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E-bikes are recognised as a sustainable mode of transportation with an unmet potential for widespread adoption. However, despite a decade of global implementation, research gaps persist regarding the design and characteristics of incentive programmes for e-bikes and their effectiveness. This review examines different design elements of implemented financial incentive programmes for e-bike uptake in OECD countries. The findings reveal three main components common to these schemes: (1) target cohort, with the majority of programmes focusing on the local population; (2) eligible e-bike types, with regular e-bikes being the most frequently chosen; and (3) financial incentive structures aimed at maximising uptake among the target cohort, with post-purchase rebates being the most prevalent. Another significant aspect identified was the allocation process, predominantly following a “first come, first served” structure. Very few (n = 4) studies included in this review assessed the effectiveness of financial incentives to purchase an e-bike. The variety of designs in these schemes, coupled with a lack of effectiveness assessments and limited evidence, highlights challenges in determining optimal transport policies. In addition to highlighting the knowledge and research gaps, this review synthesises global insights on design elements of financial incentive schemes to boost e-bike uptake, providing a guide of available components of such schemes for programme administrators in designing executive programmes. [ABSTRACT FROM AUTHOR]

Background: Encouraging alternatives to the car such as walking, cycling or public transport is a key cross-sector policy priority to promote population and planetary health. Individual travel choices are shaped by individual and environmental contexts, and changes in these contexts – triggered by key events – can translate to changes in travel mode. Understanding how and why these changes happen can help uncover more generalisable findings to inform future intervention research. This study aimed to identify the mechanisms and contexts facilitating changes in travel mode. Methods: Prospective longitudinal qualitative cohort study utilising semi-structured interviews at baseline (in 2021), three- and six-month follow up. Participants were residents in a new town in Cambridgeshire, UK, where design principles to promote walking, cycling and public transport were used at the planning stage. At each interview, we followed a topic guide asking participants about previous and current travel patterns and future intentions. All interviews were audio recorded and transcribed. Data analysis used the framework approach based on realist evaluation principles identifying the context and mechanisms described by participants as leading to travel behaviour change. Results: We conducted 42 interviews with 16 participants and identified six mechanisms for changes in travel mode. These entailed increasing or reducing access, reliability and financial cost, improving convenience, increasing confidence and raising awareness. Participants described that these led to changes in travel mode in contexts where their existing travel mode had been disrupted, particularly in terms of reducing access or reliability or increasing cost, and where there were suitable alternative travel modes for their journey. Experiences of the new travel mode played a role in future travel intentions. Implications: Applying realist evaluation principles to identify common mechanisms for changes in travel mode has the potential to inform future intervention strategies. Future interventions using mechanisms that reduce access to, reduce reliability of, or increase the financial cost of car use may facilitate modal shift to walking, cycling and public transport when implemented in contexts where alternative travel modes are available and acceptable. [ABSTRACT FROM AUTHOR]

EU recently decided to include shipping, meaning all intra-European shipping and 50% of extra-European voyages, in the EU Emissions Trading System (ETS) beginning in 2024. This article provides an early assessment of the impacts of the EU ETS on the shipping sector's potential reductions in greenhouse gas emissions for different types of ships. It further examines selected mitigation measures and the impact on modals split and costs. The study employs a mixed-methods approach combining quantitative estimates (based on data from the EU monitoring, reporting and verification system) with qualitative data and information from interviews with key actors and from previous literature. This approach aims to provide a comprehensive understanding of the impacts of the EU ETS. The inclusion of shipping in the EU ETS is expected to introduce significant incentives to reduce emissions. We estimate that switching to bio-methanol at an emissions allowance price of €90–100/tCO2 will be cost-effective for a minor share of shipping segments (representing about 0.5-5% of all ships), whereas at a price above €150/tCO2 it could be cost-effective for a considerable share (potentially 75%) of ships. In the short term, the costs incurred by the EU ETS will be passed on to transport customers as a surcharge. The increased cost may, unless properly addressed, drive carbon leakage. Meanwhile, a modal shift away from shipping may occur in the roll-on, roll-off (RoRo) and roll-on passenger (RoPax) segments due to direct competition with road and rail transport and the relative ease of shifting to other modes of transport. Integrating shipping into the EU ETS is an important step towards reducing GHG emissions in the sector but also will reduce emissions of NOX, SOX, and PM. CO2 emissions from shipping constitute about 8% of GHG emissions from all sectors in the EU ETS. The need to purchase allowances will increase operating costs, which will initially be passed on to transport customers as a surcharge. Interviews confirm that a modal shift away from shipping to road and rail may occur in the RoRo and RoPax segments. Switching to bio-methanol may be cost-effective mainly for some ships in the RoRo, RoPax and reefer segments at an allowance price below €100/tCO2, while for most ships (about 85–100% of ships) it will be cost-effective above €200/tCO2. [ABSTRACT FROM AUTHOR]

A modal shift of freight from road to rail and waterborne transport can contribute to reduced negative externalities (mainly air pollution) from freight transport. The purpose of this paper is to identify modal shift public policy instruments in Europe and analyse their performance based on existing ex post evaluations. This analysis identifies 93 public policy instruments, in which 20 ex post evaluations were found. The evaluations mainly consider subsidies/grants at the national level or regulations and directives at the European Union (EU) level. The results suggest that evaluations of subsidies and grants at the national level most commonly describe a positive performance, while several evaluations at the EU level describe a poor or mixed performance. Well-defined targets and simpler application processes are mentioned in several ex post evaluations as suggestions for improving the performance of modal shift policy instruments in Europe. [ABSTRACT FROM AUTHOR]

• This paper reviews factors influencing shift to public transport. • The focus is on developing countries. • The findings highlight a modal shift from motorcycles to public transport. • The findings highlight a theoretical framework for the modal shift. Most studies on commuter and public transport mode choice rely on theoretical frameworks that draw boundaries between the utility function, social-ecological system, demographic and socio-economic attributes, and psychological theory. While models predicting the shift towards public transport are commonly applied in developed countries, there is a lack of similar studies that construct these models in developing countries. In addition, in some developing countries, the motorcycle is one of the main private motorised travel modes. Therefore, the modal shift from motorcycles to public transport in Southeast Asia to reduce private mobility is one of the important topics to examine. This paper presents a systematic literature review, utilising a comprehensive search strategy across electronic databases and reputable sources to identify directed acyclic graphs (DAGs), revealing factors influencing the choice and intention to shift to public transport. Data synthesis from selected studies highlights the intrinsic and extrinsic variables influencing public transport use, motorcycle use, and the modal shift to public transport. The study also proposes a theoretical framework for the modal shift in usage from motorcycles to public transport. [ABSTRACT FROM AUTHOR]

The adverse environmental consequences arising from road-based logistics operations have prompted stakeholders, including transport service providers, logistics managers, and shippers, to initiate a modal shift from unimodal road to intermodal railroad (IRR) freight transportation. However, the adoption pace of IRR in developing nations is slow. Modal shift enablers (MSEs) facilitate IRR adoption, while modal shift benefits (MSBs) signify favorable performance outcomes from MSEs' application. The main objective of this study is to rank the MSBs resulting from the adoption of MSEs in IRR freight transportation. This study proposes an integrated multi-criteria decision-making framework utilizing the spherical fuzzy analytic hierarchy process (SF-AHP) to evaluate MSEs' weights and the spherical fuzzy technique for order of preference by similarity to ideal solution (SF-TOPSIS) to rank the MSBs. The case study performed in the Indian logistics sector reveals that 'government policies and legislation enablers', 'infrastructural enablers' and 'strategic and management enablers' are the most significant MSEs, whereas reduction in vehicular pollution and related negative externalities as well as reduction of the freight transport costs including storage and handling charges are most crucial MSBs realized due to adoption of MSEs. A sensitivity analysis is conducted to assess the stability of the ranking. The results help decision-makers in implementing MSEs for MSBs and develop effective IRR adoption strategies. This study also promotes sustainable freight transportation and provides logistics practitioners, researchers, and policymakers with a precise, systematic, and practical decision-support tool. • 36 enablers of modal shift to intermodal railroad (IRR) transport were identified. • 15 benefits realized through adoption of modal shift enablers were recognized. • An empirical case analysis was conducted in the Indian logistics sector. • A hybrid framework of SF-AHP and SF-TOPSIS approach was applied. • It helps stakeholders to understand the key enablers and benefits of IRR adoption. [ABSTRACT FROM AUTHOR]

In view of the huge contribution of transportation to global greenhouse gas emissions, it is imperative to embrace more carbon-efficient transportation modes to support our environmental goals. However, few studies offer empirical evidence to evaluate the potential of shifting transportation model for carbon emissions reduction. This paper, aiming at addressing this gap, conducts an empirical study to assess the CO2 emissions reduction through modal shift from road to waterway transport (MSRW). It utilizes primary data collected from more than 200 voyages of 92 enterprises through one national pilot project on CO2 emission reduction in the Quzhou region initiated by the Chinese central government. Specifically, it employs empirical analysis based on bottom-up methodologies to investigate the potential for CO2 emission reduction through MSRW. The results reveal that MSRW can aid to benefit 45,907 tons CO2 emission reduction from the modal shift within the study scope. When considering factors such as distance and voyage density, it provides new quantitative insights into the advantages of water transport over road transport in terms of CO2 emission reduction under different scenarios. Consequently, this study makes new contributions to the quantification of the benefits that an investigated region/city can derive from transport modal shift. It thereby lays the groundwork for effective cost-benefit analysis and policy implementation toward cleaner transportation. • Use of a hybris of energy consumption approach from a new analysis perspective that consider multiple-dimensional MSRW. • Provide a new research method to enable the quantification of the carbon emissions of an entire transport chain in detail. • Provides a solution to the evaluation of the effect of the implementation of transport policies on carbon emissions. • Investigate the MSRW to stimulate cost-benefit analysis and transport policy implementation towards clean transportation. [ABSTRACT FROM AUTHOR]

Cycling is seen as a desirable modal choice due to the environmental, economic and social benefits to individuals and cities. While North American cities have expanded their targeted infrastructure and programs, cycling still is a marginal mode compared to modal shares observed in western Europe. In an effort to promote a more sustainable transport future, the City of Toronto has highlighted two key policy objectives in the City’s Official Plan for 2050: (i) to ensure that all residents are within one kilometer of a designated cycling route, and (ii) 75% of trips under 5 km are walked or cycled. This paper evaluates the potential for cycling in Toronto considering different cycling vehicles, areas, trip purposes and demographics, and how these change given the presence of cycling infrastructure. Using travel survey data and routing software, we propose a method to analyze the Trip Completion Potential (TCP) of cycling, defined as the rate of completable trips within a 30-minute travel time cutoff and the changes in value given different Levels of Traffic Stress (LTS). Overall, our analysis found that cycling can be a viable transport option for short and medium-length trips for many individuals and trip purposes. However, both the urban form and provision of a convenient cycling network play a vital role, especially in suburban areas, as seen in the decrease in TCP of cycling at different LTS levels. We conclude our analysis by proposing some key guidelines to achieve the objectives defined by the City of Toronto in an equitable manner. [ABSTRACT FROM AUTHOR]

Multimodal Freight Transport (MFT) has been introduced as a solution for reducing the external costs of freight transport while achieving cost improvements. Despite the MFT benefits, its share has been low in practice, and transport by trucks remains the most preferred transport mode. A few works have recently investigated this issue by discussing various barriers to MFT. However, little conceptual work comprehensively examines the barriers that organizations may face during MFT applications. To address this gap, this paper has reviewed 104 studies and identified 31 barriers and possible strategies for overcoming them. To clarify the nature of these barriers, we developed a conceptual barrier framework that positions the identified barriers within the overall MFT chain. This framework categorizes the barriers into six categories: MFT terminal, MFT network, management, regulations and subsidies, delivery characteristics, and interoperability. The findings provide decision-makers and practitioners with theoretical and practical insights into the barriers to transition toward MFT and will assist them in implementing MFT successfully. [ABSTRACT FROM AUTHOR]

There are large disparities in access to green technologies between countries and among different demographic groups within countries. Unless carefully managed, the energy transition risks exacerbating some of these inequalities, for example, by burdening those who are excluded from efficient new technologies with the costs of maintaining legacy infrastructure. The energy transition will create new interdependencies between sectors—for example, between buildings, the power sector, and transportation—requiring integrated design of policies and infrastructure in different sectors. The equitable adoption of new technologies is contingent on broadening access to enabling technologies such as the Internet and payment systems. Decisionmakers must focus on new technologies that remove disparities in access to services but do not replicate current inefficiencies in providing those services (e.g., equitable access to mobility—not only to motorized personal vehicles). Data at higher resolutions and with broader coverage are needed to design equitable technology deployment strategies and evaluate their success. [ABSTRACT FROM AUTHOR]

Bike-sharing systems allow occasional and regular users to travel by replacing other transport modes for the same trip or generating a new journey. Our research assesses the demand for Lisbon's public dock-based bike-sharing system (BSS), named GIRA. This paper aims to identify the determinant factors that influence the potential of the BSS to generate new trips or replace previous modes using a conditional logit model based on a survey of 3112 BSS users. The survey results indicate that GIRA generated approximately 20% of the BSS trips, i.e., they would not have been realized if GIRA did not exist. The remaining BSS trips replaced other motorized (55%) and non-motorized (25%) trips. The main determinants explaining a higher likelihood of replacing different modes are having a yearly GIRA pass and a bike-sharing station within a 5-min walk. In contrast, regular car users are more likely to generate new trips, suggesting they use bike-sharing for recreational purposes. The findings provide policymakers with an assessment of determinants which may influence bike-sharing users to generate or replace trips from other modes and, consequently, define policies to potentially increase bike-sharing. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the conditions that must be met for modal shift (i.e., the transfer of freight transport from road to rail). In addition to describing the competitiveness conditions, the paper makes technical and organizational proposals for rail freight traffic management. One of the most important conditions is that rail-road intermodal freight transport must be competitive in time and price with unimodal road freight transport. The freight transport model presented in this article provides a solution to this problem and an approach to estimating the additional intermodal freight traffic. Another important criterion is the relatively dense network of road-rail links, known as intermodal transshipment points (ITPs) along main railway lines. The proposed model can be compared to the freight transport model described in the term Physical Internet, with the addition that the objective is to minimize road haulage when locating ITPs (or hubs). ITPs are rail-road terminals or, more precisely, transshipment points, which differ substantially from the commonly used continental terminals. The third condition to be met is a horizontal container handling procedure that can be applied efficiently (i.e., at low cost) under the railway catenary and is capable of handling intermodal units used in continental traffic and maritime freight. Finally, an example for the Visegrád countries is presented. The essence of the example is the potential additional freight traffic or modal shift that could be included in the proposed ITP network. We believe that a modal shift could occur for up to 50% of the indicated heavy goods vehicle (HGV) traffic if the offer is competitive. [ABSTRACT FROM AUTHOR]

This paper aims to assess changes in mobility and modal shift caused by COVID-19 travel restrictions among the residents of Gdańsk Bay Metropolis (Poland). Measurement’s moments were assumed in periods differing in the level of restrictions. The computer-assisted telephone interview (CATI) was carried out in November and December 2020. The results did not confirm the expected modal shift. However, significant changes in the number of trips between periods were observed. Restrictions in the first period of the pandemic resulted in a greater decrease in mobility than the restrictions at the end of the year. Moreover, significant associations were found between transport behaviour and place of residence. Nevertheless, possible negative changes in the modal split after the pandemic ends should be counteracted by improving the quality of public transport services. As the most important attributes of public transport attracting passengers after the pandemic respondents recognized: high frequency of vehicles, low cost of travel, not overcrowded vehicles. However, some residents declared they will not use public transport regardless of service improvements. Consequently, to meet the objectives of sustainable mobility policy, it can be necessary to increase the share in the modal split of other sustainable modes of travel. [ABSTRACT FROM AUTHOR]

There has long been evidence of the benefit of a modal shift toward cycling can bring to meeting several pressing urban challenges including ill-health, climate change, and poor air quality. In the wake of COVID-19, policy-makers have identified a modal shift toward cycling as part of the solution to mobility challenges introduced by social distancing measures. However, beyond exemplar areas, cycling has been largely characterized by a stubbornly-low modal share. In this paper, we use the 'ordinary city' – in cycling terms – of Liverpool as a case study to understand this. We apply practice theory in doing so, finding the provision of materials for cycling is the key factor in supporting a modal shift. Not only do they provide the means to support the practice of cycling in the city, but they also have a key role in shaping individuals perceptions of, and the skills required to cycle. We then reflect upon the utility of practice theory in understanding the patterns of everyday life, finding it was particularly well suited in understanding the interactions between different factors which influence modal choice. We go on to identify practical challenges in its application within our analysis raising questions around an inconsistent analysis of influential factors including 'driver behavior' and 'political commitment'. We suggest how this might be overcome, through the isolation of such factors within a category of 'action of others', this we argue means the findings in this paper have broad relevance to researchers and policy-makers alike. [ABSTRACT FROM AUTHOR]

The issue of shifting loads from road to rail is always vivid when it comes to reducing CO2 emissions from transport. Practically not every load transported by road vehicles over a long distance can be transferred to rail. Additionally, the potential of the railway lines is limited, which means that the network is not able to accept huge amounts of loads from road transport. In the article, attention was paid to the typology of cargo susceptible to changing the means of transport. The article discusses the factors influencing the real possibility of CO2 reduction by changing the mode of transport. The analysis and calculation example of the selected region in Poland is presented. [ABSTRACT FROM AUTHOR]

During the year 2020, the COVID-19 pandemic affected mobility around the world, significantly reducing the number of trips by public transport. In this paper, we study its impact in five South American capitals (i.e., Bogotá, Buenos Aires, Lima, Quito and Santiago). A decline in public transport patronage could be very bad news for these cities in the long term, particularly if users change to less sustainable modes, such as cars or motorbikes. Notwithstanding, it could be even beneficial if users selected more sustainable modes, such as active transport (e.g., bicycles and walking). To better understand this phenomenon in the short term, we conducted surveys in these five cities looking for the main explanation for changes from public transport to active and private modes in terms of user perceptions, activity patterns and sociodemographic information. To forecast people's mode shifts in each city, we integrated both objective and subjective information collected in this study using a SEM-MIMIC model. We found five latent variables (i.e., COVID-19 impact, Entities response , Health risk , Life related activities comfort and Subjective well-being), two COVID-19 related attributes (i.e. , new cases and deaths), two trip attributes (i.e., cost savings and time), and six socio-demographic attributes (i.e. , age, civil status, household characteristics, income level , occupation and gender) influencing the shift from public transport to other modes. Furthermore, both the number of cases and the number of deaths caused by COVID-19 increased the probability of moving from public transport to other modes but, in general, we found a smaller probability of moving to active modes than to private modes. The paper proposes a novel way for understanding geographical and contextual similarities in the pandemic scenario for these metropolises from a transportation perspective. [ABSTRACT FROM AUTHOR]

Southern European countries such as Portugal still have a low bicycle share (up to 1%). Therefore, it is fundamental to research the potential benefits and drawbacks of modal shifts. This work analyses the implementation of a bike-sharing system (BSS) and its expected implications in emission reductions from road traffic for the case study of Coimbra city, Portugal. Although many different pollutants result from road traffic, we focused on small Particulate Matter (PM2.5) due to its harmful effects on human health. The methodology considers an integrated set of models for a) estimation of potential demand for the use of bike-sharing; b) mobility studies for the analysis of travel behavior; c) optimization modeling for the location of the bike-sharing stations and d) traffic emission modeling, to estimate the reduction of emissions due to bike-sharing modal shift. We considered two different potential scenarios for the location of bike stations. A modal share shift from car use toward bicycle in each is assumed, and the consequent traffic reduction and the associated emissions reduction are analyzed. The results show a non-homogeneous relation between traffic reduction and emission reduction across the urban space, achieving 12.5% of daily PM2.5 emissions in some urban roads. [ABSTRACT FROM AUTHOR]

Background: A high proportion of adolescents worldwide are not doing enough physical activity for health benefits. Replacing short motorised trips with walking or cycling has the potential to increase physical activity at the population level. This study aimed to estimate the proportion of short distance motorised trips that could be replaced with walking or cycling, and the potential physical activity gains by sociodemographic and trip characteristics.Methods: Data were from a subsample of the NEighbourhood Activity in Youth (NEArbY) study conducted among adolescents in Melbourne. A total of 217 adolescents with at least one motorised trip completed a survey and wore a Global Positioning Systems (GPS) device for eight consecutive days. Classification of travel modes were based on speed. GPS data points were geocoded in ArcGIS. Motorised trips within walkable (1.3 km) and cyclable (4.2 km) distances were identified (threshold based on 80th percentile of walking and cycling trip distances among Victorian adolescents), and the additional physical activity minutes that could be accrued by replacing walkable or cyclable motorised trip to active trips were quantified. Multilevel linear regression was used to assess differences in physical activity minutes gain by sociodemographic and trip characteristics.Results: A total of 4,116 motorised trips were made. Of these, 17% were walkable and 61% were cyclable. Replacing motorised trips by walking and cycling resulted in estimated gains of six minutes and 15 min of physical activity per day, respectively.Conclusion: The sizable proportion of replaceable trips and potential physical activity gains from this shift calls for attention to improve safe and connected infrastructure to support active travel. [ABSTRACT FROM AUTHOR]

Despite high ambitions, policies for a modal shift in Europe have largely been unsuccessful. Part of the explanation relates to the inelasticity of freight transport demand. Understanding the demand elasticity of freight transport is important to design and appraise policies for external cost reductions in the transport sector. There have been many studies focused on estimating the elasticity of demand for short-sea shipping, a mode which policy makers have often aimed to strengthen to facilitate a modal shift from road freight. The objective of this review is to build upon the available literature by presenting and comparing estimated elasticities and to demonstrate the state of evidence through the application of two methodological approaches. Our review shows that there is a surprising degree of variation in elasticity estimates, part of which can likely be explained by differing methodological approaches. Applying a deterministic cost-minimising freight transport model and a stochastic multinomial logit approach based on responses from the Swedish Cargo Flow Survey, we demonstrate the inelasticity of Swedish maritime freight flows and provide suggestions for future research and policy discussions. For future studies of maritime transport demand elasticities to arrive at reliable and policy-relevant results, we highlight the need for combined and pluralistic methodological approaches and an increased use of real-world data. [ABSTRACT FROM AUTHOR]

This study evaluates the competitiveness of Brazilian maritime container cabotage within a multimodal transportation super network, employing an adapted All Pairs Shortest Path (APSP) algorithm to solve the All Pairs Minimum Cost Path problem. The research analyzes cost structures, environmental impacts, and operational efficiencies across 637 cities, 18 container terminals, 8 barge terminals, and 301 maritime routes. Key metrics, including freight rates, in-transit inventory costs, and CO 2 equivalent emissions, are incorporated into the network's impedance values, enabling a comprehensive comparison between maritime cabotage and road transportations modes. Results indicate that maritime cabotage holds a significant cost advantage over road transportation mode for long-haul routes, particularly when distances exceed 1.800 km. Additionally, maritime cabotage offers substantial environmental benefits, with CO 2 equivalent emission reductions of up to 41,3 %, depending on the route and cabotage shipping company. [ABSTRACT FROM AUTHOR]

[Display omitted] To overcome the challenge transport presents to net zero, the Scottish Government has proposed a series of interventions to significantly reduce transport emissions and car kilometres travelled. This paper develops, validates and applies a system dynamics model of the Scottish road passenger transport sector to interrogate key proposed interventions up to 2030: namely, modal shifting sub-10 km car journeys to active travel, modal shifting medium-length car journeys to buses, achieving a majority electrification of the bus fleet, and replacing 50 % of petrol/diesel cars with electric vehicles. Results indicate government targets can be met, but only as a result of multiple interventions. Modal shifting of medium-length car journeys and private car electrification are predicted to be the most effective interventions for emissions reduction, although these measures alone do not attain reduction targets. Results further indicate that realising the reduction in car kilometres does not guarantee the emissions target will also be achieved. [ABSTRACT FROM AUTHOR]

Transport policies targeting emission reduction and air quality improvement typically discourage private car use and promote shifts to mass transit (bus, metro). However, possible increase of travelers' exposure while adapting to those policies have often been overlooked, which is addressed in this work via a case study of Heavy Pollution Episodes (HPEs) in Chengdu, China, using city-scale traffic camera and transit ridership data. By investigating traffic fluctuation and modal shift under prolonged license plate rationing for private cars and free or discounted fare for mass transit, we show that the reduction of small car traffic was marginal (up to 2.3 % in 24-hour periods), which, environmental benefits wise, is negligible according to air quality modelling. Meanwhile, over 3.23 % of car users switched to mass transit during Orange-level alerts, with a higher degree (by 19 %–39 %) of exposure to PM 2.5. Our findings highlight the importance of exposure-centric decision making during HPEs. [ABSTRACT FROM AUTHOR]

• The Low Emission Zone can reduce pollutant emissions within the regulated area. • A spillover effect might occur outside the Low Emission Zone. • The Low Emission Zone can contribute to promote sustainable travel habits. • Awareness of the benefits of the Low Emission Zone can increase modal shifts. • Behavioral changes after Low Emission Zone enforcement affect environmental impacts. Exposure of the population living in urban areas to an increasing level of air pollution has led local authorities to implement vehicle access restrictions to limit the circulation of pollutant vehicles and foster sustainable travel habits. With these aims, Low Emission Zones (LEZs) have been introduced in several European cities. Many previous works have evaluated the impacts of such regulation; however, they adopted pre-defined assumptions about new travels to access the regulated area and neglected potential behavioral changes induced by the measure. The aim of this paper is to quantify the effects of a LEZ on vehicle pollutant emissions, considering potential short-term variations of travel habits after its introduction (i.e., vehicle replacement, modal shift and destination change), and the associated uncertainty. The study area was the Municipality of Padova (Italy), where a LEZ is likely to be enforced. A holistic evaluation framework was applied combining a behavioral model and a traffic simulation model, calibrated using responses from a mobility survey administered to local stakeholders and traffic counts. The results highlighted the measure could contribute to induce fleet renewal and modal shift toward sustainable transportation means, that could be furtherly fostered by increasing the awareness of the benefits of the LEZ. Furthermore, the outcomes confirmed that the intervention could significantly reduce vehicle pollutant emissions within the area. Nevertheless, a spillover effect could occur outside the LEZ, due to the long detours that travelers deciding to avoid entering the zone have to perform. [ABSTRACT FROM AUTHOR]

Introduction: To reduce pollution from motorized private cars, a modal shift toward more sustainable modes, such as public transport, is desired. A first step to achieving this is the subscription to a public transport ticket. It was investigated if an extended version of the theory of planned behavior is suited to predict subscription to a public transport ticket, and if environmental concern—the channel through which many sustainable transport modes are advertised—plays a significant role. It was further examined if nudging serves as an effective measure in convincing employees to subscribe to the offered ticket. Nudges encourage desired behaviors by changing the information set that individuals face when taking decisions; in this paper, this includes favorable defaults and the manipulation of the social norm. Since nudges lack a coherent theory, it was tested if these nudges can be integrated into the aforementioned theory. Method: By means of an online experiment, participants (N = 373) were randomly assigned to different nudging conditions or a control condition. The questionnaire mimicked a working contract, including the decision for or against a subscription to the ticket. Results: Results of structural equation modeling revealed that the theory predicted the purchase decision well, yet the impact of environmental concern was surprisingly low. Most tickets were purchased in the default condition, but no nudge reached statistical significance. Discussion and Conclusion: The limitations of nudging in the transport sector are discussed, along with the effectiveness of advertising public transport through an environmental lens. [ABSTRACT FROM AUTHOR]

Electric micromobility systems such as e-bikes and e-scooters represent sustainable mobility options especially for specific classes of travelled distances. Moreover, the coverage and accessibility of transit services can be expanded through the implementation and promotion of these systems. Therefore, transport engineering is dealing with the development of new tools to support the forecast of the potential demand both for door-to-door trips and its integration with transit. With respect to these incoming research challenges, the paper proposes a methodology to investigate private mobility through floating car data (FCD) to identify the potential demand that can be shifted from cars to electric micromobility (e-micromobility) systems while also exploring the opportunity to increase transit usage. The benefits of such methodology have been evaluated on a real large test case, i.e. Rome (Italy), through an FCD dataset of about 240,000 monitored vehicles. The developed methodology is parametric and, thus, it can be easily transferred to other city contexts taking into consideration the compatibility of the local network infrastructures and the micromobility solutions. In Rome, it was estimated that the potential demand for e-micromobility can reach a maximum value of about 20% of weekday-trips, while about 10% of the morning peak trips could potentially be interested in a multimodal trip (i.e. mass transit services and e-micromobility for the access/egress). Results can be adopted by local authorities, transport companies and electric mobility providers to optimize infrastructural measures or the location of shared e-scooters and e-bikes to increase potential e-micromobility demand, as well as to increase the number of multimodal mobility options. [ABSTRACT FROM AUTHOR]

The majority of Australian adolescents are insufficiently active and becoming car dependent. Replacing short passive travel (i.e. car, public transport) with active travel could be an important potential strategy to increase physical activity. This paper aims to characterize adolescents' travel patterns to various destinations, identify passive trips that could be feasibly replaced by active travel, and the characteristics associated with those trips. Analyses were based on 2,192 Victorian secondary school students aged 12-17 years with 24-h travel diary data in the Victorian Integrated Survey of Travel Activity 2012 − 2016. Feasible distance thresholds for walking and cycling were determined at the 80th percentile of distances of reported walking and cycling trips in the sample. Comparison tests were conducted to assess whether travel patterns differed by sociodemographic characteristics. Multilevel logistic regression analyses identified characteristics of individuals that could replace passive trips with active travel, and characteristics of passive trips that could be replaced by active travel. About 11% of adolescents could feasibly replace at least one of their short passive trips with walking and 48% could feasibly replace at least one of their short passive trips with cycling. Of all the passive trips recorded, about 8% could be replaced with walking and 44% could be replaced with cycling. Trips that commenced within daylight hours, and trips made for shopping and social reasons had higher odds of being replaceable by active travel. The sizable proportion of replaceable passive trips within the cyclable threshold calls for greater emphasis on encouraging cycling. [ABSTRACT FROM AUTHOR]

Reducing the modal share of car travel in commuting implies challenging meanings of everyday mobility that tie commuting to driving. Existing research has focussed on describing ways in which everyday mobility is meaningful. However, why shifts in meanings occur remains largely unexplored. This article asks how meanings become ascribed to everyday mobility and identifies dynamics that play a role in shifts in those meanings. We analysed interviews with short distance commuters in two Swiss cities. Combining the analytical foci of the mobilities turn and practice theories, we developed a typology of four registers through which meaning is ascribed to everyday mobility (functional, hedonic, representative, habitual) and identified three sets of dynamics that play into shifts between these registers: i) dynamics related to the spatio-temporal complexity of everyday life, ii) dynamics emerging from different and changing social representations of mobility, and iii) dynamics tied to subjective experiences of everyday mobility. Our findings indicate that shifts in meanings and performances of everyday mobility must be analysed together, and that differences in how commuters ascribe meaning to everyday mobilities can reveal structural dynamics inhibiting the spread of pleasurable low-carbon everyday mobilities. [ABSTRACT FROM AUTHOR]

A light rail transit system (LRT) has been proposed for the city of Colombo as a solution to traffic congestion and the first LRT line is under design stage. This proposed LRT is expecting a major mode shift from private vehicle users to LRT and thus integration of private to public mode (mainly cars to LRT) is essential for LRT to sustain. To reinforce this integration, a Park and Ride (P&R) system is proposed, which is a commonly used and well-accepted strategy in most cities around the world. However, application of this P&R concept was failed in Colombo, Sri Lanka in the past when implemented to promote bus transit due to various reasons. Therefore, there is a big question mark whether a park and ride facility would help to attract more private vehicle users to LRT in Colombo. This study is focused on assessing the effect of a park and ride facility in conjunction with the new Light Rail transportation, especially what parameters are predominant to attract more users. A Discrete Choice Experiment was used to evaluate potential users' choice. This experiment has revealed that potential users are more concerned about travel time savings and walking distance, while parking availability is also a significant factor with less probability. Travel cost savings and LRT frequency found to be trivial. To attract more users for a P&R among those who make short trips, walking distance to the parking facility is a crucial parameter to consider in the planning stage. The results of this study shed the light on key parameters that need to be considered when planning park and ride facilities as a supporting infrastructure to enhance the demand for new LRT lines. [ABSTRACT FROM AUTHOR]

Developing countries are more fragile in the face of the crippling Covid-19 pandemic. Transportation is one of the major industries that has been hardly hit worldwide, and it is more worrying for these countries that already have challenges such as high modal share of private cars, air pollution, and high fatalities due to car accidents. This paper is one of its first kinds that studies the impact of this pandemic on the transportation of Tehran, the capital of Iran, which is one of the forefronts of the battle. In the first step and to get better insights from the travel behavior of passengers due to the pandemic, an online questionnaire is developed and distributed. Priorities for mode choice before and during the pandemic decrease and increase in the share of different modes and the impact of having a high-risk person in the family is studied. Subway had the most decrease and private cars had the highest increase. Hence, two logit models are developed to explain the variables that affect shifting away from the subway and shifting to private cars. Based on the results, a follow-up survey some months later and ridership trends of public transportation during the pandemic, four scenarios are envisaged for the post-corona world, the most probable one is highlighted and policies are recommended to better manage the situation. [ABSTRACT FROM AUTHOR]

Previous studies have focused on the combined impact of psychological factors, situational influences, built environment characteristics and mobility constraints on mobility behaviors. However, no studies have yet focused on exploring how the impact of these predictors change because of different distances to travel among university commuters. Therefore, the present study aims to fill this gap by investigating how commuting distance moderates the influence of the variables mentioned above on mobility behaviors. A total of 4,135 participants from an academic organization in Italy responded to an online questionnaire. Bayesian estimates indicate that the young generation is more willing to use sustainable modes of transport for short (<5 km) and medium (5-30 km) commuting trips. Personal values and family needs are an essential determinant of the car use only for short and medium distance trips while beyond a certain threshold (>30 km), these effects are no longer significant. Within medium distances, easy access to a shared mobility service increases the likelihood of using this mode of transport instead of private car use. Finally, with a reminder of the habit discontinuity hypothesis, people who have experienced more than one disruptive event and need to cover longer distances than before could be more prompt to change their habits toward more sustainable means of transport. Future research, policies, and interventions to encourage the adoption of sustainable means of transport are discussed, taking into consideration the role of different commuting distances. [ABSTRACT FROM AUTHOR]

Because transport in the port hinterlands heavily depends on roads with negative externalities, much social interest has been in modal shifts (MSs) to rail and shipping with lower environmental impact. Currently, leading industry sectors to ambitiously embrace technological innovations to decarbonize—consequently, in line with these changes, the significance of MSs should change; however, no previous studies have comprehensively presented the overall CO 2 emissions and transport mode shares for future regional cargo transport. This paper presents a scenario analysis of CO 2 emission reductions in the Japanese domestic hinterland of international maritime container transport based on future scenarios of technological innovation and change in shipper behavior. The simulation results using the global logistics intermodal network simulation model showed that up to 87% CO 2 reduction is possible, and the primary driver for this is technological innovation. Moreover, the significance of MSs fluctuates depending on the advancement of technological innovation, suggesting that MSs hold a degree of import as a decarbonization measure during the transitional phase toward carbon neutrality (CN) as technological innovation advances. The results of this study, which fluctuated considerably by scenario and timing, have policy implications with respect to the path to be followed toward CN, including whether to promote MSs. • Scenario analysis of CO 2 emission reductions in Japanese maritime transportation. • Up to 87% CO 2 reduction possible using technological innovation. • Significance of modal shifts fluctuated with the degree of technological innovation. • Policy implications suggesting that the path toward carbon neutrality is crucial. [ABSTRACT FROM AUTHOR]

In this study, we address a biobjective multimodal routing problem that consists of selecting transportation modes and their respective quantities, optimizing transshipment locations, and allocating port orders. In the objective functions, we minimize total transportation costs and use the EcoTransit methodology to minimize total greenhouse gas emissions. The optimization model selects the transportation mode and transshipment port where quantities are transshipped from one mode to another. We compare inland waterway transportation and trucks encountering infrastructure failures that require rerouting or modal shifting in a real-life case study on the supply of goods for the chemical industry in the West German canal system. We propose a population-based heuristic to solve large instances in a reasonable computation time. A sensitivity analysis of demand, of varying lock times, and of infrastructure failure scenarios was conducted. We show that compared with inland waterway transportation, multimodal transportation reduces costs by 23% because of longer lock times. Our analysis shows that the use of inland waterway transportation only during infrastructure failures imposes nearly 28% higher costs per day depending on the failure location compared to that of the case of no failures. We also show that the use of a multimodal transportation system helps to reduce this cost increase in lock failure scenarios. [ABSTRACT FROM AUTHOR]

It is widely acknowledged that freight transportation in general, and road freight transportation in particular, contributes significantly to greenhouse gas and pollutant emissions. In response, many countries have implemented incentive schemes to divert freight traffic from roads towards more environmentally friendly transportation modes (e. g. , rail, maritime). However, incentive-based policies to promote modal shift are often sporadic and uncoordinated across non-road modes, thus preventing full leverage of dedicated budgets. In this study, we present a strategic problem encountered by national and supranational entities aiming to reduce emissions from the freight transportation sector, referred to as the Modal Shift Incentive Problem (MSIP). The problem involves designing incentive policies in the form of subsidies aimed at reducing the cost of eco-friendly transportation modes, with the aim of minimizing the volume of freight transported via less environmentally friendly modes. These incentive policies must satisfy various constraints, including a limited budget for incentives, equity requirements, and compliance with regulations pertaining to competitiveness and free-market dynamics. To address the MSIP , we propose an original mathematical formulation on the basis of a deterministic threshold modal choice model used to simulate the shipper behavior in selecting the transportation modes. Then, we develop a two-phase solution method, able to determine good solutions with a small computational burden based on the generation of a subset of promising incentive schemes. Finally, we solve real-world instances generated utilizing data derived from a comprehensive case study in Italy. The results on different instance types, in terms of number of shipments, budget, and costs, show the relationship between these factors, the complexity of the MSIP , and the modal shift. • We study the Modal Shift Incentive Problem (MSIP). • The MSIP targets subsidy schemes for transport modes to reduce emissions. • We consider a deterministic threshold modal choice model for the MSIP. • Exact and heuristic approaches have been developed to tackle the MSIP. • The proposed approaches could be profitably utilized by policymakers. [ABSTRACT FROM AUTHOR]

Transport mode choice models commonly incorporate factors such as utility maximisation, socio-ecological considerations, socio-demographic characteristics, and psychological factors. However, there is still a lack of integrated models linking objective factors, such as travel mode attributes, demographic & socio-economic characteristics and built environmental characteristics, with subjective factors, such as attitudes, personal norms, and perceived behavioural control, to better understand the commuters' modal choices. Furthermore, a clear research gap exists on mode choice behaviour in Southeast Asian countries, where motorcycling is widespread. This study aims to address these research gaps by analysing data gathered from 618 Vietnamese motorcyclists between December 2020 and February 2021. Reliability analysis and a Bayesian network are used to identify the objective and subjective factors influencing the intention to use public transport among Vietnamese motorcyclists. The findings highlight that among five subjective factors, personal norm is the most sensitive parameter in calculating the posterior probability distribution of intention and decision to use public transport along with other objective factors, namely travel time and travel cost. The results also reveal that motorcyclists aged 23 + have a higher perceived value of travel time than those aged 23–. In contrast, motorcyclists aged 23– and female motorcyclists have a higher perceived value toward environment-friendly travel modes, such as public transport. At the same time, they do not try to differentiate themselves from the societal standards in terms of motorcycle usage. The findings of this study provide valuable insights to local urban/transport planners and policymakers in Southeast Asian countries. [ABSTRACT FROM AUTHOR]

The present study focuses on the relationship between the Covid-19 pandemic and mobility patterns. By using data from an international survey, transport users' socio-demographic features and travel characteristics during the pre-pandemic and pandemic time are analyzed.Afterward, the pandemic commuting travel behavior is modeled. The multinomial model shows that public transport users are 31.5, 10.6, and 6.9 times more likely to change their commuting transportation mode than car users, motorcycle users, and walkers, respectively. The results demonstrate that travel distance and income level are the two most influential factors in pandemic decision-making. These results confirm the reflection of spatial-economic inequalities during the pandemic. Active modes, motorcycle, and personal car are perceived by the participants as the least risky urban transportation modes during the pandemic. Thus, a considerable growth in individual transportation modes, up to 26% increase for commuting and up to 15% for leisure activities, can be recognized. [ABSTRACT FROM AUTHOR]

E-scooter sharing provides a last-mile solution to complement transit services, but less was known about its effectiveness in serving short-distance transit trips. We investigate the potential of using e-scooter sharing to replace short-distance transit trips of excessive indirectness, multiple transfers, and long access-egress walking. First, we conducted a stated preference survey on e-scooter users in the Central Area of Singapore and estimated mixed logit models to examine factors influencing the choice of e-scooters and transit. We then calculated the number of transit trips that can be replaced by e-scooters. Second, we analyzed the decision of e-scooter companies in terms of the trade-offs between serving more e-scooter trips and making more revenue under varying fares. The results show that fare, MRT transfer, and MRT access-egress walking distance have significantly negative impacts on mode utilities with random tastes among respondents. Male, young and high-income groups are more heterogeneous in e-scooter preferences compared with other groups. The loss of mode share can be nearly 17% if maximizing the revenue. We classify trade-off situations into five categories and provide suggestions of how to balance between mode share and revenue for each category. Several implications are drawn for better harnessing and regulating this new mobility service, including where to deploy e-scooters to satisfy the demand unmet by the transit and how to reach a proper balance between private operators and public welfare. [ABSTRACT FROM AUTHOR]

Purpose: A fully electrified transport chain offers considerable potential for CO2 savings. In this paper, we examine the conditions necessary to introduce a fully electrified, large-scale, high-speed rail freight transport system in Europe in addition to high-speed passenger trains, aiming to shift goods transport from road to rail. We compare a novel high-speed rail freight concept with road-based lorry transport for low-density high value goods to estimate the potential for a modal shift from road to rail in 2030. Methods: To characterize the impacts of different framework conditions, a simulation tool was designed as a discrete choice model, based on random utility theory, with integrated performance calculation assessing the full multimodal transport chain regarding costs, emissions and time. It was applied to a European reference scenario based on forecast data for freight traffic in 2030. Results: We show that high-speed rail freight is about 70% more expensive than the conventional lorry but emits 80% less CO2 emissions for the baseline parameter setting. The expected mode share largely depends on the cargo's value of time, while the implementation of a CO2-tax of 100 EUR/tCO2eq has an insignificant impact. The costs of handling goods and the infrastructure charges are highly influential variables. Conclusion: High-speed rail track access charges are a suitable political instrument to create a level playing field between the transport modes and internalize external costs of freight transport. With the given access charge structure, a reduction of the maximum operating speed to 160 km/h has a positive impact on the expected mode share of rail transport while it still reacts positively to a wide range of the cargo's time sensitivity (compared to a maximum operating speed of 350 km/h). The flexibility of rail freight's operating speed is important for an effective implementation. Further research should concentrate on time- and cost-efficient transhipment terminals as they have a significant impact on transport performance. [ABSTRACT FROM AUTHOR]

Introduction: Public transit is a sustainable transport mode that can improve the health and well-being of urban population. Following the development of mass rapid transits (MRT) in Greater Kuala Lumpur, this study aims to empirically test the behavioral framework behind the intention to use rail transport among private motor vehicle users. Methods: Data was obtained through a cross sectional travel survey (N=509) conducted on the catchment population of an upcoming MRT line in Greater Kuala Lumpur. The factors in the hypothesized framework were service quality, environmental health concerns, attitude and the intention to use. The data was modeled using the Maximum Likelihood (ML) estimation in structural equations. Results: The validated model indicated that service quality and environmental health concerns significantly affected respondents' intention to use rail transport, mediated by attitude. Reliability, convenience and comfort were the most valued service qualities, while environmental concerns were more valued than health concerns. There were significant moderation by age, income, and having children below 18 years old on the framework. Higher age groups valued more on service quality, while attitude had larger determining effects on the higher income groups. Besides, the lower direct effect of service quality on attitude among higher income groups implied possibility of other affective factors for the subgroup. Conclusion: This study demonstrated the importance of service quality, attitude, and environmental health concerns in encouraging rail transport usage among private motor vehicle users. Certain subpopulations may be targeted for promotion strategies to improve rail transport use in the city. [ABSTRACT FROM AUTHOR]

In India, long distance (greater than 1,000 km trip length) travel is accomplished by air & rail transport modes. After initiation of 'Open Sky Policy', private airlines were enrolled in air travel market under the name of Low Cost Airlines (LCA). Due to stiff competition among carriers, all the airlines are reducing fares to bolster their markets. The aim of such cuts is, partially, to attract other mode users. Such reduced fares may be tempting upper class rail travellers, particularly I AC (most gorgeous coach) and II AC (2-tier AC) passengers who can spare the air fare. In this background, a modal shift model was developed to understand the driving forces and key factors influencing the shift from upper class rail to air by conducting a Stated Preference (SP) survey among upper class rail passengers in the year 2007 (then the air fare was 50-60% higher than I AC rail fare). A similar study was conducted in the year 2019 (air fare was 10-20% higher than I AC rail fare) and a model was developed with the same set of parameters that had been significant in 2007 by applying binary logit technique to understand the implications in the current economic outline. It was observed that the fare difference between rail & air arouses significantly in inducing switch to air mode in both the cases. However, segments like 'high income passengers' and 'passengers had travel experience in air' had exhibited denial behaviour under the current situation. [ABSTRACT FROM AUTHOR]

Modal shift from road haulage to short sea shipping (SSS) has been advocated by authorities and researchers for more than two decades. This paper provides a review of literature on modal shift and pinpoints paths for future research on topics in six categories: (1) factors influencing SSS competitiveness, (2) the policy-oriented perspective, (3) environmental legislation, (4) SSS performance, (5) port characteristics, and (6) the multi-agent perspective. In particular, we propose first, in evaluating the performance of SSS versus road haulage in different trade corridors, three performance-related dimensions – the economic dimension (e.g. external costs), the environmental dimension, and the dimension of service quality – should be considered. Second, researchers should use rich, real-world, numerical data and operational research techniques to identify the relative importance of individual drivers and barriers for a modal shift from road haulage to SSS. Third proposed direction is related to assessing which groups of actors certain policies should target. In doing so, researchers should extend their policy-related focus beyond the European Union, which has long encompassed the major geopolitical scope of research on the modal shift. Fourth, to moderate the adverse impact of environmental legislation on SSS, strategic solutions need to be identified. Fifth, we also suggest that the influence of contingencies, particularly port strikes and cyberattacks, on SSS operations and approaches for managing them should be investigated. Sixth, the economic and financial advantages of coordination and alliance for each transport chain agent need to be evaluated. [ABSTRACT FROM AUTHOR]

This study investigated modal shift potential in short-distance inland container transport by considering behavioral aspects of inland container transportation mode choice using the stated choice experiment technique. This was applied to one short-distance inland container transportation corridor in Turkey between Denizli region and the seaports of Izmir. The stated choice experiment in this study included two alternatives, intermodal-rail and road transport, as they are the two inland transportation modes available in this transport corridor. These transportation modes were described by five attributes: transportation cost, transit time, delay percentage, frequency and free time. Estimation results show that all five attributes are statistically significant, however, transit time is only statistically significant in the estimations of mixed logit models with random transit time coefficient indicating the preference heterogeneity of the respondents towards the transit time. The elasticities indicate that the transportation cost attribute has the biggest impact on mode choice and the modal shift is more sensitive to the road transport costs than the transportation cost of intermodal rail. The simulations showed that the most effective policy for modal shift towards intermodal rail in the investigated corridor is doubling the train frequency and reducing transit time 50% depending on the increased frequency. The outcomes and methodological approach of the study can provide a framework for developing effective modal shift policies to reduce the high road dependency of inland container transportation in Turkey and other countries. The case-specific approach can also help to identify modal shift policies and practices tailored to the characteristics of applied transportation corridors. • The respondents have preference heterogeneity towards transit time attribute. • The transportation cost attribute has the biggest impact on modal shift. • The modal shift is more sensitive to the cost of road than the cost of intermodal. • The most effective policy is doubling the train frequency and reducing transit time. [ABSTRACT FROM AUTHOR]

This paper analyses the modal shift from a primary road-based to coastal shipping-based freight distribution. A mathematical model is developed to optimize the coastal shipping route planning under a multimodal distribution scenario. The model is applied to a case study of the outbound automotive logistics in India. Exploratory insights on the enablers and challenges to adopting coastal shipping-based distribution are presented along with the route configuration and the level of modal shift achievable based on the model results. The results of the study suggest that the current business and regulatory environment is appropriate to achieve almost one-third shift to intermodal coastal shipping, although investments in infrastructure and substantial cost reductions in ship and port operations need to be implemented to ensure further modal shift. This article is a revised and expanded version of a paper entitled Enhancing the role of coastal shipping in finished vehicle distribution—a viability study presented at The International Association of Maritime Economists (IAME) Conference, Kyoto, Japan; 27–30 June 2017. [ABSTRACT FROM AUTHOR]

Modal shift arises when a new mode (or upgraded mode) has an added advantage(s) over the existing mode for the same cost of travel. Present study aims to examine the shift behaviour of upper class rail passengers (AC - First Class, I-AC & AC - 2 Tier, II-AC) to Low Cost Airlines (LCA) under long-haul scenario (distance > 1,000 Km) in India. For this purpose, a Stated Preference (SP) questionnaire was prepared and conducted face-to-face interview survey among 300 upper class rail passengers whose trip origin as Chennai (India). The survey data was coded and a binary Logit model was developed using Statistical Software Tools (SST) software. The results indicated that the passengers making personal trip with age more than sixty travelling in upper class rail are more likely to switch to LCA. Whereas passengers who think the air travel is costly are less likely to switch to air mode. Proposed fare difference significantly influenced in modal shift behaviour with t-value of -18.46. The study revealed that when the air fare is equal to I AC class rail fare, 95% of upper class passengers are willing to shift to air mode. [ABSTRACT FROM AUTHOR]

Decarbonizing the passenger transportation sector is critical for climate change mitigation. Existing studies on net-zero scenarios using Energy System Optimization Models (ESOM) often overlook non-monetary aspects of consumers' mobility choices but primarily focus on cost aspects. This study incorporates consumers' travel time duration and valuation, and an endogenous modal shift option into the Swiss TIMES Energy system Model (STEM). STEM is applied in a multi-objective optimization framework to quantify the impacts of faster Public Transport (PT) and slower car speeds on modal shifts in the transport sector's transformation. Similarly, we assess scenarios where consumers weigh travel time less, reflecting improved travel productivity. The results show that speed variations on medium- and long-distance trips, which can be interpreted as policies for highway speed limits and more efficient PT, can induce modal shifts towards 5–10% higher PT demand. Its implied secondary effects across the energy system include a reduced need for electrification of heavy-duty trucks by 11% and a decrease in hydrogen demand in road transportation by 34% by 2050. If travelers weigh costs over travel time, PT becomes less competitive against cars. Thus, electric vehicles (EVs) need to play a more dominant role in decarbonization, with a demand increase of 13% in 2040 (+9.2 billion passenger kilometer (bpkm)) and 6% in 2050 (+5.0 bpkm), along with the need for additional 45,000 public chargers of 22 kW size. Policy implications include the emphasis on improved PT speeds, speed limits on highways, needs to achieve more widespread EV adoption, and the need for balancing travelers' decision factors when aiming for reduced transport CO 2 emissions. • Non-monetary aspects relevant for modal shift incorporated in the Swiss TIMES model. • Multi-objective optimization to quantify net-zero impacts of non-monetary aspects. • Travel speed measures induce a 5–10% demand uptake of public transport. • Weighing travel time less makes electric cars more critical for decarbonization. • Secondary energy system effects are quantified & policy implications are drawn. [ABSTRACT FROM AUTHOR]

This study explores how the introduction of high-speed rail (HSR) in China has contributed to a reduction in aviation carbon dioxide (CO 2) emissions. In line with China's Dual Carbon Policy, the nation has set ambitious goals to achieve carbon peak by 2030 and carbon neutrality by 2060, necessitating comprehensive industrial upgrades across all sectors. Despite the challenges associated with decarbonizing the aviation industry, we conduct empirical analysis to examine the competitive impact of China's domestic high-speed rail network on air transportation and emphasize the environmental benefits of HSR in reducing aviation carbon emissions. Firstly, we construct a panel dataset covering China's domestic air routes and high-speed rail spanning from 2009 to 2019. Our staggered difference-in-differences analysis reveals that the introduction of HSR had a negative impact on China's medium-haul aviation market. Specifically, our analysis estimates that the entry of HSR into the medium-short-haul (600–1000 km) and medium-long-haul (1000–1400 km) air markets resulted in the removal of over 367.8 thousand and 713.3 thousand seats per city pair, respectively. Considering China's power generation mix and carbon emission factors, we calculate that within these two distance ranges, the negative impact of HSR on aviation has resulted in significant environmental benefits. From 2010 to 2019, each city pair with an HSR connection has achieved cumulative savings, averaging 69.57 thousand and 200.69 thousand tons of aviation carbon emissions, respectively. Furthermore, with the optimization of power generation mix and the implementation of dual carbon policy, HSR will continuously contribute to saving 6,436 tons of carbon emissions per city pair by 2035. Prior to the widespread adoption of sustainable aviation fuel, high-speed rail may have played a significant role in reducing aviation carbon emissions. In conclusion, our findings confirm that if China maintains its commitment to decarbonize the power generation industry, HSR holds great potential to further reduce aviation carbon dioxide emissions. [ABSTRACT FROM AUTHOR]

In 2022, transport accounted for around one third of UK territorial emissions. Many decarbonisation pathways include modal shift as a possible way of reducing passenger transport emissions. Yet, the mitigation potential of modal shift often depends on generic behavioural assumptions rather than the technical feasibility for using different transport modes. Here travel microdata from the UK is used to systematically assess which trips could use more efficient transport modes, establishing a theoretical maximum for how much modal shift could take place with no reduction in mobility. Compared to current passenger transport use, emissions could be reduced by about 30% by changing the transport modes used for personal travel. This is possible if car use is reduced by approximately 27% and mainly replaced by trains. Further emissions savings are possible by increasing bicycle and motorcycle availability, increasing capacity of coach and surface rail, and increasing the time typically spent travelling. • A discrete choice model is used to assess potential impacts of mode shift in the UK. • Using different passenger transport modes can reduce sector emissions by about 30%. • Cars should be replaced with rail and cycling to achieve maximum emission savings. • Increasing travel times can lead to further emissions savings. • Policies to enable and encourage choice of low emission modes are discussed. [ABSTRACT FROM AUTHOR]

• NO 2 Protocol of Madrid establishes vehicle restrictions in the event of high pollution episodes. • We analyze travelers' behavior of a commuting corridor when restrictions are applied. • Modal choice in suburban trips is influenced by the mobility restrictions. • The impact on promoting a modal shift from private to public transport modes is scarce. • Stronger policy measures are needed to foster more environmentally-friendly transport modes. With the increasing concern about environmental problems in metropolitan areas, policy-makers are establishing restrictions on private vehicles in city centers to mitigate air pollution levels. Like many other European cities, Madrid fails to fulfill repeatedly the legal limits on pollutant concentrations established by the European Commission. Accordingly, in order to comply with acceptable air quality levels, Madrid City Council passed a protocol to address high NO 2 pollution episodes. This paper aims at gaining deeper insight into how emission abatement plans foster a more sustainable mobility in suburban trips. To that end, a discrete choice analysis is conducted to explore the influence of the different restriction stages on modal share in a commuting corridor. Based on traffic counts and transit entrances, two multinomial grouped logit models are calibrated. Moreover, differences across trip frequencies are studied in order to determine to what extent a modal shift from private vehicles to more environmentally-friendly modes of transport occurs. The paper concludes that modal choice in suburban trips is influenced by the mobility restrictions adopted. Nevertheless, this effect shows to be fairly limited in the case of the Madrid NO 2 Protocol. Therefore, more severe measures should be implemented to achieve a greater modal shift towards more sustainable transport modes. [ABSTRACT FROM AUTHOR]

• Understand young people's ridesplitting behavior characteristics and behavioral impacts. • Reveal evidence of ridesplitting user characteristics and its interaction with traditional modals. • Explore who use ridesplitting services and how they behave. • Find out the impacts of ridesplitting on modal shift and car ownership. • College survey data from the on-demand ride service platform of DiDi in Hangzhou, China. To better understand the young people's ridesplitting behavior characteristics and behavioral impacts on the emerging ride-sourcing platform, we present a survey-based comparison of DiDi Hitch and DiDi Express Pool that provide ridesplitting services in Hangzhou, China. Hitch is a social carpooling platform that helps commuters share rides. Express Pool is a mobility network providing pooled rides as the ridesplitting option of Express. In this paper, we explore why ridesplitting is popular, which mode is the primary, and how ridesplitting affects young people's travel behavior. A total of 607 investigated responses were collected via the DiDi ride-sourcing platform. Based on the survey data, a variety of behavioral aspects were analyzed, including the trip purpose, temporal and spatial characteristics of trips, travel time/cost variation, and modal shift frequency. Behavioral impacts on modal shift were further analyzed in a binary logit framework. The findings show that Hitch and Express Pool have both similarities and differences. Hitch is intended for long trips, while Express Pool is mainly intended for short trips as a supplement of multimodal mobility. It also provides evidence for ridesplitting user identification and the market share loss of bus and taxi. Some suggestions are raised for discussions in future research. [ABSTRACT FROM AUTHOR]

Even though air travel often provides the fastest transport option, it also has the highest climate impact. Especially on long-haul trips, an aircraft usually represents the only feasible option. Nevertheless, aircraft are more often used on short-haul routes as well. It is the short-haul flights that produce the highest emissions per passenger. These are also the ones that could be replaced the most easily by land-based transportation modes. This study investigates the greenhouse gas emissions reduction potential of replacing short-haul flights with train, coach and car travel within Finland while also taking into account real travel times from door to door. Our results showed that replacing short-haul flights could significantly reduce a country's climate impact. Furthermore, we found that existing land-based transportation modes can keep up with the travel times of aircrafts on routes up to 400 km. • Domestic flights are the least efficient but the easiest replaceable by other modes. • Substituting all domestic flights in Finland with land-based modes was studied. • Carbon dioxide emissions and door to door travel time were taken into account. • Replacing domestic flights could reduce a country's climate impact significantly. • Train, car and coach can keep up with air travel times on routes up to 400 km. [ABSTRACT FROM AUTHOR]

The main goal of this study was to demonstrate relevance of an integrated approach including psychosocial determinants of voluntary travel behavior change (VTBC). The study, conducted in France, aimed to influence car users to use public transport. Compared to previous VTBC programs, this one proposes a more qualitative accompanying framework to participants. Car users participated in the program based on a committing recruitment, an individualized counseling meeting, and a free monthly travel card on public transport, altogether creating a strong commitment context for long-term behavior change. Results reveal the effectiveness of the method since a majority of test travelers continue to use public transport up to three months. Moreover, the program increases the positive attitude toward the bus and "mobility capital" of participants. [ABSTRACT FROM AUTHOR]