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Incentive Elasticity of Demand for Bike/Walk Program
  • Published Date:
    2008-12-29
  • Language:
    English
Filetype[PDF-315.77 KB]


Details:
  • Publication/ Report Number:
  • Resource Type:
  • TRIS Online Accession Number:
    01160579
  • Abstract:
    The primary objective of this research is to estimate the "incentive" (price) elasticity of demand for using non-motorized transportation (specifically walking and bicycling) to work. Results can be used directly in the formation of local policies to encourage these activities. Benefits include improved environmental quality (Higgens 2005), and decreased incidence of overweight (Higgens 2005; Wen et al. 2006; Merom et al. 2005). A secondary objective is to develop profiles of "heavy," "medium," and "light" users of the program in terms of demographic characteristics, behaviors associated with the program, and seasonality. This study uses the Bike/Walk Bucks program data available from the Campus Area Transportation Management Association (CATMA). Coordinating with CAMTA will allow us access to two different data sets: the primary behavioral data set and a secondary data set with more detailed information about individuals and their use/attitudes toward the Bike/Walk Bucks program. Winston (1985) provides a rather large review of the seminal economic literature related to transportation. Each commuting mode consists of a bundle of characteristics including time, space and cost. The Lancastrian approach to consumer theory addresses these choice bundles (Lancaster 1966). Commuting mode has been discussed in terms of the opportunity cost of time, making Becker’s (1965) A Theory of the Allocation of Time a relevant reference. Both Lancaster and Becker can start as a point of reference for the development of an economic model of the demand for non-motorized transportation for commuting in that the good produced (transportation) is a function of a combination of time inputs and purchased inputs.
  • Content Notes:
    Title in spreadsheet: Modeling Plug-In Hybrid Electric Vehicle Impacts
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