IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-031-18311-9_4.html
   My bibliography  Save this book chapter

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

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Toshihiro Osaragi

    (Tokyo Institute of Technology)

  • Maki Kishimoto

    (Tokyo Institute of Technology)

  • Natsumi Tanaka

    (Tokyo Institute of Technology)

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.

Suggested Citation

  • Toshihiro Osaragi & Maki Kishimoto & Natsumi Tanaka, 2023. "Commuters’ Expected Utility Obtained in Decision Making on Residential Location Selection," Progress in IS, in: Volker Wohlgemuth & Stefan Naumann & Grit Behrens & Hans-Knud Arndt & Maximilian Höb (ed.), Advances and New Trends in Environmental Informatics, pages 53-71, Springer.
  • Handle: RePEc:spr:prochp:978-3-031-18311-9_4
    DOI: 10.1007/978-3-031-18311-9_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prochp:978-3-031-18311-9_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.