Journal of Transport Geography最新文献

{"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}

{"title":"Mobility transition through labs in real-world contexts. The contribution of transdisciplinary approaches in creating sustainable transportation systems","authors":"Jan-Marc Joost,&nbsp;Martin Lanzendorf,&nbsp;Tonio Weicker","doi":"10.1016/j.jtrangeo.2025.104153","DOIUrl":"10.1016/j.jtrangeo.2025.104153","url":null,"abstract":"<div><div>Major transformations are needed to achieve more sustainable transport practices. Taking the persistence of transport systems into account, a variety of participatory and experimental approaches have emerged, such as urban living labs and real-world labs, to develop solutions in a transdisciplinary collaboration. Despite the anticipated importance of such transdisciplinary approaches, there remains a gap in the empirical evaluation of their effectiveness in driving sustainable change. To better understand the potential of such approaches, we used a scoping review of existing literature on (1) the extent to which transdisciplinary lab approaches are used in transportation, (2) how they are conducted in terms of transdisciplinary collaboration and (3) how outcomes are measured and evaluated. The results show that transdisciplinary labs are still generally a marginal but growing approach in the field of transportation. They cover a wide range from technology-centred to socio-ecological approaches with varying levels of stakeholder involvement. We highlight the potential of transdisciplinary labs to bridge long-standing participation gaps within transportation planning. Yet, robust evaluation of results within these approaches is limited. This constrains the empirical significance of the results and hinders transferability and scalability.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"124 ","pages":"Article 104153"},"PeriodicalIF":5.7,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464565","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":"Resilient or fragile? Modelling economic disruptions in India's electronics sector due to the Red Sea crisis","authors":"Bishal Dey Sarkar ,&nbsp;Laxmi Gupta ,&nbsp;Sandeep Jagtap","doi":"10.1016/j.jtrangeo.2025.104121","DOIUrl":"10.1016/j.jtrangeo.2025.104121","url":null,"abstract":"<div><div>The Red Sea crisis and the recent attacks on commercial ships have drawn significant attention worldwide, underscoring the need to understand how such geopolitical conflicts can disrupt global supply chains and economic stability. This paper thoroughly examines the complex impacts of the crisis on India's electronics and photonics sector, recognizing the sector's crucial importance as a fundamental pillar in the country's economic structure. The study creates a mathematical model to assess how disruptions in the Electronics and Photonics Sector affect India's economy in light of the Red Sea Crisis. The model uses two specific methods: interval programming and input-output modelling. How disruption in one area of the economy ripples to another is studied using Wassily Leontief's Inoperability Input-output Model (IIM). IIM now includes interval programming to handle data uncertainties. The findings disclose that, because of the Red Sea crisis, Indian Sector has experienced a huge economic loss of 605.52 million USD. The study also determines which sectors are anticipated to suffer significant losses due to the crisis, allowing decision-makers to prioritize their investment plans. Further, the research uses the inoperability value to analyse the interconnections between the sectors. Additionally, a decision-support conclusion is included in the research to analyse the sectors under various situations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104121"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990290","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":"Adaptive scootability index: Built environment, travel purpose and e-scooter preferred route","authors":"Shuting Chen ,&nbsp;Zhejing Cao ,&nbsp;Xiaohu Zhang","doi":"10.1016/j.jtrangeo.2025.104117","DOIUrl":"10.1016/j.jtrangeo.2025.104117","url":null,"abstract":"<div><div><em>E</em>-scooter sharing has gained popularity globally. While previous research has explored the relationship between e-scooter usage and the built environment, scant attention has been devoted to evaluating how the built environment affects e-scooter route choices with different trip purposes. This study thus proposes an analytical framework to examine e-scooter route preferences across diverse trip purposes and develops an adaptive scootability index using ensemble feature weighting. By analyzing 161,426 e-scooter GPS trajectories from Brisbane and Christchurch, we found e-scooter sharing was mainly used for non-commuting trips (e.g. dining, leisure). The computation of adaptive scootability index revealed that e-scooter route preferences did vary with trip purposes. For instance, e-scooter trips to access public transit are more direct and favor streets of higher hierarchy, while leisure trips prefer scenic routes with gardens and abundant greenery. Finally, the mapping of scootability can help identify streets that require enhancements to promote e-scooter related travels.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104117"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077666","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":"Gender differences in commuting travel mode choices among young adults: A spatial heterogeneity perspective","authors":"Yang Liu ,&nbsp;Ruolan Shen ,&nbsp;Mingwei He ,&nbsp;Xuefeng Li ,&nbsp;Zhuangbin Shi","doi":"10.1016/j.jtrangeo.2025.104145","DOIUrl":"10.1016/j.jtrangeo.2025.104145","url":null,"abstract":"<div><div>Young adults of childbearing age (20–35), who are in the process of forming families and raising children while balancing career development, exhibit diverse commuting preferences shaped by gender and family responsibilities. This group is more influenced by family activity allocation and the built environment, resulting in a closer connection between their commuting mode choices and spatial locations. Understanding the spatial heterogeneity and gender disparities in their commuting mode choices is essential for promoting sustainable transportation policies and gender equality. Taking Guiyang, China as a case study, this study constructs a Geographically Weighted Multinomial Logit (GWMNL) model, integrating the multinomial logit (MNL) model with the geographically weighted regression (GWR), to explore the determinants of commuting mode choices among young adults of childbearing age across different spatial environments from three aspects: socio-economic characteristics, travel characteristics, and built environment features. The findings reveal significant variations in commuting behaviors between males and females across different spatial locations. For example, as working hours increase, males' choices of commuting modes vary depending on their residential location, although cars remain the overall preferred option. In contrast, females predominantly rely on cars, with only a few exceptions in certain areas. Additionally, in suburban and exurban areas with steeper terrains, young females of childbearing age are likely to reduce their car usage, in contrast to males who generally continue to favor cars. Based on these findings, we propose region-specific policy recommendations for both males and females to encourage young adults of childbearing age to adopt sustainable commuting practices.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104145"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146522","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":"Behavioural loyalty analysis of bus passengers using multi-source data fusion","authors":"Yu Fu,&nbsp;Xiang Wang,&nbsp;Fanrui Meng,&nbsp;Sihan Wang,&nbsp;Yangchen Song,&nbsp;Yutong Wang","doi":"10.1016/j.jtrangeo.2025.104143","DOIUrl":"10.1016/j.jtrangeo.2025.104143","url":null,"abstract":"<div><div>Bus priority has been one of the most essential measures in achieving carbon peaking and carbon neutrality. However, in some cities, while the bus system is improving, the bus passenger volume is either growing slowly or declining. This opposite trend suggests that the behavioural loyalty of bus passengers has not been ensured despite improved bus facilities. This paper aims to enhance bus travel intention by addressing varied behavioural loyalty through a combination of survey and smart card data. The travel characteristics of bus passengers are clustered into behavioural loyalty and disloyalty using the K-means++ algorithm, and the factors influencing travel intention for these two types are analyzed using the Multiple Indicators and Multiple Causes (MIMIC) model. The findings regarding travel characteristics indicate that travel frequency for all passenger types decreases gradually as travel distance increases. Notably, long travel distances have negative effects on passenger loyalty. In terms of departure time distribution, loyal passengers exhibit more pronounced morning and evening peak periods, while disloyal passengers show less distinct evening peaks. Additionally, a significant proportion of loyal passengers engage in activities lasting 8–12 h on both weekdays and weekends. Meanwhile, the MIMIC model results indicate that both punctuality and attitude have significant positive impacts on both loyal and disloyal passengers. Loyal passengers prefer efficient and comfortable bus service, while bus travel speed, metro availability, and perceived behavioural control have positive impacts on disloyal passengers. Specific strategies are proposed based on the results of travel characteristics and the MIMIC model. These results can inform special strategies for improving bus travel intention and loyalty.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104143"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396232","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":"Exploring the interplay of transport, social, and geographical disadvantages and its effect on perceived inaccessibility","authors":"Milan L. Moleman,&nbsp;Maarten Kroesen","doi":"10.1016/j.jtrangeo.2025.104151","DOIUrl":"10.1016/j.jtrangeo.2025.104151","url":null,"abstract":"<div><div>To address transport injustice and social exclusion, the needs and perceptions of different groups of individuals seem indispensable. Consequently, perceived accessibility has received a growing interest in recent years. While it is well established that transport and social disadvantages cause transport poverty and perceived inaccessibility, only recently the relevance of geographical disadvantages has been addressed.</div><div>This paper explores the idea that an individual is more likely to experience inaccessibility if they face transport, social, or geographical disadvantages in at least two of these dimensions of transport poverty. For instance, while living in a rural area or lacking the ownership of a car may not translate into low perceived access on themselves, the combination of the two might lower perceived access. To empirically assess whether and which disadvantages indeed lower perceived accessibility further, the effect of combinations of disadvantages on perceived accessibility in rural and urban areas of the Netherlands are systematically explored using a regression analysis. Data is retrieved from the Dutch National Travel Survey. This survey includes a 1-day travel diary, measures both objective and subjective accessibility, and is administered among a representative sample of the Dutch population. In total, a large and representative sample of 22,742 participants is included in the analysis.</div><div>Results highlight that rural-living individuals only perceive inaccessibility if they indeed encounter one or more transport and/or social disadvantages as well. Also, not possessing a driver's license determines perceived inaccessibility to a larger extent than a lack of car ownership. Lastly, possessing an e-bike is beneficial for the elderly in both rural and urban Dutch areas. The research findings may support policymakers and practitioners in tailoring policy interventions towards the needs of individuals who suffer from multiple disadvantages.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104151"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143418596","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}