Journal of Transport Geography最新文献

{"title":"Electric vehicle adoption and planning: The increasing importance of the built environment","authors":"Kendrick Hardaway ,&nbsp;Utkuhan Genc ,&nbsp;Hua Cai ,&nbsp;Roshanak Nateghi","doi":"10.1016/j.jtrangeo.2025.104115","DOIUrl":"10.1016/j.jtrangeo.2025.104115","url":null,"abstract":"<div><div>Understanding how the built environment influences electric vehicle (EV) adoption is critical for EV-related investment decisions and policy-making, but the influence of built infrastructure and regional context on encouraging EV adoption and preparing infrastructure for EVs is less understood. To address this fundamental gap, we rigorously analyzed US EV sales data from 2012 to 2019, using state-of-the art supervised machine learning techniques. Our results indicate that accounting for non-linearities is especially important for explaining EV adoption. Our results outperformed prior studies by up to 25 %, with an <em>out-of-sample</em> adjusted <span><math><msup><mi>R</mi><mn>2</mn></msup></math></span> of 0.92. Our analysis reveals that EV adoption is most influenced by owner-occupied residences, travel costs, charging infrastructure, and home solar installations. We also find that as adoption matures, the built infrastructure and regional context become increasingly more important for understanding EV adoption, suggesting that investment in EV-supporting infrastructure should be prioritized. Our results have implications for decision-makers who aim to understand the key drivers of EV adoption nationwide and how those drivers are changing.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104115"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990333","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":"Does adolescent experience influence mobility later in life? A propensity score matching approach","authors":"Erik B. Lunke","doi":"10.1016/j.jtrangeo.2025.104129","DOIUrl":"10.1016/j.jtrangeo.2025.104129","url":null,"abstract":"<div><div>While research shows that car restrictions and investments in sustainable transport infrastructure reduces car use, less is known about the influence of social norms and childhood experiences in shaping mobility behaviour. This study examines the impact of growing up in a car-owning household on car ownership later in life, utilizing Propensity Score Matching (PSM) and longitudinal registry data from Norway. The analysis reveals that experiences in the parental household at age 18 significantly influence car ownership in adulthood (at age 30), with a modest effect size of 4–5 %, after controlling for sociodemographic and neighbourhood factors. These findings suggest that traditional policy measures aimed at reducing car use may need to be complemented by public awareness campaigns to address deeply ingrained mobility behaviors shaped by early life experiences.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104129"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143035312","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":"Social barriers and opportunities for transition towards sustainable mobility: The role of selected beliefs and attitudes in Central-Eastern Europe","authors":"Beata Łopaciuk-Gonczaryk ,&nbsp;Anna Nicińska","doi":"10.1016/j.jtrangeo.2024.104077","DOIUrl":"10.1016/j.jtrangeo.2024.104077","url":null,"abstract":"<div><div>In contrast to other emissions' sources, emissions' growth from transport, caused largely by private cars, did not slow down in the last decade. We examine institutional barriers to the reduction of private car ownership and use, and to the development of mobility as a service, as well as opportunities that can foster development of sustainable transportation. We find that beliefs of higher quality of private than public services and prosocial attitudes impact on car ownership and mobility services use, respectively. By studying effects of the exposure to communism in Central-Eastern European countries, we shed new light on the specific barriers and chances for sustainable transition in a set of formerly communist countries.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104077"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145908","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":"Why they are experiencing long-time commuting: A gendered analysis across occupational, family, and spatial dimensions","authors":"Nixuan Ye ,&nbsp;Chao Yang ,&nbsp;Chengcheng Yu","doi":"10.1016/j.jtrangeo.2025.104133","DOIUrl":"10.1016/j.jtrangeo.2025.104133","url":null,"abstract":"<div><div>The growing job-residence imbalance has led to an increasing concern about long-time commuting. Existing studies have made great efforts to explain the influencing mechanism, but a perspective based on the gender difference has not been fully explored before. Moreover, research on causality in long-time commuting has been limited. This study aims to address these gaps by using 2019 Household Travel Survey data from Shanghai, combined with census and land use data at the sub-district level. The analysis of variance (ANOVA) and causal model are used to explore gender differences in long-time commuting behavior, as well as the causal effects of individual occupations, family stages, and spatial types on these differences. Our results confirm that gender differences in long-time commuting are significant at individual, family, and spatial levels. The analysis indicates that high-income white-collar workers have a positive causal effect on the choice of long-time commuting among commuters, although this effect is smaller for women. The impact of different family life cycles on long-time commuting among women varies significantly, with the formation and expansion stages showing negative impacts, and stabilizing into a positive impact during the stability stage. The findings at the spatial level further indicate that women's disadvantaged position in urban spatial competition may increase their likelihood of engaging in long-time commuting to obtain appropriate employment opportunities. These findings demonstrate the gender differences in long-time commuting across different levels, highlighting the importance of inclusive and comprehensive job-housing balance policies for promoting gender equality and reducing long-time commuting.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104133"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring mobility of care with measures of accessibility","authors":"Anastasia Soukhov,&nbsp;Nicholas Mooney,&nbsp;Léa Ravensbergen","doi":"10.1016/j.jtrangeo.2024.104050","DOIUrl":"10.1016/j.jtrangeo.2024.104050","url":null,"abstract":"<div><div>Accessibility, the ease of interacting with potential opportunities, is an increasingly important tool among transport planners aiming to foster equitable and sustainable cities. However, in accessibility research there is a historical focus on employment destinations that is shaped by a masculinist transportation planning tradition. This paper aims to counter this gendered bias by connecting the Mobility of Care framework, a gender-aware transport planning conceptualisation to an empirical accessibility analysis of care destinations in the City of Hamilton, Canada. Care destinations are all the places one must visit to sustain household needs such shopping, errands, and caring for others. This paper considers access to care across different modes of transport at two travel time thresholds (trips shorter than 15-min and 30-min) using a curated care destination dataset. The accessibility methods used includes the cumulative opportunities measure and a competitive and singly-constrained accessibility measure (spatial availability) for different modes. Overall, results indicate that accessibility by car is exceptionally high across the city, while access by public transit, cycling and foot is relatively low with some exceptions in the inner city. Notably, there are distinctions between both methods: cumulative opportunities illustrates a more optimistic potential interaction landscape for non-car modes, while the spatial availability measure demonstrates a theoretically more realistic spatial distribution of care destination availability of potential interaction. Neighbourhoods with both low spatial availability to care and a high proportion of low-income households are also identified and discussed as areas in need of intervention. The manuscript and analysis is computationally reproducible and openly available. The presented analysis demonstrates methods planners can use to apply a gender-aware lens to accessibility analysis. Further, results can inform policies aiming to encourage sustainable mobility.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104050"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823259","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":"Comparing accessibility to high-speed rail stations by public transit and cars: A national-scale analysis","authors":"Long Cheng ,&nbsp;Yuheng Chen ,&nbsp;Shengyu He ,&nbsp;Zheyuan Wang ,&nbsp;Tanhua Jin ,&nbsp;Min Yang","doi":"10.1016/j.jtrangeo.2024.104105","DOIUrl":"10.1016/j.jtrangeo.2024.104105","url":null,"abstract":"<div><div>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 <em>t</em>-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.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104105"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","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}

{"title":"Enriching OpenStreetMap network data for transportation applications: Insights into the impact of urban congestion on accessibility","authors":"Sailesh Acharya,&nbsp;Venu M. Garikapati,&nbsp;Michael Allen,&nbsp;Mingdong Lyu,&nbsp;Christopher Hoehne,&nbsp;Shivam Sharda,&nbsp;Robert Fitzgerald","doi":"10.1016/j.jtrangeo.2024.104096","DOIUrl":"10.1016/j.jtrangeo.2024.104096","url":null,"abstract":"<div><div>OpenStreetMap (OSM) data is a valuable open-source resource for various transportation, traffic, and planning applications. However, OSM network data lack operating traffic speed information, which is critical for transport planning and operations. Addressing this shortcoming, this study leverages commercial vendor data (to serve as ground truth) with exogenous, open-source variables characterizing local transport infrastructure, land use, and demographic information to predict average congested traffic speeds on OSM networks. Three machine-learning models were tested and estimated for OSM links with and without speed limit information in the Denver metropolitan region. Among these, XGBoost performed best, with mean absolute errors of 3.27 and 3.62 mph for links with and without speed limits, respectively. The developed models accurately predicted traffic speeds for different hours and days of the week compared to ground truth data. Using these predicted speeds, drive accessibility scores were computed for the Denver region for different time periods using the Mobility Energy Productivity (MEP) metric to understand the impact of congestion on energy-efficient accessibility. Results show that congestion-adjusted drive accessibility can be significantly lower compared to accessibility calculated using free flow speeds. Specifically, weekday evening hours saw a 42 % drop in accessibility due to reduced speeds, particularly around downtown Denver. Across the Denver metro region, approximately half as many opportunities and jobs are accessible in under 20 min by car during the evening peak period relative to free flow conditions. These findings underscore the importance of using congestion-adjusted operating speeds rather than speed limits in accessibility calculations, as reliance on speed limits can substantially overestimate energy-efficient drive accessibility in large, car-centric cities susceptible to significant congestion. The methodology presented here could further enrich OSM network data, making them useful for an even broader range of transportation applications.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104096"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142874479","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":"Measuring the impacts of subway openings on location choice: Systematic evidence from service enterprises, Beijing","authors":"Guoqiang Feng ,&nbsp;Tianle Wang ,&nbsp;Zihong Huang","doi":"10.1016/j.jtrangeo.2024.104082","DOIUrl":"10.1016/j.jtrangeo.2024.104082","url":null,"abstract":"<div><div>Studies concerning the location choices of enterprises are predominantly focus on manufacturing enterprises, with limited attention given to service enterprises. This paper examines Beijing, whose services account for more than 80 % of GDP, to ascertain whether enhanced accessibility through the expansion of subway network facilitates new service enterprises to capitalize on agglomeration economies, ultimately contributing to the transformation of the urban landscape. Using a matched dataset comprising 16,571 gird cells, each measuring 1 × 1 km in size, and information on newly registered service enterprises in Beijing from 2007 to 2018, we employ a mult-period difference-in-difference (DID) estimation methodology, leveraging exogenous shocks from the opening of new subway lines, to examine the causal relationship between subway openings and the location decision of service enterprises. Our findings indicate that the subway network positively influences the establishment of service enterprises, with a 53.8 % increase in newly registered service enterprises following the opening of a new subway line. Furthermore, the agglomeration effects of subway network are more salient for newly registered producer service enterprises, which tend to cluster in central areas, whereas consumer service enterprises demonstrate a preference for agglomeration in the city's periphery, thereby contributing to the reconfiguration of the city's urban structure.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104082"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790024","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":"Transportation development paths in 30 provinces of China in the context of carbon quota allocation","authors":"Keke Ji ,&nbsp;Qing Yang ,&nbsp;Liang Dong ,&nbsp;Zipeng Lin ,&nbsp;Kaili Ji ,&nbsp;Ting Zhang ,&nbsp;Xingxing Liu","doi":"10.1016/j.jtrangeo.2025.104148","DOIUrl":"10.1016/j.jtrangeo.2025.104148","url":null,"abstract":"<div><div>Establishing a scientific mechanism for allocating carbon allowances in the transportation sector is vital for achieving net-zero emissions targets, especially considering China's significant regional disparities. Nonetheless, the current methods are inadequate. By exploring the causal mechanism of transportation CO2 emissions (TCE), this study addresses the aforementioned gap by developing a carbon allowance allocation method utilizing innovative econometric tools. The method calculates the cost of carbon emission reductions in each province using the non-radial directional distance function (NDDF). We constructed a three-dimensional spatial (SEE) transportation carbon quota allocation model grounded in Stability, Equity, and Efficiency, aimed at facilitating scenario analysis up to 2030. Results highlighted: (1) There is a positive correlation between transportation carbon quotas and the economic scale of each province, with Guangdong Province reaching the highest at about 76 million tons (low-carbon scenarios), further demonstrating that China's transportation carbon emissions have not yet decoupled from economic growth; (2) the marginal carbon abatement costs across provinces vary significantly, exhibiting a pattern of higher costs in the west and lower in the east, with a price range of RMB 40–690 per ton; (3) provinces focused on green transportation, such as Beijing, and those driven by economic driven, like Hebei, can achieve Pareto improvement and balance economic development with carbon emission reductions through reasonable trading. The study provides a methodological basis for China's transportation carbon quota allocation system and offers guidance on selecting development models for different regions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104148"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429571","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 gender data gap in e-micromobility research: A systematic review of gender reporting","authors":"Katie J. Parnell","doi":"10.1016/j.jtrangeo.2025.104127","DOIUrl":"10.1016/j.jtrangeo.2025.104127","url":null,"abstract":"<div><div>Our transportation systems have encountered male bias in their design and evaluation for many years due to a lack of data from female users. Despite being a relatively new mode of transportation, e-micromobility has had greater uptake by male users from its inception. Yet, the gendered analysis and reporting of e-micromobility has not been analysed in detail on a large scale. This review identified 292 papers across 37 different countries that have conducted participant-based research into e-micromobility, to understand how gender was reported and analysed in the samples used in the studies. This identified that half of all papers reviewed had a male majority sample, while only 15 % had an equal split of male and female participants. 45 % of the studies (<em>n</em> = 133) reported gender differences, suggesting that gender does impact on e-micromobility use, with considerably more data on male users compared to female users. There was also a lack of reporting on non-binary gender data. With the application of gender factors that have been previously established in the transport domain, this review paper also identifies gender data gaps in areas such as care related journeys, encumbered travel and ergonomic design. The importance in accounting for the role of gender in the development of policy targeting e-micromobility is also presented from the findings of the review. The paper calls for more careful consideration of gender in the design and reporting of e-micromobility studies and presents recommendation that are applicable to a broad range of stakeholders in the e-micromobility domain.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104127"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350632","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}