IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i18p7335-d410080.html
   My bibliography  Save this article

Analysis of Large-Scale Residential Development on Walking Environments in Surrounding Neighborhoods: A Before-and-After Comparison of Apartment Complex Developments in Seoul, Korea

Author

Listed:
  • Omer Dogan

    (Department of Urban Planning and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea)

  • Jaewon Han

    (Department of Urban Planning and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea)

  • Sugie Lee

    (Department of Urban Planning and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea)

Abstract

Pedestrian mobility is an indicator of urban sustainability insofar as it affects walkability and social cohesion. This research focused on the relationship between large-scale residential development and the walking environments of surrounding neighborhoods in Seoul, Korea. Large-scale residential developments, such as apartment complexes, might disrupt pedestrian walking networks fully or partly, causing the separation of urban spaces and social disconnection. This paper conducted before-and-after analysis of apartment complex development on the walking environments of surrounding neighborhoods using the Urban Network Analysis (UNA) tool and Rhinoceros three-dimensional (3D) software. With UNA measures such as reach, gravity, straightness, and betweenness, this study examined three apartment complexes constructed between 2010 and 2017 in Seoul. Analysis results indicated that large-scale residential development in existing urban environments is likely to hinder walking environments in surrounding neighborhoods. This study suggests policy implications to improve walking environments in surrounding communities when large-scale apartment complexes are developed in existing urban environments.

Suggested Citation

  • Omer Dogan & Jaewon Han & Sugie Lee, 2020. "Analysis of Large-Scale Residential Development on Walking Environments in Surrounding Neighborhoods: A Before-and-After Comparison of Apartment Complex Developments in Seoul, Korea," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7335-:d:410080
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/18/7335/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/18/7335/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lu, Yi & Sarkar, Chinmoy & Xiao, Yang, 2018. "The effect of street-level greenery on walking behavior: Evidence from Hong Kong," Social Science & Medicine, Elsevier, vol. 208(C), pages 41-49.
    2. Porta, Sergio & Crucitti, Paolo & Latora, Vito, 2006. "The network analysis of urban streets: A dual approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 853-866.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Omer Dogan & Jaewon Han & Sugie Lee, 2021. "Opening Gated Communities and Neighborhood Accessibility Benefits: The Case of Seoul, Korea," IJERPH, MDPI, vol. 18(8), pages 1-15, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiang, Bin, 2007. "A topological pattern of urban street networks: Universality and peculiarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 647-655.
    2. Batac, Rene C. & Cirunay, Michelle T., 2022. "Shortest paths along urban road network peripheries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    3. Yang, Chao & Chen, Zhuoran & Qian, Jianghai & Han, Dingding & Zhao, Kaidi, 2023. "Simultaneous improvement of multiple transportation performances on link-coupled networks by global dynamic routing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 616(C).
    4. Lingchao Meng & Kuo-Hsun Wen & Zhijie Zeng & Richard Brewin & Xiaolei Fan & Qiong Wu, 2020. "The Impact of Street Space Perception Factors on Elderly Health in High-Density Cities in Macau—Analysis Based on Street View Images and Deep Learning Technology," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    5. Guanwen Yin & Tianzi Liu & Yanbin Chen & Yiming Hou, 2022. "Disparity and Spatial Heterogeneity of the Correlation between Street Centrality and Land Use Intensity in Jinan, China," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    6. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    7. Ahmad Adeel & Bruno Notteboom & Ansar Yasar & Kris Scheerlinck & Jeroen Stevens, 2021. "Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    8. Xiaokun Su & Chenrouyu Zheng & Yefei Yang & Yafei Yang & Wen Zhao & Yue Yu, 2022. "Spatial Structure and Development Patterns of Urban Traffic Flow Network in Less Developed Areas: A Sustainable Development Perspective," Sustainability, MDPI, vol. 14(13), pages 1-18, July.
    9. Zhou, Yaoming & Wang, Junwei, 2018. "Efficiency of complex networks under failures and attacks: A percolation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 658-664.
    10. Lordan, Oriol & Sallan, Jose M., 2019. "Core and critical cities of global region airport networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 724-733.
    11. Jing Shen & Jian Cui & Mengfei Li & Caitlin Vitosky Clarke & Yuanyuan Gao & Ruopeng An, 2021. "Green Space and Physical Activity in China: A Systematic Review," Sustainability, MDPI, vol. 13(23), pages 1-21, December.
    12. Wagner, Roy, 2008. "On the metric, topological and functional structures of urban networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2120-2132.
    13. Sergio Porta & Vito Latora & Fahui Wang & Salvador Rueda & Emanuele Strano & Salvatore Scellato & Alessio Cardillo & Eugenio Belli & Francisco CÃ rdenas & Berta Cormenzana & Laura Latora, 2012. "Street Centrality and the Location of Economic Activities in Barcelona," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1471-1488, May.
    14. Karolina Dudzic-Gyurkovich, 2023. "Study of Centrality Measures in the Network of Green Spaces in the City of Krakow," Sustainability, MDPI, vol. 15(18), pages 1-30, September.
    15. Feng, Huifang & Bai, Fengshan & Xu, Youji, 2019. "Identification of critical roads in urban transportation network based on GPS trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    16. Zhang, Tong & Zeng, Zhe & Jia, Tao & Li, Jing, 2016. "Examining the amenability of urban street networks for locating facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 469-479.
    17. Federico Karagulian & Gaetano Valenti & Carlo Liberto & Matteo Corazza, 2022. "A Methodology to Estimate Functional Vulnerability Using Floating Car Data," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    18. Agryzkov, Taras & Tortosa, Leandro & Vicent, Jose F., 2019. "A variant of the current flow betweenness centrality and its application in urban networks," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 600-615.
    19. Tsiotas, Dimitrios, 2021. "Drawing indicators of economic performance from network topology: The case of the interregional road transportation in Greece," Research in Transportation Economics, Elsevier, vol. 90(C).
    20. Hu, Ping & Fan, Wen-Li, 2020. "Mitigation strategy against cascading failures considering vulnerable transmission line in power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7335-:d:410080. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.