Transportation Research Part D-transport and Environment最新文献

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Accuracy impact analysis for speed-based dynamic updates of regional road-traffic noise emissions

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104578

Ziqin Lan, Ying Rong, Feng Li

Dynamic updates of regional road traffic noise emissions are essential for generating accurate dynamic noise maps. However, existing research has not thoroughly analyzed the accuracy of key components: road-segment classification and update methods. This study addresses this gap by using high-temporal-resolution traffic speed and noise data. Specifically, we constructed 34 types of classification features from speed sequence data, with each type having 4 forms, to categorize unmonitored road segments into categories of monitored road segments based on the availability of noise-related data. We applied the direct update method and difference-based update method families to periodically update noise emissions. We employed the leave-one-out cross-validation method to verify the accuracy of various combinations of features and update methods, and analyzed their error sources. Based on the findings, we provide recommendations for dynamically updating regional road traffic noise emissions based on speed data, offering valuable insights for policymakers in environmental management.

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引用次数: 0

Changes in mode use after residential relocation: Attitudes and the built environment

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104556

Katja Schimohr , Eva Heinen , Petter Næss , Joachim Scheiner

After changes in the spatial environment induced by residential relocations, mode choice is prone to reconsideration. This study analyzes a panel dataset of 661 movers in Germany who were questioned before and after a move. We aim to determine the relationships between changes in the built environment, in travel attitudes, and in mode choice, accounting for possibly bi-directional relationships. Structural equation models are estimated for four different modes (car, bike, walking, and public transport). We observe that changes in the built environment impact mode choice: After relocating to more urban locations, active mode use increases while car and – unexpectedly – public transport use decrease. Travel attitudes do not directly influence residential location choice, only indirectly via search preferences. There is limited evidence for residential determination as attitudes towards most travel modes remain stable. We only observe changes in walking attitudes in response to changes in the built environment.

引用次数: 0

People with disabilities and transit use: Findings from nationwide data in India

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104558

G.M. Hridya , Agnivesh Pani , Varun Varghese , Gaurav Tripathi , Avinash Unnikrishnan

The travel behaviour of people with disabilities (PWDs) has been observed to differ from that of people without disabilities despite having similar needs and wants. PWDs encounter various obstacles restricting their mobility and ability to participate in activities. In this paper, we use a large nationwide dataset covering 102,977 PWDs to understand transit usage and barriers faced by PWDs while travelling at disaggregate and aggregate levels. The analysis comprises five different models: binary logit and multinomial logit at the disaggregate level, ordinary least square regression, spatial lag model, and spatial error model at the aggregate level. Findings reveal that transit use is significantly low among female PWDs, PWDs who lost work, PWDs who need a caregiver, and regions with a high percentage of workers. It is also observed that the level of marginalised populations in a region consistently shows a negative impact on public transport usage across most disabilities.

引用次数: 0

Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104538

Jinli Liu , Gian Antariksa , Shriyank Somvanshi , Subasish Das

Pedestrian crashes represent a critical traffic safety issue, often resulting in fatal outcomes and raising significant equity concerns. This study analyzed detailed records of pedestrian-involved crashes in California from 2018 to 2021, employing a novel clustering framework enhanced by the SHapley Additive exPlanations approach. The proposed method significantly enhanced interpretability by effectively capturing complex non-linear relationships and interactions among features. The results indicate that impairment status and lighting conditions are pivotal in severe crash outcomes, while broader societal and demographic factors are more substantially associated with less severe cases. Non-injury pedestrian crashes tend to occur in less underserved, more resilient communities, whereas fatal crashes are more common in underserved communities with poor lighting and incomplete pedestrian infrastructure, particularly when pedestrians are under the influence of drugs or alcohol. The findings underscore the necessity for developing comprehensive safety measures that not only address situational risks but also consider broader societal conditions.

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引用次数: 0

Greenhouse gas emissions and road infrastructure in Europe: A machine learning analysis

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2025.104602

Cosimo Magazzino , Alberto Costantiello , Lucio Laureti , Angelo Leogrande , Tulia Gattone

This paper explores the determinants of greenhouse gas (GHG) emissions in Europe, focusing on transportation-related variables. By combining classical econometric models with Machine Learning (ML) techniques, we analyze data spanning from 2013 to 2021. The empirical findings highlight the complex relationship between newer passenger cars and GHG emissions, noting the significant impact of their production and increased usage. Conversely, the adoption of alternative fuel vehicles is found to significantly reduce emissions. This is further supported by ML models, which emphasize the critical role of car density and alternative fuel vehicles in determining emissions. Policy implications suggest the need for targeted interventions, including the promotion of electric and hybrid vehicles, enhancements in transportation infrastructure, and the implementation of economic incentives for clean technologies.

引用次数: 0

Editorial travel demand management intervention for a greener environment

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104576

Ye Tian, Haibo Chen, Wei Liu, Yacan Wang

引用次数: 0

Achieving affordable, clean shipping by integrating ship design and clean fuels

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104579

Nguyen N.D. Cao , Denis Andrianov, Andrea Vecchi, Dominic Davis, Michael John Brear

This work assesses the technical, economic and greenhouse gas (GHG) emission performance of different, low emission shipping options. It shows how the levelized cost of shipping (LCOS) and lifecycle GHG emissions depend not only on the fuels and propulsion systems used, but also on key vessel design parameters. A case study of a conventional, 250 kt deadweight, iron ore carrier is shown to have a similar LCOS as a 350 kt deadweight vessel with a reduced range, lower design speed and green hydrogen gas fuelling, without compromising on the cargo delivered over some period. The resulting ‘green premium’ is much smaller than historical iron ore price fluctuations and towards the lower end of the IMO’s currently discussed carbon price range, with similar results also achievable with other, low emission fuels. This suggests that significant increases in shipping costs may not be inevitable as carbon-based emission policies are implemented.

引用次数: 0

Resilience assessment of an urban rail transit network under natural disasters

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104587

Jinqu Chen , Xiaowei Liu , Xinyue Hu , Bo Du , Yong Yin

Assessment of the resilience of an urban rail transit (URT) network under natural disasters is of practical importance, especially with the intensification of global warming. This study develops a train schedule-based resilience assessment model to assess the resilience of a URT network under natural disasters, addressing a critical gap in existing research that often ignores the influence of the train schedule on resilience assessment. Numerical experiments on the Chengdu Metro network demonstrate that the travel time-based performance indicator can effectively evaluate the network performance, revealing that the train schedule has a significant influence on the network’s resilience. Counties Shuangliu and Wuhou are identified as the most important county-level administrative districts in Chengdu during rainstorms and strong wind events, respectively. Furthermore, this study explores the influence of parameters on the network’s resilience and provides some policy implications based on the results obtained from the sensitivity analysis.

引用次数: 0

Electric truck adoption and charging development: Policy insights from a dynamic model

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104515

Zeinab Raoofi , Morteza Mahmoudi , Anna Pernestål

The adoption of electric heavy trucks holds great potential for decarbonising freight transportation, but the market remains nascent. Electrification of the road freight transportation system is complex, involving many interrelated variables, including vehicles, charging infrastructure, and various stakeholders. Effective policy interventions are crucial for accelerating the transition, and developing dynamic models is helpful for understanding the dynamics involved. This study develops a system dynamics model to explore the long-term adoption of electric trucks and charging infrastructure development, considering technology maturity, awareness, and cost. Using real-world data from Sweden (2017–2060), the model analyses various policy levers. The results show that increasing subsidies for charging stations leads to a considerable rise in electric truck adoption, while investments in vehicle technology maturity are the most cost-efficient when financial resources are constrained. By modelling policy interventions endogenously, the study highlights the dynamic impact of policymaking on accelerating the transition to sustainable road freight transport.

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引用次数: 0

Data-driven analysis of strategic–operational interfaces in freight electrification under deep uncertainty

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104524

Anton Zackrisson , Albin Engholm , Ou Tang

Battery electric trucks (BETs) offer environmental benefits but have been challenged by technical and economic viability compared to internal combustion engine trucks (ICETs). Meanwhile, fleet owner-operators have difficulties making strategic decisions of freight electrification based on Total Cost-of-Ownership (TCO) due to inaccurate representations of fleet operations, high uncertainty, and lack of generalizability. We therefore develop a data-driven analytical framework for BET and ICET fleets evaluating over 100,000 scenarios to measure the effects of strategic decisions, operational optimization, and deep uncertainty on TCO and competitiveness. We find that electrification becomes more efficient at scale, enabling optimization of routing, charging and scheduling to better mitigate operational constraints, thus improving service level and utilization. Partial electrification in large networks shows to be a robust pathway towards uncertainties such as battery prices and future battery technology. The study results provide guidelines for fleet operators realizing electrification and thereby their sustainability goals in operations.

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引用次数: 0

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