摘要: |
The purpose of this project is to develop and implement car shedding, intrazonal travel, and walk and bike mode choice models that can be used in conjunction with a conventional four-step model to capture neglected effects of the built environment on travel behavior.
Conventional four-step models, used by virtually all metropolitan planning organizations, state departments of transportation and local transportation planning agencies to forecast future travel patterns and develop long-range transportation plans, are underspecified, which is to say that important variables are omitted. In particular, conventional models fail to account for local land use patterns, street network designs, and urban design features�indeed, the entire built environment at the scale of a neighborhood or activity center. In many four-step models, vehicle ownership is treated as a function of sociodemographic
variables only (or largely), and the phenomenon of car shedding as the built environment becomes more compact is not fully accounted for. In many models, only trips by vehicle are modeled, and trip rates are related only to sociodemographic characteristics of people, not characteristics of place. Bicycling, in particular, is seldom treated as a separate transportation mode.
In nearly all four-step models, households, jobs, and other trip generators are assumed to be located at a single point, the zone centroid, and the entire local street network is reduced to one or more centroid connectors to the regional street network. This precludes the modeling of intrazonal travel in terms of the local built environment. While there are other ways in which conventional travel demand models fail to account for land use-travel interactions, these three are the focus of this proposal.
This proposal seeks to develop and implement car shedding, intrazonal travel, and walk and bike mode choice models that can be used in conjunction with a conventional four-step model to capture neglected effects of the built environment on travel behavior. These models will be calibrated with data from our 15-region household travel database, the largest household travel database of its sort ever assembled, with over 60,000 households and 600,000 trips. Trips have been linked to built environmental data for buffers around geocoded trip ends. These models will be validated with data from the 2012 Utah Travel Survey. These
models will pre-process inputs to the four-step process and/or post-process outputs. They will be incorporated into the Wasatch Front Regional Council-Mountainland Association of Governments four-step model and, based on this case study, will be offered to other metropolitan planning organizations for incorporation into their models. |