| Peer-Reviewed

How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai

Received: 7 March 2021    Accepted:     Published: 16 April 2021
Views:       Downloads:
Abstract

With the acceleration of urban sprawl, many cities have extended their metro lines into peripheral areas. It is hoped that the expansion of transport network can promote the construction of less developed regions and help relieve overpopulation in city centers. When measuring the spatial quality of station catchment areas, land use and transport conditions are two main dimensions that should be paid attention to. But how they affect population distribution hasn’t been carefully studied yet. Up to now, there have been a substantial amount of studies relating to the comparatively well-developed transit stations in city centers whereas suburban stations still require further exploration. To fill this gap, our study aims to learn about current land use types, transport conditions and population aggregation around 97 suburban metro stations in Shanghai based on available information and data from Baidu Map and employs a stepwise regression approach to examine how the environmental variables affect population aggregation. The study shows that six land use variables and three transport-related variables are significantly associated with population aggregation on weekday while four land use variables and three transport-related variables show their significance on weekend. By finding out the coefficients of different land use and transport variables, this study hopes to guide government and urban planners in future planning in order to attract more people to live and work around suburban metro stations.

Published in Urban and Regional Planning (Volume 6, Issue 2)
DOI 10.11648/j.urp.20210602.11
Page(s) 57-67
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Suburban Metro Stations, Land Use Types, Transport Conditions, Population Aggregation

References
[1] J. Yang, J. Chen, X. Le, and Q. Zhang, “Density-oriented versus development-oriented transit investment: Decoding metro station location selection in Shenzhen,” Transp. Policy, 2016, vol. 51, pp. 93–102.
[2] K. Wang and M. Woo, “The relationship between transit rich neighborhoods and transit ridership: Evidence from the decentralization of poverty,” Appl. Geogr., 2017, vol. 86, pp. 183–196.
[3] L. Bertolini, “Spatial development patterns and public transport: the application of an analytical model in the Netherlands,” Plan. Pract. Res., 1999, vol. 14, pp. 199-210.
[4] S. Monajem and F. E. Nosratian, “The evaluation of the spatial integration of station areas via the node place model; an application to subway station areas in Tehran,” Transp. Res. D. Transp. Environ., 2015, vol. 40, pp. 14-27.
[5] D. S. Vale, C. M. Viana, and M. Pereira, “The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network,” J. Transp. Geogr., 2018, vol. 69, pp. 282-293.
[6] D. S. Vale, “Transit-oriented development, integration of land use and transport, and pedestrian accessibility: Combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbon,” J. Transp. Geogr., 2015, vol. 45, pp. 70-80.
[7] R. Cervero and K. Kockelman, “Travel demand and the 3Ds: density, diversity, and design,” Transp. Res. D. Transp. Environ., 1997, vol. 2, 199-219.
[8] D. E. Reusser, P. Loukopoulos, M. Stauffacher, and R. W. Scholz, “Classifying railway stations for sustainable transitions - balancing node and place functions,” J. Transp. Geogr., 2008, vol. 16, pp. 191-202.
[9] G. Lyu, L. Bertolini, and K. Pfeffer, “Developing a TOD typology for Beijing metro station areas,” J. Transp. Geogr., 2016, vol. 55, pp. 40-50.
[10] R. Bordoloi, A. Mote, P. P. Sarkar and M. Chunchu, “Quantification of land use diversity in the context of mixed land use,” Procedia Soc. Behav. Sci., 2013, vol. 104, pp. 563–572.
[11] B. Qin, W. Zhu, J. Wang, and Y. Peng, “Understanding the relationship between neighborhood green space and mental wellbeing: A case study of Beijing, China,” Cities, 2021, vol. 109, pp. 103039.
[12] K. T. K. Nyunt and N. Wongchavalidkul, “Evaluation of relationships between ridership demand and transit-oriented development (TOD) indicators focused on land use density, diversity, and accessibility: A case study of existing metro stations in Bangkok,” Urban Rail Transit, 2020, vol. 6, pp. 56–70.
[13] H. Dong and M. Chunchu, “If You Build Rail Transit in Suburbs, Will Development Come?” J. Am. Plann. Assoc., 2016, vol. 82, pp. 316–326.
[14] R. Cervero and M. Duncan, “Benefits of Proximity to Rail on Housing Markets: Experiences in Santa Clara County,” J. Public Trans., 2002, vol. 5, pp. 1–18.
[15] M. Boarnet and R. Crane, “L. A. story: A reality check for transit-based housing,” J. Am. Plann. Assoc., 1997, vol. 63, pp. 189–204.
[16] L. Zhang and Y. Zhuang, “Analysis of multiple network accessibilities and commercial space use in metro station areas: An empirical case study of Shanghai, China,” Int. J. High-Rise Build., 2019, vol. 8, pp. 49–56.
[17] L. Mejia-Dorantes, A. Paez, and J. M. Vassallo, “Transportation infrastructure impacts on firm location: the effect of a new metro line in the suburbs of Madrid,” J. Transp. Geogr., 2012, vol. 22, pp. 236–250.
[18] Q. Shen, “Urban transportation in Shanghai, China: problems and planning implications,” Int. J. Urban Reg. Res., 1997, vol. 21, pp. 589–606.
[19] S. P. Sekar and D. Gangopadhyay, “Impact of rail transit on land use and development: Case study of suburban rail in Chennai,” J. Urban Plan. Dev., 2017, vol. 143, 04016038.
[20] H. Moon, “Land use around suburban transit stations,” Transportation, 1990, vol. 17, pp. 67–88.
[21] P. Shen, L. Ouyang, C. Wang, Y. Shi, and Y. Su, “Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data,” Geo Spat. Inf. Sci., 2020, vol. 23, pp. 352–361.
[22] S. Pulugurtha and M. Agurla, “Assessment of models to estimate bus-stop level transit ridership using spatial modeling methods,” J. Public Trans., 2015, vol. 15, pp. 33–52.
[23] R. Cervero, “Linking urban transport and land use in developing countries,” J. Transp. Land Use, 2013, vol. 6, pp. 7–24.
[24] X. Wang, D. Tong, J. Gao, and Y. Chen, “The reshaping of land development density through rail transit: The stories of central areas vs. suburbs in Shenzhen, China,” Cities, 2019, vol. 89, pp. 35–45.
[25] R. Cervero, J. Day, “Suburbanization and transit-oriented development in China,” Transp. Policy, 2008, vol. 15, pp. 315–323.
[26] J. Zhao, W. Deng, “Relationship of walk access distance to rapid rail transit stations with personal characteristics and station context,” J. Urban Plan. Dev., 2013, vol. 139, pp. 311–321.
[27] O. D. Cardozo, J. C. García-Palomares, and J. Gutiérrez, “Application of geographically weighted regression to the direct forecasting of transit ridership at station-level,” Appl. Geogr., 2012, vol. 34, pp. 548–558.
[28] R. Tan, Q. He, K. Zhou, and P. Xie, “The effect of new metro stations on local land use and housing prices: The case of Wuhan, China,” J. Transp. Geogr., 2019, vol. 79, 102488.
[29] Z. Li, Z. Han, J. Xin, X. Luo, S. Su, and M. Weng, “Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning,” Land use policy, 2019, vol. 82, pp. 269–282.
[30] K. Sohn and H. Shim, “Factors generating boardings at metro stations in the Seoul metropolitan area,” Cities, 2010, vol. 27, pp. 358–368.
[31] S. Wang, L. Sun, J. Rong, S. Hao, and W. Luo, “Transit trip distribution model considering land use differences between catchment areas,” J. Adv. Transp., 2016, vol. 50, pp. 1820–1830.
[32] M. J. Jun, K. Choi, J. E. Jeong, K. H. Kwon, and H. J. Kim, “Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul,” J. Transp. Geogr., 2015, vol. 48, pp. 30–40.
[33] M. Kuby, A. Barranda, and C. Upchurch, “Factors influencing light-rail station boardings in the United States,” Transp. Res. Part A Policy Pract., 2004, vol. 38, pp. 223–247.
[34] J. Zhao, W. Deng, Y. Song, and Y. Zhu, “What influences metro station ridership in China? Insights from Nanjing,” Cities, 2013, vol. 35, pp. 114–124.
[35] F. Calvo, J. Oña, and F. Arán, “Impact of the Madrid subway on population settlement and land use,” Land use policy, 2013, vol. 31, pp. 627–639.
[36] J. Jin, D. Kim, “Expansion of the subway network and spatial distribution of population and employment in the Seoul metropolitan area,” Urban Stud., 2018, vol. 55, pp. 2499–2521.
[37] N. Baum-Snow, “Did highways cause suburbanization? Q. J. Econ,” 2007, vol. 122, pp. 775–805.
[38] M. À. Garcia-López, “Urban spatial structure, suburbanization and transportation in Barcelona,” J. Urban Econ., 2012, vol. 72, pp. 176–190.
[39] S. Williams, W. Xu, S. B. Tan, M. J. Foster, and C. Chen, “Ghost cities of China: Identifying urban vacancy through social media data,” Cities, 2019, vol. 94, pp. 275–285.
[40] H. J. Teng, C. O. Chang, C. M. Yu, and M. C. Chen, “Rent seekers vs. producers in cities: Contagious housing bubbles force housing price diffusion on urban overdevelopment,” January 5, 2013. Available online: https://ssrn.com/abstract=2196798 or http://dx.doi.org/10.2139/ssrn.2196798
[41] Z. Ye, Y. Chen, and L. Zhang, “The Analysis of Space Use around Shanghai Metro Stations Using Dynamic Data from Mobile Applications,” Transp. Res. Procedia, 2017, vol. 25, pp. 3147–3160.
[42] P. N. Chen and K. Karimi, “The impact of a new public transport system on neighbourhoods surrounding stations: The cases of Bermondsey and West Ham with the Jubilee Line extension in London,” In 24th ISUF International Conference. Book of Papers, Valencia, Spain, September 27-29, 2017, Editorial Universitat Politècnica de València: Valencia, Spain, 2018, pp. 1449–1459.
[43] X. Li, Y. Liu, Z. Gao, and D. Liu, “Linkage between passenger demand and surrounding land-use patterns at urban rail transit stations: A canonical correlation analysis method and case study in Chongqing,” Int. J. Transp. Sci. Technol., 2016, vol. 5, pp. 10–16.
[44] D. An, X. Tong, K. Liu, E. H. W. Chan, “Understanding the impact of built environment on metro ridership using open source in Shanghai,” Cities, 2019, vol. 93, pp. 177–187.
[45] R. Huang, A. Grigolon, M. Madureira, and M. Brussel, “Measuring transit-oriented development (TOD) network complementarity based on TOD node typology,” J. Transp. Land Use, 2018, vol. 11, pp. 305–324.
[46] Y. J. Singha, A. Lukmana, J. Flackea, M. Zuidgeestb, M. van Maarseveen, “Measuring TOD around transit nodes - Towards TOD policy,” Transp. Policy, 2017, vol. 56, pp. 96–111.
[47] X. Liu, X. Yan, W. Wang, H. Titheridge, R. Wang, and Y. Liu, “Characterizing the polycentric spatial structure of Beijing Metropolitan Region using carpooling big data,” Cities 2021, vol. 109, 103040.
[48] M. P. Pelletier, M. Trépanier, and C. Morency, “Smart card data use in public transit: A literature review,” Transp. Res. Part C Emerg. Technol., 2011, vol. 19, pp. 557–568.
[49] C. Kang, Y. Liu, X. Ma, and L. Wu, “Towards Estimating Urban Population Distributions from Mobile Call Data,” J. Urban Technol., 2012, vol. 11, pp. 3–21.
[50] W. Zhang, Y. Zhao, X. Cao, D. Lu, and Y. Chai, “Nonlinear effect of accessibility on car ownership in Beijing: Pedestrian-scale neighborhood planning,” Transp. Res. D. Transp. Environ., 2020, vol. 86, 102445.
[51] B. P. Loo, C. Chen, and E. T. Chan, “Rail-based transit-oriented development: lessons from New York City and Hong Kong,” Landsc. Urban Plan., 2010, vol. 97, pp. 202–212.
[52] H. Sung, K. Choi, S. Lee, and S. H. Cheon, “Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership,” J. Transp. Geogr., 2014, vol. 36, pp. 134–140.
Cite This Article
  • APA Style

    Zhang Yunzheng. (2021). How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai. Urban and Regional Planning, 6(2), 57-67. https://doi.org/10.11648/j.urp.20210602.11

    Copy | Download

    ACS Style

    Zhang Yunzheng. How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai. Urban Reg. Plan. 2021, 6(2), 57-67. doi: 10.11648/j.urp.20210602.11

    Copy | Download

    AMA Style

    Zhang Yunzheng. How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai. Urban Reg Plan. 2021;6(2):57-67. doi: 10.11648/j.urp.20210602.11

    Copy | Download

  • @article{10.11648/j.urp.20210602.11,
      author = {Zhang Yunzheng},
      title = {How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai},
      journal = {Urban and Regional Planning},
      volume = {6},
      number = {2},
      pages = {57-67},
      doi = {10.11648/j.urp.20210602.11},
      url = {https://doi.org/10.11648/j.urp.20210602.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20210602.11},
      abstract = {With the acceleration of urban sprawl, many cities have extended their metro lines into peripheral areas. It is hoped that the expansion of transport network can promote the construction of less developed regions and help relieve overpopulation in city centers. When measuring the spatial quality of station catchment areas, land use and transport conditions are two main dimensions that should be paid attention to. But how they affect population distribution hasn’t been carefully studied yet. Up to now, there have been a substantial amount of studies relating to the comparatively well-developed transit stations in city centers whereas suburban stations still require further exploration. To fill this gap, our study aims to learn about current land use types, transport conditions and population aggregation around 97 suburban metro stations in Shanghai based on available information and data from Baidu Map and employs a stepwise regression approach to examine how the environmental variables affect population aggregation. The study shows that six land use variables and three transport-related variables are significantly associated with population aggregation on weekday while four land use variables and three transport-related variables show their significance on weekend. By finding out the coefficients of different land use and transport variables, this study hopes to guide government and urban planners in future planning in order to attract more people to live and work around suburban metro stations.},
     year = {2021}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai
    AU  - Zhang Yunzheng
    Y1  - 2021/04/16
    PY  - 2021
    N1  - https://doi.org/10.11648/j.urp.20210602.11
    DO  - 10.11648/j.urp.20210602.11
    T2  - Urban and Regional Planning
    JF  - Urban and Regional Planning
    JO  - Urban and Regional Planning
    SP  - 57
    EP  - 67
    PB  - Science Publishing Group
    SN  - 2575-1697
    UR  - https://doi.org/10.11648/j.urp.20210602.11
    AB  - With the acceleration of urban sprawl, many cities have extended their metro lines into peripheral areas. It is hoped that the expansion of transport network can promote the construction of less developed regions and help relieve overpopulation in city centers. When measuring the spatial quality of station catchment areas, land use and transport conditions are two main dimensions that should be paid attention to. But how they affect population distribution hasn’t been carefully studied yet. Up to now, there have been a substantial amount of studies relating to the comparatively well-developed transit stations in city centers whereas suburban stations still require further exploration. To fill this gap, our study aims to learn about current land use types, transport conditions and population aggregation around 97 suburban metro stations in Shanghai based on available information and data from Baidu Map and employs a stepwise regression approach to examine how the environmental variables affect population aggregation. The study shows that six land use variables and three transport-related variables are significantly associated with population aggregation on weekday while four land use variables and three transport-related variables show their significance on weekend. By finding out the coefficients of different land use and transport variables, this study hopes to guide government and urban planners in future planning in order to attract more people to live and work around suburban metro stations.
    VL  - 6
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • College of Architecture and Urban Planning, Tongji University, Shanghai, China

  • Sections