Journal of Transport Geography最新文献

{"title":"“I have no choice”: Agency, poverty and embodied experience in urban transport","authors":"Tamara Kerzhner ,&nbsp;Zayeenab Chilumpha ,&nbsp;Wilfred Jana ,&nbsp;Sekani Tukula ,&nbsp;Fatima Arroyo","doi":"10.1016/j.jtrangeo.2025.104175","DOIUrl":"10.1016/j.jtrangeo.2025.104175","url":null,"abstract":"<div><div>This mixed-methods study explores mobility – and the lack of it - in Lilongwe, Malawi, a mid-sized African capital city, based on a 600-person household travel survey, developed to capture nuances of gender and class, “mobilities of care”, and suppressed and unfulfilled travel needs, as well as over 100 semi-structured interview with city residents, transport operators, and policy makers. As well as the focus on missed travel and unreachable destinations, we integrate the physical, mental and emotional experiences of travel. The paper finds travel in the city to be dominated by sense of constraint and limited agency emerges for urban residents. Travel is expensive, difficult and ineffective. Half of respondents do not use any form of motorized transport regularly, and 60 % of residents report being unable to make trips for social purposes, and over 40 % for medical purposes. Most areas are perceived a unsafe for pedestrians, both from crime, and from poor traffic safety. 24 % of respondents report experiencing a traffic crash in the past six months. For residents, it means both curtailed physical movement, and a deprivation of agency, which saps choice, opportunity, and time. Even basic, daily, routing trips require constant tradeoffs, calculations and sacrifices to navigate the city. These drive a layered sense of exclusion, frustration, and disempowerment.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104175"},"PeriodicalIF":5.7,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Assessing the causal effect of air pollution on electric vehicle adoption using real world data: Evidence from 270 Chinese cities","authors":"Hangying Su ,&nbsp;Mi Diao","doi":"10.1016/j.jtrangeo.2025.104120","DOIUrl":"10.1016/j.jtrangeo.2025.104120","url":null,"abstract":"<div><div>Electric vehicles (EVs) are recognized as a feasible solution for improving the environment, and environmental factors may also exert effects on the adoption of EVs. Previous research, primarily relying on survey methodologies, indicated that individual environmental awareness promotes the intention to adopt EVs. However, few studies explore the impact of real-world air quality on actual EV adoption. Compiling a panel dataset encompassing 270 Chinese cities from 2014 to 2020, we use an instrumental variable approach to assess the causal effect of air quality on the sales of EVs. Thermal inversion is employed as an instrumental variable to address endogeneity arising from the obvious reverse causality in their relationship. The results show that the deterioration of air quality leads to an increase in the sales of EVs. This positive effect is more pronounced in cities characterized by higher per capita income, higher car ownership per capita, and larger urban size. Mechanism analyses show that the positive effect is largely mediated by government policies. Our findings reveal that Chinese governments are responding to air pollution issues in a rational way and that their policies are effectively promoting the adoption of EVs.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104120"},"PeriodicalIF":5.7,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551658","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}

{"title":"Subway expansion, residential relocation, and travel behavior: Causal evidence from China","authors":"Yiru Tan ,&nbsp;Pengjun Zhao ,&nbsp;Ling Li","doi":"10.1016/j.jtrangeo.2025.104166","DOIUrl":"10.1016/j.jtrangeo.2025.104166","url":null,"abstract":"<div><div>The literature regarding the outcomes of rail transit investments varies between those who praise them for improving accessibility and those who criticize them for excluding residents who would benefit more from the improvements. Through the lens of residential relocation, this study examines the impact of rail transit investments by taking both sides of the argument into account. Based on the data of 71 new subway stations and individual residential trajectory in Shenzhen, we employ the difference-in-differences method to estimate the number of residents who moved into and out of neighborhoods served by these stations, as well as the behavioral outcomes associated with these relocations. The results indicate that the opening of new subway stations attracted newcomers to nearby neighborhoods, especially those who previously enjoyed transit proximity and exhibited greater reliance on it. Meanwhile, there was a significant decline in out-migration among existing residents after new stations opened. No evidence of transit-induced displacement was observed in terms of relocation size or direction. Instead, the attraction effects of new station openings were more pronounced in low-rent neighborhoods. However, we found that those moving-out residents, who lost subway access, significantly reduced subway usage and spent less time on non-work trips after relocating.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104166"},"PeriodicalIF":5.7,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510831","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}

{"title":"A quasi-experimental study of light rail transit on jobs-housing balance by regional typology: A case study of South Korea","authors":"Wookjae Yang ,&nbsp;Justin S. Chang","doi":"10.1016/j.jtrangeo.2025.104173","DOIUrl":"10.1016/j.jtrangeo.2025.104173","url":null,"abstract":"<div><div>Light Rail Transit (LRT) systems have been introduced across various regions of South Korea to address travel needs and promote sustainable urban development. Jobs-housing balance was one of the top priorities for city management in these schemes. However, a lack of an integrated plan for LRT and jobs-housing opportunities has resulted in excess commuting, which contradicts the expected outcome of providing an LRT system. Existing literature has reported mixed findings on jobs-housing balance. These seemingly perplexing results would arise from methodological limitations that fail to adequately control for confounding variables and explain variations among regional types. The study analyzes changes in jobs-housing balance after the intervention of LRT systems in different urban contexts. This study categorizes regional typologies of LRT service areas into three types—type1 if a line connects “periphery-metropolitan center-periphery” areas; type2 if a line connects “city center-periphery”; type3 if a line serves “metropolitan center.” The study employs a quasi-experimental design incorporating propensity score matching (PSM) and difference-in-difference regression. PSM matches treatment and control groups that have similar characteristics. Subsequently, difference-in-difference regression modeling estimates the treatment effects on jobs-housing balance resulting from LRT system operations. The PSM results confirm the varied impacts of LRT operations on the jobs-housing balance depending on the different regional types. Types 1 and 2, linking the metropolitan or surrounding city centers with the urban peripheries, experience significant imbalances, while the control groups show greater jobs-housing balance after the introduction of LRT. However, type 3 serving metropolitan centers demonstrates no significant difference between treatment and control groups. The DID results indicate that the treatment effect is only significant in type 1. In conclusion, LRT systems, which mainly connect urban peripheries and centers, are more likely to cause a mismatch between jobs and housing distribution. The results suggest an integrated approach between LRT and the built environment, such as transit-oriented development (TOD), that promotes a jobs-housing balance by locating jobs and affordable housing near LRT stations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104173"},"PeriodicalIF":5.7,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510832","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}

{"title":"Measuring maritime search and rescue (SAR) accessibility using an improved spatiotemporal two-step floating catchment area method: A case study in the South China Sea","authors":"Yixuan Wang,&nbsp;Yu Han","doi":"10.1016/j.jtrangeo.2025.104155","DOIUrl":"10.1016/j.jtrangeo.2025.104155","url":null,"abstract":"<div><div>Accessibility is a crucial metric for evaluating the effectiveness and disparity of search and rescue (SAR) services. Traditional models of accessibility are typically focused on land-based scenarios, often overlooking the unique challenges posed by complex, dynamic maritime emergencies. To bridge this gap, this study introduces an improved spatiotemporal two-step floating catchment area (ST-2SFCA) method, specifically designed to assess SAR accessibility in maritime contexts. The method simultaneously considers various time-dependent factors, including the SAR demand, rescue supply, and oceanic conditions, alongside typical normal or extreme oceanic scenarios. Geographic Information System (GIS)-based techniques are combined with diverse, spatiotemporal SAR datasets—including ship traffic flow data, incident records, rescue base and vessel parameters, and wind and wave data—to refine calculations of response times, supply-to-demand ratios, and overall accessibility. A case study in the South China Sea region across five countries—China, Vietnam, the Philippines, Singapore, and Malaysia—examines our proposed method's applicability and effectiveness. Moreover, the results reveal that ignoring dynamic supply-demand interactions and oceanic influences can lead to inaccurate SAR accessibility estimates, potentially misleading stakeholders. These findings provide insights for policymakers, improving the understanding of dynamic SAR performance, offering recommendation for enhancing SAR systems, and supporting regional cooperation among nations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104155"},"PeriodicalIF":5.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508243","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}

{"title":"Understanding multimodal travel patterns based on semantic embeddings of human mobility trajectories","authors":"Wenxiang Li ,&nbsp;Longyuan Ding ,&nbsp;Yuliang Zhang ,&nbsp;Ziyuan Pu","doi":"10.1016/j.jtrangeo.2025.104169","DOIUrl":"10.1016/j.jtrangeo.2025.104169","url":null,"abstract":"<div><div>As more people use multiple transport modes in a single trip, understanding multimodal travel patterns becomes essential for designing a more efficient and sustainable transportation system. However, the inherent spatiotemporal dependencies in multimodal travel make it challenging to recognize these patterns accurately. Therefore, this study aims to apply the large language model (LLM) to better understand the complex multimodal travel patterns of urban residents. First, we develop a change point-based method to divide human mobility trajectories into travel segments and then use the Light Gradient Boosting Machine (LightGBM) to infer the travel modes of each segment. Next, multimodal travel features are extracted and represented in textual forms, which are transformed into semantic embeddings using the Bidirectional Encoder Representations from Transformers (BERT). Finally, we apply the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to measure semantic similarity between these embeddings and identify different multimodal travel patterns. The proposed approach is validated using 17,621 mobility trajectories from 182 volunteers in Beijing, successfully identifying 35 representative multimodal travel patterns. Additionally, some abnormal patterns indicate underlying deficiencies in transportation facilities, providing valuable insights for transportation planning and management. In summary, the scientific contribution of this study is to redefine multimodal travel pattern recognition as a semantic similarity measurement problem by embedding diverse and discrete multimodal travel features into a unified and continuous vector space.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104169"},"PeriodicalIF":5.7,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508242","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}

{"title":"A spatiotemporal knowledge graph-based method for identifying individual activity locations from mobile phone data","authors":"Jian Li ,&nbsp;Tian Gan ,&nbsp;Weifeng Li ,&nbsp;Yuhang Liu","doi":"10.1016/j.jtrangeo.2025.104157","DOIUrl":"10.1016/j.jtrangeo.2025.104157","url":null,"abstract":"<div><div>In recent years, mobile phone data has been widely used for human mobility analytics. Identifying individual activity locations is the fundamental step for mobile phone data processing. Current methods typically aggregate spatially adjacent location records over multiple days to identify activity locations. However, only considering spatial relationships while overlooking temporal ones may lead to inaccurate activity location identification, and also affect activity pattern analysis. In this study, we propose a spatiotemporal knowledge graph-based (STKG) method for identifying activity locations from mobile phone data. An STKG is designed and constructed to describe individual mobility characteristics. The spatial and temporal relationships of individual stays are inferred and transformed into a spatiotemporal graph. The modularity-optimization community detection algorithm is applied to identify stays with dense spatiotemporal relationships, which are considering as activity locations. A case study in Shanghai was conducted to verify the performance of the proposed method. The results reveal a reasonable level of agreement between the spatial distribution of nighttime activity locations identified by the STKG-based method and the residential locations derived from household travel surveys data, with an R-squared value of 0.53. Compared with two baseline methods, the STKG-based method can limit an additional 45 % of activity locations with the longest daytime stay within a reasonable spatial range; In addition, the STKG-based method exhibit lower standard deviation in the start and end times of activities across different days, performing approximately 10–20 % better than the two baseline methods. Moreover, the STKG-based method effectively distinguishes between locations that are geographically close but exhibit different temporal patterns. These findings demonstrate the effectiveness of STKG-based method in enhancing both spatial precision and temporal interpretability.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104157"},"PeriodicalIF":5.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474497","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}

{"title":"Dynamic patterns of intercity mobility and influencing factors: Insights from similarities in spatial time-series","authors":"Weijie Yu ,&nbsp;Wei Wang ,&nbsp;Xuedong Hua ,&nbsp;De Zhao ,&nbsp;Dong Ngoduy","doi":"10.1016/j.jtrangeo.2025.104154","DOIUrl":"10.1016/j.jtrangeo.2025.104154","url":null,"abstract":"<div><div>Substantial spatiotemporal variations are rooted in intercity mobility due to diverse characteristics of urban systems, especially during holidays, yet remain poorly understood at present. This research aims to bridge this gap by presenting a novel dynamic perspective on intercity mobility and its influencing factors. Specifically, we captured general time-varying patterns of intercity mobility while considering spatial differences and exploring temporal similarity. To achieve this, large-scale spatial time-series of intercity mobility flow across both non-holiday and holiday periods were extracted from the nationwide Location-based Services (LBS) dataset in China. The research framework is divided into three phases: Firstly, we employed shape-based clustering to capture the general time-varying patterns by exploring their similarities. Afterward, we identified crucial features that determine time-varying patterns using Extreme Gradient Boosting (XGBoost), incorporating a comprehensive feature set related to urban attributes and spatial connection. Lastly, we provided an explainer that specifies the feature contributions using the SHapley Additive exPlanations (SHAP). Our findings revealed similarities in dynamic patterns of intercity mobility flow, suggesting that different cities or city pairs potentially exhibit similar time-varying trends. Also, we noted significant diversities in dynamic patterns across various periods, primarily characterized by peak flow trends around weekends and the start/end of holidays. Feature analysis identified population density and land use intensity as crucial factors shaping mobility flow patterns of cities, while distance and economic connection largely influenced mobility flow patterns between city pairs. Comparison results indicated that the same features exert differentiated effects and varying intensities across different periods.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104154"},"PeriodicalIF":5.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474496","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}

{"title":"Modeling and spatial analysis of heavy-duty truck CO2 using travel activities","authors":"Zhipeng Peng ,&nbsp;Hao Ji ,&nbsp;RenTeng Yuan ,&nbsp;Yonggang Wang ,&nbsp;Said M. Easa ,&nbsp;Chenzhu Wang ,&nbsp;Hongshuai Cui ,&nbsp;Xiatong Zhao","doi":"10.1016/j.jtrangeo.2025.104158","DOIUrl":"10.1016/j.jtrangeo.2025.104158","url":null,"abstract":"<div><div>Heavy-duty trucks (HDTs) are vital components of the freight industry yet have faced criticism for their substantial CO₂ emissions. This study, focusing on Xi'an, a crucial freight hub city in China, aims to investigate the factors influencing CO₂ emission from HDTs. A unique aspect of this study is using a Latent Dirichlet Allocation (LDA) model to evaluate the potential impact of different travel activities on CO₂ emissions using travel activities of HDTs extracted from extensive GPS data. Subsequently, the Random Forest (RF) model with a GeoShapley explainer was used to examine both the main and spatial effects of travel activities, road density, land use, and freight hub accessibility on CO₂ emissions. The results revealed the existence of fifteen distinct travel activities among HDTs in Xi'an, eight of which clearly influence CO₂ emissions. Considerable variations were observed in the magnitudes of the impact of different variables on CO₂ emissions, as indicated by GeoShapley values. The density of expressways and main roads has the greatest impact on CO₂ emissions, while various types of travel activities also significantly affect CO₂ emissions, with the impact of different travel activities varying to some extent. Additionally, there is evident spatial heterogeneity in the impact of various variables on CO₂ emissions, with larger positive GeoShapley values tending to concentrate around the 3rd Ring and expressways in Xi'an City. These findings, shedding light on the complex interplay of factors influencing CO₂ emissions from HDTs, provide valuable insights for formulating environmentally sustainable management policies concerning HDTs from spatial perspectives.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104158"},"PeriodicalIF":5.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474498","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}

{"title":"How is grocery shopping completed in households with children? Gender gaps and typologies of grocery shopping in four Canadian metropolises","authors":"Chunjiang Li,&nbsp;Michael J. Widener","doi":"10.1016/j.jtrangeo.2025.104156","DOIUrl":"10.1016/j.jtrangeo.2025.104156","url":null,"abstract":"<div><div>Grocery shopping is important household labor that directly impacts diet quality and related downstream health outcomes. Like other household tasks, it is usually divided unequally in opposite-gender households, with women doing more grocery shopping than men. However, common indicators used to identify gender gaps, like activity frequency and duration, are unable to sufficiently depict the full picture of the constraints faced by women during grocery shopping activities. This is especially evident for women in households with children, who often share more care-related labor. To address this gap, this paper examined the gender differences in grocery shopping activities across multiple dimensions, including frequency, duration, grocery store types, travel modes, the presence of companions, timing of shopping, and trip chaining. Drawing upon the <em>Time Use &amp; Food Habits</em> survey conducted in four Canadian metropolitan areas in 2021, the results show that women and men in households with children exhibited different characteristics of grocery shopping across multiple dimensions. Women compared to men not only spent more time shopping, but also were less likely to drive to stores and more likely to shop during working hours and with companions. Gender differences were further compared among different classifications of grocery shopping patterns identified through latent class analysis. Various gender gaps were found across different classifications, with women shopping with others possibly having some of the most complex constraints. Multinominal logistic regression shows that shopping with others was associated with identifying as female, being relatively lower socioeconomic status, having greater housework responsibilities, and living in areas with higher grocery store density. Overall, this study provides evidence of nuanced gender gaps of grocery shopping in multiple dimensions, within different groups of people, and across a range of cities of various sizes.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104156"},"PeriodicalIF":5.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}