{"title":"Impact of railway grade separation: Aspects of real estate prices and gentrification","authors":"Po-Yen Yu , Yu-Ting Hsu","doi":"10.1016/j.trd.2025.104769","DOIUrl":"10.1016/j.trd.2025.104769","url":null,"abstract":"<div><div>The construction of railways has been proven to affect not only transportation but also land values and the potential for gentrification. However, debates persist due to limited studies and unclear benefits of projects related to the renewal of the transport infrastructure. This study examines the impact of railway grade separation on real estate prices and gentrification based on the cases in Taichung and Kaohsiung, Taiwan, using elevated and underground systems, respectively. Through difference-in-differences models and hierarchical clustering with Markov chains, the study analyzes gentrification indices and proximity to railway grade separation projects. Both cities show significant changes in real estate prices, but only Kaohsiung exhibits noticeable shifts in household income, indicating gentrification. The results provide insights for the government in enhanced evaluation of policy feasibility and future project implementation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"144 ","pages":"Article 104769"},"PeriodicalIF":7.3,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874701","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}
Yudan Kong , Xinyue Zhang , Junjin Wang , Guoqing Zhu
{"title":"Navigating towards sustainability: A comprehensive evaluation of port supply chain in China","authors":"Yudan Kong , Xinyue Zhang , Junjin Wang , Guoqing Zhu","doi":"10.1016/j.trd.2025.104770","DOIUrl":"10.1016/j.trd.2025.104770","url":null,"abstract":"<div><div>With the rapid expansion of international trade, maritime transportation has become a vital global link, with ports playing a critical role in supply chains. While these complex systems drive economic growth, they also present significant environmental and social challenges. To address these challenges, a comprehensive understanding of the current sustainability performance of port supply chains (PSCs) is essential. This paper introduces a customer-oriented sustainability assessment framework for PSCs, incorporating economic, environmental, and social dimensions. It integrates the Quality Function Deployment (QFD) method and Cross Hierarchical Data Envelopment Analysis (CH-DEA) model to evaluate 16 PSCs in China from 2017 to 2022, aiming to identify key deficiencies and provide a basis for targeted improvements. The results indicate that China’s PSCs show overall low levels of sustainable development. Economic deficiencies are widespread, while environmental and societal challenges, including CO<sub>2</sub> and SO<sub>2</sub> emissions, energy consumption, and accidents, remain difficult to address.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"144 ","pages":"Article 104770"},"PeriodicalIF":7.3,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874702","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}
Hecheng Yan , Ziyi Liu , Chidong Zhou , Lei Liu , Xi Li , Bingya Xue , Kai Huang , Yajuan Yu
{"title":"Can hydrogen fuel cell bus facilitate carbon neutrality in the transportation sector?","authors":"Hecheng Yan , Ziyi Liu , Chidong Zhou , Lei Liu , Xi Li , Bingya Xue , Kai Huang , Yajuan Yu","doi":"10.1016/j.trd.2025.104754","DOIUrl":"10.1016/j.trd.2025.104754","url":null,"abstract":"<div><div>Hydrogen fuel cell vehicles (HFCV) emerge as the promising alternative to internal combustion engine vehicles (ICEV). This study focuses on hydrogen fuel cell buses (HFCB) and assesses carbon footprint (CF) across the life cycle. During the production phase, the average carbon emissions of HFCB are 84055.91 kgCO<sub>2</sub>eq, significantly higher than the 43881.92 kgCO<sub>2</sub>eq of ICEV. During the usage phase, HFCB’s emissions are significant, but the cleanliness of hydrogen production methods can significantly reduce the emissions. In the recycling phase, the average carbon reduction achieved by HFCB is 12897.11 kgCO<sub>2</sub>eq, surpassing the 10746.24 kgCO<sub>2</sub>eq reduction of ICEV. However, it is not sufficient to offset the carbon emissions generated throughout the life cycle of HFCB. The overall lifecycle CF of HFCB exceeds that of ICEV. Finally, with changes in power infrastructure and advancements in hydrogen production, HFCB will contribute positively to carbon neutrality, accelerating the achievement of the 2060 carbon neutrality target.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"144 ","pages":"Article 104754"},"PeriodicalIF":7.3,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874699","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}
Han Yang , Churui Huang , Qing Yu , Jiaxing Li , Maocun Yuan , Zhe Zhang
{"title":"Carbon emission implications of toll discount policies and network expansions in highway","authors":"Han Yang , Churui Huang , Qing Yu , Jiaxing Li , Maocun Yuan , Zhe Zhang","doi":"10.1016/j.trd.2025.104758","DOIUrl":"10.1016/j.trd.2025.104758","url":null,"abstract":"<div><div>Highways account for a significant share of transportation-related CO<sub>2</sub> emissions, yet policy interventions in mitigating these emissions remain underexplored. This paper investigates the impact of toll discount policies and network expansions on highway carbon emissions, drawing on long-term Electronic Toll Collection (ETC) data. We propose a bottom-up framework for estimating highway emissions and use a combination of time series decomposition and causal inference methods to isolate policy impacts. Our results reveal that toll discounts exert a significant and positive effect on highway carbon emissions, the shift of freight traffic onto highways reduces overall system-wide emissions: on average, each kilometer of discounted highway travel yields a net reduction of 52 g of CO<sub>2</sub> per day in the transportation network. These findings underscore both the potential of policy-driven highway utilization to lower total carbon footprints and the importance of carefully calibrated policies to manage induced passenger travel.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"144 ","pages":"Article 104758"},"PeriodicalIF":7.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869698","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":"A comparison of PM concentration on different underground metro station platforms","authors":"Minghui Tu, Ulf Olofsson","doi":"10.1016/j.trd.2025.104766","DOIUrl":"10.1016/j.trd.2025.104766","url":null,"abstract":"<div><div>The elevated concentration of airborne particulate matter on underground metro platforms, far higher than in aboveground environments, has drawn increasing public attention. This study builds on long-term particulate matter measurements from three underground metro platforms in Stockholm, introducing a platform-specified multi-factor model that improves on the previous single-station model. By incorporating platform-specific data, this new model enhances applicability across multiple stations and analyses the effects of train frequency, train type, passenger flow, and urban background PM on PM<sub>1</sub>, PM<sub>2.5</sub>, and PM<sub>10</sub> concentration changes. Comparative analysis shows the new model has better flexibility, accuracy, and stability. The results reveal significant interactions between variables, with platform-specific differences in how these factors influence PM concentration rates. Model estimations indicate that as new train types replace older ones, PM concentrations will vary across platforms but are expected to approach the recommended levels set by Stockholm’s transport authorities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"144 ","pages":"Article 104766"},"PeriodicalIF":7.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863388","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":"Traffic noise evaluation at intersection using roadside light detection and ranging sensor","authors":"Yue Wang , Ciyun Lin , Bowen Gong , Hongchao Liu","doi":"10.1016/j.trd.2025.104750","DOIUrl":"10.1016/j.trd.2025.104750","url":null,"abstract":"<div><div>Traffic noise significantly impacts public health, necessitating precise evaluation for effective monitoring, particularly at intersections. This study proposes a novel framework using roadside light detection and ranging (LiDAR) sensor to assess traffic noise, marking the first application of LiDAR-based background point cloud segmentation for noise evaluation. First, a point cloud segmentation method was introduced, leveraging integrated algorithms to identify buildings and vegetation. Then, a noise propagation model was developed, incorporating direct, diffractive, and reflective paths to evaluate environmental effects. In addition, noise attenuation by vegetation was quantified using point cloud density. Finally, noise maps were generated to visualize intersection noise levels. Experimental results demonstrated the segmentation method achieved an accuracy of 80.63%. The evaluation achieved a mean absolute error (MAE) of 1.24 dB and a coefficient of determination of 0.78 compared to sound level meter measurements, showcasing the model’s effectiveness and potential in evaluating traffic noise.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"144 ","pages":"Article 104750"},"PeriodicalIF":7.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860060","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}
Lewen Wang , Like Jiang , Zhiqiang Zhai , Lei Yu , Guohua Song , Yizheng Wu
{"title":"Are deprived communities exposed to higher PM2.5 concentrations? Evidence from Cangzhou, China","authors":"Lewen Wang , Like Jiang , Zhiqiang Zhai , Lei Yu , Guohua Song , Yizheng Wu","doi":"10.1016/j.trd.2025.104762","DOIUrl":"10.1016/j.trd.2025.104762","url":null,"abstract":"<div><div>Deprived communities tend to face higher environmental exposure risks due to inadequate environmental protection and economic investment. Estimating high-resolution disparities in pollution exposure is key to addressing such Environmental Justice issues. This study conducted a PM<sub>2.5</sub> measurement campaign in Cangzhou, China, in 2021, by using a taxi-based mobile sensing system. Disparities in pollution exposure, health impacts and related economic costs were calculated between deprived and affluent zones. The results showed mean values cannot represent the full extent of exposure inequality, and distributional characteristics should be emphasized. Pollutant concentrations and relative risks in some disadvantaged areas exceeded the maximum values in affluent areas. Disparities are more pronounced within deprived areas, with Gini coefficients for pollution exposure of 9.12%, exceeding affluent areas (2.28%). But affluent areas exhibit higher economic costs. The study contributes to portraying the inequalities of environmental exposure in developing country cities, helping formulate policies to mitigate environmental health disparities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104762"},"PeriodicalIF":7.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855320","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}
Jian Chen , Keliang Liu , Rui Li , Wu Li , Qi Chen
{"title":"Optimising built environment to reduce car use: Spatial and attribute heterogeneity perspectives","authors":"Jian Chen , Keliang Liu , Rui Li , Wu Li , Qi Chen","doi":"10.1016/j.trd.2025.104767","DOIUrl":"10.1016/j.trd.2025.104767","url":null,"abstract":"<div><div>To facilitate the development of a green travel environment within the community, researchers have analyzed the relationship between built environment and vehicle kilometers traveled (VKT) from different perspectives. However, these studies often overlook the fact that there are both spatial and attribute differences in the effects of different built environments on VKT, and that the extent of such differences varies across variables. This oversight may lead to ineffective built environment optimization measures. To address this problem, based on data from a survey of car use behavior in Baoding, China, this study utilized a multi-scale geographically weighted regression model (MGWR) that considered the spatial scale heterogeneity of variables. Additionally, a multi-scale attribute weighted regression model (MAWR) was developed based on the MGWR model, emphasizing group heterogeneity. The findings of the study emphasize the importance of considering spatial location and attribute characteristics when formulating policies related to the built environment.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104767"},"PeriodicalIF":7.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855328","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":"Nonlinear associations between various residential dissonances and car dependency","authors":"Senqi Tian , Chun Yin","doi":"10.1016/j.trd.2025.104760","DOIUrl":"10.1016/j.trd.2025.104760","url":null,"abstract":"<div><div>Residential dissonances have been treated as key factors influencing car dependency. However, few studies explore nonlinear effects of various residential dissonances on car dependency. Using 2018 Shanghai data consisting of 1,118 adults, we used gradient boosting decision trees models to examine relative contributions and nonlinear impacts of residential dissonances on car dependency. Results showed that residential dissonances, particularly objective residential dissonances, were important to car ownership and usage. Moreover, residential dissonances nonlinearly affected car dependency. Residential dissonances related to proximity to downtown and building density increased car usage. When street connectivity was below preferred, it exhibited a U-shaped relationship with car usage. Last, the effects of residential dissonances on car usage differed in purposes. Some dissonances predictors influenced commuting and non-commuting car usage differently, while some dissonances predictors affected only one of them. These findings offer new insights for scholars and policymakers to advance sustainable transportation and walkable urban design.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104760"},"PeriodicalIF":7.3,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850692","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}
Xudong Wang, Eduardo Adame Valenzuela, Chenglong You, Van-Thanh-Van Nguyen , Lijun Sun , Luis F. Miranda-Moreno
{"title":"The future of urban cycling: A predictive framework for climate change","authors":"Xudong Wang, Eduardo Adame Valenzuela, Chenglong You, Van-Thanh-Van Nguyen , Lijun Sun , Luis F. Miranda-Moreno","doi":"10.1016/j.trd.2025.104722","DOIUrl":"10.1016/j.trd.2025.104722","url":null,"abstract":"<div><div>Urban cycling plays a vital role in sustainable urban mobility. It reduces the environmental impact of transportation and promotes public health. While urban cycling is key to combating climate change, future climate conditions may significantly influence active transportation. In this context, this study proposes a predictive framework that integrates weather-based ridership models with downscaled climate projections. The framework aims to predict cycling demand under various climate scenarios. Using Montréal as a case study, we explore how projected climate changes could affect urban cycling in a cold-climate North American city. By the 2050s, Montréal is expected to experience warmer and drier conditions, with ridership projected to increase by 8.7% to 19.9% across different scenarios. The most notable growth is anticipated during shoulder months, such as April, October, and November, due to more favorable weather conditions. These findings emphasize the need to adapt bicycle infrastructure and services to accommodate evolving demand in a changing climate.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104722"},"PeriodicalIF":7.3,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847411","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}