Transportation Research Part D-transport and Environment最新文献_第2页

Carbon emission implications of toll discount policies and network expansions in highway

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-24 DOI: 10.1016/j.trd.2025.104758

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}

引用次数: 0

A comparison of PM concentration on different underground metro station platforms

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-23 DOI: 10.1016/j.trd.2025.104766

Minghui Tu, Ulf Olofsson

{"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}

引用次数: 0

Traffic noise evaluation at intersection using roadside light detection and ranging sensor

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-23 DOI: 10.1016/j.trd.2025.104750

Yue Wang , Ciyun Lin , Bowen Gong , Hongchao Liu

{"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}

引用次数: 0

Are deprived communities exposed to higher PM2.5 concentrations? Evidence from Cangzhou, China

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-22 DOI: 10.1016/j.trd.2025.104762

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}

引用次数: 0

Optimising built environment to reduce car use: Spatial and attribute heterogeneity perspectives

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-22 DOI: 10.1016/j.trd.2025.104767

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}

引用次数: 0

Nonlinear associations between various residential dissonances and car dependency

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-20 DOI: 10.1016/j.trd.2025.104760

Senqi Tian , Chun Yin

{"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}

引用次数: 0

The future of urban cycling: A predictive framework for climate change 城市自行车运动的未来：气候变化预测框架

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-19 DOI: 10.1016/j.trd.2025.104722

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}

引用次数: 0

Can transportation network companies improve the sustainability of urban transportation?

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-18 DOI: 10.1016/j.trd.2025.104765

Shouheng Sun , Yiran Wang , Myriam Ertz

引用次数: 0

Market-based measures for decarbonizing the shipping industry: Balancing profitability and emissions reduction

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-17 DOI: 10.1016/j.trd.2025.104725

Ying Kou , Yan Zhan , Xiaoyi Shen , Huiming Wang , Mengchi Li

引用次数: 0

Non-linear built environment effects on travel behavior resilience under extreme weather events

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-04-16 DOI: 10.1016/j.trd.2025.104753

Jixiang Liu , Jianqiang Cui , Longzhu Xiao , Dong Lin , Linchuan Yang

{"title":"Non-linear built environment effects on travel behavior resilience under extreme weather events","authors":"Jixiang Liu , Jianqiang Cui , Longzhu Xiao , Dong Lin , Linchuan Yang","doi":"10.1016/j.trd.2025.104753","DOIUrl":"10.1016/j.trd.2025.104753","url":null,"abstract":"<div><div>Resilience has been a widely used approach to assessing the response and recovery of transportation systems to various disruptions and stresses, such as extreme weather events. However, limited studies have investigated travel behavior resilience from the demand perspective, and even fewer have delved into its relationships with the built environment. Therefore, using a taxi trip dataset in Xiamen, China, and employing an advanced machine learning method (LightGBM), this study examines the non-linear effects of the built environment on travel behavior resilience during a rainstorm. The findings are as follows: (1) Location and development intensity are the most important variables for travel behavior resilience; (2) Salient non-linear relationships exist between built-environment variables and travel behavior resilience; and (3) Apparent interaction effects exist among some variables, especially between location and others. This study provides valuable insights for policymakers, offering guidance for targeted interventions to facilitate climate adaptation and enhancing resilience.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104753"},"PeriodicalIF":7.3,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834826","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}

引用次数: 0