IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i8p1175-d873819.html
   My bibliography  Save this article

Exploring the Relationship between the Clustering Degree of Children’s Business Formats and the Attractiveness of Commercial Centers in Wuhan by Modifying the Classic Retail Model

Author

Listed:
  • Zhuoran Shan

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China)

  • Xuehan Shen

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China)

  • Man Yuan

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China)

Abstract

In recent years, the continued popularity of children’s consumption has made it a new factor that affects the attractiveness of Wuhan’s commercial centers. This study analyzes the characteristics of children’s business format agglomeration in Wuhan commercial centers based on the results of an on-the-spot investigation and estimates the passenger attraction of 66 commercial centers in the main urban area with the support of LBS data. In addition, we set up a control experiment group of commercial centers of various levels and explore the influence mechanism of the density of various types of children’s stores on the attraction of commercial centers by improving the classic retail model. The results indicate the following. (1) Children’s business formats in Wuhan’s commercial centers are active as a whole, and different types of children’s businesses have an unbalanced layout at the different levels of business centers. (2) There are both level ladder and internal level differences in the attractiveness of Wuhan commercial centers. (3) The direction and intensity of the influence of children’s business types on commercial centers of different levels differ. In city-level commercial centers, children’s education and entertainment formats play a role in promotion. In county-level commercial centers, the children’s education format is the most important, and overinvestment in the children’s department store format may not meet expectations. In community-level commercial centers, investment in children’s department stores yielded the best results. (4) Traffic impedance has a stable inhibitory effect at all levels of Wuhan commercial centers, which is in line with the classic retail gravity theory. Further, based on the above results, this paper puts forward suggestions on several types of adaptations that can be applied to children’s consumption stores at different levels of commercial centers to provide support for rationally utilizing the potential of the children’s consumption market.

Suggested Citation

  • Zhuoran Shan & Xuehan Shen & Man Yuan, 2022. "Exploring the Relationship between the Clustering Degree of Children’s Business Formats and the Attractiveness of Commercial Centers in Wuhan by Modifying the Classic Retail Model," Land, MDPI, vol. 11(8), pages 1-21, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1175-:d:873819
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/8/1175/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/8/1175/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tim Schlaich & Abigail L. Horn & Marcel Fuhrmann & Hanno Friedrich, 2020. "A Gravity-Based Food Flow Model to Identify the Source of Foodborne Disease Outbreaks," IJERPH, MDPI, vol. 17(2), pages 1-20, January.
    2. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
    3. Wang, Sijun & Holloway, Betsy B. & Beatty, Sharon E. & Hill, William W., 2007. "Adolescent influence in family purchase decisions: An update and cross-national extension," Journal of Business Research, Elsevier, vol. 60(11), pages 1117-1124, November.
    4. Duccio Piovani & Carlos Molinero & Alan Wilson, 2017. "Urban retail location: Insights from percolation theory and spatial interaction modeling," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.
    5. Feenstra, Florence & Muzellec, Laurent & de Faultrier, Brigitte & Boulay, Jacques, 2015. "Edutainment experiences for children in retail stores, from a child’s perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 47-56.
    Full references (including those not matched with items on IDEAS)

    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. Paul Cheshire & Christian Hilber & Piero Montebruno & Rosa Sanchis-Guarner, 2018. "Take Me to the Centre of Your Town! Using Micro-geographical Data to Identify Town Centres," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 255-291.
    2. Sohyun Park & Keumsook Lee, 2021. "Examining the Impact of E-Commerce Growth on the Spatial Distribution of Fashion and Beauty Stores in Seoul," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
    3. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.
    4. Lin, Guyang & Li, Mimi & Xing, Yuqing & Guo, Fumei & Lin, Pearl M.C., 2023. "The contagion effect on children's consumption decision," Annals of Tourism Research, Elsevier, vol. 103(C).
    5. Wieland, Thomas, 2015. "Nahversorgung im Kontext raumökonomischer Entwicklungen im Lebensmitteleinzelhandel: Konzeption und Durchführung einer GIS-gestützten Analyse der Strukturen des Lebensmitteleinzelhandels und der Nahve," MPRA Paper 77145, University Library of Munich, Germany.
    6. Rickard Enström & Olof Netzell, 2008. "Can Space Syntax Help Us in Understanding the Intraurban Office Rent Pattern? Accessibility and Rents in Downtown Stockholm," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 289-305, April.
    7. Liwei Zhao & Qiaobing Yue & Junhong Liang & Shiyi Cheng, 2025. "Evaluation of Rural Livability Considering Social Interactions and Implications for Rural Revitalization: A Case Study of Ezhou City, China," Sustainability, MDPI, vol. 17(9), pages 1-20, April.
    8. Yang, Xiping & Fang, Zhixiang & Xu, Yang & Yin, Ling & Li, Junyi & Lu, Shiwei, 2019. "Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data," Journal of Transport Geography, Elsevier, vol. 78(C), pages 29-40.
    9. Eacott, Scott, 2024. "School provision, workforce distribution, housing, and the staffing of schools: The case of Sydney, Australia," International Journal of Educational Development, Elsevier, vol. 109(C).
    10. Lin, Jie & Cromley, Gordon, 2023. "Using the transportation problem to build a congestion/threshold constrained spatial accessibility model," Journal of Transport Geography, Elsevier, vol. 112(C).
    11. Baruch A. Kipnis, 1977. "Center-Hinterland Interrelationships in a Nodal Region: An Input-Output Analysis," Urban Studies, Urban Studies Journal Limited, vol. 14(3), pages 347-351, October.
    12. Weinhold, Ines & Wende, Danny & Schrey, Christopher & Militzer-Horstmann, Carsta & Schang, Laura & Sundmacher, Leonie, 2022. "Assessing patients’ acceptable and realised distances to determine accessibility standards for the size of catchment areas in outpatient care," Health Policy, Elsevier, vol. 126(11), pages 1180-1186.
    13. 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.
    14. Yaser Sobhanifard & Seyed Mohammad Saleh Hashemi Apourvari, 2022. "Environmental sustainable development through modeling and ranking of influential factors of reference groups on consumer behavior of green products: The case of Iran," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1294-1312, October.
    15. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonome," MPRA Paper 77163, University Library of Munich, Germany.
    16. Minoru Osawa & Takashi Akamatsu & Yuki Takayama, 2017. "Harris And Wilson (1978) Model Revisited: The Spatial Period‐Doubling Cascade In An Urban Retail Model," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 442-466, June.
    17. Dharminder Kumar Batra & Akhter Ali, 2015. "Parent’s Opinion of Children’s Influence in Purchase Decisions: A Comparative Analysis between Rural and Urban Delhi," Global Business Review, International Management Institute, vol. 16(6), pages 1100-1111, December.
    18. Cho, Clare & Volpe, Richard J., 2017. "Independent Grocery Stores in the Changing Landscape of the U.S. Food Retail Industry," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258517, Agricultural and Applied Economics Association.
    19. Jing Yao & Alan T. Murray, 2014. "Locational Effectiveness of Clinics Providing Sexual and Reproductive Health Services to Women in Rural Mozambique," International Regional Science Review, , vol. 37(2), pages 172-193, April.
    20. Vladimir Marianov & H. A. Eiselt & Armin Lüer-Villagra, 2020. "The Follower Competitive Location Problem with Comparison-Shopping," Networks and Spatial Economics, Springer, vol. 20(2), pages 367-393, June.

    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:jlands:v:11:y:2022:i:8:p:1175-:d:873819. 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.