Journal of Transport Geography最新文献

{"title":"The governance of emerging mobility technologies in Finland: A Q-methodology study","authors":"Janne J. Olin,&nbsp;Miloš N. Mladenović","doi":"10.1016/j.jtrangeo.2025.104257","DOIUrl":"10.1016/j.jtrangeo.2025.104257","url":null,"abstract":"<div><div>The recent emergence of numerous smart mobility technologies has raised difficult questions concerning the integration of transport and technology governance. To avoid undesirable sociotechnical trajectories and fill the institutional void that emerging technologies typically face, it is crucial to understand relevant actors' views – to explore the reasons for conflict and find common ground for structuring comprehensive and inclusive deliberation. We applied the Q-methodology to identify and analyse different viewpoints concerning the governance of emerging mobility technologies in Finland. A comprehensive sample of 84 people involved in the development and governance of Mobility-as-a-Service, transport automation and shared e-scooter services in Finland participated in the study. The analysis revealed three viewpoints of major interest. “The Cautious Innovators” prioritise risk aversion over the quick implementation of technologies. “The Enablers” view the development of mobility technologies as an international race and wish to maintain Finland's forerunner position. “The Disappointed Optimists” share the desire for the rapid implementation of new mobility technologies but express severe disappointment about how these technologies are currently governed in Finland. Based on the findings, we highlight challenges with the current governance approach and suggest improvements concerning participatory practices and actor roles. Finally, we lay out directions for future research, which should pay attention to the nuances of actor-level interactions and power relations across dynamic governance networks by utilising a broader base of social science concepts and methods.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104257"},"PeriodicalIF":5.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887246","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":"How does the effect of walkability on walking behavior vary with the time of day? A study of Shenzhen, China","authors":"Xuan He,&nbsp;Sylvia Y. He","doi":"10.1016/j.jtrangeo.2025.104210","DOIUrl":"10.1016/j.jtrangeo.2025.104210","url":null,"abstract":"<div><div>Understanding the relationship between walkability and walking behavior is essential for designing pedestrian-friendly cities. This study examines the spatiotemporal patterns of walkability's effects on walking behavior in Shenzhen, China. To assess temporal aspects, we divided the time of day into five periods: before the AM peak, during the AM peak, between the AM and PM peaks, during the PM peak, and after the PM peak. Walkability was quantified based on four pedestrian needs—safety, convenience, continuity, and attractiveness—and incorporated facility opening hours and pedestrian visual factors derived from street view imagery. Over 1.75 billion walking trips were collected from six months of mobile phone data in 2021. We examined the temporal dynamics of walkability's relative importance and spatial effects on walking trips through machine learning and geospatial models. The results show that convenience was ranked the highest among the four pedestrian needs. Living services were the most important element during the AM peak and between the AM and PM peaks. For the other three periods, leisure services were the highest-ranked factor in relative importance. Based on these results, we propose timing-specific intervention strategies for the building of walkable and inclusive cities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104210"},"PeriodicalIF":5.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887247","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":"BikeshareGAN: Predicting dockless bike-sharing demand based on satellite image","authors":"Yalei Zhu ,&nbsp;Yuankai Wang ,&nbsp;Junxuan Li ,&nbsp;Qiwei Song ,&nbsp;Da Chen ,&nbsp;Waishan Qiu","doi":"10.1016/j.jtrangeo.2025.104245","DOIUrl":"10.1016/j.jtrangeo.2025.104245","url":null,"abstract":"<div><div>Understanding the drop-off demand of Dockless Bikeshare Systems (DBS) is crucial for efficient urban management but has long been challenging. Conventional prediction models are mostly regression-based, requiring multisource and fine-grained GIS data (e.g., socio-demographics, land use, POI), whose collection could be laborious and costly. Some data do not even exist for fast-growing cities in the developing world, largely hindering the application of the conventional models. Noting that high dimensional satellite images contain rich data about complex urban systems (e.g., density, land use, transportation network), we hypothesize that Generative Adversarial Networks (GAN) can embed inherent urban features as the latent space, to predict DBS demand directly from satellite images effectively. To test the hypothesis, we took Shenzhen - a city with diverse urban forms as a case study. Pairwise satellite image and DBS drop-off heatmap during AM/PM and non-peak hours on a random workday became the input and output images for Pix2Pix, a proven GAN framework, to train the image-to-image translation at the 200 m level. Fake heatmaps were generated and validated by ground truth using loss functions including L1, L2, and Structure Similarity Index Measure (SSIM). R² was also calculated to compare our pixelated results to conventional regression models. First, simply taking a satellite image as the input achieved ∼0.49 R² (82 % SSIM), outperforming many regression-based models that require a bunch of numeric/vector inputs. Moreover, pixelating vector maps (e.g., metro station, road network, office building) onto satellite images significantly improved the accuracy (∼0.56 R²/90 % SSIM), outperforming some machine learning or hybrid deep learning models in this regard (R² 0.18–0.76). Therefore, GAN is plausible to predict DBS demand from solely satellite images, while feeding more urban layers significantly improves the predictive power. Our raster-oriented framework can effectively aid the decision-making process for DBS implementation and operation in developing countries where up-to-date GIS data is less accessible.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104245"},"PeriodicalIF":5.7,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878678","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":"COVID-era built environment and travel: Insights from location-based services data","authors":"Kevin Kane ,&nbsp;Huixin Zheng","doi":"10.1016/j.jtrangeo.2025.104218","DOIUrl":"10.1016/j.jtrangeo.2025.104218","url":null,"abstract":"<div><div>This study revisits the linkage between land use interventions and travel behavior in the COVID era using increasingly available cell phone-based individual mobility data. Reducing the carbon emissions associated with personal vehicle travel is crucial to achieving climate targets; policies such as California's Senate Bill 375 require that land use planning achieve climate targets at the regional level. The implementation relies heavily on local placemaking efforts such as higher density infill development and walkable streets which have long been considered potential reducers of automobile travel. However, the rise of telework, decline of transit, and increase in pedestrian deaths following the pandemic have cast doubts on the efficacy and cost-effectiveness of strategies seeking to foster low-Vehicle Miles Traveled (VMT) location patterns. This study uses StreetLight Insight data on vehicle trip origination at the census tract-level before and after the emergence of COVID-19 (2019 and 2021) to assess the contribution of several built environment measures to VMT and to the share of short trips in the 6-county Southern California region. Despite concerns over COVID-induced changes, we find that several built environment measures remain solidly associated with travel efficiency in multivariate models investigating VMT levels, VMT rebound, and the share of trips that are shorter than two miles. While the prevalence of neighborhood-scale destinations is an activity generator, it also fosters shorter trips, and a region-level measure of job accessibility provides some evidence that more populated areas nearer the region's core did indeed struggle to return to pre-COVID activity levels. After the first year of the pandemic, VMT rebound was most pronounced in tracts with a high share of residents under the age of 18, suggesting that while many adults did not return to prior activity patters (e.g. due to telecommuting), children mostly did. Findings suggest that local policies and placemaking efforts, including 15-minute communities, may still be promising trip reducers, while near real-time data provides a mechanism for far faster performance evaluation.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104218"},"PeriodicalIF":5.7,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881524","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":"Geospatial resilience of shipping alliances: Navigating the Red Sea crisis","authors":"Dong Yang ,&nbsp;Xiang Yue ,&nbsp;Wei Yim Yap","doi":"10.1016/j.jtrangeo.2025.104254","DOIUrl":"10.1016/j.jtrangeo.2025.104254","url":null,"abstract":"<div><div>In recent years, various disruptions have had widespread effects on the shipping industry, making the resilience of shipping companies increasingly crucial. Limited research has linked resilience with the operational strategies of shipping alliances. This paper addresses this gap by proposing a framework that describes how alliances adjust their operations at a spatial level in response to crises, using the Red Sea crisis as a case study. By leveraging extensive shipping satellite data, data mining algorithms, and appropriately developed models, the response strategies, performance, and network characteristics of the three main shipping alliances are assessed. The findings reveal that during the crisis, the shipping networks of the alliances became significantly more dispersed, with alliances increasing their port skipping rates to maintain relatively stable schedule reliability. Ports in the Red Sea region were skipped the most, and other ports in Asia and the Middle East also showed some increase. Meanwhile, vessel allocation and port coverage remained relatively stable. We also discussed the possible relationship between response strategies and the performance of alliances and suggested that increasing port skipping can improve their performance during a crisis. This research provides insights into the resilience of shipping alliances when confronted with unexpected disruptions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104254"},"PeriodicalIF":5.7,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874197","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":"Nonlinear effects of built environment on ridesplitting ratio: Discrepancies across sharing motivations","authors":"Yite Sun ,&nbsp;Xiaobing Liu ,&nbsp;Rui Wang ,&nbsp;Yun Wang ,&nbsp;Xuedong Yan","doi":"10.1016/j.jtrangeo.2025.104255","DOIUrl":"10.1016/j.jtrangeo.2025.104255","url":null,"abstract":"<div><div>Ridesplitting consolidates passengers with similar routes, offering a sustainable alternative that enhances traffic efficiency, mitigates congestion, and reduces air pollution. However, currently the ridesplitting ratio remains low, with existing research inadequately addressing the combined effects of sharing motivations and built environment on its adoption. To address this gap, we develop a rule-based algorithm to infer ridesplitting motivations based on individual travel patterns, extracted from a massive set of observed ride-hailing data, the thresholds of which are determined by a time-based-sampling validation method. Employing eXtreme Gradient Boosting (XGBoost) models and partial dependence plots (PDP), we further analyze the nonlinear impacts of the built environment on the ridesplitting ratio across different user groups. Results indicate that our algorithm significantly outperforms k-means clustering in terms of accuracy, with company density at the destination being a key determinant of the ridesplitting ratio. Additionally, significant heterogeneity is observed in both travel patterns and the nonlinear effects of the built environment among different user groups. This study provides valuable insights on how governments and transportation network companies (TNCs) could promote ridesplitting services through strategic modifications based on the built environment.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104255"},"PeriodicalIF":5.7,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874196","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":"Discussing teleworking and travel implications in Barcelona from a gender perspective","authors":"Lucía Mejía-Dorantes ,&nbsp;Lídia Montero ,&nbsp;Jaume Barceló","doi":"10.1016/j.jtrangeo.2025.104251","DOIUrl":"10.1016/j.jtrangeo.2025.104251","url":null,"abstract":"<div><div>Two decades ago, information and communication technologies were expected to precipitate changes, manifesting in the reorganisation of mobility patterns. The pandemic led to a disruption in the established daily routines, prompting a surge in e-commerce, e-learning and remote working. However, reports indicate disparities in access to e-services and mobility reduction. Nowadays, the prevalence of e-commerce and the practice of remote work is indeed widespread but in-depth analyses are necessary. The objective of this study is to gain a better understanding of teleworking practices and their impact on everyday mobility considering individual's characteristics, such as gender, place of residence, family structure and other sociodemographic characteristics in the Metropolitan Region of Barcelona. This paper is based on a data-driven approach, based on sequence analysis of individual profiles and clustering techniques to examine the impact of teleworking on mobility choices and spatiotemporal patterns. Our results show that there are significant differences in teleworking practices according to the area of residence, education, and having young children in the household. Interestingly, gender does not play a determinant role as such, but rather as a combination of factors, including young children in the household or high educational level. Furthermore, this study highlights inequalities, individuals likely to have face-to-face working arrangements tend to have lower education levels, likely to live in poor-deserved public transport areas. The implications of this study are of relevance for transport and city planning policy interventions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104251"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859055","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":"Resilience measurement and enhancement of population mobility network in Beijing-Tianjin-Hebei urban agglomeration under extreme rainfall impact","authors":"Na Zhao ,&nbsp;Yan Zhang ,&nbsp;Xinyan Chen ,&nbsp;Junjie Xiao ,&nbsp;Yuwen Lu ,&nbsp;Wei Zhai ,&nbsp;Guofang Zhai","doi":"10.1016/j.jtrangeo.2025.104253","DOIUrl":"10.1016/j.jtrangeo.2025.104253","url":null,"abstract":"<div><div>In the context of globalization and regional integration, population mobility has become a critical vector for inter-city connections, essential for the stability and prosperity of urban agglomerations. However, extreme rainfall can disrupt transportation network connectivity and inter-city population flow, potentially triggering chain reactions in social sectors, thereby threatening the sustainable development of urban regions. This study examines the resilience of population mobility networks in the Beijing-Tianjin-Hebei urban agglomeration using Unicom's Smart Footprint big data. Through complex network analysis methods, this study simulates a 100-year extreme rainfall scenario and develops a comprehensive resilience assessment model. The model incorporates perturbation factors specific to extreme rainfall conditions and lays the foundation for optimization and enhancement strategies. The study finds that the population mobility network of the Beijing-Tianjin-Hebei urban agglomeration would experience a relative efficiency decline of 26 % under extreme rainfall scenarios. Heavy precipitation causes a mobility decrease of 50 % or more across cities in the agglomeration, with declines exceeding 90 % in Tianjin and its surrounding areas. In contrast, Beijing maintains its central position in the network both before and after the heavy rainfall disturbance. Finally, in the analysis of network efficiency recovery, the prioritized restoration of Tianjin's urban nodes significantly enhances overall network efficiency. Due to its higher connectivity and superior flood control infrastructure, Beijing remains largely unaffected in the network before and after the heavy rainfall disturbance. These findings provide practical guidance for enhancing population mobility networks resilience in both the Beijing-Tianjin-Hebei urban agglomeration and similar urban regions facing extreme rainfall events.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104253"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858955","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":"Towards better parking provision: Insights from parking lot utilization analysis of Hangzhou, China","authors":"Wei Tang ,&nbsp;Liang Zheng ,&nbsp;Zhenyu Mei","doi":"10.1016/j.jtrangeo.2025.104247","DOIUrl":"10.1016/j.jtrangeo.2025.104247","url":null,"abstract":"<div><div>Parking provision is a key concern in parking planning and management. Policymakers and parking practitioners often over-supply parking due to fears of shortages, leading to inefficient and unstrategic allocation. There is limited understanding of how many existing parking spaces are used and what factors affect their use. Most past research has focused on residential or on-street parking, leaving travel-related parking, especially at the parking lot level, understudied. This study analyzes data from 2592 public parking lots with over 700,000 spaces in Hangzhou, China, to assess parking utilization and explore influencing factors. Using advanced machine learning techniques, including XGBoost and SHAP values, the study investigates nonlinear relationships between parking utilization and factors such as parking lot attributes, land use, urban accessibility, and trip factors. Results reveal a significant oversupply of parking in Hangzhou, with average parking lot utilization rates of 0.57 on workdays and 0.48 on non-workdays. 56 % of parking spaces remain unused during workdays, and 78.2 % of parking lots are oversupplied (utilization rate below 0.85). SHAP analysis shows that small-scale lots have higher utilization rates compared to large-scale ones. Heterogeneous land use leads to significant differences in utilization; facility aggregation increases utilization, while a high land use mix and good public transportation accessibility reduce it. Given the substantial amount of unused parking observed, this study emphasizes the need for better parking provision policies in cities. The findings offer policy implications for improving parking provision and promoting a sustainable urban parking market.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104247"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859058","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 role of parental involvement and gender on travel mode decisions to School in Bali, Indonesia","authors":"I. Made Sukmayasa ,&nbsp;Jaime Soza-Parra ,&nbsp;Dick Ettema","doi":"10.1016/j.jtrangeo.2025.104250","DOIUrl":"10.1016/j.jtrangeo.2025.104250","url":null,"abstract":"<div><div>Adolescence is marked by exploratory, risk-taking behaviours and gender-specific challenges that often involve parental involvement in travel decisions. This study examines the interplay between parental influence, gender, and travel mode choice in shaping school travel behaviours by analysing data from 2402 adolescents aged 12–18 in Bali, Indonesia. Explanatory factor analysis (EFA) was used to identify underlying latent constructs related to travel attitudes, and a multinomial logit (MNL) model was estimated to analyse the probability of choosing different travel modes while accounting for parental involvement, gender, and other individual-level characteristics. The findings show that grade, gender, school location, mode availability, parents' employment status, family income, and parental involvement influence travel mode decisions. The majority (55.62 %) of adolescents make travel decisions jointly with parents, with parental influence being more substantial in junior high school. Despite perceiving motorcycles as less safe than other modes, senior high school students are more likely to use these private vehicles. In particular, Boys prefer motorcycles as they are persuasive in convincing parents to grant them access, especially in areas with little societal pressure against underage driving. In contrast, girls are more likely to be escorted, aligning with parental preferences to avoid unsafe motorcycle use. Moreover, when parents are the primary decision-makers, gender differences in travel choices diminish as safety concerns take precedence, discouraging private vehicle use. These findings underscore the need for enforcing legal driving age limits, particularly during the transition to senior high school. Addressing this issue requires harmonising transport and school policies, strengthening traffic law enforcement, providing safer travel alternatives, ensuring secure school routes, and increasing parental oversight.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104250"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859059","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}