Journal of Transport Geography最新文献

{"title":"Thinking beyond models: The propensity to fly of four Central European countries","authors":"Antonín Kazda ,&nbsp;Alena Novák Sedláčková ,&nbsp;Patrik Böhm ,&nbsp;Matúš Materna","doi":"10.1016/j.jtrangeo.2024.104040","DOIUrl":"10.1016/j.jtrangeo.2024.104040","url":null,"abstract":"<div><div>This paper proposes a new enhanced propensity to fly model based on multilinear regression analysis, which is used to analyse the air transport market potential in four central European countries. Eurostat database data from 31 European states in years 2009–2019 were used with an emphasis on data homogeneity and robustness. To evaluate the quality of the regression model, the influence of seven variables was considered in total on propensity to fly – GDP, geographical characteristics of states (3 variables), magnitude of tourism, the effect of economically active people of working age, and education. The multi-regression analysis findings show differences between the theoretical and actual values in the examined states. In all four investigated states, the theoretical values predicted by the regression model are higher than the actual numbers. In the Czech Republic and Slovakia, these differences are substantially larger than in the other two countries. This may indicate that a proportion of air passengers from the Czech Republic and Slovakia choose airports in other countries for their travel. The article discusses the causes and consequences of the mentioned differences. The proposed enhanced propensity to fly method can help decision-makers assess the scale of ‘air passenger leakage’ from the four countries of the Central Europe to airports abroad. It could serve as one of the tools to inform the design and/or review of air transport policies. However, while the model is statistically strong and reliable, it remains a ‘crude tool’ and should be used in conjunction with other data by air transport planners.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104040"},"PeriodicalIF":5.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532373","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":"Equity and accessibility assessment of fixed route transit systems integrated with on-demand feeder services","authors":"Avani Aravind,&nbsp;Suvin P. Venthuruthiyil,&nbsp;Sabyasachee Mishra","doi":"10.1016/j.jtrangeo.2024.104028","DOIUrl":"10.1016/j.jtrangeo.2024.104028","url":null,"abstract":"<div><div>In contemporary societies, public transportation holds paramount significance for fostering sustainable and equitable urban development. Concurrently, innovative mobility solutions, such as the integration of on-demand mobility services like Demand Response Transit (DRT) and Transportation Network Companies (TNC) with Fixed Route Transit (FRT) systems, are gaining prominence. On-demand mobility, with its adaptive dynamic routing, can improve public transit access by best utilizing the existing infrastructure. However, to ensure the adequacy of the service of an integrated system, it is essential to evaluate equity and accessibility of the system. While research has explored the adaptability of integrated multi-modal transport systems, a critical gap remains in understanding the impact on transportation accessibility, particularly for transit-reliant communities. This study utilizes spatial indicators to depict accessibility changes at FRT bus stops post-integration with on-demand services. To assess the enhancement in accessibility resulting from integration, the study employed an agent-based model, testing two scenarios: <em>i) Walking with FRT</em> and <em>ii) On-demand Feeder with FRT</em> (DRT and TNC integrated as feeders). The evaluation employs key metrics, including Transit Coverage Gap, the Lorenz curve, and the Gini index, to analyze the accessibility and equity of the integrated services. Additionally, a novel measure, termed the “Accessibility-Radius,” is proposed to quantify spatial accessibility to FRT services. Accessibility-Radius (AR) is defined as the radial service range of a public transit stop, which captures the dependence of the users of the FRT stop to access the public transit facilities. In this study, we quantified the AR as the 90th and 95th percentile distances between various origins and the nearest FRT stops of completed trips. The results of a case study of the city of Morristown, Tennessee, US, indicate that after integration, the Gini index improved from 0.88 to 0.71, and 29.6 % more people had access to public transportation. The study also utilizes the AR performance metric to evaluate a recently developed transit integration project in Memphis, Tennessee, US. The results demonstrate a remarkable 224 % improvement in transit coverage Gap at an FRT stop. Therefore the contribution of this study is a framework to evaluate the accessibility and equity enhancement for a public transit system after integrating with on-demand feeder services.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104028"},"PeriodicalIF":5.7,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532493","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 comparative analysis of cross-sectional study and natural experiment in rail transit-travel behavior research: A case study in Wuhan, China","authors":"Jingjing Wang ,&nbsp;Yi Lu ,&nbsp;Mi Diao ,&nbsp;Ye Liu","doi":"10.1016/j.jtrangeo.2024.104035","DOIUrl":"10.1016/j.jtrangeo.2024.104035","url":null,"abstract":"<div><div>There has been a global increase in investment in rail transit, driven by its potential to enhance transportation efficiency, reduce air pollution, and stimulate economic growth. Both cross-sectional studies and natural experiments have contributed to the growing body of evidence supporting these claims. While natural experiments are commonly preferred for evaluating the impact of rail transit, cross-sectional studies remain popular due to their ease of data collection. However, there is a scarcity of studies that compare these two approaches using the same dataset to assess the robustness of cross-sectional studies. Using a two-wave panel dataset from Wuhan, China, this study used both cross-sectional and natural experimental analyses to examine the relationship between urban rail transit and travel behavior. The study attempted to enhance the credibility of the cross-sectional analysis by controlling for confounding variables and by combining it with the propensity score matching (PSM) method, respectively. The results revealed that the cross-sectional analyses could produce similar results, when setting a more stringent significance level. The findings suggested that well-designed cross-sectional studies can be reliable and represent a cost-effective alternative to resource-intensive natural experiments.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104035"},"PeriodicalIF":5.7,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532491","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":"Bayesian multivariate spatiotemporal statistical modeling of bus and taxi ridership","authors":"Hui Luan ,&nbsp;Shanqi Zhang ,&nbsp;Xiao Fu","doi":"10.1016/j.jtrangeo.2024.104032","DOIUrl":"10.1016/j.jtrangeo.2024.104032","url":null,"abstract":"<div><div>Statistical modeling of ridership over both space and time provides valuable insights on transportation planning and policies. Existing spatiotemporal studies, however, predominantly focus on analyzing a single type rather than multiple types of ridership, thus cannot leverage the correlation between different types of ridership. This study proposes a Bayesian multivariate spatiotemporal statistical model to jointly analyze multiple ridership over time. Specifically, the model accounts for correlation between multiple ridership based on different assumptions of space-time interactions (i.e., departures from the main spatial and temporal patterns) between different types of ridership as well as if covariates are included in the model. Using hourly bus and taxi ridership in the city of Wuhu, China as an example, the case study indicates that accounting for the correlation between the space-time interactions of each ridership, beyond the correlation between the main spatial patterns of the two ridership, further improves the statistical inferences of ridership modeling. In addition, the proposed approach enables the detection of spatial and spatiotemporal hotspots of each ridership as well as bus-taxi ratio hotspots using posterior probabilities. It also supports visual inspections regarding how the inclusion of covariates explains these hotspots. The proposed approach not only advances multivariate spatiotemporal statistical modeling of ridership, but can also provide useful insights on space- and time-specific transport policies at a granular resolution.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104032"},"PeriodicalIF":5.7,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532371","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":"Do affluent neighbourhoods pay more for transit access? Exploring the capitalization of employment accessibility within different housing submarkets in Vancouver","authors":"Robert Nutifafa Arku ,&nbsp;Christopher D. Higgins ,&nbsp;Jaimy Fischer ,&nbsp;Steven Farber","doi":"10.1016/j.jtrangeo.2024.104038","DOIUrl":"10.1016/j.jtrangeo.2024.104038","url":null,"abstract":"<div><div>Decades of research indicate that accessibility plays a fundamental role in the urban systems of cities by influencing land markets and household location choices. Accessibility is also often positioned as a policy tool in enhancing the well-being of disadvantaged population groups. Considered together, recent research into transportation equity underscores the need to critically investigate the distribution of accessibility with their affordability impacts. To better understand this dynamic, this research assesses variability in the relationship between employment access and house prices within different neighbourhood types in Metro Vancouver. We first calculate network accessibility to employment opportunities. Next, to integrate equity, we use sociodemographic indicators from census data to establish a typology of four neighbourhoods: <em>Affluent, Stable Middle-class, At-Risk Middle-class</em> and <em>Economically-disadvantaged</em>. Finally, using real estate data, we employ spatial econometric models to estimate differences in the capitalization of accessibility in residential property prices across these neighbourhood types. Results suggest that the value of transit access does differ by neighbourhood type in Metro Vancouver. While more affluent neighbourhoods exhibit the highest marginal willingness to pay for accessibility, predicted prices are highest in disadvantaged neighbourhoods due to their higher absolute levels of access. The research offers new insight into how property price effects vary according to different accessibility and sociodemographic contexts, and highlights important implications for both policy and future research.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104038"},"PeriodicalIF":5.7,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532372","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":"First-mile and last-mile externalities: Perspectives from a developing country","authors":"Eugene Sogbe ,&nbsp;Susilawati Susilawati ,&nbsp;Tan Chee Pin","doi":"10.1016/j.jtrangeo.2024.104037","DOIUrl":"10.1016/j.jtrangeo.2024.104037","url":null,"abstract":"<div><div>Transport equity, which emphasises fair and equitable distribution to reach various significant activities and opportunities such as work and healthcare, has greatly interested researchers and practitioners. Enhancing first-mile and last-mile travel and commuting experiences augment an individual's travel satisfaction. However, challenges with first-mile and last-mile travel lead to social exclusion and inequity concerns in accessing services and a reduction in the utilisation of public transport. There is limited insight regarding commuters' experiences and challenges in this context, particularly in developing countries. This dearth of knowledge makes it difficult to implement measures to enhance connectivity and accessibility. Thus, we investigate the first-mile and last-mile experiences and challenges of commuters in Ghana using qualitative and quantitative data from semi-structured interviews and questionnaire survey, which are rare in this subject's study. The analysis through the logit model showed that commuters with increasing distances for the first and last miles have difficulty with transport accessibility. The results showed that demographic factors like age and gender did not significantly affect first-mile and last-mile accessibility, suggesting that the challenges are experienced across different groups. The thematic analysis revealed five essential themes: (i) cost, (ii) limited accessibility, (iii) safety, long walking distances and (v) temporal factors like weather as challenges commuters encounter with their first-mile and last-mile trips. This research contributes to the extant literature on the experiences and challenges of first-mile and last-mile commutes. It provides depth to the literature by offering perspectives from a developing country. It also holds practical significance for transport authorities and government departments and agencies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104037"},"PeriodicalIF":5.7,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532369","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":"Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York","authors":"Mengjie Gong ,&nbsp;Rui Xin ,&nbsp;Jian Yang ,&nbsp;Jiaoe Wang ,&nbsp;Tingting Li ,&nbsp;Yujuan Zhang","doi":"10.1016/j.jtrangeo.2024.104031","DOIUrl":"10.1016/j.jtrangeo.2024.104031","url":null,"abstract":"<div><div>The COVID-19 has led to significant changes in urban travel behaviors, with commuting being one of the most affected travel modes. Commuting cycling by bike-sharing systems (BSS) is regarded as a new transportation mode that is low-carbon and low-cost. However, its dynamic changes and spatiotemporal characteristics in different periods of COVID-19 still lack exploration. Therefore, this study adopts machine learning methods to identify commuter bike-sharing activities and develops a combined analysis method to analyze commuting cycling data via temporal, spatial, and spatiotemporal aggregation. Finally, we select the bike-sharing data in New York City from periods before, during, and after COVID-19 to conduct experiments. It has been found that commuting cycling experienced a “decrease-rebound” trend at the macroscopic level under the pandemic impact. However, at the micro level, urban mobility driven by this travel mode failed to fully recover, as evidenced by significant changes in spatial and temporal mobility patterns. The findings shall not only help traffic operators and managers discover the BSS commuting patterns but also reveal the pandemic impact on the travel behavior of urban residents, promoting the development of intelligent services for urban emergency management and traffic management.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104031"},"PeriodicalIF":5.7,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532370","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 the barriers affecting women's mobility in the first- and last-mile stretches in low- and middle-income countries: A systematic review","authors":"Sanghamitra Roy ,&nbsp;Ajay Bailey ,&nbsp;Femke van Noorloos","doi":"10.1016/j.jtrangeo.2024.104036","DOIUrl":"10.1016/j.jtrangeo.2024.104036","url":null,"abstract":"<div><div>Globally, women encounter physical and social barriers that challenge their mobility. This review explores the barriers affecting women's mobility, in the first- and last-mile stretches, in low- and middle-income countries and their consequences on accessibility, availability, affordability, and acceptability of public transport. This review includes 42 studies on mobility, accessibility, safety, travel patterns, and gendered transport, employing mixed, quantitative, and qualitative methods. The barriers observed in these studies are primarily related to 1) public transport, 2) non-motorized transport, 3) safety, 4) gendered norms, 5) urban form, and 6) policies. The most common concerns for women are the lack of adequate, reliable, inclusive, safe, and integrated public transport, poor pedestrian infrastructure, and unsafe environments. These, coupled with gendered norms, restrict mobility and access to essential services and opportunities for women, especially if traveling with children and luggage, as well as for older adults and persons with disabilities. This is one of the first reviews focusing on barriers affecting women's mobility. It advocates for more contextualized evidence-based studies on first- and last-mile connectivity from more geographic locations, integrated feeder and main transport lines, and operationalizing and monitoring policies and regulations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104036"},"PeriodicalIF":5.7,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532374","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":"How does the built environment affect intermodal transit demand across different spatiotemporal contexts?","authors":"Jiayou Lei ,&nbsp;Min He ,&nbsp;Zhuangbin Shi ,&nbsp;Mingwei He ,&nbsp;Yang Liu ,&nbsp;Qian Qian ,&nbsp;Huimin Qian","doi":"10.1016/j.jtrangeo.2024.104033","DOIUrl":"10.1016/j.jtrangeo.2024.104033","url":null,"abstract":"<div><div>Bus and metro are the two primary modes of public transportation in many megacities worldwide. Understanding their cooperation is crucial for the integration of the public transportation system. Despite extensive research on public transportation demand, studies focusing on bus-metro cooperation remain limited. Intermodal transit demand directly reflects the level of cooperation between the two modes in travel behavior. In this study, intermodal transit demand is extracted from smart card data in Beijing, China. The extreme gradient boosting algorithm is employed to investigate the determinants of intermodal transit demand considering spatiotemporal variation. The SHapley Additive exPlanations method further interprets these models. Findings reveal that (1) the relative spatial relationship between bus and metro service facilities significantly influences their cooperation; however, these influences gradually weaken as urban space expands from the core to the peripheral area; (2) in peripheral area, the characteristics of the bus network hold the highest average importance ranking; (3) extensive nonlinear relationships and threshold effects exist between the built environment and intermodal transit demand, with the magnitude, pattern, and direction of these impacts varying significantly across different spatiotemporal contexts; and (4) changes in the spatial layout of transportation service supplies impact their competition and cooperation, such as adequate bus service supplies potentially reducing the cooperation between bus and metro to some extent. These findings will assist planners and public transit operators in developing regulations that encourage cooperation between bus and metro, thereby increasing the attraction and competitiveness of the public transit system.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104033"},"PeriodicalIF":5.7,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532368","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":"Analysis of socioeconomic and built environment factors influencing travel mode choice of older adults in Georgia","authors":"Shinah Park,&nbsp;Gulsah Akar","doi":"10.1016/j.jtrangeo.2024.104030","DOIUrl":"10.1016/j.jtrangeo.2024.104030","url":null,"abstract":"<div><div>This paper explores the travel behavior of older adults in comparison to younger adults using the 2017 U.S. National Household Travel Survey Georgia Add-on. We employ a discrete mode choice model to examine how the relationships between travel outcomes and socioeconomic, trip, and built environment characteristics vary by age. Travel modes are categorized into automobile, public transit, and non-motorized modes (i.e., walking and biking). The analysis reveals significant differences in factors related to non-auto mode travel outcomes between age groups. The presence of health conditions is associated with a lower likelihood of older adults choosing non-auto modes, and this effect intensifies with age. The association between trip purposes and travel outcome also varies; home-based-other purpose trips, such as healthcare appointments or community activities, are associated with a higher probability of older adults choosing non-motorized modes compared to other trip purposes. Residential density is more of a factor for older adults' non-auto mode choices, and older adults living in non-auto mode supportive environments are more likely to maintain non-auto mode usage. The study further finds that older adults and those with health conditions live and travel in less dense, less walkable areas than their counterparts, which makes it difficult for them to have viable non-auto transportation options. To expand mobility options for older adults, planners should design programs for older adults with health conditions and provide services for those who can no longer drive or without access to automobiles. Additionally, considering built environment conditions and the varying needs of individuals based on trip purposes is recommended to satisfy the mobility needs of older adults in accordance with their lifestyles.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104030"},"PeriodicalIF":5.7,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532367","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}