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The last-mile delivery challenges and complexity are increasing simultaneously with the e-commerce growth, the e-commerce growth constitutes a threat to urban transport, especially for big cities and developing countries. This paper examines the economic impact of crowd-shipping based on public transport collaborated with the automated parcel locker and the impact of traditional delivery, as two different methods of last-mile delivery under the same circumstances. This paper aims to assess crowd-shipping as an alternative solution for last-mile delivery compared to traditional delivery. Data has been simulated based on Cairo reality, one of the largest cities in the world. The mathematical models were formulated for the problem, where the first model objective function minimizes the costs of vehicle possession and vehicle kilometers traveled, while the second model objective function minimizes the costs of establishing lockers, vehicle possession, and vehicle kilometers traveled. A genetic algorithm has been used due to the complexity of the problem. The results show that the economic impact of the crowd-shipping delivery system is better than the traditional delivery system under the conditions of large-sized and medium-sized demand, while the economic impact of traditional delivery is better than the crowd-shipping delivery system under the conditions of small-sized demand. [ABSTRACT FROM AUTHOR]

Background: Urban freight transport has recently garnered significant attention from both professionals and academics due to its pivotal role in fostering economic and social development. Despite notable progress, this sector faces challenges that hinder its long-term sustainability. Addressing these issues and ensuring the lasting sustainability of urban freight transport require a thorough assessment and monitoring process utilizing specific indicators. Methods: This paper introduces a set of indicators developed using a three-step methodology aimed at assessing the sustainability progress of urban freight transport. Initially, we present a long list of indicators drawn from the existing literature. Subsequently, we consider five essential properties: achievability, data availability, predictability, relevance, and comprehensibility. Lastly, we apply a multi-criteria analysis methodology that utilizes these properties to assess the long lists encountered during the selection process. The chosen indicators are those that do not register a value of "0" for any of the specified properties. To enhance reliability, the indicators are collaboratively identified by a minimum of two experts. Results: By carefully selecting 18 indicators based on five sustainability dimensions (economic, environmental, social/societal, political, and spatial), our approach ensures a robust evaluation framework. Conclusions: These indicators serve as valuable tools for stakeholders in comprehensively evaluating the sustainability aspects of urban freight transport. [ABSTRACT FROM AUTHOR]

Freight transport significantly contributes to urban traffic but is often overlooked by decision-makers compared to passenger transport. Conventional transportation modelling studies often use aggregate approaches for freight transport, undoubtedly due to the difficulty of data collection. However, the nature of freight transportation is much more complex. For this reason, examining the determinants of freight vehicle preferences with discrete approaches is crucial for the contributions that can be put forward, especially in local studies. To address this apparent gap in the study of local disaggregated approaches to freight transport, we present a discrete modelling-based methodology to investigate the factors that determine freight vehicle preferences for shippers and senders. The estimated nested logit model is constructed with the RU2 approach, the second part of random utility theory, thus avoiding the theoretical inconsistencies that arise when generic coefficients are used. As a result, the model structures provided satisfactory results compared to the literature. It was revealed that the factors affecting freight vehicle choice preferences were influenced by packaging preferences and differed according to freight groups. This local study is the first nested logit study for freight modelling in Istanbul and it is aimed to shed light on future national studies.

The implementation of construction projects largely determines the development of modern cities. However, such projects impact both urban freight transport and residents. To reduce this impact, increasingly more attention has been paid to the issues of sustainable development. Sustainable urban freight transport has become a priority for European cities. It also contributes to construction supplies. This article presents the results of analyzing construction supplies and the assessment of their compliance with the principles of sustainable development using the example of the city of Szczecin. This allows for the diagnosis of problems in this area, and solutions in the field of sustainable construction are collected. The presented research includes unstructured observation of construction projects in progress, structured interviews with entities implementing construction projects in Szczecin, and additional expert research to identify solutions in the field of sustainable construction supply in cities. This enables the research objective to be achieved and conclusions to be developed. [ABSTRACT FROM AUTHOR]

Light commercial vehicles that operate in last-mile deliveries are significant contributors to greenhouse gas emissions. For this reason, carbon footprint mitigation actions have become a key issue for companies involved in urban freight transport to put the organization in line with the future EU legislative framework. In this sense, the electrification of the delivery fleets is one of the actions carried out to improve the sustainability of transport operations. To this end, fleet managers have to explore several fleet renewal strategies over a finite planning horizon, evaluating different types of electric powertrains for light commercial vehicles. To address this concern, this paper presents a purpose-built analysis to assist and boost the fleet managers' decisions when transitioning to electrified vans, intending to maximize cost savings and reduce corporate greenhouse gas emissions inventory. The model developed for this research work is a Multi-Objective Linear Programming analysis for the optimization of the total cost of ownership and the organizational transport-related emissions reported from all scope categories according to the Greenhouse Gas Protocol standards. This analysis is applied to three types of electric vans (battery electric, hydrogen fuel cell, and range extender hybrid electric/hydrogen fuel cell), and they are compared with an internal combustion van propelled with natural gas. From this perspective, the conducted research offers a novel approximation to fleet replacement problems considering organization emission reporting and long-term budgetary objectives for vehicles and their respective refueling infrastructure. The comprehensive numerical simulations carried out over different study scenarios in Spain demonstrate that the optimization approach not only shows effective fleet renewal strategies but also identifies critical factors that impact the fleet's competitiveness, offering valuable insights for fleet managers and policymakers. The findings indicate that in Spain, battery electric and hydrogen range extender light commercial vehicles stand as a competitive option. Substituting a natural gas-powered van with an electrified alternative can reduce an organization's inventory emissions by up to 77% and total costs by up to 24%. Additionally, this study also points out the influence of energy supply pathways and the emissions from relevant scope 3 categories. [ABSTRACT FROM AUTHOR]

Urban public space is often provided for freight delivery operations in the form of on-street (un)loading zones (LZ). Since public space is scarce and demanded by several users, city authorities have the challenge of managing LZ by gaining knowledge about freight curbside needs and utilization. Although technological solutions and enforcement practices have become popular among policymakers to capture curbside dynamics, there is still an open and promising research field for designing analytical frameworks that shape LZ decision-making processes. This fact has motivated the authors to define the concept of Smart Loading Zones (SLZ) as the involvement of technology and data analytics in the planning and management of LZ in a responsive and user-oriented way. Besides proposing a conceptual approach for the study of SLZ, this paper implements data analytics tools for enhancing decisions on LZ network design, using the City of Vic (Spain) as a case study. The machine learning techniques k-means++, DBSCAN, and integer linear programming prescribed the LZ number, location and service assignment based on establishments' coordinates, walking distances and freight demand. Results from the case study showed how an optimized number, location, and size of LZ improved occupation levels, i.e., from 18 % to 80 %, while freeing up curbside space for other users. Service coverage was also improved by allocating LZ to establishments within walking distances no greater than 75 m. Further development of methods and tools for SLZ at tactical and operational decisions are recommended for future studies.

Urban transport system planning has been moving towards sustainability in recent years, and the concept of urban freight logistics is an integral part of this planning. Urban freight logistics involves many stakeholders that participate in its operation and should be considered in the system planning process. The paper presents one of the approaches to the methodology for the selection of key indicators suitable for the evaluation and monitoring of a sustainable system of urban freight logistics in such a way that it reflects as much as possible the needs of all involved stakeholders. This is done by applying the selected method of multi-criteria analysis with the involvement of various urban freight logistics stakeholders. Based on the proposed methodology, the paper defines significant indicators that can be considered for further evaluation of the level of a sustainable urban freight logistics system. In addition to the possibilities of further development of this methodology, the application of determined significant indicators for calculating the proposed index of sustainable urban freight logistics is discussed. The proposed procedure can be implemented in the preparatory steps in the framework of the creation of sustainable urban logistics plans (SULPs).

The number of people living in cities worldwide is rising and hence also the number of goods that have to be transported in cities. Accordingly cities seek to employ sustainability initiatives to mitigate the negative effects of (freight) transportation such as traffic jams, emissions and noise. This paper collects different sustainability initiatives implemented in Europe in the last ten years. It analyzes the projects, provides a classification and derives lessons learned. That way recommendations to city planners can be formulated.

This article aims to analyze the opportunities related to improvement in the decarbonization strategies of the logistics sector, considering the economic, environmental, social, and technological challenges in four Latin American countries: Argentina, Brazil, Peru, and Uruguay. An original survey of 464 logistics companies involved in e-commerce in these four countries was carried out. From an economic point of view, companies have started to understand that being greener is not just a slogan but can be an opportunity for growth. The social pressure of customers for more sustainable supply chains forces companies to look for alternatives to reduce their environmental footprint. Finally, adding technology makes it possible to measure and monitor parameter indicators and look for alternatives to improve them (such as routing algorithms, electric vehicles, smart lockers, etc.). Decarbonization in the e-commerce logistics sector in Latin American countries still has room for improvement (for example, using metrics and electric vehicles) to match the levels of companies with similar characteristics in European, Asian, or North American countries. [ABSTRACT FROM AUTHOR]

Knowledge about the perception of stakeholders regarding the effectiveness of last-mile bicycle deliveries is essential to promote solutions at a local and national level. However, their use is an incipient solution in the Brazilian context. This paper aims to analyse the potential of performing last-mile bicycle deliveries according to the perspective of Brazilian logistics operators. First, the variables that affect the decision of logistic operators to adopt bicycles were captured using the theory of planned behaviour. Later, the intention of behaviour was measured by estimating an ordered logistic regression. The results showed that environmental awareness, public policies and weather conditions negatively influence the intention of logistics operators to perform last-mile bicycle deliveries in Brazil. However, these variables are more cultural than operational, and could be changed by awareness of the importance of performing last-mile bicycle deliveries to promote sustainable cities. Additionally, the findings could encourage the development of sustainable freight policies from private companies to achieve sustainable future transportation.

Since the 1990s, studies and pilot tests have been conducted to reduce traffic, accidents, and pollution due to urban freight transport (UFT). These ended up in several policies, regulations, and restrictions for UFT, such as low emission zones, delivery time windows, and vehicle size and weight restrictions. However, issues in UFT under regulatory measures still persist. This study introduces an optimization framework for deriving an optimal combination of various types of vehicles with different capacities for vehicle replacement with UFT. This framework allows an understanding of how an urban freight company with a limited budget efficiently satisfies its freight demand within an urban area in the presence of regulatory measures by urban administrators. The introduced formulation, which is mixed-integer linear programming, will assist the operator in choosing the best investment strategy for introducing new vehicles of certain types and sizes, for operation in different zones, into its fleet while gaining economic benefits and having a positive impact on the liveability of the urban area. Furthermore, an elasticity analysis is performed to consider the effects of specific uncertain parameters on the total cost. The numerical results show that the share of electric vehicles in the fleet increases, and they are more competitive than diesel vehicles. [ABSTRACT FROM AUTHOR]

Recently, many European local authorities have set up Urban Consolidation Centres (UCC) for dealing with challenges arising from the environmental and social impacts of logistical activities in urban contexts through shipment synchronisation and carrier coordination policies. However, the number of successful UCC projects led by local authorities in Europe is low, with most of the UCCs failing to achieve financial sustainability after the initial experimental phase, which is often heavily supported by public funds. In order to propose mechanisms that could favour the economic and financial sustainability of UCC systems, this research develops an adaptation of game-theoretic approaches to the problems of responsibility and cost allocation among stakeholders participating in a UCC delivery network. A solution based on the Shapley Value concept is employed to derive cost allocations; applications of the model to a real-world scenario are evaluated. An extensive sensitivity analysis shows that the proposed cost allocation rules can provide alternative arrangements, based on extended responsibility concepts, which can alleviate the burden on local authorities for the set up of UCCs. As such, results provide useful policy and practice implications on how to safeguard UCCs' viability under different scenarios, including the outsourcing of the last-mile deliveries. [ABSTRACT FROM AUTHOR]

Knowledge about the perception of stakeholders regarding the effectiveness of last-mile bicycle deliveries is essential to promote solutions at a local and national level. However, their use is an incipient solution in the Brazilian context. This paper aims to analyse the potential of performing last-mile bicycle deliveries according to the perspective of Brazilian logistics operators. First, the variables that affect the decision of logistic operators to adopt bicycles were captured using the theory of planned behaviour. Later, the intention of behaviour was measured by estimating an ordered logistic regression. The results showed that environmental awareness, public policies and weather conditions negatively influence the intention of logistics operators to perform last-mile bicycle deliveries in Brazil. However, these variables are more cultural than operational, and could be changed by awareness of the importance of performing last-mile bicycle deliveries to promote sustainable cities. Additionally, the findings could encourage the development of sustainable freight policies from private companies to achieve sustainable future transportation. [ABSTRACT FROM AUTHOR]

Many negative externalities are associated with home deliveries, the main ecommerce delivery destination. Despite many solutions that address this problem, the lack of understanding of the spatial pattern of urban deliveries makes it challenging to implement these strategies. This paper analyzed the spatial relationship between sociodemographic, retail and e-commerce deliveries in Belo Horizonte (Brazil) by using official data at the neighborhood level (number of retail shops, gender, income, age, race, and household size), and e-commerce deliveries performed by a transportation company. Global Moran's I indicated the spatial dependence of the e-commerce deliveries. Results of a geographically weighted regression model showed a positive spatial effect of retail, women, Asian population, age from 20 to 29 years old, and income. In addition, a negative spatial effect was identified for the size of the household, 18 to 19 years old, and the black population. Furthermore, the estimated coefficients show small spatial variability, indicating homogeneity in the spatial relation. The uniformity of the parameters indicates that alternative strategies can be implemented throughout the territory to reduce e-commerce deliveries.

Background: Urban freight transport has recently garnered significant attention from both professionals and academics due to its pivotal role in fostering economic and social development. Despite notable progress, this sector faces challenges that hinder its long-term sustainability. Addressing these issues and ensuring the lasting sustainability of urban freight transport require a thorough assessment and monitoring process utilizing specific indicators. Methods: This paper introduces a set of indicators developed using a three-step methodology aimed at assessing the sustainability progress of urban freight transport. Initially, we present a long list of indicators drawn from the existing literature. Subsequently, we consider five essential properties: achievability, data availability, predictability, relevance, and comprehensibility. Lastly, we apply a multi-criteria analysis methodology that utilizes these properties to assess the long lists encountered during the selection process. The chosen indicators are those that do not register a value of “0” for any of the specified properties. To enhance reliability, the indicators are collaboratively identified by a minimum of two experts. Results: By carefully selecting 18 indicators based on five sustainability dimensions (economic, environmental, social/societal, political, and spatial), our approach ensures a robust evaluation framework. Conclusions: These indicators serve as valuable tools for stakeholders in comprehensively evaluating the sustainability aspects of urban freight transport.

The surge in online shopping has contributed in no small part to the return of warehouses in cities. Urban warehouses allow retail and delivery companies to serve consumer populations faster. They are also a necessary condition for the transition to an urban logistics system that is efficient and sustainable. However, integrating urban warehouses into dense, mixed-use urban areas presents considerable challenges, particularly in coexistence with surrounding communities. This study explores how urban warehouses can become good neighbors, through a case study of New York City. The city has a high e-commerce demand and high population density. In addition, zoning regulation and administration in particular have enabled the development of several warehouses in recent years. The study introduces seven types of practices that can promote the proper integration of warehouses in cities. Scaled from the system (i.e., the city) to the site (i.e., the warehouse), best practices include the following: zoning for innovation as well as nuisance monitoring and mitigation, environmental policy for movement and place, supply chain awareness for citizens/consumers, blocks and buffers for neighborhood design, community conversation, sustainable transportation transition for goods as well as people, and context-sensitive building design.

Canals and canalized rivers form a major part of surface water systems in European delta cities and societal ambitions to use these waters increase. This is the first assessment of how suitability of these waters can improve for three important uses: transportation, thermal energy extraction (TEE) and recreation. We assess suitability with Suitability Indices (SIs) and identify which alterations in the water system are needed to improve SI scores in Amsterdam, The Netherlands, and Ghent, Belgium. The results show spatial variability in suitability scores. Current suitability for transportation is low (SI score = 1) to excellent (SI score = 4), for TEE fair (SI score = 2) to excellent (SI score = 4), and suitability for recreation is low (SI score = 1). Suitability could improve by enlarging specific waterway dimensions, increasing discharge and clarity, and by enhancing microbiological water quality. The same methodology can be applied to optimize designs for new water bodies and for more water uses. [ABSTRACT FROM AUTHOR]

Abstract The option of decarbonizing urban freight transport using battery electric vehicle (BEV) seems promising. However, there is currently a strong debate whether fuel cell electric vehicle (FCEV) might be the better solution. The question arises as to how a fleet of FCEV influences the operating cost, the greenhouse gas (GHG) emissions and primary energy demand in comparison to BEVs and to Internal Combustion Engine Vehicle (ICEV). To investigate this, we simulate the urban food retailing as a representative share of urban freight transport using a multi-agent transport simulation software. Synthetic routes as well as fleet size and composition are determined by solving a vehicle routing problem. We compute the operating costs using a total cost of ownership analysis and the use phase emissions as well as primary energy demand using the well to wheel approach. While a change to BEV results in 17–23% higher costs compared to ICEV, using FCEVs leads to 22–57% higher costs. Assuming today’s electricity mix, we show a GHG emission reduction of 25% compared to the ICEV base case when using BEV. Current hydrogen production leads to a GHG reduction of 33% when using FCEV which however cannot be scaled to larger fleets. Using current electricity in electrolysis will increase GHG emission by 60% compared to the base case. Assuming 100% renewable electricity for charging and hydrogen production, the reduction from FCEVs rises to 73% and from BEV to 92%. The primary energy requirement for BEV is in all cases lower and for higher compared to the base case. We conclude that while FCEV have a slightly higher GHG savings potential with current hydrogen, BEV are the favored technology for urban freight transport from an economic and ecological point of view, considering the increasing shares of renewable energies in the grid mix.

Increasing congestion, environmental pollution, and the resulting full impatience of inhabitants contribute to the search for new solutions to move around the city. Therefore, city dwellers are increasingly turning to alternative means of transport such as bicycles, scooters, monocycles, etc. Recently, this way of traveling around the city has been flourishing. Therefore, the authors decided to investigate the phenomenon of the popularization of alternative forms of urban transport and to determine the influence of this kind of travel on freight transport and sustainable urban development. The research was based on four Polish cities: Wroclaw, Katowice, Opole, and Kedzierzyn-Kozle. The selection was made more precise by indicating two large and two small urban centers. The research was carried out by means of a questionnaire survey addressed to the inhabitants of those centers, specifying their preferences regarding journeys in the cities, as well as through direct interviews with companies providing cargo transport in the cities. The final part of the study is to propose solutions that, based on the residents' preferences, will reduce their travel by car in favor of alternative transport, thus enhancing freight transport. [ABSTRACT FROM AUTHOR]

Integrating freight and public transport infrastructure can lead to providing economic feasibility to public transportation systems and reducing externalities related to urban freight transport. This can be achieved by sharing the infrastructure of freight and public transportation systems. Additionally, failed deliveries represent a major challenge in e-commerce. Lockers can address this problem and promote sustainable urban freight transport. This paper identified a locker network in a public transportation infrastructure. The framework considered scenarios built under the 15-min city concept, and the analysis is based on a case study in Jaraguá do Sul (Brazil, a mid-sized Brazilian city, and its conurbated area. The networks were found by solving a p-median problem, which minimised the maximum distance between the lockers and the population. The findings showed that, in the best scenario with 16 lockers, the population could reach the lockers within a 10-min cycling ride. Additionally, the results showed that the public transportation network provides a locker network to integrate freight and public transportation. The locker network is accessible to public transportation and micromobility users. With this solution, residents play an active role in last-mile deliveries. In addition, lockers can work as mini hubs for crowdshipping services. In addition to reducing urban delivery trips, this solution can encourage public transportation usage, which contributes to more sustainable cities. [ABSTRACT FROM AUTHOR]

Freight trip generation modelling is important for forecasting freight movements, and understanding freight movements is crucial to enabling sustainable freight transportation planning. The existing literature focuses on model development, and most of the previous models are estimated by ordinary least squares regression. However, few studies have carefully considered the OLS assumptions. The objective of this paper is to estimate freight trip generation models using deliveries to commercial establishments in Brazilian municipalities. A procedure is described to estimate models by ordinary least squares (OLS), and alternative techniques are considered to address the violations of the OLS assumptions. The analysis was conducted with data from 860 commercial establishments in nine Brazilian municipalities, and models were estimated for capital, non-capital, small, medium, and larger municipalities. The findings showed that alternative techniques to OLS regression can provide better-estimated parameters and more accurate results. Not evaluating the OLS assumptions could compromise the quality of the model and, consequently, planning using these models. Moreover, the results showed that the number of employees has a more significant influence in small cities and a lower influence in medium-sized municipalities. Finally, the findings demonstrated the importance of local models that include the municipalities' characteristics and that can support freight transportation planning. These models can also include sustainable strategies for freight transport. [ABSTRACT FROM AUTHOR]

The urban freight sector provides an essential service by delivering goods that are required by shops, companies, and households at a specific place and time. However, the growth of e-commerce and the dawn of on-demand logistics (hereinafter ODL) have raised citizens' expectations of logistics systems, further stressing them and thereby increasing their operational and environmental costs. To the authors' best knowledge, there are no extensive literature reviews specifically on the topic of ODL and on suggestions for policy prioritisation for tackling its effects. This paper aims at addressing this issue by providing an extensive literature review of ODL and its enablers. This research, after a thorough explanation of the ODL rationale, its trends, and its effects, analyses possible solutions to its inefficiencies, focusing on enablers and barriers. Furthermore, it illustrates and clarifies the role of external factors in influencing ODL. Finally, it proposes a systematic evaluation approach by identifying knowledge gaps and consequently defining the subsequent actions needed, broken down by the individual influencing components, rendering these solutions compatible with the status quo and effective for solving the highlighted issues. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic exposed the fragility of the supply chains, in which the production, distribution, and transportation systems were disrupted, permanently or temporarily. Despite the enormous influences the pandemic had on transportation systems, no study has yet assessed the extent to which the freight restrictions and barriers influenced logistics costs after the start of the COVID-19 outbreak. However, understanding them is necessary to guide and stimulate public policies that intend to optimize the effects of freight restrictions on logistics costs. Thus, this paper assesses and compares the effects that such barriers in urban freight transport, and the restrictions imposed on freight vehicles, had on logistics costs before and during the pandemic. We surveyed more than 120 logistics professionals in Brazil in both 2018 and 2020/2021, making comparisons using models that were assessed using partial least squares structural equation modelling. The findings suggest that barriers and freight restrictions influenced the logistics costs positively, but such influences reduced during the pandemic. Being aware of the barriers and restrictions that influence logistics costs and of how the pandemic increased the effects of some restrictions is essential for managers to be able make timely and appropriate decisions and to plan and implement initiatives to prevent or reduce costs. [ABSTRACT FROM AUTHOR]

This document diagnoses the effects of the Modifiable Areal Unit Problem (MAUP) in the study of the demand for urban freight transport, by means of a comparison of different analysis scales to determine the relevance of working with different levels of detail. It is recommended to analyze the number of retail businesses, because they are the ones that mainly attract urban freight transport, and other variables of a socio-territorial type, considering three different spatial units: basic geostatistical area, electoral section, and regular 500-by-500-meter grids. For each scale, descriptive statistics parameters, correlation between variables, as well as global and local spatial autocorrelation (Moran-LISA's I) were obtained to determine the impact of the MAUP. The results obtained show that the electoral sections do not result in an adequate scale, unless it is used as a complementary scale, since the statistical results indicate a greater variation. However, its cartographic representation allows seeing spatial groupings that are not observed in the other scales, which can be a valuable contribution. In the case of the Basic Geostatistical Area (BGA) scale and the 500-by-500-meter grids, data show less dispersion. The variables analyzed show a greater correlation and present a greater global spatial autocorrelation, which is why it is determined that they may be the most appropriate scales to model the transport of merchandise in the study area. The site that had no discrepancy, regardless of the scale of analysis, was the historic downtown of the city of Toluca, so it can be considered a priority site based on its demand for merchandise and territorial characteristics, where regulation and transport control alternatives can be incorporated, as well as the creation of infrastructure to make deliv-eries more efficient and to mitigate its negative impacts. [ABSTRACT FROM AUTHOR]

Urban Freight Transport (UFT) is responsible for moving goods in urban areas to meet citizens' demands, which makes it essential for economic development. Simultaneously, UFT contributes to adverse impacts on society and the environment, including congestion and pollution. This paper assesses how the urban infrastructure and UFT externalities influence the residents' quality of life. Three major assumptions were considered: (i) Public managers are responsible for the urban infrastructure, which is also influenced by businesses; (ii) UFT leads to negative externalities, which are influenced by government actions; and (iii) both infrastructure and externalities influence the residents' quality of life. The analysis is based on a web-based survey conducted with residents of Brasília, Brazil. Structural Equation Modelling with Partial Least Squares was used to analyze the data. Findings showed that the residents' quality of life is negatively influenced by UFT externalities and positively influenced by the urban infrastructure. Furthermore, both public and private management have more influence on externalities when compared to urban infrastructure. Finally, road capacity, proper loading and unloading, and supervision should be prioritized to improve citizens' quality of life in Brasília. [ABSTRACT FROM AUTHOR]

The option of decarbonizing urban freight transport using battery electric vehicle (BEV) seems promising. However, there is currently a strong debate whether fuel cell electric vehicle (FCEV) might be the better solution. The question arises as to how a fleet of FCEV influences the operating cost, the greenhouse gas (GHG) emissions and primary energy demand in comparison to BEVs and to Internal Combustion Engine Vehicle (ICEV). To investigate this, we simulate the urban food retailing as a representative share of urban freight transport using a multi-agent transport simulation software. Synthetic routes as well as fleet size and composition are determined by solving a vehicle routing problem. We compute the operating costs using a total cost of ownership analysis and the use phase emissions as well as primary energy demand using the well to wheel approach. While a change to BEV results in 17–23% higher costs compared to ICEV, using FCEVs leads to 22–57% higher costs. Assuming today's electricity mix, we show a GHG emission reduction of 25% compared to the ICEV base case when using BEV. Current hydrogen production leads to a GHG reduction of 33% when using FCEV which however cannot be scaled to larger fleets. Using current electricity in electrolysis will increase GHG emission by 60% compared to the base case. Assuming 100% renewable electricity for charging and hydrogen production, the reduction from FCEVs rises to 73% and from BEV to 92%. The primary energy requirement for BEV is in all cases lower and for higher compared to the base case. We conclude that while FCEV have a slightly higher GHG savings potential with current hydrogen, BEV are the favored technology for urban freight transport from an economic and ecological point of view, considering the increasing shares of renewable energies in the grid mix. [ABSTRACT FROM AUTHOR]

Roads and parking areas represent a place of conflict between freight vehicles and other urban activities, especially on mixed residential and commercial streets. This conflict results in traffic congestion, illegal parking, pollution and road safety problems. The challenge is to allocate public space between the right operating activities, parking activities, public transport and so on. To address that, urban logistics delivery bays, also known as loading/unloading (L/U) zones, have become a real solution to facilitate the delivery and pick-up operations of urban freight vehicles, ensure accessibility for delivery drivers, reduce congestion and improve road safety. Therefore, this paper reports on planning and enforcement of urban delivery bays needs. It is part of the urban freight transport (UFT) surveys. This involves consolidating with new contribution the development, implementation and statistical analysis of a survey in order to quantify the need of delivery areas. Compared to the existing literature, this paper presents a mixed applied methodology which is divided into two parts : “Exploratory survey” and “Establishment-vehicle observation” survey. These two surveys techniques were conducted to offer an overview of the freight vehicle delivery and pick-up frequency according to the daytime and weekdays and the operations related to the loading/unloading activities. This makes it possible to estimate the delivery bays requirement in the study area. The findings from a methodological and practical angle are illustrated through a real case study in a commercial street in Morocco. The findings suggest that 60% of deliveries are made between 8:00 A.M and 12 A.M, and the movements generated by each establishment are 257 movements. For this, the study zone requires the development of three loading/unloading (L/U) bays. The main contribution is to propose an approach that urban authorities can use to estimate urban delivery areas efficiently and thus allow simple replication of the proposed framework in other cities.

The different stakeholders involved in urban freight transport, their behaviours, and interactions are attracting the attention of researchers and practitioners in logistics and freight transport, pushed by the need to develop methods and models for assessing ex ante actions/measures to improve the logistics process performance. Besides, the large amounts of data currently available open up new opportunities, as well as the possibility of using them to review past operations and provide suggestions and guidelines for future decision-making. In this context, to improve city sustainability and liveability, the cooperation and coordination among transport and logistics operators have been some of the measures for optimizing freight operations, with a subsequent reduction in vehicles and traffic impacts. Therefore, opportunities arise to point out the stakeholders' decentralised collaboration and the dynamic information driving urban logistics operations. In this context, this paper presents a microsimulation model framework to support the operational decision-making of an urban supply chain that makes the most of such cooperation and coordination and appropriately responds to the dynamic changes of demand and supply. The model was first tested using data collected in the urban area of Medellin, Colombia and we obtained satisfactory results that show the benefits of implementing such modelling framework to support decision making policies.

The lack of efficiency in the use of the on-street infrastructure dedicated to loading and unloading freight in the city, with their shortage and inefficient placement, generates congestion and delays during urban freight deliveries. An exploratory study is presented on the feasibility of incorporating technology into the management of dedicated loading/unloading areas for urban logistics in downtown Montevideo (Uruguay). After data of the neighborhood was collected, and the main stakeholder interest gathered, the paper analyzes a feasible technological solution to the problem, considering the restrictions posed by the stakeholders for sharing information. Due to the increasing influence of blockchain and its implementation for specific logistic problems, such as product traceability, the introduction of blockchain as part of the solution is considered and discussed in the system architecture

The warehouse location is a critical factor in the efficiency of urban freight transport. However, several factors influence this location. This paper analyses the spatial correlation of characteristics of cities in a metropolitan region and the location of the warehouses through a case study in the Belo Horizonte metropolitan region. The municipalities' socioeconomic and fleet data were analysed using the Local Moran Index and Bivariate Moran Index statistics. The results were presented by clusters using the Local Indicator of Spatial Association. Populational density, land cost, and truck fleet are spatially correlated with the warehouses' location. Furthermore, the characteristics of some municipalities, as Contagem, Ribeirão das Neves, and Ibirité, create high-high clusters, with high spatial correlation in the municipalities of cluster and, also, in the surroundings. Findings suggest the importance of land use, logistics, and real estate sector public policies minimise warehouses' externalities and contribute to economic development.

ABSTRACT: Delivering parcels to collection and delivery points (CDPs) is often seen as a better option compared with home delivery. However, if the demand is inhomogeneous, either the parcel locker utilization or the service level (i.e., the number of parcels that can be delivered) is low. Either situation would reduce the financial viability. This paper compares two options to increase the utilization, namely: (i) modular lockers (i.e., numbers of lockers adjusted periodically depending on demand) and (ii) combining parcel lockers with staffed CDPs. The latter has the advantage of a low investment cost of staffed CDPs and a low cost per parcel of parcel lockers. Secondly, the paper calculates the optimal number of lockers at a staffed CDP, assuming that all parcels are placed in the staffed CDP if the parcel locker is full. This method was applied to data collected by a parcel delivery company in London. The advantage of using real world data over one year is that it includes seasonal and daily changes in the parcel demand. The decision support method accounts for parcels not being picked up by customers on the delivery day, returned deliveries, and the net present value (NPV) of the investment. This paper shows that having enough lockers for 100% of all parcels compared with 80% doubles the number of required parcel lockers because of the inhomogeneity of the demand. In addition, combining fixed lockers with staffed CDPs offers greater financial benefits compared with modular lockers in this case study.

Abstract Cities crave innovative logistics solutions dealing with the requirements of the ‘on demand economy’. The paper estimates the willingness to act as a crowdshipper (supply) and to buy a crowdshipping service (demand) to get goods delivered/picked-up in the last mile B2C e-commerce situation. Specifically, it innovates by considering an environmental-friendly crowdshipping based on the use of the mass transit network of the city where parcels customers/crowdshippers pick-up/drop-off goods in automated parcel lockers located either inside the transit stations or in the surroundings. This issue is very important since “standard” crowdshipping is usually not able to reduce congestion and polluting emissions due to the dedicated trips performed using private motorized vehicles. The paper rests on an extensive stated preference survey. The hypothetical scenarios used to acquire both demand (customers’) and supply (crowdshippers’) preferences make use of the most relevant attributes emerging from a preliminary investigation performed in the study context. The investigation is performed in the city of Rome and the metro is the transit system considered. The results are useful in understanding and quantifying the potential of this freight transport strategy for e-commerce in an urban context and in providing local policy makers with a good knowledge base for its future development.

Cities’ sustainability strategies seem to aim at the reduction of the negative impacts of urban freight transport. In the past decades, many public and private initiatives have struggled to gain broad stakeholder support and thus remain viable. Researchers and practitioners have only recently recognised stakeholder acceptance of urban freight solutions as a challenge. A first step in achieving convergence is to understand stakeholder needs, preferences and viewpoints. This paper proposes and applies an approach to identify the main stakeholder perspectives in the domain of urban freight transport. We use Q-methodology, which originates from social sciences and psychology, to record subjective positions and identify the dominant ones. We explain the approach, operationalise the method for the domain of urban freight transport and apply it to stakeholder groups in the Netherlands. We find four dominant perspectives, reflecting how stakeholders normally take positions in the urban freight dialogue. Important findings concern disparities between industry associations and some of their membership, divergent views about the expected role of public administration, and the observation that the behaviour of shippers and Logistics Service Providers (LSP) appears to be inconsistent with their beliefs. All these factors together can act as a barrier to the implementation of urban freight consolidation concepts. The Q-methodology is valuable for eliciting perspectives in urban freight and is a promising tool to facilitate stakeholder dialogue and, eventually, convergence.

In order to select the optimal transportation route among alternative transportation routes more accurately and objectively, the choice of urban oversize cargo transportation routes was studied by taking the optimization weight–TOPSIS combination method for specific calculations. This model, based on an entropy weight method, cloud model, and TOPSIS method, combines the superiority of the cloud model for reflecting the randomness and discreteness of subjective evaluation with the advantages of the TOPSIS method in dealing with the problem of multi-objective programming. Through selecting and classifying several the main road influencing factors of urban oversize cargo transportation, based on the data of four urban roads, the entropy weight method is used to initially determine the weights of each influencing factor, the cloud model is used to optimize weights, the TOPSIS method is used to compare and evaluate the paths, and the optimal transportation route is selected on this basis. The results showed that the optimization weight–TOPSIS method is scientific and accurate for the multi-objective planning of oversize cargo transportation route selection, and solves the problem of the impact of subjective factors in existing methods and the difficulty of processing multiple influencing factors. The Pearson consistency test results show that the Pearson correlation coefficient between the proposed method and the actual oversize cargo transportation route selection is 0.995, which is higher than the calculation results without using the combination weight. [ABSTRACT FROM AUTHOR]

The objective of this study was to develop a new method for freight movement in urban areas by combining a light rail transit system and a road transport system to distribute and deliver parcels. Utilisation of light rail transportation systems for parcel delivery can help reduce traffic congestion and air pollution in cities. This paper presents a location–allocation model to determine the optimum number and location of light rail stations suitable to establish rail distribution hubs, in a bid to minimise transportation costs. A case study is conducted to assess this approach in the city of Bangkok. The results show that the cost, time, and distance of transportation can be reduced by 10%, 16.67%, and 33.33%, respectively.

This paper presents the results of an environmental assessment of a Nickel-Manganese-Cobalt (NMC) Lithium-ion traction battery for Battery Electric Light-Duty Commercial Vehicles (BEV-LDCV) used for urban and regional freight haulage. A cradle-to-grave Life Cycle Inventory (LCI) of NMC111 is provided, operation and end-of-life stages are included, and insight is also given into a Life Cycle Assessment of different NMC chemistries. The environmental impacts of the manufacturing stages of the NMC111 battery are then compared with those of a Sodium-Nickel-Chloride (ZEBRA) battery. In the second part of the work, two electric-battery LDCVs (powered with NMC111 and ZEBRA batteries, respectively) and a diesel urban LDCV are analysed, considering a wide set of environmental impact categories. The results show that the NMC111 battery has the highest impacts from production in most of the impact categories. Active cathode material, Aluminium, Copper, and energy use for battery production are the main contributors to the environmental impact. However, when vehicle application is investigated, NMC111-BEV shows lower environmental impacts, in all the impact categories, than ZEBRA-BEV. This is mainly due to the greater efficiency of the NMC111 battery during vehicle operation. Finally, when comparing BEVs to a diesel LDCV, the electric powertrains show advantages over the diesel one as far as global warming, abiotic depletion potential-fossil fuels, photochemical oxidation, and ozone layer depletion are concerned. However, the diesel LDCV performs better in almost all the other investigated impact categories. [ABSTRACT FROM AUTHOR]

The lack of efficiency in the use of the on-street infrastructure dedicated to loading and unloading freight in the city, with their shortage and inefficient placement, generates congestion and delays during urban freight deliveries. An exploratory study is presented on the feasibility of incorporating technology into the management of dedicated loading/unloading areas for urban logistics in downtown Montevideo (Uruguay). After data of the neighborhood was collected, and the main stakeholder interest gathered, the paper analyzes a feasible technological solution to the problem, considering the restrictions posed by the stakeholders for sharing information. Due to the increasing influence of blockchain and its implementation for specific logistic problems, such as product traceability, the introduction of blockchain as part of the solution is considered and discussed in the system architecture. [ABSTRACT FROM AUTHOR]

The objective of this study was to develop a new method for freight movement in urban areas by combining a light rail transit system and a road transport system to distribute and deliver parcels. Utilisation of light rail transportation systems for parcel delivery can help reduce traffic congestion and air pollution in cities. This paper presents a location–allocation model to determine the optimum number and location of light rail stations suitable to establish rail distribution hubs, in a bid to minimise transportation costs. A case study is conducted to assess this approach in the city of Bangkok. The results show that the cost, time, and distance of transportation can be reduced by 10%, 16.67%, and 33.33%, respectively. [ABSTRACT FROM AUTHOR]

An efficient urban freight transport (UFT) system is crucial for sustainable city development. However, implementing city logistics measures still seems challenging for municipalities and decision-makers. Moreover, city authorities’ decisions depend on politics and social issues, and the city residents’ opinions seem to be very important in this context. Therefore, the primary objective of this paper was to assess the perception of urban mobility problems and freight solutions from the perspective of city users, considering the point of view of Brazilian and Polish city dwellers. The work was based on a survey realised in Belo Horizonte (Brazil) and Szczecin (Poland). The analysis identified the similarities and differences between the perceptions of different resident groups in both cities. The practical advantage of this research is the establishment of a set of recommendations for city decision-makers in the context of residents’ perceptions and their expectations regarding the implementation of urban freight measures.

European cities are facing enormous challenges in accessibility and livability terms due to several European directives, which are compulsory in the mid/long term, traffic congestion levels are still increasing, and air pollution and noise disturbs citizens’ lives. This work presents the study carried out in a Mediterranean city to define an Environmental Zone with traffic restrictions for vehicles in the historical centre of the city of Cartagena (Spain) by exploring different urban logistics measures to tackle main problems caused by freight deliveries and pickups in the city centre. These solutions aimed to enhance the efficiency of vehicles, and to reduce both traffic congestion the environmental impacts caused by freight delivery in the city in order to improve urban sustainability.

The need for logistics has been one of the biggest issues to be resolved for all settlements in all eras of humanity. Infrastructure problems are likely to occur over time in cities that have grown more than expected. It is accepted all over the world today that the solution of the logistics problem in such settlements is to improve the infrastructure and balance the transportation demand between different modes of transportation and to establish special centers where integrated activities will be carried out. Choosing the location of these logistics centers by decision makers raises a "prioritized" cost problem. A subject became widespread in the last decade in Turkey has been selected. The current situation of the logistic villages has been evaluated and a construction ranking has been obtained. This study constituted a verification for the state-ordered construction sequence. It is believed that simple and understandable construction needs can guide decision makers in the logistics village study area. [ABSTRACT FROM AUTHOR]

Commonly encountered in cold chain logistics, third-party distribution firms are required to deliver temperature-sensitive food products to various retailers with two kinds of time-window constraints: (1) the delivery service must begin within the time windows imposed by the retailers (called node time windows) and (2) each vehicle route is available only in a predefined time interval prescribed by the government (called arc time windows). We study the effects of the retailer time window type (i.e., density of the node time-window constraints) and other cost-related factors on a distribution firm's legitimacy choice (i.e., the firm chooses to either comply with or violate the governmental time-window policy), food quality, and pollutant emissions in the urban environment. We model the problem as an intractable vehicle routing problem with node and arc time windows and develop a genetic algorithm to tackle it. We conduct a case study to generate the managerial insights on dealing with time windows. We find that the governmental time windows will increase the distribution cost. The governmental time windows has a negative effect on pollutant emissions while showing a positive effect on food safety. Given governmental time windows, a higher demand for node time windows will result in more governmental time-window violations or lower vehicle load factor, which depends on the vehicle fixed cost, fuel price, and government penalty. [ABSTRACT FROM AUTHOR]

The importance of electric vehicles (EVs) lies in the fact that they are seen as a key solution to the climate change problem. In the last decade, this topic has received significant interest from the scientific community, contributing to publications in different areas. However, the existing literature is fragmented, and efforts have not been made to categorize and analyze it from a freight logistics perspective. This work aims to fill this gap by presenting a systematic literature review (SLR) of the potential impacts of EVs on sustainable road-freight transport operations, including in urban areas. We reviewed 237 peer-reviewed articles for bibliometric and literature classification analysis, whereby 119 articles were subsequently studied for content analysis and research gaps related to sustainability approaches. The bibliometric analysis showed significant growth in the body of research in the past two years, reflected in the number of journal papers, authors, and references. In the literature and keywords analysis, we identified five main categories and research areas: economic and competitive aspects, city logistics, environmental sustainability, vehicle fleet operations, and infrastructure and technology. In addition, this paper revealed eight key research gaps for future research: multimodal integration, long-haul and heavy-duty truck approaches, emerging economies, business models, social factors, charging infrastructure inclusion, and fleet replacement policies. These findings can enlighten researchers and practitioners toward sustainable research and real-life applications of electromobility in freight logistics. [ABSTRACT FROM AUTHOR]

Inland navigation is hardly ever used to transport cargo in cities. In most urban areas, it is performed almost exclusively via road transport, with the virtual exclusion of rail and inland transport. Research and implementation projects in several European cities have shown that employing inland navigation is a viable alternative for road transport in urban areas. The research involved a case study of transporting the same number of 40-foot containers by inland waterway and road and then comparing the results in terms of transport time, transport costs, and carbon dioxide emissions between two metropolitan areas in Poland. The article shows that River Information Services (RIS) system can contribute to improving freight transport efficiency not only on longer routes, but also in urban and inter-urban conditions. The findings were that inland shipping is much cheaper and more environmentally friendly, but transport takes much longer and is not always possible due to insufficient waterway infrastructure. The paper can be used as a road map to proceed with new approach to planning urban and inter-urban logistics, with the use of inland navigation supported by the RIS system. The study delivers evidence that the main benefits of using RIS for urban logistics are: optimization of the cargo route, improved supervision and control of cargo transport, optimization of inter-branch transport, optimization of the use of fleet, more efficient use of technical infrastructure of waterways, combination of many recipients/senders into one transport, and reduction of administrative barriers.