Coordination between node, place, and ridership: Comparing three transit operators in Tokyo

Cao, Zhejing; Asakura, Yasuo; Zongbo, Tan

doi:10.1016/j.trd.2020.102518

Cited by 46 publications

(20 citation statements)

References 30 publications

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“…Third, station attribute variables like the number of bus stops within 500 m radius of subway station (Busstop) was used to represent design . Though design variables typically entail road density and number of intersections, Busstop was used as a measure of intermodal connection and continuity (Sung and Oh 2011 ; Cao et al 2020 ). Further, stations where transfer to a different subway line were classified with a dummy variable (Transfer), which contextualizes attributes related to stations.…”

Section: Methodsmentioning

confidence: 99%

“…The 500 m radius distance is designated by the Korean Urban Planning Law as the primary catchment area for subway stations. Other studies on subway ridership and station level based in Seoul and Tokyo also used 500 m as the subway station catchment area (Sung and Oh 2011 ; Choi et al 2012 ; Kim et al 2017 ; Cao et al 2020 ). Detailed description and descriptive statistics of the variables used in the regression analysis are listed in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Viability of compact cities in the post-COVID-19 era: subway ridership variations in Seoul Korea

Kwon

Choi

et al. 2022

Ann Reg Sci

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Viability of compact cities in the post-COVID-19 era: subway ridership variations in Seoul Korea

Kwon

Choi

et al. 2022

Ann Reg Sci

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“…Ref. [10] investigated the interaction between node value, place value, and ridership. However, ridership has limitations to reflect the travel network characteristics (e.g., transfer behavior).…”

Section: Introductionmentioning

confidence: 99%

Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai

Dou

Wang

Dong

2021

IJGI

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Transit-oriented development (TOD) is generally understood as an effective urban design model for encouraging the use of public transportation. Inspired by TOD, the node-place (NP) model was developed to investigate the relationship between transport stations and land use. However, existing studies construct the NP model based on the statistical attributes, while the importance of travel characteristics is ignored, which arguably cannot capture the complete picture of the stations. In this study, we aim to integrate the NP model and travel characteristics with systematic insights derived from network theory to classify stations. A node-place-network (NPN) model is developed by considering three aspects: land use, transportation, and travel network. Moreover, the carrying pressure is proposed to quantify the transport service pressure of the station. Taking Shanghai as a case study, our results show that the travel network affects the station classification and highlights the imbalance between the built environment and travel characteristics.

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“…Vale et al (2018) evaluated the integration of land use and transport at the local scale, so that TOD can be implemented at different levels: city, region and station. Some scholars emphasized that ridership reflected how people use the transit, and it should be studied as a critical indicator to evaluate TOD (Cao et al, 2020;Caset et al, 2020). While some cities invest in new light rail transit or bus rapid transit to promote urban regeneration, TOD also links new transport system and can be based on LRT or BRT (Cao and Porter-Nelson 2016;Lee and Sener 2017;Pezeshknejad et al, 2020).…”

Section: Abstract Evolution Analysismentioning

confidence: 99%

International research progress and trend of transit-oriented development: An analysis of knowledge mapping based on cite space

2022

Front. Environ. Sci.

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Transit-oriented development (TOD) which is regarded as one of the most successful planning methods for urban and transport sustainability, has garnered much attention from academics and planners. Despite the growing interest in TOD research, there has not been a comprehensive review of the knowledge structure, research hotspots and emerging trends about TOD research. This study aims to address the research gap by providing a bibliometric overview and visualization of the TOD research. Based on the bibliometric analysis methods, this study uses data collected from Web of Science (WOS) and uses CiteSpace software for visualizing and analyzing international research progress and trends in the TOD field. The results showed that publications on TOD research increased significantly, and most of the articles were published by the United States and China. Universities were the mainstays of the TOD research institutions, and the most productive authors were Dr. Ewing, Dr. Cervero, and Dr. Bertolini. The co-citation network analysis showed that the influential articles were published by Kamruzzaman, Vale, and Papa, and six main research area could be detected. The keyword co-occurrence network analysis displayed three stages for the evolution of TOD research, and popular topics in different stages were revealed. Three Frontier hotspots were identified by the keywords burst analysis, namely oriented development, pattern, and typology.

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Coordination between node, place, and ridership: Comparing three transit operators in Tokyo

Cited by 46 publications

References 30 publications

Viability of compact cities in the post-COVID-19 era: subway ridership variations in Seoul Korea

Viability of compact cities in the post-COVID-19 era: subway ridership variations in Seoul Korea

Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai

International research progress and trend of transit-oriented development: An analysis of knowledge mapping based on cite space

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