Does the accessibility measure influence the results of residential location choice modelling?

Abstract

Accessibility is essential in Land-Use Transport Interaction (LUTI) framework. For residential location choice in particular, it has always been important at theoretical level. At empirical level, the place of accessibility is doubt in some case studies, considering other location characteristics more important, like the social environment and the neighbourhood amenities. However, this result can be caused by the measurement of accessibility. In view of the wealth of approaches, this paper examines whether different accessibility measures can lead to divergent results. Using a residential location choice model for the Lyon urban area, we test various accessibility indicators and we compare the results. Accessibility is an indispensable variable, whatever is the measure. Without it, the model gives inconsistent results. Complex accessibility measures give better results but simple measures are also relevant for residential location choices modelling. The choice depends heavily on the objectives of the application especially if the model is to be used for simulation.

Residential Location Choice in Istanbul, Tehran, and Cairo: The Importance of Commuting to Work

“…In the model developed in this study, these variables are highly significant. This finding is consistent with the conclusions of a recent study conducted by Baraklianos et al (2020), who found accessibility factors to be of importance in their residential location choice model in the Lyon metropolitan area in France [35]. The relations between residential location choice and accessibility of work place and different types of services have also been shown in the Stockholm region, Sweden [36], though in this model, Eliasson did not categorize the location choices into mobility and non-mobility.…”

Relationship of Residential Location Choice with Commute Travels and Socioeconomics in the Small Towns of South Asia: The Case of Hafizabad, Pakistan

“…In some of the studies conducted in the developed world, social interactions and neighbors with similar socioeconomic backgrounds have also been a significant factor in residential location choices [14]. Other important determinants of residential location choices have been reported as the quality of schools [15], accessibility to services and jobs [16,17], mobility attitudes, the built environment [18][19][20][21][22], and the affordability and neighborhood characteristics [23,24].…”

Investigating the Socioeconomic Factors Influencing Households’ Residential Location Choice Using Multinomial Logit Analysis

“…Several studies have focused on distinct aspects when addressing the issue of residential location models [14][15][16][17][18][19][20][21][22]. A substantial amount of research investigates the role of transportation systems and transportation accessibility on location choice [1,12,16,17,[24][25][26][27][28].…”

“…Several studies have focused on distinct aspects when addressing the issue of residential location models [14][15][16][17][18][19][20][21][22]. A substantial amount of research investigates the role of transportation systems and transportation accessibility on location choice [1,12,16,17,[24][25][26][27][28]. Most of these studies discussed how households choose between different residential locations and considered changes in transportation, level of service, and neighborhood quality as significant variables.…”