摘要: |
Non-motorized travel modes, and cycling in particular, are experiencing a
resurgence in many U.S. states as well as in other countries. Still, most
studies usually focus on bicyclists� behaviors in areas with strong bicycling
cultures. As part of two separate projects, a survey was deployed in areas
without a strong bicycling culture (N=1188, N=1335), with the intent to
measure the preferences for cycling infrastructure among current and
potential cyclists. Separate analyses have been conducted on each of
these datasets independently. This project calls for the combination of
these two datasets to allow for a more statistically robust analyses and a
more general description of variations between different sites. Initial
regression models will be used to describe stated preferences for bicycle
infrastructure using explanatory variables such as the presence of
parking, number of lanes, and the type of bicycle facility. Further models
will then be developed, including the addition of sociodemographic and
attitudinal data, as well as the investigation of other model structures,
such as segmented models and multinomial logit models.
This project will also have access to data from an ongoing follow-up
survey with which models from the first wave will be re-estimated and
analyzed. Mode choice data will also be analyzed from the two survey
waves, with a special interest in exploring any shifts in mode choice
throughout the panel and how these mode shifts can influence the
general system and their impacts on energy and emissions. Results from
this study provide useful insights into ways to promote sustainability,
maximize the return of investments, and design bike infrastructure that
can attract patronage and be most successful in areas lacking a
substantial bicycling population. |