Version 1
: Received: 23 August 2023 / Approved: 23 August 2023 / Online: 23 August 2023 (07:25:16 CEST)
How to cite:
Maulidi, C.; Dwicaksono, A.; Aritenang, A.F.; Winarso, H. Food Service Spatial Pattern After the Emergency of Online Retail. Preprints2023, 2023081639. https://doi.org/10.20944/preprints202308.1639.v1
Maulidi, C.; Dwicaksono, A.; Aritenang, A.F.; Winarso, H. Food Service Spatial Pattern After the Emergency of Online Retail. Preprints 2023, 2023081639. https://doi.org/10.20944/preprints202308.1639.v1
Maulidi, C.; Dwicaksono, A.; Aritenang, A.F.; Winarso, H. Food Service Spatial Pattern After the Emergency of Online Retail. Preprints2023, 2023081639. https://doi.org/10.20944/preprints202308.1639.v1
APA Style
Maulidi, C., Dwicaksono, A., Aritenang, A.F., & Winarso, H. (2023). Food Service Spatial Pattern After the Emergency of Online Retail. Preprints. https://doi.org/10.20944/preprints202308.1639.v1
Chicago/Turabian Style
Maulidi, C., Adiwan Fahlan Aritenang and Haryo Winarso. 2023 "Food Service Spatial Pattern After the Emergency of Online Retail" Preprints. https://doi.org/10.20944/preprints202308.1639.v1
Abstract
The popularity of online retail is followed by decreasing transactions at shopping centres. Leisure and companionship trips to restaurants and cafés are replacing the frequency of intra-urban shopping trips. Several studies demonstrated a notable trend in urban commercial areas, wherein functionality has shifted from shopping centres to primarily focused on restaurants and cafes. Leisure and companionship places in the urban south have greater diversity than formal restaurants and cafés. This article employs a comprehensive framework to examine the categorization of restaurants and cafés in the urban south, referred to as food services. This study aims to investigate the spatial pattern of food service in Surabaya and ascertain whether there is a concentration of all food service variants around existing shopping centres. This research employs the POI of food service units gathered through web scraping from Google Maps. Applying the k-means cluster analysis demonstrates that the spatial pattern of food services is categorized into several distinct clusters. This article discloses five types of urban spaces characterized by varying compositions of food service variants within them. These spaces include the city centre, sub-city centre, areas along main roads, residential neighbourhoods, and peri-urban areas.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
