Commuters’ Expected Utility Obtained in Decision Making on Residential Location Selection

Toshihiro Osaragi (), Maki Kishimoto and Natsumi Tanaka
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Toshihiro Osaragi: Tokyo Institute of Technology
Maki Kishimoto: Tokyo Institute of Technology
Natsumi Tanaka: Tokyo Institute of Technology

A chapter in Advances and New Trends in Environmental Informatics, 2023, pp 53-71 from Springer

Abstract: Abstract This paper describes a method for estimating residential location selection utility (RLSU), which is the anticipated utility benefitting the commuters upon selecting a residential location. First, the RLSU was formulated by a logit model, and it was shown that the utility can be estimated numerically by a spatial interaction model. Next, the RLSU was estimated using commuters’ trip data taken from person trip survey data. The utility was examined how it varied over time, along with the type of the household, and with nearby land usage. The RLSU was then described as a multiple regression model using the land price data, and land use data which were observed at four different time points. In order to expand the potential for the use of this model, the temporal distance to the nearest station and to central Tokyo were used as variables to describe the accessibility to Central Business District (CBD). We demonstrated that this expanded model enabled the user to analyze the RLSU where not covered the land price data sets at any desired tabulation unit.

Keywords: Residential location selection; Utility; Logit model; Spatial interaction model; Land price; Accessibility (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-18311-9_4

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DOI: 10.1007/978-3-031-18311-9_4

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