EXPLORATION OF ONLINE FOOD MERCHANT AGGLOMERATION PATTERNS IN BANDUNG CITY AND SPATIAL FACTORS INFLUENCING IT

• Main Author: Hilmy Fawwaz, Hafiyyan
• Format: Final Project
• Language: Indonesia
• Subjects: Perencanaan wilayah
• Online Access: https://digilib.itb.ac.id/gdl/view/75237
• Institution: Institut Teknologi Bandung

Digitalization is a form of adaptation of business form to the rapid and massive development of Information and Communication Technology (ICT). However, digitalization for the fast food business does not make the business stand without a strategic location. Profitable locations are still the concern of fast food businesses with delivery and/or takeout services, this form of business is known as Online Food Merchant (OFM). Agglomeration is one of the spatial phenomena that is very beneficial for business actors because it can increase the effectiveness and ease of business/industry in terms of resources. On the other hand, uncontrolled agglomeration can cause unwanted changes in the urban forms, for example, accelerated urban sprawl. This study focuses on identifying agglomeration pattern of OFM facilities and the spatial factors that influence them in Bandung City, Indonesia. Most of the data used in this study were acquired through Google My Maps and Google Maps Web Scraping. This study use two forms of agglomeration quantification, Agglomeration Index (AI) and Facility Densities (FD) with research scales at the neighborhood level and also identifies the influencing factors using Geographically Weighted Regression (GWR) analysis on a 250x250 meter grid. This study found that OFM facilities in Bandung City are not only agglomerated in the urban center but also on the urban fringe. Significant variables in explaining agglomeration in the AI and FD methods have similarities, namely, transportation accessibility, Road Network Density, population, and the number of public facilities around. However, in the FD method, Nighttime Light intensity becomes a significant variable while in the AI method it is not. In addition, the model generated by the FD method has a coefficient of determination of 31% in the GWR analysis, while the model generated by the AI method only has a coefficient of determination of 23%. This indicates that the model produced by the FD method explains more OFM agglomeration factors than the model produced by the AI method. This research can be input for planning stakeholders, especially the Bandung City government, for paying attention to the agglomeration of facilities that occur in urban areas so that they do not become a loss in the future and control it.