Quantifying the Environmental and Health Impacts of Curbside Management for Emerging Multimodal Mobility Services

Details

• Creators:
  Wu, Guoyuan ; Zhao, Xuanpeng ; Hao, Peng ; Luo, Ji ; Ding, Yifan
• Corporate Creators:
  Center for Advancing Research in Transportation Emissions, Energy, and Health. Texas A&M Transportation Institute ; University of California, Riverside
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Air Quality Bottlenecks Case Studies Curbs Dispersion Modeling Health Microscopic Traffic Flow Mobility Multimodal Transportation Pickup And Delivery Service Pollutants Tailpipe Emission Traffic Simulation Vulnerable Road Users Microscopic Traffic Simulation

  More +
• Publication/ Report Number:
  05-49-UCR
• Resource Type:
  Tech Report
• Geographical Coverage:
  California;United States
• Edition:
  Final Report- February 1, 2021–June 30, 2022
• Corporate Publisher:
  Center for Advancing Research in Transportation Emissions, Energy, and Health. Texas A&M Transportation Institute
• Abstract:
  Increasing transportation-related activities, including emerging multimodal mobility on-demand (M3OD) services, have raised public concerns about roadway traffic and curbside management. However, most existing studies have focused on reducing traffic congestion or improving pickup and drop-off efficiency. Much less attention has been paid to air quality and human exposure. To address these gaps, we developed an integrated simulation platform capable of quantifying the environmental and health impacts at the microscopic level, such as instantaneous pollutant concentration and inhale mass per pedestrian. This innovative platform consists of five key modules: 1) Simulation of Urban Mobility for microscopic traffic modeling, 2) Motor Vehicle Emission Simulator for microscopic emission modeling, 3) a grid-based point-source dispersion model where the parameters have been calibrated by real-world measurements, 4) a MATLAB-based concentration visualizer displaying the network-wise concentration along with the simulation run, and 5) a human exposure model to estimate the instantaneous or accumulative inhale mass of target pollutants. In addition, we conducted a case study on M3OD services with different pickup strategies. Results showed that for the scenario where everyone is picked up at the same location, human exposures to target pollutants (both nitrogen oxides and fine particulate matter in this study) were 70 and 82 percent (on average), respectively, higher than those in the scenario where pickup locations are distributed. The proposed traffic-health integrated analysis, modeling, and simulation platform can provide the quantitative results of traffic-related air quality and health impacts, and the platform is very useful for evaluating the potential environmental issues for various transportation systems management and operations strategies.
• Format:
  PDF
• Funding:
  69A3551747128
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:285a9cdd8b710dcd499b5d08843a3eb4e117ed6f1c1f15980410b95c3434b355483e2bdd55934ab71fa6adf9f1327fd53530b9fef80f29bb6291950ae34d8639
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/68432/dot_68432_DS1.pdf
• File Type:
  [PDF - 4.06 MB ]