Multivariate analysis of trip-chaining behavior
This paper examines the relationship between patterns of trip chaining and urban form. The goal is to examine whether lower density environments are related to more frequent reliance upon trip chaining and more complex tours. The analysis uses the 2001 National Household Travel Survey to evaluate household individual travel and trip characteristics alongside a basic measure of residential density. Two estimation techniques, the ordered probit and the negative binomial model, are used to evaluate the factors associated with the tendency to combine trips into more complex tours, measured as the number of stops. The results indicate that, accounting for key household and traveler characteristics, lower density environments lead both to a greater reliance upon trip chaining and to tours that involve more stops along the way. This is followed by a household level analysis of tour generation. Crane and Krizek have suggested that more accessible areas will tend to generate more tours. However, we found no evidence for this in our analysis.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mokhtarian, Patricia L. & Salomon, Ilan, 2001.
"How derived is the demand for travel? Some conceptual and measurement considerations,"
Transportation Research Part A: Policy and Practice,
Elsevier, vol. 35(8), pages 695-719, September.
- Mokhtarian, Patricia & Salomon, Ilan, 2001. "How Derived is the Demand for Travel? Some Conceptual and Measurement Considerations," Institute of Transportation Studies, Working Paper Series qt1z26n1r8, Institute of Transportation Studies, UC Davis.
- Mokhtarian, Patricia L & Salomon, Ilan, 2001. "How Derived is the Demand for Travel? Some Conceptual and Measurement Considerations," University of California Transportation Center, Working Papers qt7cx951n5, University of California Transportation Center.
- Rosenbloom, Sandra & Burns, Elizabeth, 1993. "Gender Differences in Commuter Travel in Tucson: Implications for Travel Demand management Programs," University of California Transportation Center, Working Papers qt036776w2, University of California Transportation Center.
- Gärling, Tommy & Gärling, Anita & Johansson, Anders, 2000. "Household choices of car-use reduction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 309-320, June.
When requesting a correction, please mention this item's handle: RePEc:pio:envirb:v:34:y:2007:i:6:p:953-970. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond)
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.