Streetscape and business survival: Examining the impact of walkable environments on the survival of restaurant businesses in commercial areas based on street view images

Walkable environments within commercial areas can be an important factor that vitalizes consumers' walking access, thereby increasing stores' survival. Particularly, the survival of restaurant businesses may be more sensitive to surrounding walkability than that of other businesses. Despite many studies on the relationships between walkability and restaurants' survival, prior studies have identified walkable environments at a macro-scale, not at a pedestrian's eye-level view along the street. This study addresses these gaps by investigating the impact of macro- and micro-scale walkable environments on the survival of restaurant businesses in the commercial areas of Seoul, Korea. To identify micro-scale streetscapes in commercial areas, the authors used deep learning technologies utilizing 82,563 Google Street View panorama images. They employed spatial lag and multiple regression models to clarify the impact of walkable environments on restaurants' survival. This study also accounted for two types of commercial areas to examine how the impact of walkability varies across commercial areas' heterogeneity. They found that streetscapes play a key role in increasing the survival of restaurants in commercial areas. This study may help policymakers develop tailored approaches to vitalize the economies of local commercial areas by considering the environmental characteristics of commercial areas and the impacts of improving the walkable environment.

• Record URL:
  https://doi.org/10.1016/j.jtrangeo.2022.103480
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0966692322002034
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Kim, Sohee
  • Woo, Ayoung
• Publication Date: 2022-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 103480
• Serial:
  • Journal of Transport Geography
  • Volume: 105
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Business districts; Machine learning; Restaurants; Streetscape; Walkability
• Geographic Terms: Seoul (Korea)
• Subject Areas: Data and Information Technology; Economics; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01869181
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 30 2022 4:58PM