Details:

Creators:
Ryu, Seungkyu ; Su, Jacqueline ; Chen, Anthony
Ryu, Seungkyu ; Su, Jacqueline ; Chen, Anthony Less -
Corporate Creators:
Mountain Plains Consortium
Corporate Contributors:
United States. Dept. of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:
[+]
Bicycle Travel Bicycling Case Studies Network Analysis (Planning) Origin And Destination Route Choice Small Cities Traffic Flow Traffic Volume Travel Demand
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).


Format:
PDF
Collection(s):
US Transportation Collection University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:05872f349095c15490d24d37aa35ea8dca7b1541ae5c759ab9a0d17a068b07d0
Download URL:
https://rosap.ntl.bts.gov/view/dot/29194/dot_29194_DS1.pdf
File Type:

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