IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i11p3879-d178218.html
   My bibliography  Save this article

Assessing Neighborhood Walkability Based on Usage Characteristics of Amenities under Chinese Metropolises Context

Author

Listed:
  • Zelong Xia

    (School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China
    Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing 100038, China)

  • Hao Li

    (School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China)

  • Yuehong Chen

    (School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China)

Abstract

In the age of rapid motorization, walking, as both a green travelling mode and the most common form of daily physical activity, has been given increasing attention in Chinese metropolises. Walkability describes the extent to which a neighborhood environment is walking-friendly and recently has been regarded as a potential impetus for inflated housing prices. In this paper, we develop a walkability measurement model considering residents’ usage characteristics of the amenity, which incorporates three key factors: (1) amenity usage frequency; (2) amenity selection diversity; (3) the distance decay effect. Accordingly, we employ the proposed method to the case of Nanjing City and identify a clear spatial pattern of spatial heterogeneity in walkability among the 4143 dwelling areas within it. The experimental results suggest that the distribution of the residential walkability score varied greatly within Nanjing. It can be seen that dwelling areas with a high walkability score were clustered in the urban central regions and most dwelling areas showed a low walkability. Then, we utilized the hedonic price model to explore the correlation between neighborhood walkability and housing prices. The results show that the effects of community walkability on housing prices were statistically significant in Nanjing. Thus, we can infer that high walkability communities generally have concentrated rich amenity resources, and consequently have high property values.

Suggested Citation

  • Zelong Xia & Hao Li & Yuehong Chen, 2018. "Assessing Neighborhood Walkability Based on Usage Characteristics of Amenities under Chinese Metropolises Context," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3879-:d:178218
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/11/3879/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/11/3879/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alan Hoback & Scott Anderson & Utpal Dutta, 2008. "True Walking Distance to Transit," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(6), pages 681-692, September.
    2. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    3. Dong Lin & Andrew Allan & Jianqiang Cui, 2016. "Exploring Differences in Commuting Behaviour among Various Income Groups during Polycentric Urban Development in China: New Evidence and Its Implications," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    4. Ling-xiang HUANG & Li-jie CHEN & Jian-min HAO & Dong-chuan WANG? & Li-guo JIN & Di ZHAO, 2017. "Study On The Relationship Between Housing Price And Transportation Accessibility In Urban District Of Tianjin, China," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(2), pages 48-63, April.
    5. Louis Merlin, 2015. "Can the built environment influence nonwork activity participation? An analysis with national data," Transportation, Springer, vol. 42(2), pages 369-387, March.
    6. Cohen, Barney, 2006. "Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability," Technology in Society, Elsevier, vol. 28(1), pages 63-80.
    7. Yuping Deng & Helian Xu, 2015. "International Direct Investment and Transboundary Pollution: An Empirical Analysis of Complex Networks," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    8. Taede Tillema & Erik Verhoef & Bert van Wee & Dirk van Amelsfort, 2011. "Evaluating the effects of urban congestion pricing: geographical accessibility versus social surplus," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(7), pages 669-689, April.
    9. Winkelman, Steve & Bishins, Allison & Kooshian, Chuck, 2010. "Planning for economic and environmental resilience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 575-586, October.
    10. Anping Chen & Marlon Boarnet & Mark Partridge & Siqi Zheng & Weizeng Sun & Rui Wang, 2014. "Land Supply And Capitalization Of Public Goods In Housing Prices: Evidence From Beijing," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 550-568, September.
    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. Jie Wang & Biyu Peng & Xiaohua Xia & Zhu Ma, 2021. "Are Housing Prices Sustainable in 35 Large and Medium-Sized Chinese Cities? A Study Based on the Cheap Talk Game and Dynamic GMM," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    2. Chenxi Su & Zhengyan Chen & Yuxuan Cheng & Shaofeng Chen & Wenting Li & Zheng Ding, 2025. "Decoding Multi-Scale Environmental Configurations for Older Adults’ Walkability with Explainable Machine Learning," Sustainability, MDPI, vol. 17(18), pages 1-30, September.
    3. Yibang Zhang & Yukun Zou & Zhenjun Zhu & Xiucheng Guo & Xin Feng, 2022. "Evaluating Pedestrian Environment Using DeepLab Models Based on Street Walkability in Small and Medium-Sized Cities: Case Study in Gaoping, China," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    4. Zhang, Zhehao & Wang, Haiming & Fisher, Thomas, 2024. "The development, validation, and application of the campus walk score measurement system," Transport Policy, Elsevier, vol. 152(C), pages 40-54.
    5. Haruka Kato & Atsushi Takizawa, 2021. "Which Residential Clusters of Walkability Affect Future Population from the Perspective of Real Estate Prices in the Osaka Metropolitan Area?," Sustainability, MDPI, vol. 13(23), pages 1-20, December.
    6. Ana Isabel Ribeiro & Elaine Hoffimann, 2018. "Development of a Neighbourhood Walkability Index for Porto Metropolitan Area. How Strongly Is Walkability Associated with Walking for Transport?," IJERPH, MDPI, vol. 15(12), pages 1-10, December.
    7. Siqiang Wang & Esther Hiu Kwan Yung & Ester Cerin & Yifan Yu & Peiheng Yu, 2022. "Older People’s Usage Pattern, Satisfaction with Community Facility and Well-Being in Urban Old Districts," IJERPH, MDPI, vol. 19(16), pages 1-24, August.

    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. Ahsan Nawaz & Xing Su & Qaiser Mohi Ud Din & Muhammad Irslan Khalid & Muhammad Bilal & Syyed Adnan Raheel Shah, 2020. "Identification of the H&S (Health and Safety Factors) Involved in Infrastructure Projects in Developing Countries-A Sequential Mixed Method Approach of OLMT-Project," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
    2. Ruofan Liao & Zhengtao Chen & Jirakom Sirisrisakulchai & Jianxu Liu, 2025. "Enhancing Rural Economic Sustainability in China Through Agricultural Socialization Services: A Novel Perspective on Spatial-Temporal Dynamics," Agriculture, MDPI, vol. 15(3), pages 1-28, January.
    3. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    4. Alina Kulczyk-Dynowska & Agnieszka Stacherzak, 2022. "The Impact of a City on Its Environment: The Prism of Demography and Selected Environmental and Technical Aspects Based on the Case of Major Lower Silesian Cities," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    5. Saul Estrin & Yuan Hu & Daniel Shapiro & Peng Zhang, 2024. "Agglomeration costs limit sustainable innovation in cities in developing economies," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-24, November.
    6. Dinkelman, Taryn & Schulhofer-Wohl, Sam, 2015. "Migration, congestion externalities, and the evaluation of spatial investments," Journal of Development Economics, Elsevier, vol. 114(C), pages 189-202.
    7. Mari-Isabella Stan, 2022. "The impact of the pandemic crisis on employment in the context of urbanization," Technium Social Sciences Journal, Technium Science, vol. 33(1), pages 492-505, July.
    8. Adomako, Samuel & Shenkar, Oded & Liu, Xiaohui & Amankwah-Amoah, Joseph & Ahsan, Mujtaba, 2024. "Editorial on Doing business in Africa: Navigating opportunities and challenges in Africa's emerging markets," Journal of International Management, Elsevier, vol. 30(5).
    9. Zhen Yang & Jun Lei & Jian-Gang Li, 2019. "Identifying the Determinants of Urbanization in Prefecture-Level Cities in China: A Quantitative Analysis Based on Spatial Production Theory," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
    10. Bernard Fosu Frimpong & Frank Molkenthin, 2021. "Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana," Land, MDPI, vol. 10(1), pages 1-21, January.
    11. Ragdad Cani Miranti, 2021. "Is regional poverty converging across Indonesian districts? A distribution dynamics and spatial econometric approach," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 851-883, October.
    12. Yan Yan & Hui Liu & Ningcheng Wang & Shenjun Yao, 2021. "How Does Low-Density Urbanization Reduce the Financial Sustainability of Chinese Cities? A Debt Perspective," Land, MDPI, vol. 10(9), pages 1-18, September.
    13. Ulep, Valerie Gilbert T. & Ortiz, Danica Aisa P. & Go, John Juliard & Duante, Charmaine & Gonzales, Rosa C. & Mendoza, Laurita R. & Reyes, Clarissa & Elgo, Frances Rose & Aldeon, Melanie P., 2012. "Inequities in Noncommunicable Diseases," Discussion Papers DP 2012-04, Philippine Institute for Development Studies.
    14. S. A. Mashi & A. I. Inkani & Oghenejeabor Obaro & A. S. Asanarimam, 2020. "Community perception, response and adaptation strategies towards flood risk in a traditional African city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 1727-1759, September.
    15. Felipe Santos‐Marquez & Carlos Mendez, 2021. "Regional convergence, spatial scale, and spatial dependence: Evidence from homicides and personal injuries in Colombia 2010–2018," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1162-1184, August.
    16. Jing Cheng, 2024. "Analysis of the Government’s Decision on Leasing Different Lands under Public Ownership of Land," Land, MDPI, vol. 13(7), pages 1-23, June.
    17. Nina Savela & Jarkko Levänen & Sara Lindeman & Nnenesi Kgabi & Heikki Koivisto & Meri Olenius & Samuel John & Damas Mashauri & Minna M. Keinänen-Toivola, 2020. "Rapid Urbanization and Infrastructure Pressure: Comparing the Sustainability Transition Potential of Water and Energy Regimes in Namibia," World, MDPI, vol. 1(2), pages 1-18, July.
    18. Dohse, Dirk & Lim, Cheng Yee, 2016. "Macro-geographic location and internet adoption in poor countries: What is behind the persistent digital gap?," Kiel Working Papers 2067, Kiel Institute for the World Economy (IfW Kiel).
    19. Marcello Schiavina & Michele Melchiorri & Christina Corbane & Aneta J. Florczyk & Sergio Freire & Martino Pesaresi & Thomas Kemper, 2019. "Multi-Scale Estimation of Land Use Efficiency (SDG 11.3.1) across 25 Years Using Global Open and Free Data," Sustainability, MDPI, vol. 11(20), pages 1-25, October.
    20. Zherong Wu & Xinyang Zhang & Peifeng Ma & Mei-Po Kwan & Yang Liu, 2023. "How Did Urban Environmental Characteristics Influence Land Surface Temperature in Hong Kong from 2017 to 2022? Evidence from Remote Sensing and Land Use Data," Sustainability, MDPI, vol. 15(21), pages 1-26, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:10:y:2018:i:11:p:3879-:d:178218. 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.