Next Article in Journal
Automatic Airport Recognition Based on Saliency Detection and Semantic Information
Next Article in Special Issue
Modeling and Querying Moving Objects with Social Relationships
Previous Article in Journal
Evaluating Trade Areas Using Social Media Data with a Calibrated Huff Model
Previous Article in Special Issue
Heading Estimation with Real-time Compensation Based on Kalman Filter Algorithm for an Indoor Positioning System
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2016, 5(7), 111;

Detecting Themed Streets Using a Location Based Service Application

KT R & D Center Convergence Lab., 151, Taebong-ro, Seocho-gu, Seoul 06763, Korea
Department of Civil and Environmental Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
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)
Full-Text   |   PDF [8690 KB, uploaded 13 July 2016]   |  


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

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top