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

Abstract

AbstractThis 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.KeywordsResidential location selectionUtilityLogit modelSpatial interaction modelLand priceAccessibility