IDEAS home Printed from https://ideas.repec.org/a/eee/paresc/v72y1993i3p239-256.html

A Model Of Multi†Purpose Shopping Trip Behavior

Author

Listed:
  • Arentze, Theo
  • Borgers, Aloys
  • Timmermans, Harry

Abstract

Existing utility†based models of complex choice behavior do not adequately deal with the Intel†dependencies of chained choices. In this paper, we introduce a model of multi†purpose shopping which is aimed at overcoming this shortcoming. In the proposed model, dependencies between choices within as well as between trips are covered by a recursive definition of trip utility. The standard log†likelihood estimation procedure is used to calibrate the model. Simulation experiments show that estimation results are satisfactorily accurate and robust. Comparison of the model to a conventional choice model using simulated data indicates that even low tendencies to make multi†purpose trips have a significant influence on predicted destination choice. Furthermore, it is shown that conventional models do not satisfactorily predict simulated multi†purpose behavior.

Suggested Citation

Handle: RePEc:eee:paresc:v:72:y:1993:i:3:p:239-256
DOI: 10.1111/j.1435-5597.1993.tb01875.x
as

Download full text from publisher

File URL: http://www.sciencedirect.com/science/article/pii/S1056819023026404
Download Restriction: Full text for ScienceDirect subscribers only

File URL: https://libkey.io/10.1111/j.1435-5597.1993.tb01875.x?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

As the access to this document is restricted, you may want to

for a different version of it.

More about this item

Statistics

Access and download statistics

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:eee:paresc:v:72:y:1993:i:3:p:239-256. 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: Catherine Liu (email available below). General contact details of provider: https://www.sciencedirect.com/journal/papers-in-regional-science .

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.