Evaluating employer-based transportation demand management programs
There is little information available on the simultaneous effects of different transportation control measures and techniques for determining the possible result of an employer's transportation demand management program. Regulators, as well as the regulated community, most often rely on common sense and educated guesses in determining the acceptability of a plan. This methodology is both costly and unreliable, especially when the ultimate goal of compliance with the local travel reduction ordinance is concerned. In attempting to develop a quantitative technique for evaluating employer-based transportation demand management programs, this paper examines data from employers in Arizona's Eastern Pima Country, and develops a methodology based on the application of discriminant analysis. The results of this statistical technique suggest that similar methodologies can be employed to develop regionally reliable models. Within a certain level of confidence, these evaluation techniques can determine the possible result of a particular program.
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.
Volume (Year): 27 (1993)
Issue (Month): 4 (July)
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:27:y:1993:i:4:p:291-297. 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: (Zhang, Lei)
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.