{"title":"Geospatial analysis of freight accessibility and job attraction: The role of interstate ramps, airports, ports, and rail","authors":"Meiyu (Melrose) Pan , Pankaj Dahal , Hyeonsup Lim , Birat Pandey","doi":"10.1016/j.jtrangeo.2025.104131","DOIUrl":"10.1016/j.jtrangeo.2025.104131","url":null,"abstract":"<div><div>The number of jobs within an industry is significantly influenced by geographical location, with transportation infrastructure playing a key role. While previous research has largely focused on how access to jobs affects employment, less attention has been given to how transportation infrastructure impacts business operations and job attraction. This study addresses this gap by examining how the ease of transporting products to key transportation facilities affects job numbers in freight-intensive industries. Using job data from the Longitudinal Employment Household Dynamics dataset at the Census Tract level, we applied a non-parametric model to assess the impact of proximity to interstate ramps, rail intermodals, ports, and airports. Our analysis revealed that closer transportation infrastructure generally has a greater impact on employment. Specifically, interstate ramps are crucial for attracting jobs, particularly in rural areas, while airport proximity is essential for industries dealing with high-value, time-sensitive goods, as seen notably in Massachusetts. The importance of transportation facilities varies considerably across states and industries. The findings and method in this study can be used by transportation agencies for freight planning.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104131"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146523","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}
Guozheng Zhang , Dianhai Wang , Mengwei Chen , Jiaqi Zeng , Zhengyi Cai
{"title":"Assessing urban-scale spatiotemporal heterogeneous metro station coverage using multi-source mobility data","authors":"Guozheng Zhang , Dianhai Wang , Mengwei Chen , Jiaqi Zeng , Zhengyi Cai","doi":"10.1016/j.jtrangeo.2024.104081","DOIUrl":"10.1016/j.jtrangeo.2024.104081","url":null,"abstract":"<div><div>Assessing the coverage of metro stations is crucial for evaluating and guiding metro construction. Existing methods mainly rely on surveys to obtain the coverage radii by fitting the first-mile distance distribution of metro passengers, which is costly and time-consuming to capture the spatiotemporal heterogeneity at the urban scale. Daily generated multi-source mobility data offers the possibility of a broad and low-cost assessment. This study proposes a framework to assess the coverage radius of metro stations using metro smart card data and Baidu population heatmap data. First, we build a nested logit model to model travelers' mode choice and station selection behaviors, considering both the competitiveness of the metro over other modes and travelers' sensitivity to first-mile distance. We then establish the relationship between choice probability and metro station inflows, calibrating the parameters through a genetic algorithm-based bi-objective optimization. Finally, we propose a novel metro station coverage assessment method using a distance-decay function that describes the cumulative mode choice proportions. An empirical analysis is conducted using Hangzhou, a sizeable monocentric city in China. The results reveal significant tidal patterns in travel behavior parameters. During the morning peak, suburban travelers rely more on the metro, whereas evening peak reliance is more pronounced among urban center travelers. This aligns with Hangzhou's commuting patterns. Moreover, significant differences occur in attraction patterns between downtown and suburban stations. Suburban metro stations exhibit larger coverage radii due to the lack of convenient alternative transport modes, a result that existing methods fail to capture. This evaluation framework can be extended to other cities, offering valuable insights for enhancing metro services.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104081"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790021","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}
Xiaogang Guo , Mengyuan Fang , Luliang Tang , Zihan Kan , Xue Yang , Tao Pei , Qingquan Li , Chaokui Li
{"title":"An adaptive OD flow clustering method to identify heterogeneous urban mobility trends","authors":"Xiaogang Guo , Mengyuan Fang , Luliang Tang , Zihan Kan , Xue Yang , Tao Pei , Qingquan Li , Chaokui Li","doi":"10.1016/j.jtrangeo.2024.104080","DOIUrl":"10.1016/j.jtrangeo.2024.104080","url":null,"abstract":"<div><div>Origin-Destination (OD) flow, as an abstract representation of the object's movement or interaction, has been used to reveal the movement patterns of human activities and the coupling process of the human-land system. As a developing spatial analysis method, OD flow clustering can be used to identify the dominant trends and spatial structures of urban mobility. However, urban flow exhibits universal heterogeneity, which is mainly manifested in irregular shapes, uneven distribution, and obvious scale differences. The existing methods are constrained by specific spatial scales and sensitive parameter settings, making it difficult to reveal heterogeneous urban mobility patterns within travel OD data. In this paper, we propose an OD flow analysis method that integrates spatial statistics and density clustering. This method can determine parameter values from datasets without manual intervention and adaptively identify multi-scale mixed OD flow clusters. In the simulation experiment, the proposed method accurately detects all preset OD clusters with less noise. It outperforms the baseline methods in terms of Silhouette Coefficient, V-measure, and Fowlkes Mallows index. As a case study, this method is applied to OD data from Chengdu, China, extracting 63 representative flow clusters and revealing the trends of heterogeneous urban mobility across different lengths and densities for public transit optimization.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104080"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790022","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}
Yanchao Wang , Xiangyang Guan , Ekin Ugurel , Cynthia Chen , Shuai Huang , Qi R. Wang
{"title":"Exploring biases in travel behavior patterns in big passively generated mobile data from 11 U.S. cities","authors":"Yanchao Wang , Xiangyang Guan , Ekin Ugurel , Cynthia Chen , Shuai Huang , Qi R. Wang","doi":"10.1016/j.jtrangeo.2024.104108","DOIUrl":"10.1016/j.jtrangeo.2024.104108","url":null,"abstract":"<div><div>Passively generated mobile data has increasingly become a crucial source for studying human mobility; however, research addressing potential biases within these datasets remains scarce. This study delves into the critical issue of inherent biases in mobile data, a resource that has transformed the study of human mobility. Using a well-established mobile dataset, we analyze biases in 11 diverse metropolitan statistical areas (MSAs) and spotlight disparities in data quality and mobility metric biases, as compared to the National Household Travel Survey (NHTS). A two-level hierarchical linear regression model unveils the contributing factors to these biases, most notably, data quality, user sociodemographic traits, and city sizes. We further highlight the unexpected introduction of uncertainty by stay-point algorithms during data processing. The findings of our research underscore the necessity of meticulously identifying, understanding, and mitigating such biases in mobile data before its deployment in shaping transportation policies and investments. Ultimately, our study advances our understanding of bias in mobility data, which is a fundamental step towards refining methodologies that can effectively address these biases, thereby enhance the value and accuracy of mobile data in transportation studies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104108"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-driven approach for assessing the impact of newly developed cycling infrastructure on cyclists' route choice","authors":"H. Tera, A. Hadachi, M. Pourmoradnasseri","doi":"10.1016/j.jtrangeo.2024.104094","DOIUrl":"10.1016/j.jtrangeo.2024.104094","url":null,"abstract":"<div><div>Developing safe and efficient cycling networks is a vital part of creating more bike-friendly and, thus, more sustainable communities. To promote cycling effectively, continuously improving and expanding the cycling network is important. Yet, understanding and measuring the impact of newly developed cycling infrastructure is not always a straightforward task, which is often performed using limited-scope surveys or simulations. The present study aims to present a data-driven method for estimating the impact of recently developed links in the cycling network by utilizing public bicycle sharing (PBS) data. The case of Tartu, Estonia, is examined using PBS data from three consecutive years to measure pre-post change in the utilization of street segments with newly built cycling infrastructure. Bicycle-sharing trips that make use of one of these segments are extracted, and various metrics are calculated and compared. Additionally, novel metrics for measuring the impact of new developments in cycling network are presented. Specific examples of significant shifts in route choice are detected and visualized. The results indicate that the share of PBS trips that employ any of the newly improved street segments has increased compared to the pre-construction period. This study demonstrates how public bicycle sharing data can be effectively used to assess the impact of infrastructure on cyclists' route choice, and presents specific findings in the case of Tartu.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104094"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823252","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 transport scarcity affect the everyday lives of women? Herstories of daily mobility in Santiago de Cuba","authors":"Monika Maciejewska , Wojciech Kębłowski","doi":"10.1016/j.jtrangeo.2024.104103","DOIUrl":"10.1016/j.jtrangeo.2024.104103","url":null,"abstract":"<div><div>Daily mobility in the city of Santiago de Cuba relies almost entirely on public transport (PT) and walking, making it one of the least carbon-intensive urban transport systems globally. Nevertheless, the local PT network faces numerous challenges. Material scarcity, which has persisted since the 1990s, has intensified in the last five years due to the tightening US-imposed embargos, recurring oil shortages, and the COVID-19 pandemic. The lack of fuel, vehicles, and spare parts has led to transport scarcity, the severe reduction of the quality of PT services. In this context, we aim to explore (1) how women experience mobility within the context of transport scarcity, and (2) how transport scarcity affects the everyday lives of women—attending to their travel behaviour, experiences, coping strategies, and preferences. Additionally, we seek to explain how these mobility challenges influence other social roles and engagement of women passengers in their daily activities. We observe that women, who frequently combine the roles of wage earners and primary caregivers, often experience heightened levels of stress and a shortage of sleep, due to their constrained time availability. The unreliability and unpredictability of the local transport system exacerbate the difficulty of planning daily activities. Mobility typically requires a substantial commitment of time and effort, which passengers can mitigate only by significantly increasing their expenses on mobility. Waiting at a PT stop demands an active engagement, involving a constant search for travel opportunities. This process is often facilitated by mutual support among passengers, and interactions with transport workers. Passenger experiences frequently occur in overcrowded and uncomfortable conditions, which are particularly challenging for senior, pregnant, or menstruating women, as well as women travelling with children.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104103"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990323","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":"Evaluating sustainable urban mobility for public transit incorporating the geospatial modeling approach","authors":"Jae-Yeon Hwang, Shin-Hyung Cho, Shin Hyoung Park","doi":"10.1016/j.jtrangeo.2025.104110","DOIUrl":"10.1016/j.jtrangeo.2025.104110","url":null,"abstract":"<div><div>Cities have established public transit infrastructures to provide equitable services to every citizen at a low cost, thus minimizing traffic congestion. Public transportation facilities, including bus stops, urban railway stations, and terminals, provide physical convenience to passengers. Considering economic efficiency, the location selection of public transport facilities causes an imbalance in public transit accessibility within the city. Therefore, to alleviate spatial imbalance, it is necessary to devise a public transportation system evaluation method. This study uses revealed travel data to develop a competitiveness index for sustainable urban mobility in public transit. The developed competitiveness index considers two aspects: (1) mobility factors referring to in-vehicle, transfer, and waiting times, and (2) travel demand and economic factors of travel costs. Square cells of 500 m × 500 m were used to apply the geographical explanatory variables in Seoul. The developed competitiveness index ranged from −22.7 to 23.25, thus confirming the difference in sustainable mobility services between the urban center and outskirts. Notably, a spatial cell with subway stations has a high competitiveness index because subway facilities are the main factors that increase the competitiveness of public transit. Multiscale geographically weighted regression, which identifies interactions through spatial dependence and heterogeneity, is employed to analyze the causal relationship between spatial mode competitiveness and socioeconomic characteristics. The developed index is expected to contribute to the establishment of public transportation policies and systems to alleviate imbalances by identifying areas vulnerable to public transit services.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104110"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990326","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":"Shipping decarbonization and public emergencies: How does COVID-19 impact container shipping carbon emissions?","authors":"Zhaopei Tang , Liehui Wang","doi":"10.1016/j.jtrangeo.2025.104124","DOIUrl":"10.1016/j.jtrangeo.2025.104124","url":null,"abstract":"<div><div>Shipping carbon emissions is becoming increasingly susceptible to emergency events, with the coronavirus disease 2019 (COVID-19) exerting one of the most long-lasting effects. Clarifying the impact of COVID-19 on shipping carbon emissions is crucial for reducing and decarbonizing the shipping industry and controlling global climate change. This study utilizes the automatic identification system and socio-economic data to measure global containerized carbon emissions with the help of the bottom-up method, explores the impact of COVID-19 on carbon emissions based on the “global-regional-national-port” multi-scale, and conducts empirical tests with the help of the between-within model. Globally, container shipping carbon emissions increased over 50 % compared with those of 2019, with four spatial hotpots. Regionally, carbon emissions increased most significantly in the Panama Canal, Strait of Gibraltar, and Black Sea Strait. On a national scale, the differences in carbon emissions from containerized maritime transport between countries have narrowed compared to before the COVID-19 outbreak, with head country primacy decreasing. At the port level, the effects of COVID-19 show significant heterogeneity: emissions decreased at the ports in Northern Europe but increased in Asian. The number of new COVID-19 cases in the origin or destination country significantly increased container shipping carbon emissions, with variations depending on geographical locations and economic development levels.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104124"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143035309","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":"Effect of protected bike lanes on bike-sharing ridership: A New York City case study","authors":"Ricardo Chahine , Jorge Duarte , Konstantina Gkritza","doi":"10.1016/j.jtrangeo.2025.104147","DOIUrl":"10.1016/j.jtrangeo.2025.104147","url":null,"abstract":"<div><div>Bike-sharing is an emerging transportation service that has been found to offer a sustainable and convenient option for transportation, especially in urban areas. It also complements transportation for public services such as buses, trains, or subways. Nevertheless, bike-sharing adoption remains low in comparison to car usage, potentially due to cyclists' concerns about their safety on the road. In this regard, this research aims to investigate the impact of the implementation of protected bike lanes on bike-sharing ridership, given that such measures have been found to improve cyclists' road safety perceptions. The study uses ridership data from 2014 to 2019, obtained from the Citi Bike System Data in New York City. A difference-in-differences analysis with multiple time periods and groups was conducted to understand the impact of introducing multiple protected bike lanes in the city. The analysis provided evidence of a significant uptick in ridership after the installation of protected bike lanes, with the most pronounced increases observed in areas directly served by these new lanes. The study did not find apparent trends related to bike lane placement or seasonal variations in introduction dates. Our findings provide specific insights that enhance bike lane placement strategies and improve coordination between operators and stakeholders in this regard.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104147"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350633","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}
Andrea Rodríguez , M. Mar Cerbán , Lourdes Trujillo
{"title":"Geopolitical and competition analysis: The case of Western African ports and the port of Las Palmas in the mid-Atlantic European Islands","authors":"Andrea Rodríguez , M. Mar Cerbán , Lourdes Trujillo","doi":"10.1016/j.jtrangeo.2025.104141","DOIUrl":"10.1016/j.jtrangeo.2025.104141","url":null,"abstract":"<div><div>This article examines the factors shaping the competitiveness of container shipping in the Western African port region, focusing on the Port of Las Palmas (LPAP). Serving as a case study of an island region, the research identifies strategies to enhance the port's competitive position by analyzing insights from regional agents and enterprises. Using Porter's extended diamond model and two analytical approaches—Traditional and Weighted—this study highlights the critical influence of the European Union (EU) and other supranational entities on competitive (dis)advantages, particularly in manufacturing, where environmental regulations challenge shipping operations. While external competition benefits road transport and storage facilities, it constrains value-added services. Infrastructure development shows mixed results, with port authority governance emerging as a major limitation due to spatial constraints for business expansion.</div><div>Key policy recommendations include incentivizing green technology adoption and EU regulatory compliance, fostering public-private partnerships to enhance governance and attract investment, and diversifying operations with value-added services, such as manufacturing and efficient customs processes. Strengthening regional integration through collaboration between West African ports and the Canary Islands, aligned with EU and ECOWAS policies, alongside improving port-to-land transportation links, is essential for enhancing the LPAP's competitiveness.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104141"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378271","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}