SPATIAL DISTRIBUTION OF RESTAURANT POPULARITY INDEX BASED ON CONSUMER REVIEW

Authors

  • Dewi Susiloningtyas
  • Alexander Tio
  • Supriatna
  • Iqbal Putut Ash Shidiq

Keywords:

Spatial distribution, Consumer review website, Popularity index, Restaurant, Spatial analysis

Abstract


There has been a remarkable surge nowadays, especially in the usage of social media. People
in urban areas are using social media to choose the restaurant they want to visit. This is becoming a new
phenomenon that changes people's lifestyles and behavior in urban areas. That is including how people receive
information from word of mouth (WoM) recommendation for a restaurant and becoming electronic-word of
mouth information. Consumer review websites (CRW) are the e-word of mouth (e-WoM) information that uses
people's information as the main database for restaurant recommendation. Zomato is one of the CRW that have
around 4032 databases for DKI Jakarta province, and that includes the restaurant’s popularity index. This study
divides three levels of the restaurant’s popularity into high, average, and low popularity. This study is using
Nearest Neighbor Analysis (NNA) and Kernel Density Analysis (KDA) to describe the spatial distribution of
restaurants based on the popularity index. This study is using distance from POIs, CBD, road class, and landuses as control variables. The result shows that high, average, and low popularity restaurants are clustering with density of 59 restaurants/km2, 29 restaurant/km2, and four restaurant/km2, respectively. Based on chisquare analysis, high popularity restaurants averagely had a closer distance to the POIs like shopping malls and hotels and the main road (or primary road). Low popularity restaurants more likely located far away from POIs, main roads, and CBD.

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Published

2020-04-29

How to Cite

Dewi Susiloningtyas, Alexander Tio, Supriatna, & Iqbal Putut Ash Shidiq. (2020). SPATIAL DISTRIBUTION OF RESTAURANT POPULARITY INDEX BASED ON CONSUMER REVIEW. GEOMATE Journal, 18(68), 47–53. Retrieved from https://geomatejournal.com/geomate/article/view/541

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