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ISPRS Int. J. Geo-Inf. 2016, 5(7), 111; doi:10.3390/ijgi5070111

Detecting Themed Streets Using a Location Based Service Application

1
KT R & D Center Convergence Lab., 151, Taebong-ro, Seocho-gu, Seoul 06763, Korea
2
Department of Civil and Environmental Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
3
Institute of Construction and Environmental Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Georg Gartner, Haosheng Huang and Wolfgang Kainz
Received: 26 April 2016 / Revised: 24 June 2016 / Accepted: 8 July 2016 / Published: 12 July 2016
(This article belongs to the Special Issue Location-Based Services)
View Full-Text   |   Download PDF [8690 KB, uploaded 13 July 2016]   |  

Abstract

Various themed streets have recently been developed by local governments in order to stimulate local economies and to establish the identity of the corresponding places. However, the motivations behind the development of some of these themed street projects has been based on profit, without full considerations of people’s perceptions of their local areas, resulting in marginal effects on the local economies concerned. In response to this issue, this study proposed a themed street clustering method to detect the themed streets of a specific region, focusing on the commercial themed street, which is more prevalent than other types of themed streets using location based service data. This study especially uses “the street segment” as a basic unit for analysis. The Sillim and Gangnam areas of Seoul, South Korea were chosen for the evaluation of the adequacy of the proposed method. By comparing trade areas that were sourced from a market analysis report by a reliable agent with the themed streets detected in this study, the experiment results showed high proficiency of the proposed method. View Full-Text
Keywords: GIS; themed street; Isovist; mobile sensor GIS; themed street; Isovist; mobile sensor
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ji, B.; Lee, Y.; Yu, K.; Kwon, P. Detecting Themed Streets Using a Location Based Service Application. ISPRS Int. J. Geo-Inf. 2016, 5, 111.

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