IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v48y2021i8p2206-2220.html

Minimizing aggregation errors when measuring potential access to services for social groups at the city scale

Author

Listed:
  • Chengcheng Wu
  • Neil A Powe
  • Alison Copeland

Abstract

This research explores how to minimize aggregation errors when measuring potential access to services for social groups at the city scale. It develops a cadastral and address-based population weighting technique, the Household Space Weighting, to reduce aggregation errors caused by using population weighted centroids when applying the Have Their Centre In criterion (the Population Weighted Centroid technique). The Household Space Weighting technique is formally tested in a case study of General Practitioner practices in Newcastle upon Tyne, UK. The findings suggest that the Population Weighted Centroid technique produces inaccurate population estimates for 267 out of 910 output areas (29%) in the city. When applying the two techniques to measure access for social groups at the city scale, the absolute difference in the percentage of each social group with potential accessibility is 9–10% and the relative difference in the percentage of each social group with potential access is 18–20%, taking into account the overlay of service areas at the city scale. This suggests that if service planners or policy makers want to measure potential accessibility or potential access of social groups to services for cities, it would be useful to apply a more accurate technique, or at least be aware of the implications of applying the Population Weighted Centroid technique.

Suggested Citation

  • Chengcheng Wu & Neil A Powe & Alison Copeland, 2021. "Minimizing aggregation errors when measuring potential access to services for social groups at the city scale," Environment and Planning B, , vol. 48(8), pages 2206-2220, October.
  • Handle: RePEc:sae:envirb:v:48:y:2021:i:8:p:2206-2220
    DOI: 10.1177/2399808320970201
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2399808320970201
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2399808320970201?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Khan, Abdullah A., 1992. "An integrated approach to measuring potential spatial access to health care services," Socio-Economic Planning Sciences, Elsevier, vol. 26(4), pages 275-287, October.
    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. Qu, Yanda & Currie, Graham & Webb, Geoffrey I., 2025. "Spatial resolution impact on public transport accessibility measurement error," Journal of Transport Geography, Elsevier, vol. 129(C).

    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. Chen, Wendong & Cheng, Long & Chen, Xuewu & Chen, Jingxu & Cao, Mengqiu, 2021. "Measuring accessibility to health care services for older bus passengers: A finer spatial resolution," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Fahui Wang & Quan Tang, 2013. "Planning toward Equal Accessibility to Services: A Quadratic Programming Approach," Environment and Planning B, , vol. 40(2), pages 195-212, April.
    3. Lei Mu & Lijun Xing & Ying Jing & Qinjiang Hu, 2023. "Spatial Optimization of Park Green Spaces by an Improved Two-Step Optimization Model from the Perspective of Maximizing Accessibility Equity," Land, MDPI, vol. 12(5), pages 1-20, April.
    4. Jiahui Qin & Shijia Luo & Disheng Yi & Heping Jiang & Jing Zhang, 2022. "Measuring Cluster-Based Spatial Access to Shopping Stores under Real-Time Travel Time," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    5. Xiaoxiao Liu & Judy E. Seidel & Terrence McDonald & Alka B. Patel & Nigel Waters & Stefania Bertazzon & Rizwan Shahid & Deborah A. Marshall, 2022. "Rural–Urban Disparities in Realized Spatial Access to General Practitioners, Orthopedic Surgeons, and Physiotherapists among People with Osteoarthritis in Alberta, Canada," IJERPH, MDPI, vol. 19(13), pages 1-20, June.
    6. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    7. Matthew Tuson & Berwin Turlach & Kevin Murray & Mei Ruu Kok & Alistair Vickery & David Whyatt, 2021. "Predicting Future Geographic Hotspots of Potentially Preventable Hospitalisations Using All Subset Model Selection and Repeated K-Fold Cross-Validation," IJERPH, MDPI, vol. 18(19), pages 1-21, September.
    8. Danny van Steijn & Juan José Pons Izquierdo & Eduardo Garralda Domezain & Miguel Antonio Sánchez-Cárdenas & Carlos Centeno Cortés, 2021. "Population’s Potential Accessibility to Specialized Palliative Care Services: A Comparative Study in Three European Countries," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    9. Wei Luo & Fahui Wang, 2003. "Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region," Environment and Planning B, , vol. 30(6), pages 865-884, December.
    10. Zhuolin Tao & Qi Wang, 2022. "Facility or Transport Inequality? Decomposing Healthcare Accessibility Inequality in Shenzhen, China," IJERPH, MDPI, vol. 19(11), pages 1-14, June.
    11. Meijie Chen & Yumin Chen & Xiaoguang Wang & Huangyuan Tan & Fenglan Luo, 2019. "Spatial Difference of Transit-Based Accessibility to Hospitals by Regions Using Spatially Adjusted ANOVA," IJERPH, MDPI, vol. 16(11), pages 1-20, May.
    12. Yuliang Xi & Fu Ren & Shi Liang & Jinghua Zhang & De-Nan Lin, 2014. "Spatial Analysis of the Distribution, Risk Factors and Access to Medical Resources of Patients with Hepatitis B in Shenzhen, China," IJERPH, MDPI, vol. 11(11), pages 1-23, November.
    13. Abatemarco, Antonio & Aria, Massimo & Beraldo, Sergio & Collaro, Michela, 2024. "Measuring health care access and its inequality: A decomposition approach," Economic Modelling, Elsevier, vol. 132(C).
    14. Kilinc, Mehmet Serdar & Milburn, Ashlea Bennett & Heier Stamm, Jessica L., 2017. "Measuring potential spatial accessibility of home healthcare services," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 13-25.
    15. Huanhuan Zhu & Lin Pan & Yiji Li & Huiming Jin & Qian Wang & Xin Liu & Cong Wang & Peng Liao & Xinyang Jiang & Luo Li, 2021. "Spatial Accessibility Assessment of Prehospital EMS with a Focus on the Elderly Population: A Case Study in Ningbo, China," IJERPH, MDPI, vol. 18(19), pages 1-17, September.
    16. Jingya Luan & Yuhong Tian & Chi Yung Jim & Xu Liu & Mengxuan Yan & Lizhu Wu, 2023. "Assessing Spatial Accessibility of Community Hospitals for the Elderly in Beijing, China," IJERPH, MDPI, vol. 20(1), pages 1-19, January.
    17. Kobayashi, Daisuke & Otsubo, Tetsuya & Imanaka, Yuichi, 2015. "The effect of centralization of health care services on travel time and its equality," Health Policy, Elsevier, vol. 119(3), pages 298-306.
    18. Xiao, Weiye & Wei, Yehua Dennis & Wan, Neng, 2021. "Modeling job accessibility using online map data: An extended two-step floating catchment area method with multiple travel modes," Journal of Transport Geography, Elsevier, vol. 93(C).
    19. Amritpal Kaur Khakh & Victoria Fast & Rizwan Shahid, 2019. "Spatial Accessibility to Primary Healthcare Services by Multimodal Means of Travel: Synthesis and Case Study in the City of Calgary," IJERPH, MDPI, vol. 16(2), pages 1-19, January.
    20. Guoqiang Shen & Zhangye Wang & Long Zhou & Yu Liu & Xiaoyi Yan, 2020. "Home-Based Locational Accessibility to Essential Urban Services: The Case of Wake County, North Carolina, USA," Sustainability, MDPI, vol. 12(21), pages 1-21, 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:sae:envirb:v:48:y:2021:i:8:p:2206-2220. 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: SAGE Publications (email available below). General contact details of provider: .

    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.