Detecting development pattern of urban business facilities using reviews data

Botao Jiang, Yandong Wang, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper reveals and utilizes the growing power of online customer reviews in the space and time context. The location of commercial facilities and online customer reviews offered by Dianping.com provide an important data source for the study of spatial and temporal dynamics of urban commercial facilities. The constraints of road network are taken into account towards computing the density of urban commercial facilities and associated online customer reviews, as well as their spatial distribution, temporal trend, and the coupling relationship between facility number and stratification level. This paper maps the spatial distribution of commercial facilities onto the nearby road network, reflecting the influences of the locations, number and satisfaction levels of other commercial facilities across various street types. Because more and more customers tend to make a final shopping decision by sorting through search results by ratings and feedback, the research conducted in this paper can provide the proof for quantitative evaluation of urban planning on commercial facility development.

Original languageEnglish (US)
Pages (from-to)1022-1028
Number of pages7
JournalCehui Xuebao/Acta Geodaetica et Cartographica Sinica
Volume44
Issue number9
DOIs
StatePublished - Sep 1 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

Keywords

  • Commercial facilities
  • Quantitative evaluation of urban planning
  • Social network service
  • Urban street network analysis

Fingerprint Dive into the research topics of 'Detecting development pattern of urban business facilities using reviews data'. Together they form a unique fingerprint.

Cite this