Pub Date : 2025-01-09DOI: 10.1016/j.jtrangeo.2025.104112
Rui An, Zhaomin Tong, Bo Tan, Qiangqiang Xiong, Yuanyuan Luo, Yaolin Liu, Linchuan Yang, Xiping Yang
Transit-oriented development encourages metropolises to alleviate jobs-housing separation (JHS) by optimizing the built environment (BE). Researchers have found that BE exerts different effects on home- and work-oriented JHS, but their statistical models ignored the nonlinear and spatially nonstationary features of the relationship. In this study, we collected location-based service data to identify commuters and aggregated them to 188 metro station areas from a home or work orientation. We then defined a parameter β to measure JHS following the distance decay law, added three-dimensional (3D) indicators to the “Node-Place-Function” system to describe the BE, and applied the LightGBM-SHAP after multi-model comparison to learn and visualize their complex relationships. We identified three types of BE variables: 1) exhibiting important effects only on one orientation, 2) exhibiting similar effects on two orientations, and 3) exhibiting opposite effects on two orientations. Particularly, we designed a new visualization framework for SHAP that synergizes nonlinear dependency with the spatial distribution, which can provide threshold targets and spatial ranges for policy regulation simultaneously. For example, Hanyang should increase its shared bicycle density to 900 vehicles/km2 to meet the travel needs of residents, while Jianghan should provide affordable housing (<180,00 yuan/m2) to meet the housing needs of workers. Our findings aim to encourage planners to consider nonlinear determined thresholds in regulating actual spaces, which can directly support the refined urban management under limited resource condition.
{"title":"Revealing the relationship between 2D/3D built environment and jobs-housing separation coupling nonlinearity and spatial nonstationarity","authors":"Rui An, Zhaomin Tong, Bo Tan, Qiangqiang Xiong, Yuanyuan Luo, Yaolin Liu, Linchuan Yang, Xiping Yang","doi":"10.1016/j.jtrangeo.2025.104112","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2025.104112","url":null,"abstract":"Transit-oriented development encourages metropolises to alleviate jobs-housing separation (JHS) by optimizing the built environment (BE). Researchers have found that BE exerts different effects on home- and work-oriented JHS, but their statistical models ignored the nonlinear and spatially nonstationary features of the relationship. In this study, we collected location-based service data to identify commuters and aggregated them to 188 metro station areas from a home or work orientation. We then defined a parameter β to measure JHS following the distance decay law, added three-dimensional (3D) indicators to the “Node-Place-Function” system to describe the BE, and applied the LightGBM-SHAP after multi-model comparison to learn and visualize their complex relationships. We identified three types of BE variables: 1) exhibiting important effects only on one orientation, 2) exhibiting similar effects on two orientations, and 3) exhibiting opposite effects on two orientations. Particularly, we designed a new visualization framework for SHAP that synergizes nonlinear dependency with the spatial distribution, which can provide threshold targets and spatial ranges for policy regulation simultaneously. For example, Hanyang should increase its shared bicycle density to 900 vehicles/km<ce:sup loc=\"post\">2</ce:sup> to meet the travel needs of residents, while Jianghan should provide affordable housing (<180,00 yuan/m<ce:sup loc=\"post\">2</ce:sup>) to meet the housing needs of workers. Our findings aim to encourage planners to consider nonlinear determined thresholds in regulating actual spaces, which can directly support the refined urban management under limited resource condition.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"7 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968036","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 : 2025-01-08DOI: 10.1016/j.jtrangeo.2025.104113
Dehao Shi, Lei Wang, Xianchun Zhang, Tao Yu
While the externalities of urban size on regional transportation infrastructure effects have been extensively discussed, the role of urban administrative power has received comparatively less scholarly attention. This study delves into the impact of high-speed rail (HSR) development on urban industrial upgrading and regional development, focusing on both economic and administrative externalities. By applying the concepts of ‘borrowed size’ and ‘agglomeration shadow,’ we analyze the effects of HSR on industrial upgrading in the Yangtze River Delta (YRD) region using panel data from 199 county-level units between 2000 and 2017. Employing multi-stage difference-in-differences (DID) and difference-in-difference-in-differences (DDD) models, our findings reveal that HSR significantly catalyzes industrial upgrading in the YRD, with a notable reduction in the output value of the secondary sector by 4.4 % and an expansion of the tertiary sector by 7.4 %. Additionally, this study indicates a positive correlation between urban size and manufacturing sector exit, while administrative power enhances the service sector's concentration in HSR-connected regions. These findings not only contribute to the existing body of scholarship on HSR's role in industrial upgrading but also advance a novel methodological approach that bridges transport geography and urban political economy through the lens of transport infrastructure as a mediating mechanism.
{"title":"Borrowed size and borrowed administrative power: Effects of high-speed rail network on industrial upgrading and variegated externalities in the Yangtze River Delta, China","authors":"Dehao Shi, Lei Wang, Xianchun Zhang, Tao Yu","doi":"10.1016/j.jtrangeo.2025.104113","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2025.104113","url":null,"abstract":"While the externalities of urban size on regional transportation infrastructure effects have been extensively discussed, the role of urban administrative power has received comparatively less scholarly attention. This study delves into the impact of high-speed rail (HSR) development on urban industrial upgrading and regional development, focusing on both economic and administrative externalities. By applying the concepts of ‘borrowed size’ and ‘agglomeration shadow,’ we analyze the effects of HSR on industrial upgrading in the Yangtze River Delta (YRD) region using panel data from 199 county-level units between 2000 and 2017. Employing multi-stage difference-in-differences (DID) and difference-in-difference-in-differences (DDD) models, our findings reveal that HSR significantly catalyzes industrial upgrading in the YRD, with a notable reduction in the output value of the secondary sector by 4.4 % and an expansion of the tertiary sector by 7.4 %. Additionally, this study indicates a positive correlation between urban size and manufacturing sector exit, while administrative power enhances the service sector's concentration in HSR-connected regions. These findings not only contribute to the existing body of scholarship on HSR's role in industrial upgrading but also advance a novel methodological approach that bridges transport geography and urban political economy through the lens of transport infrastructure as a mediating mechanism.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"84 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968039","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 : 2025-01-08DOI: 10.1016/j.jtrangeo.2024.104109
Gina Porter, Emma Murphy, Fatima Adamu, Plangsat Bitrus Dayil, Claire Dungey, Bulelani Maskiti, Ariane de Lannoy, Sam Clark, Hadiza Ahmad, Mshelia Jummai Yahaya
The relationship between women's everyday lived travel experiences as daily commuters and their employment history and potential has not been adequately researched and documented in African contexts. This multidisciplinary study, utilising an innovative action research methodology, compares experiences of young women (18-35y) resident in low-income neighbourhoods of three diverse African cities - Abuja, Cape Town and Tunis. It examines the challenges they face when undertaking travel to income-earning opportunities, the tactics necessary to enable travel with a modicum of safety and dignity, and the ongoing implications for women's employment trajectories and wider well-being. Two (often inter-related) themes occupy a central position in the discussion: mobility scheduling (as a response to domestic/care responsibilities and trip-chaining requirements) and experiences of harassment.
{"title":"Young women's travel safety and the journey to work: Reflecting on lived experiences of precarious mobility in three African cities (and the potential for transformative action)","authors":"Gina Porter, Emma Murphy, Fatima Adamu, Plangsat Bitrus Dayil, Claire Dungey, Bulelani Maskiti, Ariane de Lannoy, Sam Clark, Hadiza Ahmad, Mshelia Jummai Yahaya","doi":"10.1016/j.jtrangeo.2024.104109","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104109","url":null,"abstract":"The relationship between women's everyday lived travel experiences as daily commuters and their employment history and potential has not been adequately researched and documented in African contexts. This multidisciplinary study, utilising an innovative action research methodology, compares experiences of young women (18-35y) resident in low-income neighbourhoods of three diverse African cities - Abuja, Cape Town and Tunis. It examines the challenges they face when undertaking travel to income-earning opportunities, the tactics necessary to enable travel with a modicum of safety and dignity, and the ongoing implications for women's employment trajectories and wider well-being. Two (often inter-related) themes occupy a central position in the discussion: mobility scheduling (as a response to domestic/care responsibilities and trip-chaining requirements) and experiences of harassment.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"40 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968040","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 : 2025-01-08DOI: 10.1016/j.jtrangeo.2025.104114
Liang Ma, Yan Huang, Wenqian Shi, Jian Lin
Commuting is commonly perceived as a burdensome aspect of daily life, with adverse effects on individuals' physical and mental well-being and social interactions. Existing “search theory” suggests that people make decisions about job searches and home relocations by weighing the costs of commuting against the potential benefits, such as increased income and improved living conditions. However, few studies have thoroughly examined how and to what extent commuting influences home relocation and job mobility. Addressing this gap is essential for gaining a deeper understanding of the complex relationship between commuting and job-housing arrangements, and for informing policies aimed at improving urban spatial layouts, housing, and transportation services. This study uses four waves of longitudinal data on urban commuters in China to analyze the effects of commuting time on job move and home relocation through panel multinomial logistic regression models. It also explores the role of life and job satisfaction in this relationship. The findings reveal a significant association between longer commuting times and job mobility, particularly in cities with urban populations exceeding five million. Conversely, no statistically significant correlation is found between commuting time and home relocations. Longer commuting times are associated with decreased job satisfaction, which in turn increases the likelihood of changing jobs. Additionally, the study identifies a critical tolerance threshold for commuting time, noting an increased propensity for job changes when commuting exceeds 30 min. These insights contribute new knowledge on commuting dynamics and the intricate relationship between employment and housing.
{"title":"Relocating home or changing job? The impact of long commuting","authors":"Liang Ma, Yan Huang, Wenqian Shi, Jian Lin","doi":"10.1016/j.jtrangeo.2025.104114","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2025.104114","url":null,"abstract":"Commuting is commonly perceived as a burdensome aspect of daily life, with adverse effects on individuals' physical and mental well-being and social interactions. Existing “search theory” suggests that people make decisions about job searches and home relocations by weighing the costs of commuting against the potential benefits, such as increased income and improved living conditions. However, few studies have thoroughly examined how and to what extent commuting influences home relocation and job mobility. Addressing this gap is essential for gaining a deeper understanding of the complex relationship between commuting and job-housing arrangements, and for informing policies aimed at improving urban spatial layouts, housing, and transportation services. This study uses four waves of longitudinal data on urban commuters in China to analyze the effects of commuting time on job move and home relocation through panel multinomial logistic regression models. It also explores the role of life and job satisfaction in this relationship. The findings reveal a significant association between longer commuting times and job mobility, particularly in cities with urban populations exceeding five million. Conversely, no statistically significant correlation is found between commuting time and home relocations. Longer commuting times are associated with decreased job satisfaction, which in turn increases the likelihood of changing jobs. Additionally, the study identifies a critical tolerance threshold for commuting time, noting an increased propensity for job changes when commuting exceeds 30 min. These insights contribute new knowledge on commuting dynamics and the intricate relationship between employment and housing.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"27 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968038","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 : 2025-01-06DOI: 10.1016/j.jtrangeo.2024.104107
Ming Yin, Yuqi Fan, Yu Wang
TOD-ness, defined as the extent to which the existing conditions of TOD sites align with established TOD standards, has been shown in previous studies to have a significant correlation with metro station ridership. This paper utilizes the LightGBM model to investigate the relationship between TOD-ness and the “early recovery” of metro station ridership following the lifting of COVID-19 control measures. The study findings show: (1) At the line level, metro ridership in Nanjing has significantly rebounded following the lifting of COVID-19 control measures, particularly for non-commuting and weekend travel. At the station level, external transport hubs and major city center stations experienced the most notable recovery in ridership, while secondary urban center stations saw relatively higher increases in weekend ridership. (2) In terms of TOD-ness typology, stations with higher overall indicators and node indicators exhibited a greater number of ridership recoveries. (3) Regarding the relative importance of different indicators, factors related to place and design—such as functional mix, road network density, POI density of residences, and pedestrian shed ratio—are the more important drivers of ridership recovery for both commuting and non-commuting purposes. However, non-commuting ridership recovery is more influenced by station location and functional diversity, whereas commuting ridership recovery is more closely associated with ease of access.
TOD-ness 是指 TOD 站点的现有条件符合既定 TOD 标准的程度，以往的研究表明，TOD-ness 与地铁站乘客量有显著的相关性。本文利用 LightGBM 模型研究了 TOD 与 COVID-19 控制措施解除后地铁站乘客量 "早期恢复 "之间的关系。研究结果表明：(1) 在线路层面，COVID-19 管制措施解除后，南京地铁客流明显回升，尤其是非通勤客流和周末客流。在车站层面，对外交通枢纽和主要城市中心站的乘客量回升最为明显，而城市副中心站周末乘客量的增幅相对较高。(2）从 TOD 的类型来看，综合指标和节点指标较高的车站乘客量恢复的数量较多。(3) 就不同指标的相对重要性而言，与地点和设计相关的因素，如功能组合、路网密度、住宅 POI 密度和步行棚比例，是通勤和非通勤乘客量恢复的更重要驱动因素。然而，非通勤乘客量的恢复受车站位置和功能多样性的影响更大，而通勤乘客量的恢复与交通便利性的关系更为密切。
{"title":"Can TOD help metro station ridership ‘early recovery’ from COVID-19? An empirical evidence from Nanjing","authors":"Ming Yin, Yuqi Fan, Yu Wang","doi":"10.1016/j.jtrangeo.2024.104107","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104107","url":null,"abstract":"TOD-ness, defined as the extent to which the existing conditions of TOD sites align with established TOD standards, has been shown in previous studies to have a significant correlation with metro station ridership. This paper utilizes the LightGBM model to investigate the relationship between TOD-ness and the “early recovery” of metro station ridership following the lifting of COVID-19 control measures. The study findings show: (1) At the line level, metro ridership in Nanjing has significantly rebounded following the lifting of COVID-19 control measures, particularly for non-commuting and weekend travel. At the station level, external transport hubs and major city center stations experienced the most notable recovery in ridership, while secondary urban center stations saw relatively higher increases in weekend ridership. (2) In terms of TOD-ness typology, stations with higher overall indicators and node indicators exhibited a greater number of ridership recoveries. (3) Regarding the relative importance of different indicators, factors related to place and design—such as functional mix, road network density, POI density of residences, and pedestrian shed ratio—are the more important drivers of ridership recovery for both commuting and non-commuting purposes. However, non-commuting ridership recovery is more influenced by station location and functional diversity, whereas commuting ridership recovery is more closely associated with ease of access.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"1 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968041","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}
Ride-hailing services offer practical solutions for addressing “first- and last-mile” connectivity challenges at metro stations. While previous research has explored the spatiotemporal patterns of metro station-based ride-hailing ridership (MBRR) on weekdays and weekends, it has largely overlooked the unique dynamics of holiday periods. Furthermore, the influence of the built environment on first-mile MBRR (FM-MBRR) and last-mile MBRR (LM-MBRR) has received insufficient attention. To address these gaps, this study investigates the characteristics of MBRR across regular weekdays, weekends, Valentine's Day, and the Spring Festival. We employed ordinary least squares (OLS) and spatial lag regression (SLR) models to analyze the impact of the built environment on MBRR at the station level. Using data from Shenzhen, our findings reveal that: 1) Metro station-based ride-hailing is predominantly used for accessing metro stations, with FM-MBRR consistently exceeding LM-MBRR. 2) The Spring Festival results in a decrease in MBRR, while Valentine's Day exhibits an increase in post-work activity and nighttime MBRR. 3) On Valentine's Day, travel distance positively influences FM-MBRR, reflecting longer ride-hailing trips for holiday-related activities. During the Spring Festival, tourist attractions significantly influence both FM-MBRR and LM-MBRR, highlighting the role of tourism in shaping holiday mobility patterns. These findings provide valuable insights for integrating ride-hailing services with metro systems, emphasizing the need to account for holiday-specific dynamics and local built environment characteristics in urban transportation planning.
{"title":"Exploring spatiotemporal characteristics of ride-hailing ridership connecting with metro stations: A comparative analysis of holidays, weekdays, and weekends","authors":"Zhitao Li, Fan Gao, Jingjing Hao, Jian Liang, Chunyang Han, Jinjun Tang","doi":"10.1016/j.jtrangeo.2024.104104","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104104","url":null,"abstract":"Ride-hailing services offer practical solutions for addressing “first- and last-mile” connectivity challenges at metro stations. While previous research has explored the spatiotemporal patterns of metro station-based ride-hailing ridership (MBRR) on weekdays and weekends, it has largely overlooked the unique dynamics of holiday periods. Furthermore, the influence of the built environment on first-mile MBRR (FM-MBRR) and last-mile MBRR (LM-MBRR) has received insufficient attention. To address these gaps, this study investigates the characteristics of MBRR across regular weekdays, weekends, Valentine's Day, and the Spring Festival. We employed ordinary least squares (OLS) and spatial lag regression (SLR) models to analyze the impact of the built environment on MBRR at the station level. Using data from Shenzhen, our findings reveal that: 1) Metro station-based ride-hailing is predominantly used for accessing metro stations, with FM-MBRR consistently exceeding LM-MBRR. 2) The Spring Festival results in a decrease in MBRR, while Valentine's Day exhibits an increase in post-work activity and nighttime MBRR. 3) On Valentine's Day, travel distance positively influences FM-MBRR, reflecting longer ride-hailing trips for holiday-related activities. During the Spring Festival, tourist attractions significantly influence both FM-MBRR and LM-MBRR, highlighting the role of tourism in shaping holiday mobility patterns. These findings provide valuable insights for integrating ride-hailing services with metro systems, emphasizing the need to account for holiday-specific dynamics and local built environment characteristics in urban transportation planning.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"25 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929306","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 : 2024-12-30DOI: 10.1016/j.jtrangeo.2024.104108
Yanchao Wang, Xiangyang Guan, Ekin Ugurel, Cynthia Chen, Shuai Huang, Qi R. Wang
Passively generated mobile data has increasingly become a crucial source for studying human mobility; however, research addressing potential biases within these datasets remains scarce. This study delves into the critical issue of inherent biases in mobile data, a resource that has transformed the study of human mobility. Using a well-established mobile dataset, we analyze biases in 11 diverse metropolitan statistical areas (MSAs) and spotlight disparities in data quality and mobility metric biases, as compared to the National Household Travel Survey (NHTS). A two-level hierarchical linear regression model unveils the contributing factors to these biases, most notably, data quality, user sociodemographic traits, and city sizes. We further highlight the unexpected introduction of uncertainty by stay-point algorithms during data processing. The findings of our research underscore the necessity of meticulously identifying, understanding, and mitigating such biases in mobile data before its deployment in shaping transportation policies and investments. Ultimately, our study advances our understanding of bias in mobility data, which is a fundamental step towards refining methodologies that can effectively address these biases, thereby enhance the value and accuracy of mobile data in transportation studies.
{"title":"Exploring biases in travel behavior patterns in big passively generated mobile data from 11 U.S. cities","authors":"Yanchao Wang, Xiangyang Guan, Ekin Ugurel, Cynthia Chen, Shuai Huang, Qi R. Wang","doi":"10.1016/j.jtrangeo.2024.104108","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104108","url":null,"abstract":"Passively generated mobile data has increasingly become a crucial source for studying human mobility; however, research addressing potential biases within these datasets remains scarce. This study delves into the critical issue of inherent biases in mobile data, a resource that has transformed the study of human mobility. Using a well-established mobile dataset, we analyze biases in 11 diverse metropolitan statistical areas (MSAs) and spotlight disparities in data quality and mobility metric biases, as compared to the National Household Travel Survey (NHTS). A two-level hierarchical linear regression model unveils the contributing factors to these biases, most notably, data quality, user sociodemographic traits, and city sizes. We further highlight the unexpected introduction of uncertainty by stay-point algorithms during data processing. The findings of our research underscore the necessity of meticulously identifying, understanding, and mitigating such biases in mobile data before its deployment in shaping transportation policies and investments. Ultimately, our study advances our understanding of bias in mobility data, which is a fundamental step towards refining methodologies that can effectively address these biases, thereby enhance the value and accuracy of mobile data in transportation studies.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"27 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929307","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}
Liquefied natural gas (LNG), as a transitional fossil fuel, plays a vital role in the modern energy transition process. In the context of the Russia–Ukraine geopolitical conflict, studying the evolution pattern and mechanisms of LNG trade networks is crucial for maintaining global energy security, particularly for countries relying on LNG imports. The study is based on multisource big data from 2021 to 2022, including Automatic Identification System (AIS) data, Gdelt news data, and remote sensing satellite data. It utilizes complex network metrics and the temporal exponential random graph model (TERGM) method to analyze the evolution patterns and mechanisms of the global LNG trade network. The research findings indicate the following: (1) The Russia–Ukraine conflict has led to a significant increase in LNG imports by European countries. Many countries have opened temporary direct shipping routes, which has accelerated the decline in the average path length of the network and improved network efficiency. (2) The global LNG trade community trend has been strengthened by the Russia–Ukraine conflict. The number of members within the trading community in which the United States is located has increased, with some European countries moving into this community. (3) The reciprocal structural characteristics of the LNG trade network drive its development, and the expansion of the national port handling capacity ability also drives network growth. Conversely, large differences in geopolitical relations, culture, and levels of governance between countries can hinder global LNG network development. This study provides a theoretical basis and decision-making reference for energy security under major geopolitical conflicts.
{"title":"Liquefied natural gas trade network changes and its mechanism in the context of the Russia–Ukraine conflict","authors":"Renrong Xiao, Pengjun Zhao, Kangzheng Huang, Tianyu Ma, Zhangyuan He, Caixia Zhang, Di Lyu","doi":"10.1016/j.jtrangeo.2024.104101","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104101","url":null,"abstract":"Liquefied natural gas (LNG), as a transitional fossil fuel, plays a vital role in the modern energy transition process. In the context of the Russia–Ukraine geopolitical conflict, studying the evolution pattern and mechanisms of LNG trade networks is crucial for maintaining global energy security, particularly for countries relying on LNG imports. The study is based on multisource big data from 2021 to 2022, including Automatic Identification System (AIS) data, Gdelt news data, and remote sensing satellite data. It utilizes complex network metrics and the temporal exponential random graph model (TERGM) method to analyze the evolution patterns and mechanisms of the global LNG trade network. The research findings indicate the following: (1) The Russia–Ukraine conflict has led to a significant increase in LNG imports by European countries. Many countries have opened temporary direct shipping routes, which has accelerated the decline in the average path length of the network and improved network efficiency. (2) The global LNG trade community trend has been strengthened by the Russia–Ukraine conflict. The number of members within the trading community in which the United States is located has increased, with some European countries moving into this community. (3) The reciprocal structural characteristics of the LNG trade network drive its development, and the expansion of the national port handling capacity ability also drives network growth. Conversely, large differences in geopolitical relations, culture, and levels of governance between countries can hinder global LNG network development. This study provides a theoretical basis and decision-making reference for energy security under major geopolitical conflicts.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"54 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142889312","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 : 2024-12-26DOI: 10.1016/j.jtrangeo.2024.104100
Bahar Ferah
The Phenomenological approach of the research addresses the micro problems of visually impaired individuals regarding wayfinding in a familiar large-scale environment. The paper’s main objective is to understand how a large-scale urban context becomes familiar to a visually impaired individual. Also, it explores the impact of environmental cognition on enhancing visually impaired individuals’ spatial inferences in wayfinding. Cognitive mapping, as an effective method of wayfinding, has been used to improve these individuals independence and mobility capability in wayfinding. The paper’s conceptual framework queries pessimistic views elaborated initially by the (Fletcher, 1980) theory and underlying in most studies (implicitly or explicitly) about the spatial abilities of visually impaired individuals, both congenitally and adventitiously adult ones, concerning deficiency, inefficiency, and also difference model in a real, local example. Accordingly, based on the qualitative research method, in-situ fieldwork in the Istanbul Kadikoy area was conducted, where the Visually Impaired Association, a familiar place for all participants, is located. Eleven congenitally and adventitiously visually impaired individuals participated during the fieldwork. The subjects' wayfinding manner was monitored from the Eminonu-Kadikoy pier to the Association (approximately 650 m). Accordingly, they were asked to draw their cognitive maps. Furthermore, photo–video documentation was collected during the drawing. Based on the findings of participants' cognitive maps, spatial inferences of them, no matter whether congenital or adventitiously vision-impaired, were determined with almost similar marked points in the aerial map; even more details stood out from participants' piecemeal exploration habits. Based on the findings of the cognitive maps, the study highlights the difference model of Fletcher. It emphasizes that visually impaired individuals use different methods of wayfinding. The review intends to ensure vision-impaired individuals' strong intuition cognition in finding their way. This feature reveals a framework for interpreting the significance of non-visual perception and environmental cognition as well as visual perception and spatial cognition acquisition in urban planning designs.
{"title":"Spatial inferences of visually impaired individuals concerning wayfinding: a case study of Istanbul’s Kadikoy area","authors":"Bahar Ferah","doi":"10.1016/j.jtrangeo.2024.104100","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104100","url":null,"abstract":"The Phenomenological approach of the research addresses the micro problems of visually impaired individuals regarding wayfinding in a familiar large-scale environment. The paper’s main objective is to understand how a large-scale urban context becomes familiar to a visually impaired individual. Also, it explores the impact of environmental cognition on enhancing visually impaired individuals’ spatial inferences in wayfinding. Cognitive mapping, as an effective method of wayfinding, has been used to improve these individuals independence and mobility capability in wayfinding. The paper’s conceptual framework queries pessimistic views elaborated initially by the (Fletcher, 1980) theory and underlying in most studies (implicitly or explicitly) about the spatial abilities of visually impaired individuals, both congenitally and adventitiously adult ones, concerning deficiency, inefficiency, and also difference model in a real, local example. Accordingly, based on the qualitative research method, in-situ fieldwork in the Istanbul Kadikoy area was conducted, where the Visually Impaired Association, a familiar place for all participants, is located. Eleven congenitally and adventitiously visually impaired individuals participated during the fieldwork. The subjects' wayfinding manner was monitored from the Eminonu-Kadikoy pier to the Association (approximately 650 m). Accordingly, they were asked to draw their cognitive maps. Furthermore, photo–video documentation was collected during the drawing. Based on the findings of participants' cognitive maps, spatial inferences of them, no matter whether congenital or adventitiously vision-impaired, were determined with almost similar marked points in the aerial map; even more details stood out from participants' piecemeal exploration habits. Based on the findings of the cognitive maps, the study highlights the difference model of Fletcher. It emphasizes that visually impaired individuals use different methods of wayfinding. The review intends to ensure vision-impaired individuals' strong intuition cognition in finding their way. This feature reveals a framework for interpreting the significance of non-visual perception and environmental cognition as well as visual perception and spatial cognition acquisition in urban planning designs.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"67 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142889393","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 : 2024-12-24DOI: 10.1016/j.jtrangeo.2024.104105
Long Cheng, Yuheng Chen, Shengyu He, Zheyuan Wang, Tanhua Jin, Min Yang
High-speed rail (HSR) stations, as a crucial connectivity node within a city, can effectively serve the population in the city and stimulate economic growth. Therefore, there is an urgent need to enhance the accessibility of HSR stations to various areas within the city. Despite this, most research tends to focus on local and regional transportation stations, with a lack of research on the accessibility of HSR stations on a national scale. Additionally, most research tends to focus exclusively on the accessibility of these stations via either public transit or cars, often overlooking a holistic comparison of both transportation modes. This study aims to bridge this gap by assessing the accessibility of high-speed rail stations across 31 provincial capitals in mainland China, utilizing travel time estimation data sourced from online mapping. We measured the number of grid cells accessible to passengers by car and public transit within a given time threshold. To identify the influencing factors, we conducted a two-sample t-test. Our analysis reveals that cars typically provide superior accessibility compared to public transit. Moreover, we find significant variability in public transit accessibility among these cities. Medium and smaller cities exhibit notably lower levels of public transit accessibility than large cities, and mountainous cities face further reductions due to challenging terrain. Key factors contributing to these accessibility disparities are identified, leading to several policy recommendations aimed at enhancing public transit systems. These include expanding bus service coverage, improving transport infrastructure, introducing microcirculation bus routes, and further developing rail transit networks to better serve urban populations and integrate them more effectively with high-speed rail services.
{"title":"Comparing accessibility to high-speed rail stations by public transit and cars: A national-scale analysis","authors":"Long Cheng, Yuheng Chen, Shengyu He, Zheyuan Wang, Tanhua Jin, Min Yang","doi":"10.1016/j.jtrangeo.2024.104105","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104105","url":null,"abstract":"High-speed rail (HSR) stations, as a crucial connectivity node within a city, can effectively serve the population in the city and stimulate economic growth. Therefore, there is an urgent need to enhance the accessibility of HSR stations to various areas within the city. Despite this, most research tends to focus on local and regional transportation stations, with a lack of research on the accessibility of HSR stations on a national scale. Additionally, most research tends to focus exclusively on the accessibility of these stations via either public transit or cars, often overlooking a holistic comparison of both transportation modes. This study aims to bridge this gap by assessing the accessibility of high-speed rail stations across 31 provincial capitals in mainland China, utilizing travel time estimation data sourced from online mapping. We measured the number of grid cells accessible to passengers by car and public transit within a given time threshold. To identify the influencing factors, we conducted a two-sample <ce:italic>t</ce:italic>-test. Our analysis reveals that cars typically provide superior accessibility compared to public transit. Moreover, we find significant variability in public transit accessibility among these cities. Medium and smaller cities exhibit notably lower levels of public transit accessibility than large cities, and mountainous cities face further reductions due to challenging terrain. Key factors contributing to these accessibility disparities are identified, leading to several policy recommendations aimed at enhancing public transit systems. These include expanding bus service coverage, improving transport infrastructure, introducing microcirculation bus routes, and further developing rail transit networks to better serve urban populations and integrate them more effectively with high-speed rail services.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"41 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142889389","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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