A Constraint-Based Bicycle Origin-Destination Estimation Procedure
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2019-04-30
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Edition:Final Report 9/1/2016 -4/30/2019
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Abstract:Cycling is an active, green transportation mode that improves environmental sustainability and the livability of urban communities. Promoting cycling also has significant public health benefits. Despite the increasing importance of cycling as a transportation mode, it is often ignored in traditional transportation planning procedures. Origin-destination (O-D) matrix estimation methods have focused on estimating O-D matrices from link traffic counts for motorized vehicles, which are regularly collected by transportation agencies for traffic monitoring purposes. However, traffic monitoring of non-motorized traffic is not as comprehensive as motorized traffic monitoring in the United States. Hence, O-D matrix estimation methods developed for motorized traffic cannot be directly used to estimate bicycle O-D trip matrices. This project proposes a bicycle O-D estimation procedure that is flexible and can be adjusted to different levels of data availability and quality. Bicycle data that are useful for bicycle O-D estimation are first explored. A constraint-based bicycle O-D estimation procedure that utilizes bicycle data from multiple sources is then proposed. A case study is also conducted to demonstrate the proposed methodology. The results demonstrate that in practice, the proposed bicycle O-D estimation procedure is a promising tool.
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