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Evaluating employer-based transportation demand management programs


  • Modarres, Ali


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.

Suggested Citation

  • Modarres, Ali, 1993. "Evaluating employer-based transportation demand management programs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(4), pages 291-297, July.
  • Handle: RePEc:eee:transa:v:27:y:1993:i:4:p:291-297

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    Cited by:

    1. Van Malderen, Laurent & Jourquin, Bart & Thomas, Isabelle & Vanoutrive, Thomas & Verhetsel, Ann & Witlox, Frank, 2012. "On the mobility policies of companies: What are the good practices? The Belgian case," Transport Policy, Elsevier, vol. 21(C), pages 10-19.
    2. Martina Schäfer & Melanie Jaeger-Erben & Sebastian Bamberg, 2012. "Life Events as Windows of Opportunity for Changing Towards Sustainable Consumption Patterns?," Journal of Consumer Policy, Springer, vol. 35(1), pages 65-84, March.
    3. Nozick, Linda K. & Borderas, Hector & Meyburg, Arnim H., 1998. "Evaluation of travel demand measures and programs: a data envelopment analysis approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 331-343, September.

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