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Article

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

by 1, 1,2,3,* and 1
1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
3
Faculty of Geomatics, East China University of Technology, Nanchang 330013, China
*
Author to whom correspondence should be addressed.
Academic Editors: Maria Antonia Brovelli, Xiao-Guang Zhou, Hussein Abdulmuttalib and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(6), 414; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060414
Received: 11 April 2021 / Revised: 4 June 2021 / Accepted: 10 June 2021 / Published: 16 June 2021
(This article belongs to the Special Issue Geodata Science and Spatial Analysis in Urban Studies)
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. View Full-Text
Keywords: node-place model; transport network; TOD; transit station node-place model; transport network; TOD; transit station
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MDPI and ACS Style

Dou, M.; Wang, Y.; Dong, S. Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai. ISPRS Int. J. Geo-Inf. 2021, 10, 414. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060414

AMA Style

Dou M, Wang Y, Dong S. Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai. ISPRS International Journal of Geo-Information. 2021; 10(6):414. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060414

Chicago/Turabian Style

Dou, Mingxuan, Yandong Wang, and Shihai Dong. 2021. "Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai" ISPRS International Journal of Geo-Information 10, no. 6: 414. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060414

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