Journal of Transport Geography最新文献

How does the spatial scale impact accessibility analysis and equity? The case of accessibility to supermarkets in Montreal 空间尺度如何影响可达性分析和公平性？以蒙特利尔的超市为例

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-19 DOI: 10.1016/j.jtrangeo.2025.104332

José Arturo Jasso Chávez , Kevin Manaugh

{"title":"How does the spatial scale impact accessibility analysis and equity? The case of accessibility to supermarkets in Montreal","authors":"José Arturo Jasso Chávez , Kevin Manaugh","doi":"10.1016/j.jtrangeo.2025.104332","DOIUrl":"10.1016/j.jtrangeo.2025.104332","url":null,"abstract":"<div><div>In place-based accessibility analyses, larger spatial scales, such as census tracts or traffic analysis zones, are often chosen for their practicality and ease of data management. However, larger spatial scales can introduce errors or biases, a phenomenon commonly known as the Modifiable Areal Unit Problem (MAUP). Although MAUP has been addressed in accessibility studies, most compare biases between larger spatial scales and do not use building lots as the reference unit. In this paper, we consider building lots to be the smallest unit of analysis for transport and urban planning. Those that do often fail to estimate the direction and magnitude of overestimation or underestimation or quantify and identify which population groups are most affected. This paper addresses this gap by quantifying the misestimation of accessibility to supermarkets in Montreal, using the cumulative opportunities measure and time to the nearest amenity, by comparing residential building lots with dissemination blocks, dissemination areas, and census tracts. We also measured the cumulative opportunities using three spatial approaches: centroid-to-centroid within census geographies, centroid-to-amenity, and average accessibility. We found that the larger the spatial scale, the higher the misestimation. Census tracts (CTs), the larger spatial scale, show a mean overestimation of 132 % to 154 %, dissemination areas (DAs) range from 111 % to 136 %, and dissemination blocks (DBs) range from 99 % to 131 %. Overestimation affects 14–54 % of dwellings in census tracts, 9–47 % in dissemination areas, and 5–46 % in dissemination blocks, depending on the mode of transport. The centroid-to-amenity generally performs the best in terms of misestimation, and we found mixed results across income groups. These findings can inform decision-makers about the importance of using small spatial scales and optimal approaches to minimize bias and improve city resource allocation.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104332"},"PeriodicalIF":5.7,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Multisource methodology for traffic analysis zone definition based on the fusion of Remote Sensing, OpenStreetMap, and Floating Car Data 基于遥感、OpenStreetMap和浮动汽车数据融合的多源交通分析区域定义方法

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-18 DOI: 10.1016/j.jtrangeo.2025.104324

Marisdea Castiglione , Federico Gallo , Martina Pastorino , Gabriele Moser , Marialisa Nigro , Nicola Sacco

{"title":"Multisource methodology for traffic analysis zone definition based on the fusion of Remote Sensing, OpenStreetMap, and Floating Car Data","authors":"Marisdea Castiglione , Federico Gallo , Martina Pastorino , Gabriele Moser , Marialisa Nigro , Nicola Sacco","doi":"10.1016/j.jtrangeo.2025.104324","DOIUrl":"10.1016/j.jtrangeo.2025.104324","url":null,"abstract":"<div><div>The choice of an appropriate Traffic Analysis Zone (TAZ) system is a critical step of travel demand modelling that is often overlooked. Studies have approached this process with the goal of favouring the homogeneity of socio-economic and geographic characteristics of the zones, also possibly taking into account the minimisation of the number of intrazonal trips. However, beyond the application of general guidelines and individual experience to specific case studies, the definition of a formal approach is still an unsolved issue. Nevertheless, the rapid ICT development and the novel big data sources allow to enhance traditional models by exploiting additional land use and spatio-temporal mobility features. This paper proposes a multisource data-driven method to support TAZ definition by identifying, through a clustering approach, zones that are homogeneous from the point of view of activities, network characteristics, and land-cover. To this end, in the proposed approach, satellite remote sensing image segmentation, OpenStreetMap layers, and Floating Car Data (FCD) are jointly exploited to define a TAZ configuration, which can be directly used as a support for planning purposes. The procedure is experimentally validated with a case study associated with the EUR district of the city of Rome, Italy, using satellite Sentinel-2 imagery, the corresponding OpenStreetMap data, and an FCD set containing more than 1.500.000 trips.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104324"},"PeriodicalIF":5.7,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Generational evolution and spatial distribution characteristics of ports along the belt and road initiative “一带一路”沿线港口代际演变与空间分布特征

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-18 DOI: 10.1016/j.jtrangeo.2025.104343

Liehui Wang , Yang Yang , Qiang Mei , Rongxin Song

{"title":"Generational evolution and spatial distribution characteristics of ports along the belt and road initiative","authors":"Liehui Wang , Yang Yang , Qiang Mei , Rongxin Song","doi":"10.1016/j.jtrangeo.2025.104343","DOIUrl":"10.1016/j.jtrangeo.2025.104343","url":null,"abstract":"<div><div>Ports serve as essential nodes in global trade and economic development, offering valuable insights into both historical transformations and contemporary advancements. This study develops a port generational model using the latitude average clustering algorithm to systematically examine the evolution of investment ports along the Belt and Road Initiative (BRI) from 2013 to 2022. Key findings include: (1) A general improvement in the generational levels of ports along the BRI, with rapid development expanding from East Asia and Southeast Asia in 2013 to encompass regions such as the Persian Gulf, Eastern Europe, and West Africa by 2022. (2) The generational distribution of ports along the BRI shows a random spatial pattern rather than significant geographical clustering. BRI investments strategically manage regional risks by acquiring resources, technology, and market opportunities across different areas, aligning with China's domestic industrial and market needs, and supporting global trade objectives. (3) Ports with robust development are primarily located in East Asia, Southeast Asia, and parts of Europe, while those in decline are mainly spread across Africa, South Asia, and Eastern Europe. (4) In terms of investment approaches, contracted ports demonstrate stronger generational advancement in the first and second generations, whereas operated ports excel in the third generation and above. (5) A comparative analysis of BRI ports and surrounding ports shows that BRI investments not only elevate the development levels of the ports themselves but also positively influence the progress of nearby ports, without fostering competitive tensions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104343"},"PeriodicalIF":5.7,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Unveiling the hidden effects of multilevel administrative boundaries on human mobility 揭示多层次行政边界对人口流动的隐性影响

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-18 DOI: 10.1016/j.jtrangeo.2025.104337

Ling Yu , Pengjun Zhao , Mengzhu Zhang , Yongheng Feng

{"title":"Unveiling the hidden effects of multilevel administrative boundaries on human mobility","authors":"Ling Yu , Pengjun Zhao , Mengzhu Zhang , Yongheng Feng","doi":"10.1016/j.jtrangeo.2025.104337","DOIUrl":"10.1016/j.jtrangeo.2025.104337","url":null,"abstract":"<div><div>Multilevel administrative boundaries create various forms of political and institutional influences on human mobility. However, quantitative evidence for these influences are absent. We examine this using mobile phone data of 107.48 billion trips across 2844 administrative units in China, a typical case experiencing significant transitions in administrative system. An extended gravity model, incorporating these boundaries, achieved 92.75 % precision and 0.23 improvement in adjusted R-squared over the classic model. Results show second-level (municipal) administrative boundaries impact mobility 3.86 times more than first-level (provincial) administrative boundaries on average. Municipal boundaries exert stronger effects in developed areas, while provincial boundaries show relatively balanced effects across regions. Municipal boundaries are linked to fiscal revenue decentralization, while provincial boundaries relate more to fiscal expenditure. Administrative boundaries influence social differentiation in mobility, with a stronger effect on females and younger populations. These findings contribute to the development of more accurate transportation models and reasonable mobility-management policies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104337"},"PeriodicalIF":5.7,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Unveiling gender disparities in metro usage using gender-inclusive smart card data: Evidence from Nanjing, China 利用性别包容性智能卡数据揭示地铁使用中的性别差异：来自中国南京的证据

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-17 DOI: 10.1016/j.jtrangeo.2025.104333

Xinwei Ma , Sijin Kou , Yanjie Ji , Minqing Zhu , Hongjun Cui

{"title":"Unveiling gender disparities in metro usage using gender-inclusive smart card data: Evidence from Nanjing, China","authors":"Xinwei Ma , Sijin Kou , Yanjie Ji , Minqing Zhu , Hongjun Cui","doi":"10.1016/j.jtrangeo.2025.104333","DOIUrl":"10.1016/j.jtrangeo.2025.104333","url":null,"abstract":"<div><div>Metro smart card data has enabled extensive research on usage patterns, yet most studies focus on overall station-level ridership trends, often neglecting the influence of gender on ridership patterns due to the lack of gender information. To fill this gap, this study compares the metro usage patterns between males and females utilizing smart card data with gender information from Nanjing, China. Then, multiple machine learning models are established to explore the determinants of ridership across gender groups. Results indicate that males with longer travel time and distance constitute 55.5 % of metro trips, and the time periods when males have more ridership peak at 7:00 on weekdays and at 10:00 and 17:00 on weekends. On weekdays, metro ridership in the urban area is high for both genders, with males significantly outnumbering females in ridership, while certain suburban stations show higher female ridership. In terms of spatial distribution, both males and females are mainly distributed in stations located in the main urban area on weekdays. On weekends, the proportion of female ridership slightly increases, particularly in urban areas, rising from 31.80 % to 32.14 %. Machine learning models show road density and workplace POIs exert a stronger influence on male ridership, contributing 30.81 % and 17.87 %, respectively. Residential POIs (38.24 %) and educational POIs (4.11 %) play a larger role in female ridership. Housing prices show a threshold effect on male ridership. The findings on gender disparities in metro usage underscore equity concerns and offer policy implications for equitable and efficient metro operations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104333"},"PeriodicalIF":5.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Analysing the influence of electric bike types on route preferences in urban cycling environments: A GPS data-driven approach 城市骑行环境中电动自行车类型对路线偏好的影响分析：基于GPS数据驱动的方法

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-17 DOI: 10.1016/j.jtrangeo.2025.104312

Manya Singh , Pavlos Tafidis , Francesco Pilla

{"title":"Analysing the influence of electric bike types on route preferences in urban cycling environments: A GPS data-driven approach","authors":"Manya Singh , Pavlos Tafidis , Francesco Pilla","doi":"10.1016/j.jtrangeo.2025.104312","DOIUrl":"10.1016/j.jtrangeo.2025.104312","url":null,"abstract":"<div><div>There is a notable trend towards an increase in e-bike adoption as compared to car ownership in urban European cities. This calls for cities to rethink their transportation and infrastructure strategies to better accommodate the diverse needs of all cyclists. This paper focuses on Dublin, where the Bike Library (i.e., a community-based bike-borrowing scheme) reported over 8400 trips, using different types of e-bikes: folding, cargo, and standard, over six months. The objective is to examine route preferences by analysing how cyclists interact with infrastructure such as cycle lanes, segregated cycle lanes, and bus lanes, which could be influenced by factors like travel distance, trip duration, and elevation differences. Variations in bike infrastructure usage were measured using statistical <em>t</em>-tests on the collected GPS data based on e-bike type. The route features of trips taken by each cyclist were further examined to find the shortest alternatives to the actual route. The combination of features of the observed trips and shortest alternative trips were fit to logistic regression and random forest models forming a binary classification task: deciding whether a trip is favourable or not. These models help us understand what features are desirable to a cyclist at the cost of added distance in their trip. It also shows features that are not desirable such as shared use lanes and surface change lanes. The resulting models were able to predict route choice accurately up to 65 % on unseen data while also highlighting the most important features in making route choices. Interestingly, the type of e-bike is the most important feature in making a route choice. These findings can help urban planners to create more cyclist-friendly routes in Dublin and increase cycling interest in the city.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104312"},"PeriodicalIF":5.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Introducing street view into node-place model for evaluating transit-oriented development 在节点-地点模型中引入街景评价公交导向开发

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-17 DOI: 10.1016/j.jtrangeo.2025.104334

Jiayu Liu , Xiping Yang , Xiaoyan Huang , Jiyuan Li , Junyi Li , Hongfei Chen , Rui An , Yongyong Song

{"title":"Introducing street view into node-place model for evaluating transit-oriented development","authors":"Jiayu Liu , Xiping Yang , Xiaoyan Huang , Jiyuan Li , Junyi Li , Hongfei Chen , Rui An , Yongyong Song","doi":"10.1016/j.jtrangeo.2025.104334","DOIUrl":"10.1016/j.jtrangeo.2025.104334","url":null,"abstract":"<div><div>Transit-oriented development (TOD) has become vital in urban construction and development. However, TOD suffers from inequitable transportation and uneven development, thereby necessitating thorough investigation. Studies have categorized and evaluated TOD using node-place and its extended model, focusing on the built environment while ignoring the visual interaction of the street environment. This study proposes an extended Node-Place-View (NPV) model for evaluating metro stations and aims to complement the original evaluation method from the visual interaction perspective by the NPV model to classify 213 stations in Chengdu, resulting in 6 clusters. The NPV indicators are aggregated into TODness and characterize the supply capacity of metro stations, and metro ridership was used to characterize the actual demand. The supply and demand for 167 stations were evaluated on the basis of the TODness–ridership relationship. The results coincide with Chengdu City's current development, providing valuable reference for future station optimization and urban planning.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104334"},"PeriodicalIF":5.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Utilizing mobile phone tracking data to estimate Intra-City modal mobility: A study on active mobility in two Finnish City regions 利用手机跟踪数据来估计城市内的交通模式：芬兰两个城市地区的主动交通研究

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-16 DOI: 10.1016/j.jtrangeo.2025.104326

Marton Magyar , Terhi Ala-Hulkko , Harri Antikainen , Tiina Lankila , Ossi Kotavaara

{"title":"Utilizing mobile phone tracking data to estimate Intra-City modal mobility: A study on active mobility in two Finnish City regions","authors":"Marton Magyar , Terhi Ala-Hulkko , Harri Antikainen , Tiina Lankila , Ossi Kotavaara","doi":"10.1016/j.jtrangeo.2025.104326","DOIUrl":"10.1016/j.jtrangeo.2025.104326","url":null,"abstract":"<div><div>Understanding sustainable and active mobility in urban areas is essential for promoting healthier, low-carbon city planning. While previous research has utilized a wide range of data sources and spatial scales, there has been minimal focus on modal detection within urban areas. This analysis utilizes mobile phone tracking data to estimate travel modes and analyse modal mobility patterns at the intra-urban scale in Finland's Greater Helsinki region and Oulu. The origin-destination matrix containing travel volumes is coupled with the accessibility network to infer estimated modes based on travel times. To account for instances of overlapping trip times or short trips that are difficult to quantify, a filter based on both trip time and length comparison is applied to the dataset. The share and spatial distribution of active mobility modes such as walking, cycling as well as public transport are analysed to explore their relationship with urban form and travel behaviour. The proposed method provides a novel way to detect transport hubs and areas with high active and public transport use, corresponding to inner urban areas. The proportion of transport modes detected in the study provides a reasonable estimate the amount reported in the National Transport Survey of the same year. These insights aim to inform sustainable urban planning, promote healthier mobility choices, and support policies that enhance carbon neutrality and climate resilience.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104326"},"PeriodicalIF":5.7,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Transit-driven resilience: Unraveling post-COVID-19 urban recovery dynamics. 交通驱动的韧性：揭示后covid -19城市恢复动态。

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-14 DOI: 10.1016/j.jtrangeo.2025.104327

Amir Forouhar , Karen Chapple , Ramesh Pokharel , Jeff Allen

{"title":"Transit-driven resilience: Unraveling post-COVID-19 urban recovery dynamics.","authors":"Amir Forouhar , Karen Chapple , Ramesh Pokharel , Jeff Allen","doi":"10.1016/j.jtrangeo.2025.104327","DOIUrl":"10.1016/j.jtrangeo.2025.104327","url":null,"abstract":"<div><div>Transit-oriented communities (TOCs), characterized by compact, walkable designs and convenient access to public transportation, have historically been inclusive, resilient, and desirable places to reside. The global COVID-19 pandemic disrupted established transportation patterns, reshaping neighborhood activity and potentially altering the appeal of TOCs. This study examines the resilience of neighborhoods surrounding subway stations in Toronto post-pandemic, comparing their recovery trajectories with control neighborhoods and exploring associated factors. Using regression model and leveraging location-based services (LBS) data from mobile phones, we assess activity levels in 2023 relative to pre-pandemic levels in 2019. Our findings suggest that, despite ongoing ridership challenges, neighborhoods near transit stations in Toronto exhibited faster recovery than those farther away, reflecting associations with transit proximity, land-use diversity, and socio-economic characteristics. The presence of industries such as accommodation, food services, arts, entertainment, healthcare, and education near transit stations was linked to a diverse economic landscape, potentially sustaining vibrant commercial areas amid shocks. Conversely, neighborhoods with a higher prevalence of workplaces for sectors with remote work potential showed slower recovery. Variables such as proximity to jobs and essential amenities, walkability, and shorter commute times were also strongly associated with higher recovery rates. These findings offer actionable insights for policymakers and urban planners, highlighting the importance of integrating public transit with diverse land uses, socio-economic attributes, and equitable urban policies to support sustainable and resilient neighborhoods in the face of future crises.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104327"},"PeriodicalIF":5.7,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 influence of rural built environment on residents' non-commuting travel mode choices 农村建成环境对居民非通勤出行方式选择的影响

IF 5.7 2区工程技术

Journal of Transport Geography Pub Date : 2025-06-12 DOI: 10.1016/j.jtrangeo.2025.104330

Yibin Ao, Yi Long, Junjie Zheng, Homa Bahmani

{"title":"The influence of rural built environment on residents' non-commuting travel mode choices","authors":"Yibin Ao, Yi Long, Junjie Zheng, Homa Bahmani","doi":"10.1016/j.jtrangeo.2025.104330","DOIUrl":"10.1016/j.jtrangeo.2025.104330","url":null,"abstract":"<div><div>With the rapid urbanization in China, rural communities featuring centralized farmer residences have expanded significantly. However, limited research has focused on how the built environment influences non-commuting travel mode choices in these areas. This study analyzed non-commuting travel in 12 rural communities in Chengdu using Extreme Gradient Boosting and SHapley Additive exPlanations models to examine nonlinear relationships between built environment variables—the “5Ds” (density, diversity, design, destination accessibility, distance to transit) and green space density—and travel modes (walk, car, bus, two-wheeler). Key findings reveal that moderate green space density enhances walking and two-wheeler use, while too low or high levels discourage them. Proximity to the city center increases walking and reduces reliance on cars and two-wheelers. Higher building density promotes walking, but higher population density discourages it. Road density favors walking and two-wheelers but may deter car use. Moderate land use mix supports two-wheeler and bus use; excessive diversity may deter walking. Insufficient public transportation discourages bus usage despite accessibility. These insights highlight the need to tailor rural built environments to promote sustainable, non-commuting travel behaviors.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104330"},"PeriodicalIF":5.7,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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