IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i8p1249-d1452924.html
   My bibliography  Save this article

Optimizing Spatial Distribution of Retail Shops against Neighborhood Tree Canopy Shade Using Big Data Extracted from Streetscape

Author

Listed:
  • Yifeng Liu

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhanhua Cao

    (College of Environment and Bioresources, Dalian Minzu University, Dalian 116600, China)

  • Hongxu Wei

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Peng Guo

    (College of Environment and Bioresources, Dalian Minzu University, Dalian 116600, China)

Abstract

The visibility of retail frontages is critical for earning profits from spontaneous traffic visits to retail shops located along a street. The urban tree canopy plays a crucial role in enhancing the street-side environment, yet more is not always better when considering the placement of retail shops behind trees with big canopies. Related evidence in the literature is rarely provided, and an unclear relationship has been reported to exist between the number of shops for a specific retail type and the quantified ratio of the canopy shade in a street view. In this study, both big data crawling and deep learning were employed to unravel this relationship for retail shops in Changchun, Northeast China. The entire study area was divided into 6037 grid cells with a side length of ~0.6 km, wherein the number of shops of five retail types (food and beverage, shopping, life services, entertainment, and hotel) were quantified by computer counting their points of interest (POIs). The canopy shade was evaluated using the green view index (GVI) quantified through the ratio of canopy pixels divided by all the pixels in a street view image obtained through an online map API. A neighboring road network was categorized into four classes: class I road density mainly reduced the number of retail shops, and the road densities of classes III and IV accounted for more retail shops. The relationship between the number of retail shops and the GVI could be fitted with positive skewness curves for class II roads, where the critical peak of the GVI was estimated to be about 3.27%. The optimization scheme indicated that more retail shops should be placed along class I and II roads. In conclusion, more retail shops for food and beverage, shopping, and life services should be placed in the landscape neighboring big canopies.

Suggested Citation

  • Yifeng Liu & Zhanhua Cao & Hongxu Wei & Peng Guo, 2024. "Optimizing Spatial Distribution of Retail Shops against Neighborhood Tree Canopy Shade Using Big Data Extracted from Streetscape," Land, MDPI, vol. 13(8), pages 1-18, August.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1249-:d:1452924
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/8/1249/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/8/1249/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Atkin & Benjamin Faber & Marco Gonzalez-Navarro, 2018. "Retail Globalization and Household Welfare: Evidence from Mexico," Journal of Political Economy, University of Chicago Press, vol. 126(1), pages 1-73.
    2. Meqbel M. Aliedan & Abu Elnasr E. Sobaih & Ibrahim A. Elshaer, 2021. "Influence of Cities-Based Entertainment on Tourist Satisfaction: Mediating Roles of Destination Image and Experience Quality," Sustainability, MDPI, vol. 13(19), pages 1-14, October.
    3. Yang, Lu & Li, Xiangyong & Zhong, Ning, 2022. "Omnichannel retail operations with mixed fulfillment strategies," International Journal of Production Economics, Elsevier, vol. 254(C).
    4. Daunfeldt, Sven-Olov & Rudholm, Niklas & Rämme, Ulf, 2009. "Congestion charges and retail revenues: Results from the Stockholm road pricing trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 306-309, March.
    5. Formánek, Tomáš & Sokol, Ondřej, 2022. "Location effects: Geo-spatial and socio-demographic determinants of sales dynamics in brick-and-mortar retail stores," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    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. Juan Pablo Atal & José Ignacio Cuesta & Felipe González & Cristóbal Otero, 2024. "The Economics of the Public Option: Evidence from Local Pharmaceutical Markets," American Economic Review, American Economic Association, vol. 114(3), pages 615-644, March.
    2. Stephen J. Redding & David E. Weinstein, 2017. "Aggregating from Micro to Macro Patterns of Trade," NBER Working Papers 24051, National Bureau of Economic Research, Inc.
    3. Redding, Stephen J. & Weinstein, David E., 2016. "A unified approach to estimating demand and welfare," LSE Research Online Documents on Economics 67681, London School of Economics and Political Science, LSE Library.
    4. Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2020. "Weight gains from trade in foods: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 122(C).
    5. Meland, Solveig & Tretvik, Terje & Welde, Morten, 2010. "The effects of removing the Trondheim toll cordon," Transport Policy, Elsevier, vol. 17(6), pages 475-485, November.
    6. Youngmin BAEK & HAYAKAWA Kazunobu & TSUBOTA Kenmei & URATA Shujiro & YAMANOUCHI Kenta, 2019. "Tariff Pass-through in Wholesaling: Evidence from Firm-level Data in Japan," Discussion papers 19064, Research Institute of Economy, Trade and Industry (RIETI).
    7. Sanchez-Vidal, Maria, 2019. "Retail shocks and city structure," LSE Research Online Documents on Economics 103394, London School of Economics and Political Science, LSE Library.
    8. Benjamin Faber & Thibault Fally, 2022. "Firm Heterogeneity in Consumption Baskets: Evidence from Home and Store Scanner Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(3), pages 1420-1459.
    9. Florence Kondylis & Mattea Stein, 2023. "The Speed of Justice," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 596-613, May.
    10. Benjamin Faber & Cecile Gaubert, 2019. "Tourism and Economic Development: Evidence from Mexico's Coastline," American Economic Review, American Economic Association, vol. 109(6), pages 2245-2293, June.
    11. Juan Blyde & Matias Busso & Kyunglin Park & Dario Romero, 2023. "Short‐ and long‐run labor market adjustment to import competition," Review of International Economics, Wiley Blackwell, vol. 31(4), pages 1552-1569, September.
    12. Bachas, Pierre & Gadenne, Lucie & Jensen, Anders, 2020. "Informality, Consumption Taxes and Redistribution," The Warwick Economics Research Paper Series (TWERPS) 1277, University of Warwick, Department of Economics.
    13. Silvia Fabiani & Alberto Felettigh & Alfonso Rosolia, 2023. "Foreign Value Added along the Consumption Distribution," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 35-60, March.
    14. Borusyak, Kirill & Jaravel, Xavier, 2024. "Are trade wars class wars? The importance of trade-induced horizontal inequality," Journal of International Economics, Elsevier, vol. 150(C).
    15. Erten, Bilge & Leight, Jessica & Tregenna, Fiona, 2019. "Trade liberalization and local labor market adjustment in South Africa," Journal of International Economics, Elsevier, vol. 118(C), pages 448-467.
    16. David Atkin & Benjamin Faber & Thibault Fally & Marco Gonzalez-Navarro, 2024. "Measuring Welfare and Inequality with Incomplete Price Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 419-475.
    17. Rodriguez Castelan,Carlos & Araar,Abdelkrim & Malasquez Carbonel,Eduardo Alonso & Olivieri,Sergio Daniel & Vishwanath,Tara, 2019. "Distributional Effects of Competition : A Simulation Approach," Policy Research Working Paper Series 8838, The World Bank.
    18. Gertler, Paul J. & Gonzalez-Navarro, Marco & Gračner, Tadeja & Rothenberg, Alexander D., 2024. "Road maintenance and local economic development: Evidence from Indonesia’s highways," Journal of Urban Economics, Elsevier, vol. 143(C).
    19. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    20. Bellemare, Marc F., 2022. "Agricultural value chains: towards a marriage of development economics and industrial organisation?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(02), January.

    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:13:y:2024:i:8:p:1249-:d:1452924. 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.