{"title":"Rail transit disruptions, traffic generations, and adaptations: Quasi-experimental evidence from Hong Kong","authors":"","doi":"10.1016/j.trd.2024.104381","DOIUrl":"10.1016/j.trd.2024.104381","url":null,"abstract":"<div><p>Despite a recent surge in urban rail service disruptions, rigorous impact studies are rare and the empirical literature presents mixed or highly underestimated results. In response, we examine the impacts of disrupted urban rail service on vehicle use in Hong Kong, using air quality as a proxy for the latter. We find that, on average, nitrogen oxides concentrations near an inactive metro station increased by 7.8% after the protests. This result translates into an 8.4% increase in on-road traffic intensity, given the pollution-traffic elasticity of 0.93. During rush hours, metro-station shutdowns further increased traffic intensity by ≤31.9%, suggesting an imminent need for a rail-to-road mode shift among commuters. The magnitude of the effects, however, tends to decline over time, with a 1% decline for each hour past the occurrence of a given shutdown event. This declining trend seems to reflect increased adaptation over time at both network and individual levels.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agent-Based Modeling for Sustainable Urban Passenger Vehicle Mobility: A Case of Tehran","authors":"","doi":"10.1016/j.trd.2024.104380","DOIUrl":"10.1016/j.trd.2024.104380","url":null,"abstract":"<div><p>In response to escalating congestion and deteriorating air quality in urban centers worldwide, exacerbated by overburdened transportation systems, there is an urgent need for accurate traffic forecasting and effective sustainable urban development strategies. This study employs agent-based modeling through four distinctive scenarios for Tehran, I. R. Iran. A synthetic population is meticulously crafted using simulated annealing, enabling the emulation of daily commuting patterns. Results show that by bolstering cycling infrastructure and enhancing public transportation services, reliance on private cars is reduced up to 46%. The introduction of flexible working hours reduces the traffic volumes during peak traffic hours by 47% and significantly altering the daily distances traveled by personal cars, as evidenced by a 1:6 ratio in car volume increase between scenarios emphasizing flexible working hours and those with more conventional traffic patterns. The results provide powerful insights for decisionmakers to manage the traffic especially in high polluted air conditions.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The nonlinear effect of atmospheric conditions on middle-school students’ travel mode choices","authors":"","doi":"10.1016/j.trd.2024.104382","DOIUrl":"10.1016/j.trd.2024.104382","url":null,"abstract":"<div><p>Atmospheric conditions have non-negligible impacts on middle-school student travel. This paper aims to compare and explore the effect of atmospheric conditions on middle-school students’ travel mode choices in Beijing based on generalized additive mixed models (GAMM). Many atmospheric conditions, including temperature, humidity, and air pollutants, were found to have significant nonlinear effects on middle-school students’ travel mode choices, which vary by variables. For example, the increase in the lowest temperature motivates middle-school students to choose active travel modes and cars. Humidity exceeding 50% is negatively correlated with the percentage of students walking. Increased PM<sub>2.5</sub> concentration benefits the percentage of bike use but negatively affects public transport use. Moreover, O<sub>3</sub> concentration has a V-shaped effect on walking and car use, which is the opposite of bike and public transport. These findings advance the understanding of effects of atmospheric conditions on middle-school students’ travel behavior and provide references for policymakers.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Company cars and household car choices","authors":"","doi":"10.1016/j.trd.2024.104384","DOIUrl":"10.1016/j.trd.2024.104384","url":null,"abstract":"<div><p>Tax systems that favour company cars for personal use could cause households to have more cars. It could also affect the choice of fuel type. We investigate the relationship between household car choices and access to a company car through a difference-in-differences design using Norwegian microdata. We find that access to a company car is associated with an increase in the total number of cars and the number of combustion-engine cars. For electric cars, the results are inconclusive. However, wage growth and access to company cars are also positively correlated. Therefore, we cannot interpret the difference in the number of cars between the treatment and control groups as a causal effect of the company car scheme, but as a correlation. Still, existing evidence on the income elasticity of car demand suggests that the increase in the number of cars is unlikely to be driven by wage growth alone.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1361920924003419/pdfft?md5=da0d90faec4fbc44abf6a20d89062d31&pid=1-s2.0-S1361920924003419-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-driven vulnerability analysis of shared electric vehicle systems to cyberattacks","authors":"","doi":"10.1016/j.trd.2024.104379","DOIUrl":"10.1016/j.trd.2024.104379","url":null,"abstract":"<div><p>Disruptions to electric vehicle charging infrastructure can hinder consumers’ confidence and impact the performance of shared electric vehicle (SEV) systems. This study focuses on SEV systems’ vulnerability to emerging cyberattacks at the system level utilizing city-scale SEV trajectory data in Beijing, China. A data-driven simulation model is developed to account for realistic charging demand–supply interactions extracted from the data. The results show that among different types of disruptions, cybersecurity threats present unique challenges to SEV systems. Compared with attacking the most highly utilized charging stations, attacking popular ones on the city’s outskirts is more likely to significantly increase stress on the charging infrastructure and reduce the accessibility of SEVs. Meanwhile, the interactions between SEVs and infrastructure could either amplify the impacts by triggering cascading failures or relieve the adversarial effects. These findings provide insights into designing policies and solutions to enhance the resilience of SEV systems against cyberattacks.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142076044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Operational LCA of a street with active mobility strategies in northern México","authors":"","doi":"10.1016/j.trd.2024.104374","DOIUrl":"10.1016/j.trd.2024.104374","url":null,"abstract":"<div><p>Active mobility (AM) is a fundamental part of a sustainable mobility system that generates environmental and social advantages; however, its use and operation are understudied using quantitative tools such as life cycle assessment (LCA), especially in the Latin American context. This study aimed to analyze the use stage of a street located in Northern Mexico. Two real scenarios were compared, one conventional (CO-SC-2020) and another sustainable (SU-SC-2022), which incorporated the concept of “complete streets” through a bicycle lane and the improvement of pedestrian spaces. Available data from the “Vía Libre” project and PIMUS, as well as SIMAPRO and Ecoinvent, were used for the LCA. The results indicated that the environmental impacts derived from transportation could be reduced through strategies such as active mobility (6.55%) and carpooling (77%), favoring the conversion of cities that consider the automobile as the guiding axis to more sustainable, inclusive, and safe cities.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142076259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clustering the European Union electric vehicle markets: A scenario analysis until 2035","authors":"","doi":"10.1016/j.trd.2024.104372","DOIUrl":"10.1016/j.trd.2024.104372","url":null,"abstract":"<div><p>Electric vehicles (EVs) play a crucial role in the ongoing road transportation transition. European regulations on greenhouse gas emissions significantly boosted EV new registrations across most European Union (EU) countries. To model their future development in Europe, we adopt a hierarchical clustering approach, which allows us to group the countries under 7 clusters based on how evolved they are in the transition to net zero-emission passenger car new registrations. Subsequently, we select representative countries for each identified cluster. By using these representative countries, we run a scenario analysis for each cluster to obtain the electrification path of the different passenger car markets across the EU until 2035. In our scenario, innovator clusters are well-positioned to achieve the CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> zero-emission passenger car target before 2035. However, other clusters, represented by Poland and Greece, are lagging behind even after 2030 and might face challenges to reach the target in 2035.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1361920924003298/pdfft?md5=6565f2b136b1f159890c81235ce9d9c8&pid=1-s2.0-S1361920924003298-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142047937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring impacts of perceived and actual air pollution on commuters’ mode choice","authors":"","doi":"10.1016/j.trd.2024.104359","DOIUrl":"10.1016/j.trd.2024.104359","url":null,"abstract":"<div><p>Since people’s decisions are usually based on their perception, Air Pollution Perception (APP) can affect travel mode changes. This research examines the effects of APP and actual air pollution on commuters’ mode choice by developing a hybrid choice model. During a cross-sectional survey in Karaj, the fourth most populous city in Iran, 768 valid questionnaires were gathered including 2795 trips. The results show that APP had a negative effect on choosing public transit. Moreover, the findings indicate that commuters are more likely to use their cars when they feel less in control over air pollution. The findings may be useful in planning policies to manage people’s perception of air pollution in order to make public transit more desirable for car commuters, especially in polluted urban areas.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying climate-related failures in railway infrastructure using machine learning","authors":"","doi":"10.1016/j.trd.2024.104371","DOIUrl":"10.1016/j.trd.2024.104371","url":null,"abstract":"<div><p>Climate change impacts pose challenges to a dependable operation of railway infrastructure assets, thus necessitating understanding and mitigating its effects. This study proposes a machine learning framework to distinguish between climatic and non-climatic failures in railway infrastructure. The maintenance data of turnout assets from Sweden’s railway were collected and integrated with asset design, geographical and meteorological parameters. Various machine learning algorithms were employed to classify failures across multiple time horizons. The Random Forest model demonstrated a high accuracy of 0.827 and stable F1-scores across all time horizons. The study identified minimum-temperature and quantity of snow and rain prior to the event as the most influential factors. The 24-hour time horizon prior to failure emerged as the most effective time window for the classification. The practical implications and applications include enhancement of maintenance and renewal process, supporting more effective resource allocation, and implementing climate adaptation measures towards resilience railway infrastructure management.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1361920924003286/pdfft?md5=08251a9e3c3240adbfa02475f67492d6&pid=1-s2.0-S1361920924003286-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142021154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electric truck feasibility for port drayage operations: Port houston case study","authors":"","doi":"10.1016/j.trd.2024.104355","DOIUrl":"10.1016/j.trd.2024.104355","url":null,"abstract":"<div><p>Heavy-duty fleet electrification has the potential to reduce lifecycle operation costs, greenhouse gases, and criteria pollutant emissions. However, there are several obstacles to shifting from diesel fleets to full-electric fleets, such as range constraints and a lack of public charging infrastructure. This study developed an analytical feasibility framework for assessing the transition of an all-diesel heavy-duty fleet to a full-electric or a mixed electric and diesel fleet for drayage trucks operating at and around ports. The proposed framework devised a structured approach and multiple measures for determining the viability of heavy-duty fleet electrification, taking technological, operational, and economic aspects into account. The case study showed that, while battery electric trucks cannot replace entire diesel fleets yet, they are technologically and economically feasible for a portion of drayage operations. This practice will facilitate fleet electrification, particularly heavy-duty, by tackling major roadblocks and providing insight into the numerous unknown possibilities.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}