Pub Date : 2025-12-20DOI: 10.1007/s11116-025-10710-w
Yunting Miao, Jiangping Zhou
In high-density cities, metro riders’ activities often extend beyond boundaries of one station’s typical service area (e.g., 800 m around the station), spilling into the urban spaces between adjacent stations. We define this phenomenon—where riders exit Station A, engage in non-metro everyday activities, and re-enter at a neighboring Station B—as Life between Stations (LbS). LbS transforms the urban space around and between stations into a domain of attraction. Using LbS as a proxy for vibrancy—capturing the intensity, diversity, and continuity of human activity in the space—we (a) operationalized the LbS concept and (b) analyzed its spatiotemporal patterns and influencing factors with empirical smart card and open data from Hong Kong. Based on LbS intensity, temporal dynamics, and related riders’ characteristics, we identified six distinct station-pair and/or urban-space groups: Groups 1 & 3 represented vibrant urban cores with abundant leisure and consumption opportunities. Groups 2 & 5 featured mixed-use transit corridors. Groups 4 & 6 corresponded to the urban space with limited amenities and lower degree of centrality in the local transit network. Using machine learning, we identified key factors shaping the vibrancy of all these groups: between-station distance, functional density differences (e.g., dining, shopping, and social amenities) between the two stations, historical factors, and station centrality. Our study thus introduces a novel approach to measuring urban vibrancy around and between metro stations using the increasingly prevalent smart card and open data, offering evidence-based insights for enhancing such vibrancy through conscious urban/transport planning and policy interventions.
在人口密集的城市，地铁乘客的活动通常会超出一个车站典型服务区的边界（例如，车站周围800米），蔓延到邻近车站之间的城市空间。我们将这种现象定义为站间生活（Life between Stations, LbS），即乘客离开A站，从事非地铁日常活动，然后在邻近的b站重新进入。LbS将车站周围和车站之间的城市空间转变为一个吸引人的领域。利用地理位置作为活力的代表——捕捉空间中人类活动的强度、多样性和连续性——我们(a)对地理位置概念进行了操作，(b)利用香港的经验智能卡和开放数据分析了地理位置的时空格局和影响因素。基于LbS强度、时间动态和相关乘客特征，我们确定了6个不同的站点对和/或城市空间组：组1和组3代表了充满活力的城市核心，拥有丰富的休闲和消费机会。第2组和第5组以混合用途的交通走廊为特色。第4组和第6组对应的城市空间设施有限，在当地交通网络中中心度较低。通过机器学习，我们确定了影响所有这些群体活力的关键因素：车站之间的距离、两个车站之间的功能密度差异（例如，餐饮、购物和社会设施）、历史因素和车站中心性。因此，我们的研究引入了一种利用日益普及的智能卡和开放数据来衡量地铁站周围和地铁站之间的城市活力的新方法，为通过有意识的城市/交通规划和政策干预来增强这种活力提供了基于证据的见解。
{"title":"Vibrancy of the space around and between metro stations: Life between Stations and its determinants in Hong Kong","authors":"Yunting Miao, Jiangping Zhou","doi":"10.1007/s11116-025-10710-w","DOIUrl":"https://doi.org/10.1007/s11116-025-10710-w","url":null,"abstract":"In high-density cities, metro riders’ activities often extend beyond boundaries of one station’s typical service area (e.g., 800 m around the station), spilling into the urban spaces between adjacent stations. We define this phenomenon—where riders exit Station A, engage in non-metro everyday activities, and re-enter at a neighboring Station B—as Life between Stations (LbS). LbS transforms the urban space around and between stations into a domain of attraction. Using LbS as a proxy for vibrancy—capturing the intensity, diversity, and continuity of human activity in the space—we (a) operationalized the LbS concept and (b) analyzed its spatiotemporal patterns and influencing factors with empirical smart card and open data from Hong Kong. Based on LbS intensity, temporal dynamics, and related riders’ characteristics, we identified six distinct station-pair and/or urban-space groups: Groups 1 & 3 represented vibrant urban cores with abundant leisure and consumption opportunities. Groups 2 & 5 featured mixed-use transit corridors. Groups 4 & 6 corresponded to the urban space with limited amenities and lower degree of centrality in the local transit network. Using machine learning, we identified key factors shaping the vibrancy of all these groups: between-station distance, functional density differences (e.g., dining, shopping, and social amenities) between the two stations, historical factors, and station centrality. Our study thus introduces a novel approach to measuring urban vibrancy around and between metro stations using the increasingly prevalent smart card and open data, offering evidence-based insights for enhancing such vibrancy through conscious urban/transport planning and policy interventions.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"67 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796031","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}
Pub Date : 2025-12-12DOI: 10.1007/s11116-025-10708-4
Suxia Gong, Ismaïl Saadi, Jacques Teller, Mario Cools
This study evaluates the comparability of aggregated mobile phone data (MPD) derived from passive network signalling events and traditional travel survey data for urban transport planning, using the province of Liège as a case study. Our analysis demonstrates that while MPD captures a higher density of origin–destination (OD) connections, it cannot fully replicate all flows observed in surveys, underscoring the need for a complementary approach between the two data sources. Key mobility indicators, including average trip rates, hourly trip volumes, and structural patterns in daily OD matrices, show strong alignment. This structural similarity is rigorously quantified using a Mean Structural Similarity Index with a distance decay effect. Furthermore, Kolmogorov-Smirnov tests confirm comparable trip length distributions between the sources. While MPD-based population estimates closely match official 3:00 AM census counts, discrepancies in specific zones highlight potential pitfalls for real-time population mapping. Our findings confirm that MPD provides a robust and valuable complement to traditional surveys, particularly in contexts with limited or infrequent survey data. The study offers critical insights for integrating MPD into urban policy planning, emphasizing its utility for validation and its caveats for population estimation.
{"title":"A comparative analysis of mobile phone data and travel surveys in understanding travel behaviour","authors":"Suxia Gong, Ismaïl Saadi, Jacques Teller, Mario Cools","doi":"10.1007/s11116-025-10708-4","DOIUrl":"https://doi.org/10.1007/s11116-025-10708-4","url":null,"abstract":"This study evaluates the comparability of aggregated mobile phone data (MPD) derived from passive network signalling events and traditional travel survey data for urban transport planning, using the province of Liège as a case study. Our analysis demonstrates that while MPD captures a higher density of origin–destination (OD) connections, it cannot fully replicate all flows observed in surveys, underscoring the need for a complementary approach between the two data sources. Key mobility indicators, including average trip rates, hourly trip volumes, and structural patterns in daily OD matrices, show strong alignment. This structural similarity is rigorously quantified using a Mean Structural Similarity Index with a distance decay effect. Furthermore, Kolmogorov-Smirnov tests confirm comparable trip length distributions between the sources. While MPD-based population estimates closely match official 3:00 AM census counts, discrepancies in specific zones highlight potential pitfalls for real-time population mapping. Our findings confirm that MPD provides a robust and valuable complement to traditional surveys, particularly in contexts with limited or infrequent survey data. The study offers critical insights for integrating MPD into urban policy planning, emphasizing its utility for validation and its caveats for population estimation.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"362 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145752829","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}
Pub Date : 2025-12-06DOI: 10.1007/s11116-025-10691-w
Tong Zhang, Dawei Li, Yuchen Song, Xiaowei Jiang
{"title":"Modeling activity capacity of multimodal transportation network: a bi-level optimization framework with land use constraints","authors":"Tong Zhang, Dawei Li, Yuchen Song, Xiaowei Jiang","doi":"10.1007/s11116-025-10691-w","DOIUrl":"https://doi.org/10.1007/s11116-025-10691-w","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"28 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680426","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}
Pub Date : 2025-12-06DOI: 10.1007/s11116-025-10704-8
Pei-Ju Wu
{"title":"Can the environmental policies of transport and logistics enhance their economic viability?","authors":"Pei-Ju Wu","doi":"10.1007/s11116-025-10704-8","DOIUrl":"https://doi.org/10.1007/s11116-025-10704-8","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"1 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680425","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}
Pub Date : 2025-12-04DOI: 10.1007/s11116-025-10696-5
Janina Welsch, Giulio Mattioli
People with a migration background and/or who belong to ethnic minorities tend to have different travel behaviour, mainly in terms of lower car use. A better understanding of this nexus is needed, yet there is a lack of quantitative studies on this topic from the United Kingdom. We fill this gap by analysing data from the 2018–2019 wave of the UK Household Longitudinal Survey. With ordinal regression models, we investigate the impact of migration generation and belonging to ethnic minorities on the frequency of car, bus, and bicycle use. We explore to what extent these associations are accounted for by differences in socio-demographic and -economic characteristics, residential location, and accessibility at neighbourhood level, driving licence and access to a car, while also exploring ethnic neighbourhood effects. Our results show that travel behaviour varies substantially depending on migration background and ethnicity, with the latter playing a larger role. Nevertheless, many of these differences are accounted for by socio-economic and residential characteristics. We find evidence of a net association between certain ethnic groups and travel mode use, e.g., lower than expected levels of cycling among participants that identify themselves as “Asian or Asian British” or “Black or Black British”, and higher levels of bus use among “Black or Black British”. We interpret these as suggestive of differences in cultural attitudes and socialisation. We find suggestive evidence of transport assimilation effects, but only little evidence of ethnic neighbourhood effects. We discuss our findings in the context of debates on sustainable transport and transport-related inequalities.
{"title":"The impact of migration background and ethnicity on car, bus and bicycle use in England","authors":"Janina Welsch, Giulio Mattioli","doi":"10.1007/s11116-025-10696-5","DOIUrl":"https://doi.org/10.1007/s11116-025-10696-5","url":null,"abstract":"People with a migration background and/or who belong to ethnic minorities tend to have different travel behaviour, mainly in terms of lower car use. A better understanding of this nexus is needed, yet there is a lack of quantitative studies on this topic from the United Kingdom. We fill this gap by analysing data from the 2018–2019 wave of the UK Household Longitudinal Survey. With ordinal regression models, we investigate the impact of migration generation and belonging to ethnic minorities on the frequency of car, bus, and bicycle use. We explore to what extent these associations are accounted for by differences in socio-demographic and -economic characteristics, residential location, and accessibility at neighbourhood level, driving licence and access to a car, while also exploring ethnic neighbourhood effects. Our results show that travel behaviour varies substantially depending on migration background and ethnicity, with the latter playing a larger role. Nevertheless, many of these differences are accounted for by socio-economic and residential characteristics. We find evidence of a net association between certain ethnic groups and travel mode use, e.g., lower than expected levels of cycling among participants that identify themselves as “Asian or Asian British” or “Black or Black British”, and higher levels of bus use among “Black or Black British”. We interpret these as suggestive of differences in cultural attitudes and socialisation. We find suggestive evidence of transport assimilation effects, but only little evidence of ethnic neighbourhood effects. We discuss our findings in the context of debates on sustainable transport and transport-related inequalities.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"14 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680427","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}
Pub Date : 2025-12-02DOI: 10.1007/s11116-025-10700-y
Tianze Xu, Lunrui Zhang, Xian Du, Leilei Li
{"title":"Dynamic user optimal simultaneous departure time and route choice with inflow, outflow, and density constraints","authors":"Tianze Xu, Lunrui Zhang, Xian Du, Leilei Li","doi":"10.1007/s11116-025-10700-y","DOIUrl":"https://doi.org/10.1007/s11116-025-10700-y","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"71 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657763","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}
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