Detecting Development Pattern of Urban Business Facilities Using Reviews Data

doi:10.11947/j.AGCS.2015.20140556

Abstract

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.

Key words: commercial facilities, urban street network analysis, quantitative evaluation of urban planning, social network service

CLC Number:

P208

JIANG Botao, WANG Yandong, YE Xinyue. Detecting Development Pattern of Urban Business Facilities Using Reviews Data[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(9): 1022-1028.

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