Journal of Transport Geography最新文献

{"title":"Complex network analysis of fossil fuel functional regions in the United States during the period 2017 to 2022","authors":"Konstadinos G. Goulias,&nbsp;Hui Shi","doi":"10.1016/j.jtrangeo.2024.104054","DOIUrl":"10.1016/j.jtrangeo.2024.104054","url":null,"abstract":"<div><div>In this paper we use complex network analysis to describe fossil fuel spatial flows among 132 places covering the entire United States in 2017 and in 2022. These spatial flows are for crude petroleum, gasoline, and oil fuels. The analysis shows that all three fuels have different network topology. For all six networks we find major hubs of crude petroleum and its products, gasoline and fuel oils, concentrated in areas with large reserves such as the south-central part of the US. Using modularity, a network cluster identification metric, we show that spatial interactions can be used to delineate functional regions and their differences across fuel types. These functional regions evolve over time in response to the shifting US role as a major producer and net exporter of fossil fuels, expansion of the domestic pipeline network, and increases in fuel production and refinement locations. The modal split of the fuels examined in this paper shows the dominant role pipelines play for crude petroleum, transporting approximately 83 % of tonnage in 2017 and increasing to almost 89 % in 2022. In contrast, gasoline and oil fuels modal split hovers at around 60 % of tonnage transported by tanker truck followed by other modes including pipelines. Our analysis shows geographic clustering of major hubs and their functional regions along the Gulf Coast in Texas and Louisiana. These are in places that are often the locations of natural disasters. This together with the rapid increase of a few hubs as gateways to fossil fuel US exports makes them prime candidates in disrupting fossil fuel supply chains worldwide and amplifies vulnerability of fossil fuel supply chains. The spatial clustering trends shown in this paper provide added evidence of the source of short-term negative impacts in places such as Chicago in Illinois and Corpus Christi in Texas. This offers added information for government intervention.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104054"},"PeriodicalIF":5.7,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652869","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":"Spatial drivers of logistics development in the Netherlands","authors":"Apeksha Tare ,&nbsp;Merten Nefs ,&nbsp;Eric Koomen ,&nbsp;Erik Verhoef","doi":"10.1016/j.jtrangeo.2024.104047","DOIUrl":"10.1016/j.jtrangeo.2024.104047","url":null,"abstract":"<div><div>Empirical studies of logistics location choice have largely focused on logistics as a single sector. This research attempts to address this research gap by analysing the heterogeneity in locational preferences of logistics across facility types and sizes. We estimate a multinomial logistic regression model to study the relative impact of various spatial drivers on logistics development in the Netherlands. We explicitly assess the role of a government policy aimed at stimulating logistics growth. We find that factors such as highway and rail accessibility, proximity to consumers and urban areas, land availability, and proximity to other logistics firms have a positive effect across all logistics categories while restrictive zoning measures have a negative effect. On the contrary, the effects of factors such as access to seaports and freight terminals, urban attractiveness, and land price are more heterogeneous and vary with the function and size of logistics. Finally, our analysis also reveals positive effects of the logistics growth stimulating spatial policy. Using our estimated parameters, we also map the predicted probabilities to identify potential future locations for logistics development.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104047"},"PeriodicalIF":5.7,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652870","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":"Analysis of shipping accident patterns among commercial and non-commercial vessels operating in ice-infested waters in Arctic Canada from 1990 to 2022","authors":"Adrian Nicoll ,&nbsp;Jackie Dawson ,&nbsp;Jérôme Marty ,&nbsp;Luke Copland ,&nbsp;Michael Sawada","doi":"10.1016/j.jtrangeo.2024.104046","DOIUrl":"10.1016/j.jtrangeo.2024.104046","url":null,"abstract":"<div><div>Over the past two decades, the Canadian Arctic has experienced a marked reduction in sea ice extent, coinciding with a significant rise in ship traffic. This study explores the relationship between ship traffic, shipping accidents, accident rates, and diminishing sea ice from 1990 to 2022 during the shipping season. The findings reveal that ship traffic has increased substantially along major Arctic routes, such as the Hudson Strait, Baffin Island, and the Northwest Passage, driven by the consistent decline in sea ice. Despite this rise in traffic, accident rates for commercial vessels, particularly General Cargo and Tanker ships, have significantly decreased, suggesting that current safety measures may be effective. However, the study also uncovered a significant positive correlation between all vessel accidents and sea ice concentration, indicating that certain ice conditions still pose substantial risks to vessels. Additionally, passenger vessel traffic has shown a notable positive correlation with accidents, pointing to emerging risks in the region. Non-commercial vessels, such as fishing vessels, have demonstrated stable accident rates, though they remain understudied. These results underscore the complexity of Arctic maritime operations in the face of climate change and highlight the urgent need for adaptive strategies, continuous monitoring, and targeted policy interventions to ensure the safety and sustainability of future Arctic shipping.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104046"},"PeriodicalIF":5.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652867","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":"The territorial impacts of BlaBlaCar carpooling: Between metropolitan polarization, intermediate cities' structuration, and rural services","authors":"Magali Talandier,&nbsp;Sylvestre Duroudier,&nbsp;Isabelle André-Poyaud,&nbsp;Sonia Chardonnel,&nbsp;Estelle Ployon","doi":"10.1016/j.jtrangeo.2024.104041","DOIUrl":"10.1016/j.jtrangeo.2024.104041","url":null,"abstract":"<div><div>Often promoted by planning and transportation authorities as one of the principal ways to reduce the impact of mobility on transportation gas emissions, carpooling practices have increased over recent decades for daily commuting as well as long-distance travel. However, mainly due to the lack of data, little is known about the geography of these trips. On the one hand, the intensity of supply and demand may favor urban areas alongside common transportation systems. On the other hand, the scarcity of public transport in rural areas or small towns can support the growth of these shared mobilities.</div><div>This article presents a geographical investigation of carpooling patterns in France and to overcome the lack of survey-data, it proposes an original method based on massive data collected from the Blablacar platform, national leader for this type of online services. After a review of the literature, the paper presents the main elements of the methodology implemented to collect and analyze the web data of carpooling. The analysis presents new findings that reveal the geographical features of car-sharing in France. The impact varies depending on the size of the towns, the presence of regional and inter-regional urban systems, and the tourism specialization of rural areas. The study also emphasizes the unique position of Paris and the pivotal role of intermediate towns.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104041"},"PeriodicalIF":5.7,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587401","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":"Spatial scale effects of transportation, social and natural attributes of street environments on perceived activity opportunities for older adults","authors":"Ruina Han ,&nbsp;Dongfeng Yang","doi":"10.1016/j.jtrangeo.2024.104045","DOIUrl":"10.1016/j.jtrangeo.2024.104045","url":null,"abstract":"<div><div>The street environment correlates with perceived activity opportunities for older adults. While numerous studies have examined the transportation and social attributes of street environments, the natural attributes have been less explored. Furthermore, the nonlinear relationship between the street environment and perceived activity opportunities across different spatial scales remains under-researched. We hypothesize that transportation, social, and natural attributes influence perceived activity opportunities, and their nonlinear effects vary across spatial scales. Therefore, we used activity survey data and multi-source big data from Dalian, China. Employing gradient boosted decision tree (GBDT) methods, we evaluated the nonlinear correlation between the street environment and perceived activity opportunities. Our study considered three community life circle scales: 5-min, 10-min, and 15-min. The results indicated that street features varied significantly at different spatial scales. Specifically, factors such as density of street network, diversity of street interface, distance to the nearest public transport station, accessibility of green space, diversion ratio, and distance to the nearest blue space notably influence perceived activity opportunities across these scales. The study also found that the nonlinear correlations between street environments and perceived activity opportunities were prevalent and varied across spatial scales. These results suggest that priorities for street environment improvements should account for these spatial scale variations. Our research provides multi-scale recommendations for the development of sustainable transportation, age-friendly communities, and the promotion of aging in place.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104045"},"PeriodicalIF":5.7,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573457","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":"Inter-regional rail travel and housing markets connectedness between London and other regions","authors":"I-Chun Tsai","doi":"10.1016/j.jtrangeo.2024.104044","DOIUrl":"10.1016/j.jtrangeo.2024.104044","url":null,"abstract":"<div><div>Taking London as a location with which to measure the ripple effect in the UK housing market, this study aims to explain and verify the high degree of correlation between inter-regional transportation and the regional correlation of the housing market. Based on the literature on the relationship between short-term mobility and long-term migration, this paper illustrates that the extent to which people use trains for travel across regions will be related to the ripple effect in the regional housing markets. Frequent railway transport behavior, whether for commuting or traveling, might increase people's desire to relocate between regions, and thus leading to information transmission effects across regional housing prices and transaction volume. First, we estimate a dynamic indicator for the ripple effect. Then, the empirical tests use panel data, including the ripple indicator and passenger number data across time (1996–2022) and regions (nine regions). It is found that if London house prices drive other regional house prices to rise, inter-regional transportation demand will increase, and in turn, the increase of house prices in other housing markets will again drive up London house prices. The number of passengers will affect the information transmitted by the housing market transaction volume in other regions to the London housing market. This implies that higher inter-regional transport needs may lead to migration between London and other property markets, causing their transaction volumes to change in the same direction. The results of this paper verify that travel behavior between regions is a crucial factor in the leading/lagging behavior of regional housing market performance, implying a relationship between short-term travel and long-term migration. The results also indicate that incorporating variables of housing market correlations may help in the prediction of passenger numbers or transportation demand.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104044"},"PeriodicalIF":5.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572959","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":"Impacts of weather-related road closures on daily habitual travel in North Carolina","authors":"Julia Cardwell ,&nbsp;Paul L. Delamater ,&nbsp;Charles E. Konrad","doi":"10.1016/j.jtrangeo.2024.104043","DOIUrl":"10.1016/j.jtrangeo.2024.104043","url":null,"abstract":"<div><div>Weather-related road closures have the potential to cause serious impacts to society by disrupting road network function. Impacts to the population are variable based on the temporal and spatial extent of the closures, as well as the ability of the road network to absorb the impacts of closures by offering suitable alternative routes. In general, analyses of the impacts of weather-related road closures have focused on short-term, major events, such as hurricanes. There has been little focus on the ability for weather-related disruptions of varying size and severity (from localized tree fall to major hurricanes) to cause cumulative impacts to the population over longer time scales. This analysis considers daily impacts to free-flow travel time by employing an adjusted graph theory approach that also considers demand to more effectively analyze travel time impacts. In particular, this study uses mobility data to determine “habitual travel” for each census block group in the state, which allows for consideration of weather-related travel time impacts based on regularly occurring trips. We conduct a case study in North Carolina over the period of 2016–2023. Results indicate that although major events (such as Hurricane Matthew and Florence) represent the days with the most intense travel time disruptions, much of the state has experienced more than 30 days of travel-time disruption due to weather-related closures. Ultimately, rural areas of the state, especially the southeast coastal plain and the far western area of the state, emerge as the most impacted regions, which exposes potential vulnerabilities, especially considering the expected increase of weather-related road closures due to climate change.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104043"},"PeriodicalIF":5.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573456","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":"The effects of infrastructure quality on the usefulness of automated vehicles: A case study for Leeds, UK","authors":"Oguz Tengilimoglu ,&nbsp;Oliver Carsten ,&nbsp;Zia Wadud","doi":"10.1016/j.jtrangeo.2024.104042","DOIUrl":"10.1016/j.jtrangeo.2024.104042","url":null,"abstract":"<div><div>With rapid advancements in automated driving technologies, there is a growing emphasis on enhancing physical and digital infrastructure to ensure safe and efficient integration of Automated Vehicles (AVs) into road networks. This study conducts the first exploratory analysis of the impact of heterogeneity in road infrastructure readiness on the usefulness of AVs for urban commuting, with a focus on Leeds, UK. Employing a hypothetical scenario where current car commuters have access to AVs for their daily trips, this research explores possibility of replacing commuting trips by AVs, given the existing levels of infrastructure readiness. Through the evaluation of various road network configurations and AV capabilities, the study evaluated the usefulness of AVs for such journeys. The findings reveal that infrastructure readiness levels significantly impact AV performance and usefulness, potentially necessitating infrastructure upgrades to facilitate future AV deployment. The analysis indicates that relatively less challenging paths for AVs tend to be longer than those typically used by human-driven vehicles, with an increase of approximately 5 miles (8 km) in travel distance for some origin-destination pairs. Despite only 20 % of road links being classified as extremely challenging within the network, their dispersed distribution resulted in significant connectivity barriers, rendering a considerable number of trips infeasible for AV navigation. The research findings can provide valuable insights to help understand the integration of AVs into road networks and assist decision-makers and transport planners in developing informed and forward-looking policies, regulations and guidelines.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104042"},"PeriodicalIF":5.7,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551875","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":"Exploring fatal/severe pedestrian injury crash frequency at school zone crash hotspots: using interpretable machine learning to assess the micro-level street environment","authors":"Kaihan Zhang ,&nbsp;Reuben Tamakloe ,&nbsp;Mengqiu Cao ,&nbsp;Inhi Kim","doi":"10.1016/j.jtrangeo.2024.104034","DOIUrl":"10.1016/j.jtrangeo.2024.104034","url":null,"abstract":"<div><div>Several countries have implemented designated school zones and installed traffic calming measures to enhance the safety of vulnerable pedestrians near schools. While macro-level built environment attributes (e.g., land use) have been widely acknowledged in relation to the role they play in urban traffic safety, the effects of micro-level streetscape characteristics on crash frequency have not been investigated to any significant extent. Moreover, the associations between these environmental features and crashes in school zones remains largely unknown. To address this issue, we first identified school zone-related crash hotspot using spatiotemporal hotspot mining on a comprehensive dataset of 20,484 pedestrian-vehicle crashes between 2017 and 2021 in Seoul, South Korea. Streetscape characteristics were analysed using street view imagery and advanced computer vision techniques to extract and classify pixel-wise visual elements. Preliminary findings reveal spatiotemporal variations in fatal and severe injury (FSI) crashes, with school zones in central commercial and industrial areas emerging as persistent crash hotspots that have remained statistically significant hotspots for 90 % of the study period. Further impact analysis using interpretable machine learning helped to uncover the non-linear relationships between both micro and macro environmental features and FSI frequency. Lower levels of street enclosure and walkability were associated with a higher frequency of FSI crashes, while increased openness and imageability were also correlated with more FSI incidents. Additionally, street greenery was found to reduce FSI crashes once it reached a certain threshold. Our findings extend existing knowledge of how the built environment and streetscape design influence pedestrian safety in school zones, paving the way for more targeted interventions to plan safer pedestrian environments around schools.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104034"},"PeriodicalIF":5.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532492","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":"Where else to visit? Demystifying vacationers' diverse intra-destination visitation preferences in a pilgrimage hub","authors":"Suvam Banerjee,&nbsp;Rajat Rastogi,&nbsp;Indrajit Ghosh","doi":"10.1016/j.jtrangeo.2024.104039","DOIUrl":"10.1016/j.jtrangeo.2024.104039","url":null,"abstract":"<div><div>Intra-destination travel behavior of tourists is underexplored, particularly regarding the determinants of their preference for tourism spots in and around a prominent tourism destination. This study aims to investigate the tourist groups' preferences for visiting micro-destinations around the pilgrimage city of Puri, India, by utilizing the socio-demographic profile and travel/stay characteristics as explanatory variables. An in-person questionnaire survey was conducted, evoking the responses of 672 tourist groups. Multiple Discrete-Continuous Extreme Value framework was employed to model tourist groups' discrete choice of <em>discretionary tourism location</em> categories and corresponding <em>intensity of engagement as the continuous quantity</em>. To capture the correlation between visitation alternatives, two Multiple Discrete-Continuous Nested Extreme Value models were further estimated each utilizing distinct nested structures. These two structures were formulated by grouping the alternatives based on <em>spatial proximity</em> and <em>attraction type</em>, respectively. The findings highlight that visitation to a particular micro-destination encourages exploration of other nearby attractions. Additionally, inherent preference for a specific type of attraction leads tourists to consistently prefer sites of similar attraction type across all distances away from their stay location. Annual visitors are typically confined to their core purpose with a lesser inclination for distant discretionary micro-destinations. Tourists with a longer stay duration and income are observed to have a higher propensity to choose distant discretionary spots more prominently. Aged groups (predominance of 45+ members) typically avoid distant micro-destinations except for religious tourism spots. Interestingly, the findings suggest that the type of accommodation can explain the visitation preferences significantly. In summary, this study offers a unique contribution through novel behavioral insights and demonstrates a methodological approach to derive a model necessary for estimating trip attractions to diverse tourism sites.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104039"},"PeriodicalIF":5.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532375","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}