A bicycle network analysis tool for planning applications in small communities.

Details

• Creators:
  Ryu, Seungkyu ; Su, Jacqueline ; Chen, Anthony
• Corporate Creators:
  Mountain Plains Consortium
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Small cities
  • Bicycling
  • Route choice
  • Bicycle travel
  • Network analysis (Planning)
  • Origin and destination
  • Traffic flow
  • Traffic volume
  • Travel demand
  • Case studies
• Publication/ Report Number:
  MPC 15-285
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mountain Plains Consortium
• Abstract:
  Non-motorized transportation modes such as bicycles constitute an important part of a ; community’s transportation system; they are vital to the success of transit-oriented developments ; (TODs). However, bicycles were often ignored in transportation planning and in travel demand ; forecasting modeling. At best, they were treated as a byproduct in the planning process. In ; addition, many cities have begun to invest and promote cycling as a healthy, environmentally ; friendly, and economical alternative mode of travel to motorized vehicles (especially private ; motorized vehicles). However, the current practice in modeling bicycle trips in a network is ; inadequate. Only a few research efforts focus on network analysis for bicycle trips (e.g., ; Klobucar and Fricker, 2007; Broach et al., 2011; Mekuria et al., 2012). These methods provide ; an initial effort to develop a traffic assignment method for bicycle trips, but they are too ; simplistic (i.e., simply based on all-or-nothing (AON) assignment method using a single ; attractiveness measure (e.g., distance, safety, or a composite measure of safety multiplied by ; distance). ; Compared with route choice behavior for drivers of private motorized vehicles, route choice ; behavior for cyclists is much more complex; there are many influential factors affecting cyclist ; route choice decisions. Many empirical studies on bicycle route choice analysis indicate that ; cyclists choose routes based on a number of criteria (e.g., distance, number of intersections, road ; grade, bike facility, safety, etc.). Due to a diverse set of influential factors in bicycle travel, ; many route planners provide a variety of bicycle routes based on different factors (e.g., least ; elevation gain route, shortest distance route, safest route, least accident route, bike friendly route, ; lowest pollution route, route with green space, etc.) to satisfy the requirements of different ; cyclists (see Table 1.1). Note that all these provided routes are based on a single objective (i.e., ; shortest path based on distance or safest route based on some measure of safety).
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29194/dot_29194_DS1.pdf
• File Type:
  [PDF - 2.14 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:05872f349095c15490d24d37aa35ea8dca7b1541ae5c759ab9a0d17a068b07d0