Spatial decision tree analysis to identify location pattern

Dyah Lestari Widaningrum, Isti Surjandari Prajitno, Dodi Sudiana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Jakarta has become a megacity with elaborate service network activities. Fast food restaurants as a type of food service provider have a role in supporting urban lifestyles. Despite the growth of value and transaction volume, there are some fast food categories in Indonesia which have a negative percentage of outlets growth. In general, the location of fast food restaurants divides into two categories. The first one is stand-alone restaurants, and the second is restaurants which located in other public facilities, such as malls, supermarket, and market area. According to the first law of Tobler, closer public facilities will have activity relatedness. This study aims to examine whether proximity between fast food restaurant locations and other public facilities affect categories of fast food restaurants, using spatial decision tree analysis approach. The public facilities examined for proximity to fast food restaurants consist of 11 criteria, which are considered to have a co-location pattern from previous research results. The results will be spatial characteristics of public facilities which expected to be indicators of consumer movement behavior, especially from and to fast food restaurant.

Original languageEnglish
Title of host publicationProceedings of the 9th International Symposium on Information and Communication Technology, SoICT 2018
PublisherAssociation for Computing Machinery
Pages422-429
Number of pages8
ISBN (Electronic)9781450365390
DOIs
Publication statusPublished - 6 Dec 2018
Event9th International Symposium on Information and Communication Technology, SoICT 2018 - Da Nang, Viet Nam
Duration: 6 Dec 20187 Dec 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Symposium on Information and Communication Technology, SoICT 2018
CountryViet Nam
CityDa Nang
Period6/12/187/12/18

Keywords

  • Decision tree
  • Fast food restaurant
  • Location pattern
  • Spatial

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