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This paper disentangles the impact of critical water levels on container cargo transported along the Rhine River. It analyzes monthly throughput and all instances where navigability was constrained due to low or high water levels between 2000 and 2022, employing a time series econometric model. The study considers water level conditions at critical locations between economic centers while controlling for confounding effects. Our findings reveal an average monthly impact of -0.2% per day of disruption and -5.9% when the disruption remained for more than 24 days. Notably, vulnerability to critical conditions has doubled since 2018 and exhibits spatial variation. The most pronounced disturbances and their lagged effects are associated with localized low water level incidents. We show that enhancing the resilience of inland waterways to climate change is essential to avert potential losses in container throughput, estimated to range between 7% and 20% annual average by 2050. [ABSTRACT FROM AUTHOR]

The development of dry ports has reshaped the international freight shipping market, introducing both competition pressure (i.e., the common hinterland) and cooperation opportunities (sea-rail intermodal) for seaports. This is more evident in China with the development of the China Railway Express. Unlike dry ports, seaports are more vulnerable to climate change-related disasters, calling for investment in adaptation measures. This paper examines how co-opetition with the dry port affects seaport adaptation investment using a two-stage game-theoretical economic model. Results indicate that cooperation leads to more seaport adaptation investment, while competition results in reduced investment. When compared to the social optimal level of adaptation investment, the seaport tends to under-invest (over-invest) when the cooperation (competition) market size is larger. We also analyze how government subsidies in the seaport's adaptation help achieve optimal social adaptation and how the Knightian uncertainty of the disaster occurrence affects seaport adaptation investments. The relevant policy implications are also discussed. [ABSTRACT FROM AUTHOR]

Climate change impacts such as extreme temperatures, snow and ice, flooding, and sea level rise posed significant threats to railway infrastructure networks. One of the important questions that infrastructure managers need to answer is, "How will maintenance costs be affected due to climate change in different climate change scenarios?" This paper proposes an approach to estimate the implication of climate change on the life cycle cost (LCC) of railways infrastructure assets. The proportional hazard model is employed to capture the dynamic effects of climate change on reliability parameters and LCC of railway assets. A use-case from a railway in North Sweden is analyzed to validate the proposed process using data collected over 18 years. The results have shown that precipitation, temperature, and humidity are significant weather factors in selected use-case. Furthermore, our analyses show that LCC under future climate scenarios will be about 11 % higher than LCC without climate impacts. [ABSTRACT FROM AUTHOR]

• Framework for optimising sustainability, resilience, and cost (SRC) metrics is described and applied. • Traditional and low-carbon restoration strategies are compared on a bridge. • Fragility and restoration models are employed toward actionable SRC metrics. • Practical starting point for evaluating climate projections in adaptation strategies. Climate change exacerbates natural hazards and continuously challenges the performance of critical infrastructure. Thus, climate resilience and sustainable adaptation of infrastructure are of paramount importance. This paper puts forward a novel framework and metrics for optimising sustainability (Greenhouse Gas emissions - GHG), climate resilience (restoration time), and cost. The framework aims to facilitate decision-making by operators and stakeholders and communicate actionable trade-offs between these principles. It describes approaches for quantifying ex-ante adaptation and ex-post recovery from the lenses of sustainability and resilience using relevant metrics. This paper concludes with an application of the framework on a bridge, where normalised metrics are integrated into one unique index (I SRC), which can be used in the recovery prioritisation for portfolios of similar assets. The optimisation program includes a bridge recovery, while reducing GHG emissions. The impact of climate change on the sustainability and resilience indexes is examined and the results show how the optimum solutions are adversely affected by different climate projections. In all scenarios examined, more sustainable solutions leading to reduced GHG emissions (tCO2e) are the optimum solutions when weighing resilience and cost. Based on the case study analysed in this paper, the low carbon restoration strategy resulted in up to 50% higher I SRC , which can justify investments for low GHG adaptation strategies in transport assets. [ABSTRACT FROM AUTHOR]

In view of the climate emergency, it is necessary to model and forecast road transport emissions for implementing more effective climate policy. This paper fills an important research gap by quantifying the challenges, barriers and remedies of achieving road transport emission reduction and air quality improvement in developing countries. It contributes to the debate on top-down and bottom-up approaches to reconcile carbon and other transport related emissions. China and India are chosen as case studies. Using various official statistics and proxy variables, we estimate and compare the road transport carbon emissions of the two countries systematically from 2009 to 2020. Insights from detailed mode-specific estimations of the bottom-up approach are valuable for targeted policies and measures. An analysis of the major components of road transport carbon emissions points to strategies of promoting electric vehicles, reducing transport demand, accelerating modal shift to low-carbon modes, and cleaner electricity to achieve climate policy. [ABSTRACT FROM AUTHOR]

Simulation is a valuable prediction tool to evaluate the impact of climate change interventions prior to disruptive implementations that may yield unintended and unwanted consequences. Advances in agent-based simulation allow us to estimate the dynamic emissions produced by vehicles at a fine resolution, with each vehicle modelled individually. The scalability of these models allow decision-makers to evaluate large-scale scenarios. But how good are these models? In this paper, the authors apply a state-of-the-art emissions model in the Multi Agent Transport Simulation (MATSim) framework to simulate individual vehicle emissions. Simulation results are compared with real driving emissions tests, using a portable emissions measurement device on a light and heavy vehicle. Quantifying the gap between macro-level simulation and actual emissions, the paper contributes by showing that pollutants are significantly underestimated, especially for heavy vehicles. This confirms prior micro-scale studies and magnifies the detrimental impact of using uncorrected aggregated models to inform environmental policy affecting transport. • Quantifying the gap in emission estimates on large-scale traffic simulations. • City-scale activity-based transport model coupled with vehicle-specific emissions. • Variation in real driving emissions is much larger than in randomised simulations. • Macro-level models underestimate heavy vehicle emissions more than light vehicles. [ABSTRACT FROM AUTHOR]

• A framework for bridge scour risk management in an uncertain climate future. • A systematic approach to estimating scour risk ratings in different climate scenarios. • Local scour progression is fastest during the initial 48 h of a peak flow event. • Accelerated scour risk progression even in low emission climate scenario (RCP2.6). Riverine bridges are under a substantial threat of scour due to the magnitude and frequency of floods arising due to climate change. Infrequent inspections, inadequate data on foundation depths, and the lack of consideration of hydrologic and climate parameters often result in uncertainties within current scour risk assessments. This paper presents an approach for assessing the risk progression of local scour in peak flow conditions that consider uncertainties associated with location, downscaling of climate predictions, and hydrologic, hydraulic and scour prediction models. A rational scour risk rating based on warning time to failure is introduced that can provide a useful addition to the existing bridge condition indexes. The case study on a set of railway bridges in Southeast England shows that climate change could accelerate the scour risk progression, even in the low-emission scenario. The approach and results form a vital basis for scour risk mitigation and climate adaptation planning. [ABSTRACT FROM AUTHOR]

• Sufficiency is an essential pillar of sustainability. • Individual mobility budgets carbon reduction goals more comprehensible. • The perceived fairness is crucial for the distribution individual mobility budgets. • Individual mobility budgets can serve as an indicator for transport justice. Transport justice has two essential dimensions: (1) compensating for inequalities in access to mobility, and (2) mitigating the disproportionately burdensome negative consequences of transport. In light of the urgently needed action regarding climate change especially in the transport sector, measures reducing carbon emissions to mitigate the impact are inevitable. However, policy measures for reaching climate targets should avoid increasing unequal mobility chances. Therefore, there is a need for concepts striving to mitigate both climate impacts and transport injustice. The paper addresses the potential of introducing individual mobility budgets to achieve transport-related climate goals while reducing inequalities in mobility. The concept proposed in this contribution is based on a combination of qualitative and quantitative impact assessment methods including a stakeholder involvement process and transport modelling based on different data sources. The results provide policy recommendations as well as further research requirements, which are already partly addressed iin follow-up projects. [ABSTRACT FROM AUTHOR]

• An analytical framework is applied to identify barriers to adaptation. • A case study of the transport sector of Bogotá, Colombia is presented. • The analysis identified information, resources and incentives barriers. • The institutional environment is the most influential underlying factor. • There is potential for this study to be replicated in other parts of the world. The adaptation of transport systems to climate change is crucial for maintaining city functions in the future. Due to the complexity of this process, urban transport planners may not always be aware of all challenges they must face, leading to maladaptation or lack of adaptation of the transport systems of their cities. Recognising this complexity, this paper identifies barriers and opportunities for effective adaptation planning via a socio-technical perspective. An existing analytical framework, previously used in some cities of Latin America and Germany, is adopted and applied to a case study of Bogotá, Colombia. Interviews conducted with local professionals and a review of policy documents and technical reports provided insight into city governance processes and the extent to which climate change adaptation shapes transport sector decisions. The study reveals that incomplete or unusable information about climate change and its effects, reduced availability of economic and human resources, and the lack of adequate incentives are limiting adaptation within the transport planning processes of the city. It also demonstrates the critical influence of the institutional structure in determining which infrastructure options are considered feasible and preferable. The study elucidates what levers are available to transport planners and why some solutions are just not considered. There is potential for this study to be replicated in other parts of the world to help support the development of effective systemic intervention to support adaptation. [ABSTRACT FROM AUTHOR]

• Development of a thereotic acceptance model for climate adaptation measures. • Study empirically analyzes the acceptance phases for climate adaptation measures. • Different acceptance phases require different support measures. • Practical starting points for establishing climate adaptation measures. Transport operations are climate sensitive. Despite this, scientific literature and corporate practice present little evidence on how corporate actors use climate adaptation measures to prepare their transport operations for climate change. This paper explores two research questions: How can the acceptance among corporate decision-makers towards climate adaptation measures for their transport operations be explained? Based on the Theory of Planned Behavior and the Diffusion of Innovations we develop a theoretical framework for dealing with climate adaptation measures for transport operations (step 1). We support the use of this framework through a literature review (1989–2020) (step 2) and semi-structured interviews with German companies that have implemented best practice measures (step 3). The results show that the handling of climate adaptation measures for transport operations can be described in three acceptance phases: acceptance of attitude, action, and use. We conclude that these phases determine the approaches required for promoting climate change adaptation. [ABSTRACT FROM AUTHOR]

Transportation Research Part D , launched in 1996, has succeeded in its mission of becoming a key outlet for interdisciplinary and policy-relevant research on transport and the environment. Using a bibliographic analysis of 2,521 papers published in this journal from 1996 to 2020, we identify key topics, top contributors, the most productive universities, and the leading research trends within the field. Emissions and air quality, climate change, energy, electric vehicles, noise and the built environment (land use and travel behavior) are dominant topics since the journal's founding. The journal has had an impact on policy, especially regarding land use and travel behavior. Citation levels seem to mirror these impacts. Electric vehicle policy and environmental impacts of shipping and ports are recent topical areas with large citation counts. All these issues will continue to resonate providing rich opportunities for innovative manuscripts that analyze problems and provide solutions. [ABSTRACT FROM AUTHOR]

• Universities need to raise awareness of the effect of mobility on climate change. • The travel behaviour and CO 2 emissions of university commuters are analyzed. • A methodology to estimate CO 2 emissions factors by transport mode in Madrid. • Policies are recommended to reduce the impact on climate change from transport to the UPM. Cities are at the core of global climate change mitigation and strategic low-carbon development. Within cities, universities are ideal places to raise awareness of environmentally friendly lifestyles. This paper focuses on understanding per-trip commuting CO 2 emissions in the Technical University of Madrid. A simple mobility survey was conducted collecting 2149 responses. The study includes a methodology to estimate CO 2 emission factors by transport mode in Madrid. The results show that public transport is the main mode used, with over 75% of trips. However, users of private modes produce more than 55% of the total CO 2 emissions from commuting. After an analysis of UPM commuters' travel behaviour and their climate change impacts, a set of reduction policies -such as campaigns to promote shared mobility, economic incentives in public transport, and integrated parking management policies among others are proposed to redefine policies after the pandemic crisis. [ABSTRACT FROM AUTHOR]