摘要: |
Building from Phase 1 of the pedestrian systems work (i.e., qualitative systems maps exploring hypothesized factors underlying pedestrian safety trends), the overall goal of this Phase 2 project is to develop a system dynamics simulation model that can be used as a learning tool to explore the pedestrian safety impacts of specific, current policy approaches. Given the recent focus and proposed implementation of congestion pricing policies in the U.S., the research team will specifically explore the pedestrian safety impacts of these policies, illustrating how system dynamics tools can be used to create virtual learning environments and explore potential system-wide effects of policies prior to implementation. The specific objectives of this project are to: (1) Understand and summarize the current evidence base around congestion pricing policies. (2) Develop a system dynamics learning model to explore congestion pricing impacts on pedestrian safety, as well as other system-wide metrics (e.g., vehicle miles traveled, vehicle-vehicle crashes, vehicle-pedestrian crashes). (3) Incorporate relevant Phase 1 project findings (interconnected factors and hypothesized system behavior producing pedestrian safety trends) into the system dynamics simulation model. (4) Engage pedestrian safety and/or congestion pricing experts throughout model development to ensure creation of a stakeholder-relevant learning model that can illustrate key insights about the system dynamics approach, congestion pricing dynamics, and what would be needed to fully calibrate and validate the model for a given location. (5) Develop a user-friendly version of the model that can be disseminated and used to demonstrate how system dynamics models can be used as powerful tools to facilitate transportation policy and intervention conversations. |