Pub Date : 2024-12-09DOI: 10.1016/j.jtrangeo.2024.104079
Kailai Wang, Gino J. Lim, Bruce Race, Yunpeng (Jack) Zhang, Lu Gao, Fengxiang (George) Qiao
This study examines the spatial dynamics of warehouse location choice and the interplay between e-commerce, logistics businesses, and supply chain entities in three major urban areas in Texas: Houston, Austin, and Dallas-Fort Worth. We investigate the key factors influencing warehouse selection while accounting for spatial spillover effects (i.e., co-locational relationships), using data from 2003 to 2016. A major finding is that different types of business establishments exert distinct influences on warehouse location choice, varying across spatial scales. Notably, the effects from neighboring spatial units sometimes diverge from the direct impacts. For instance, manufacturing establishments have a positive direct influence on warehouse location choice in all three study areas, while neighboring manufacturing units show negative effects in Austin and Dallas. The analysis also highlights that when spatial interactions among e-commerce facilities, logistics businesses, and supply chain entities in adjacent units are accounted for, several transportation infrastructure and socioeconomic factors lose their statistical significance. The results provide valuable insights for policymakers, industry practitioners, and urban planners for informed warehousing facility allocation and development decisions in Texas metropolitan areas.
{"title":"Examining spatial patterns and economic interactions of logistics activities across three Texas metropolitan areas","authors":"Kailai Wang, Gino J. Lim, Bruce Race, Yunpeng (Jack) Zhang, Lu Gao, Fengxiang (George) Qiao","doi":"10.1016/j.jtrangeo.2024.104079","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104079","url":null,"abstract":"This study examines the spatial dynamics of warehouse location choice and the interplay between e-commerce, logistics businesses, and supply chain entities in three major urban areas in Texas: Houston, Austin, and Dallas-Fort Worth. We investigate the key factors influencing warehouse selection while accounting for spatial spillover effects (i.e., co-locational relationships), using data from 2003 to 2016. A major finding is that different types of business establishments exert distinct influences on warehouse location choice, varying across spatial scales. Notably, the effects from neighboring spatial units sometimes diverge from the direct impacts. For instance, manufacturing establishments have a positive direct influence on warehouse location choice in all three study areas, while neighboring manufacturing units show negative effects in Austin and Dallas. The analysis also highlights that when spatial interactions among e-commerce facilities, logistics businesses, and supply chain entities in adjacent units are accounted for, several transportation infrastructure and socioeconomic factors lose their statistical significance. The results provide valuable insights for policymakers, industry practitioners, and urban planners for informed warehousing facility allocation and development decisions in Texas metropolitan areas.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"43 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823257","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}
Pub Date : 2024-12-07DOI: 10.1016/j.jtrangeo.2024.104085
Mengyuan Lu, Edgar Jimenez Perez, Keith Mason, Max Z. Li
Spatial and temporal coordination of air-high speed rail (HSR) intermodal networks is important to reduce emission, improve service, enhance efficiency, and reduce costs in the provision of air-HSR integration. This paper constructs a hierarchical optimisation model that first considers a spatial scope to solve the problem of route allocation and frequency choice which minimises total environmental, operational and passenger cost with a Mixed-Integer Linear Programming (MILP) model, based on a demand estimation for passenger trips between city pairs. Then, the second hierarchical level of the model considers a temporal scope to maximise connection opportunities between the resulting air and HSR networks using time windows to adjust frequencies with a Prescriptive Integer Quadratic Programming (PIQP) model. An application to a network of 40 cities in mainland China with both air and HSR transport service shows that the total emission of the network can be reduced by 22 %. Comparative analyses show that optimising for passenger costs favours increased air travel on medium- and long-haul routes, while an emissions-focused approach encourages a shift toward HSR for short and medium distances. Sensitivity analyses on carbon pricing further highlight the potential of gradual price adjustments to incentivise lower-emission modes without requiring additional HSR infrastructure.
{"title":"A hierarchical spatial and temporal optimisation of the air-high speed rail intermodal network","authors":"Mengyuan Lu, Edgar Jimenez Perez, Keith Mason, Max Z. Li","doi":"10.1016/j.jtrangeo.2024.104085","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104085","url":null,"abstract":"Spatial and temporal coordination of air-high speed rail (HSR) intermodal networks is important to reduce emission, improve service, enhance efficiency, and reduce costs in the provision of air-HSR integration. This paper constructs a hierarchical optimisation model that first considers a spatial scope to solve the problem of route allocation and frequency choice which minimises total environmental, operational and passenger cost with a Mixed-Integer Linear Programming (MILP) model, based on a demand estimation for passenger trips between city pairs. Then, the second hierarchical level of the model considers a temporal scope to maximise connection opportunities between the resulting air and HSR networks using time windows to adjust frequencies with a Prescriptive Integer Quadratic Programming (PIQP) model. An application to a network of 40 cities in mainland China with both air and HSR transport service shows that the total emission of the network can be reduced by 22 %. Comparative analyses show that optimising for passenger costs favours increased air travel on medium- and long-haul routes, while an emissions-focused approach encourages a shift toward HSR for short and medium distances. Sensitivity analyses on carbon pricing further highlight the potential of gradual price adjustments to incentivise lower-emission modes without requiring additional HSR infrastructure.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"10 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790048","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}
Pub Date : 2024-12-07DOI: 10.1016/j.jtrangeo.2024.104083
Ho Yin Chan, Wai-Yi Tse, Anthony Chen
Recent discussions on public transport as public space are particularly relevant in transit-oriented cities, where urban design profoundly shapes connectivity and pedestrian flow. Strategies such as destination consolidation, node manipulation, and privatized infrastructure, including walkways and transit systems, significantly influence these patterns. Assimilating ideas from nudge and practice theories, this study examines pedestrians' reactions to hypothetical scenarios of opening quasi-public paid areas in metro stations to the public. Using three pairs of interconnected metro stations in Hong Kong—two linked by private paid walkways (stated preference) and one by public unpaid walkways (revealed preference)—a questionnaire survey (N=419) and discrete choice modeling were conducted. Results show adverse weather, such as rain or extreme temperatures, is a primary driver for choosing weather-protected underground paths. However, proximity and distance do not consistently predict route choice, suggesting the influence of less visible factors. For example, retail shops along a route subtly encourages usage, even for individuals with limited interest in shopping, serving as markers of convenience or familiarity. Routes with proprietary underground exits also promote underground usages. These findings reveal how deliberate design, ingrained habits and symbolic meanings collectively shape pedestrian decisions. By uncovering the social-political dynamics of pedestrian movement, this study contributes to the politics of routes discourse and offers quantitative insights for integrating micro-scale flow management in public space with broader urban planning strategies for transport infrastructure. It underscores the need to design public spaces that consider the subtle power dynamics emerging from the interplay between everyday practices and the socio-material configuration of space.
{"title":"Unlocking the gates: Pedestrian route choice in transforming metro station paid areas into mobile public spaces","authors":"Ho Yin Chan, Wai-Yi Tse, Anthony Chen","doi":"10.1016/j.jtrangeo.2024.104083","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104083","url":null,"abstract":"Recent discussions on <ce:italic>public transport as public space</ce:italic> are particularly relevant in transit-oriented cities, where urban design profoundly shapes connectivity and pedestrian flow. Strategies such as destination consolidation, node manipulation, and privatized infrastructure, including walkways and transit systems, significantly influence these patterns. Assimilating ideas from nudge and practice theories, this study examines pedestrians' reactions to hypothetical scenarios of opening quasi-public paid areas in metro stations to the public. Using three pairs of interconnected metro stations in Hong Kong—two linked by private paid walkways (stated preference) and one by public unpaid walkways (revealed preference)—a questionnaire survey (<ce:italic>N</ce:italic>=419) and discrete choice modeling were conducted. Results show adverse weather, such as rain or extreme temperatures, is a primary driver for choosing weather-protected underground paths. However, proximity and distance do not consistently predict route choice, suggesting the influence of less visible factors. For example, retail shops along a route subtly encourages usage, even for individuals with limited interest in shopping, serving as markers of convenience or familiarity. Routes with proprietary underground exits also promote underground usages. These findings reveal how deliberate design, ingrained habits and symbolic meanings collectively shape pedestrian decisions. By uncovering the social-political dynamics of pedestrian movement, this study contributes to the <ce:italic>politics of routes</ce:italic> discourse and offers quantitative insights for integrating micro-scale flow management in public space with broader urban planning strategies for transport infrastructure. It underscores the need to design public spaces that consider the subtle power dynamics emerging from the interplay between everyday practices and the socio-material configuration of space.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"225 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790020","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}
Pub Date : 2024-12-07DOI: 10.1016/j.jtrangeo.2024.104081
Guozheng Zhang, Dianhai Wang, Mengwei Chen, Jiaqi Zeng, Zhengyi Cai
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.
{"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":"https://doi.org/10.1016/j.jtrangeo.2024.104081","url":null,"abstract":"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.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"27 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-07","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}
Pub Date : 2024-12-07DOI: 10.1016/j.jtrangeo.2024.104080
Xiaogang Guo, Mengyuan Fang, Luliang Tang, Zihan Kan, Xue Yang, Tao Pei, Qingquan Li, Chaokui Li
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.
{"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":"https://doi.org/10.1016/j.jtrangeo.2024.104080","url":null,"abstract":"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.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"11 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-07","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}
Pub Date : 2024-12-06DOI: 10.1016/j.jtrangeo.2024.104082
Guoqiang Feng, Tianle Wang, Zihong Huang
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.
{"title":"Measuring the impacts of subway openings on location choice: Systematic evidence from service enterprises, Beijing","authors":"Guoqiang Feng, Tianle Wang, Zihong Huang","doi":"10.1016/j.jtrangeo.2024.104082","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104082","url":null,"abstract":"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.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"20 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-06","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}
Pub Date : 2024-12-06DOI: 10.1016/j.jtrangeo.2024.104084
Jihun Oh, Jeongseob Kim
Considering child pedestrian safety is increasingly recognized as a critical social concern, this study investigates the patterns and potential risk factors associated with child pedestrian crashes in Seoul, Korea, specifically during after-school hours, which have received relatively little attention. Spatiotemporal patterns of child pedestrian crashes and their daily activity patterns were examined through a descriptive analysis of household travel records and hotspot analysis of crash incidences. Zero-inflated negative binomial models were further estimated to identify potential risk factors affecting child pedestrian crash incidents by time of day. The findings indicate a significant disparity in patterns and risk factors between child pedestrian crashes before and after school hours, possibly explained by the proximity to major travel destinations such as schools and Hagwons (i.e., private educational facilities). Although relevant policy efforts have primarily focused on nearby schools and home-to-school trips, this study provides evidence of potentially hazardous areas at times and locations other than schools. These insights contribute toward a deeper understanding of urban child pedestrian safety, emphasizing the need for comprehensive safety measures that cover children's daily routines.
{"title":"Potential risk factors of child pedestrian crashes after-school hours in Seoul, Korea","authors":"Jihun Oh, Jeongseob Kim","doi":"10.1016/j.jtrangeo.2024.104084","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104084","url":null,"abstract":"Considering child pedestrian safety is increasingly recognized as a critical social concern, this study investigates the patterns and potential risk factors associated with child pedestrian crashes in Seoul, Korea, specifically during after-school hours, which have received relatively little attention. Spatiotemporal patterns of child pedestrian crashes and their daily activity patterns were examined through a descriptive analysis of household travel records and hotspot analysis of crash incidences. Zero-inflated negative binomial models were further estimated to identify potential risk factors affecting child pedestrian crash incidents by time of day. The findings indicate a significant disparity in patterns and risk factors between child pedestrian crashes before and after school hours, possibly explained by the proximity to major travel destinations such as schools and Hagwons (i.e., private educational facilities). Although relevant policy efforts have primarily focused on nearby schools and home-to-school trips, this study provides evidence of potentially hazardous areas at times and locations other than schools. These insights contribute toward a deeper understanding of urban child pedestrian safety, emphasizing the need for comprehensive safety measures that cover children's daily routines.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"82 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790023","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}
Pub Date : 2024-12-05DOI: 10.1016/j.jtrangeo.2024.104078
Carlos David Pedrosa Pinheiro, Jesus Gonzalez Feliu, Bruno Vieira Bertoncini
This research delves into the intricate spatial interplay between the siting of urban warehouses and accessibility within Fortaleza, Brazil, employing Multiscale Geographically Weighted Regression (MGWR) across varied Basic Spatial Units (BSUs). It unveils a nuanced relationship between the density of warehouses and accessibility, marked by significant variations across BSUs. The findings highlight distinct spatial distributions for large and small warehouses: large warehouses tend to aggregate near key transport arteries for strategic benefits, whereas small warehouses are more evenly dispersed throughout the city. The study accentuates the critical role of transportation, land use, temporal, and individual accessibility components in influencing warehouse density. These revelations are pivotal for shaping urban transport policies, indicating the need for finely calibrated, location-specific interventions to tackle the complexities introduced by warehouse locations on urban accessibility and operational efficiency. By shedding light on the nuanced spatial dynamics between warehouse locations and accessibility factors, this study paves the way for fostering more effective urban freight transport solutions, advocating for policies tailored to the unique demands and characteristics of urban environments.
{"title":"Addressing spatial heterogeneity and MAUP in urban transport geography: A multi-scale analysis of accessibility and warehouse location","authors":"Carlos David Pedrosa Pinheiro, Jesus Gonzalez Feliu, Bruno Vieira Bertoncini","doi":"10.1016/j.jtrangeo.2024.104078","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104078","url":null,"abstract":"This research delves into the intricate spatial interplay between the siting of urban warehouses and accessibility within Fortaleza, Brazil, employing Multiscale Geographically Weighted Regression (MGWR) across varied Basic Spatial Units (BSUs). It unveils a nuanced relationship between the density of warehouses and accessibility, marked by significant variations across BSUs. The findings highlight distinct spatial distributions for large and small warehouses: large warehouses tend to aggregate near key transport arteries for strategic benefits, whereas small warehouses are more evenly dispersed throughout the city. The study accentuates the critical role of transportation, land use, temporal, and individual accessibility components in influencing warehouse density. These revelations are pivotal for shaping urban transport policies, indicating the need for finely calibrated, location-specific interventions to tackle the complexities introduced by warehouse locations on urban accessibility and operational efficiency. By shedding light on the nuanced spatial dynamics between warehouse locations and accessibility factors, this study paves the way for fostering more effective urban freight transport solutions, advocating for policies tailored to the unique demands and characteristics of urban environments.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"28 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790025","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}
Pub Date : 2024-12-05DOI: 10.1016/j.jtrangeo.2024.104076
Junya Kumagai, Sunbin Yoo, Shunsuke Managi
Our study uncovers the causal link between railway expansions in Tokyo and a significant increase in the number of university graduates and high-skilled workers, with the effects being notably more pronounced in areas initially having lower proportions of those groups. We examine the mechanisms behind this phenomenon by (1) demonstrating how railway expansions attract university graduates and high-skilled workers by reducing commute costs, (2) improve access to universities, and (3) boost railway ridership. Our analysis employs both a difference-in-differences framework and a market access approach to separately evaluate the gentrification near new stations and the dispersion of human capital driven by enhanced network connectivity. The results reveal that university graduate rates and skilled worker rates rise by an average of 2.5 % and 1.4 %, respectively, due to improved connectivity. These findings underscore the value of railway expansion in fostering human capital development and provide critical insights for urban planners, policymakers, and transportation authorities, emphasizing the need to align transportation development with strategies for equitable urban growth.
{"title":"Railway expansions and human capital growth: A 20-year causal analysis in Tokyo","authors":"Junya Kumagai, Sunbin Yoo, Shunsuke Managi","doi":"10.1016/j.jtrangeo.2024.104076","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2024.104076","url":null,"abstract":"Our study uncovers the causal link between railway expansions in Tokyo and a significant increase in the number of university graduates and high-skilled workers, with the effects being notably more pronounced in areas initially having lower proportions of those groups. We examine the mechanisms behind this phenomenon by (1) demonstrating how railway expansions attract university graduates and high-skilled workers by reducing commute costs, (2) improve access to universities, and (3) boost railway ridership. Our analysis employs both a difference-in-differences framework and a market access approach to separately evaluate the gentrification near new stations and the dispersion of human capital driven by enhanced network connectivity. The results reveal that university graduate rates and skilled worker rates rise by an average of 2.5 % and 1.4 %, respectively, due to improved connectivity. These findings underscore the value of railway expansion in fostering human capital development and provide critical insights for urban planners, policymakers, and transportation authorities, emphasizing the need to align transportation development with strategies for equitable urban growth.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"38 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790026","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}
Pub Date : 2024-12-03DOI: 10.1016/j.jtrangeo.2024.104069
Mengying Cui , Lijie Yu , Shaoyu Nie , Zhe Dai , Ying-en Ge , David Levinson
Spatial imbalances in metro ridership significantly reduce the overall efficiency of metro system. Understanding the factors that contribute to metro ridership is essential for developing targeted strategies to improve ridership equity and overall system performance. This study introduces novel spatial dependency indices based on spatial weight matrices and land-use function complementarity to explore how access and inter-station spatial dependency affect metro ridership, focusing on station-level boardings and alightings, as well as station-to-station flows. Using the data from the Xi'an Metro, the findings indicate that access to employment and residence from metro stations considerably enhances station-level boardings and alightings. Walking access emerges as a critical factor, especially in the context of station-to-station travel. Furthermore, the analysis reveals a complementarity feature within the metro system, where increases in boardings (alightings) at one station leads to a higher demand at others. Stations that serve areas with complementary land-use functions tend to attract more travel between them. These findings emphasize the critical role of access and spatial dependency in enhancing transit planning and system efficiency.
{"title":"How do access and spatial dependency shape metro passenger flows","authors":"Mengying Cui , Lijie Yu , Shaoyu Nie , Zhe Dai , Ying-en Ge , David Levinson","doi":"10.1016/j.jtrangeo.2024.104069","DOIUrl":"10.1016/j.jtrangeo.2024.104069","url":null,"abstract":"<div><div>Spatial imbalances in metro ridership significantly reduce the overall efficiency of metro system. Understanding the factors that contribute to metro ridership is essential for developing targeted strategies to improve ridership equity and overall system performance. This study introduces novel spatial dependency indices based on spatial weight matrices and land-use function complementarity to explore how access and inter-station spatial dependency affect metro ridership, focusing on station-level boardings and alightings, as well as station-to-station flows. Using the data from the Xi'an Metro, the findings indicate that access to employment and residence from metro stations considerably enhances station-level boardings and alightings. Walking access emerges as a critical factor, especially in the context of station-to-station travel. Furthermore, the analysis reveals a complementarity feature within the metro system, where increases in boardings (alightings) at one station leads to a higher demand at others. Stations that serve areas with complementary land-use functions tend to attract more travel between them. These findings emphasize the critical role of access and spatial dependency in enhancing transit planning and system efficiency.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104069"},"PeriodicalIF":5.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759239","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}
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