Agent-Based Model Simulating Pedestrian Behavioral Response to Environmental Structural Changes

Details

• Creators:
  Lobben, Amy ; Bone, Christopher
• Corporate Creators:
  University of Oregon, Eugene. Dept. of Geography
• Subject/TRT Terms:
  Agent Based Models Disabilities Infrastructure Land Use Pedestrians Pedestrians And Bicyclists Physically Handicapped Persons Planning And Forecasting Quality Of Life Research Hub Transportation Planning Travel Behavior Urban Areas

  More +
• Publication/ Report Number:
  NITC-RR-696
• Resource Type:
  Tech Report
• Geographical Coverage:
  North America ; United States
• TRIS Online Accession Number:
  01641033
• Edition:
  Final Report
• Corporate Publisher:
  National Institute for Transportation and Communities
• NTL Classification:
  NTL-PEDESTRIAN AND BICYCLES-PEDESTRIAN AND BICYCLES ; NTL-PLANNING AND POLICY-PLANNING AND POLICY
• Abstract:
  The authors' research focused on understanding the travel behavior of individuals in complex urban environments. Specifically, the authors investigated how land use patterns and infrastructure influence how individuals across a broad range of travel abilities navigate through urban landscapes. The overall project goal was to develop a transportation planning tool that allows users to simulate pedestrian travel behavior. The tool was built on a computation model that was developed through rigorous measures and observations of pedestrian travel behavior. The authors' definition of pedestrian includes a broad perspective as one of their aspirations through this project was to expand the definition of what constitutes livability for all citizens. Through the help of project collaborators, the authors recruited and included people with disabilities in their measurement and modeling research. This research was conducted through a four-stage research plan. Stages one and two included testing with and observation of research participants. In stage one, the authors asked participants to complete a sit-down test that measures demographics and cognitive travel decision-making. In stage two, the authors asked the same group of participants to conduct travel activities in an urban landscape. Stage three included using the measures and observations gathered through stages one and two to generate a computational model of pedestrian travel behavior. The final stage, four, focused on developing an easy-to-use interface that will allow transportation planners to directly interact with the pedestrian model developed in stage three.
• Format:
  PDF
• Funding:
  696
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha256:4eb4a1143682079ea76a9325c6a21c5e674525fa89cc7090af266feebaddd590
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/35645/dot_35645_DS1.pdf
• File Type:
  [PDF - 931.45 KB ]