Modelling accessibility to urban services using fuzzy logic: A comparative analysis of two methods

Abstract

Purpose

This paper is an attempt to bridge the gap between, on the one hand, the mobility behaviour of households and their perception of accessibility to urban amenities and, on the other hand, house price dynamics as captured through hedonic modelling.

Design/methodology/approach

In order to analyse the mobility behaviour of individuals and households, their sensitivity to travel time from home to service places is estimated so as to assess their perceived accessibility, using “subjective” indices based on actual trips, as reported in the 2001 origin‐destination survey designed for Quebec City. For comparative purposes, both objective and subjective accessibility indices based, in the former case on observed travel times and, in the latter case on fuzzy logic criteria, are computed and used as a complement to a centrality index in a hedonic model of house prices.

Findings

Findings indicate that there are statistically significant differences in the way accessibility is structured depending on trip purposes and household profiles. They also suggest that, while an objective measure of accessibility yields good results, resorting to subjective, and more comprehensive, accessibility indices derived from fuzzy logic provides greater insight into the understanding of commuting patterns and travel behaviour of people.

Practical implications

Better understanding the complexity of individuals’ and households’ mobility behaviour should result in more adequate initiatives and decisions being taken by transportation and city planning authorities.

Originality/value

Accessibility to jobs and services has long been known as a major determinant of urban, residential and non residential, rents. Yet, it is more often than not assumed to derive from a rather straightforward process, which this paper shows is not the case.

Citation

Thériault, M., Des Rosiers, F. and Joerin, F. (2005), "Modelling accessibility to urban services using fuzzy logic: A comparative analysis of two methods", Journal of Property Investment & Finance, Vol. 23 No. 1, pp. 22-54. https://doi.org/10.1108/14635780510575085