LSP Suitability Maps for the Quality of Urban Locations


Ryoichi Yokoohji

Oral Defence Date: 



HH 301


Professors Dujmovic, and Wong


The quality of urban location represents the degree of suitability from the standpoint of people who intend to live in urban areas. Its evaluation depends on many factors including neighborhood development and geographical properties. The former factor can be evaluated using distances between a specified location and surrounding points of interest (POI), and the latter can be derived from parameters acquired from geographical information system (GIS) data. An overall suitability score can be computed using the Logic Scoring of Preference (LSP) which is a method for design of decision criteria and for quantitative system evaluation. This project presents the LSPquloc software system, a web application for the evaluation of quality of urban locations in a selected area. LSPquloc expands the LSPmap software, and provides compound suitability maps based on POI's. Results of the evaluation include not only a compound suitability map of the selected area, but also detailed suitability maps of all component criteria, and the distribution of scores in the presented map, helping the user to perform a comprehensive analysis of location. The LSPquloc system provides two different operation modes: basic and advanced mode. The basic evaluation mode uses a spectrum of POI's that are available for any urban area, and the advanced evaluation mode includes both POI's retrieved form Google, and GIS data provided by the city of San Francisco. Furthermore, the LSPquloc system provides the functionality to derive and display suitability map of every component criterion. It also provides parameters for changing the color and transparency of suitability maps. The LSPquloc system programs are written in HTML and JavaScript for the client side, and PHP, Java, and C++ on the server side.


Suitability maps, LSP, Quality of Location, GIS


Ryoichi Yokoohji