Enhancement of the Impacts 2050 model to enable a whole system sustainability assessment of rideshare

Emerging concepts, such as Mobility as a Service (MaaS), could evolve to provide sustainable mobility, especially in densely populated urban areas. However, recent studies highlight the challenge of evaluating how the complex interactions of user demographics, mode choice, vehicle automation, governance, and efficiency will impact the sustainability of future mobility. Given this challenge, this research identifies a whole system (STEEP - social, technical, economic, environmental, and political) framework as essential to assess the overall sustainability of emergent urban mobility systems such as rideshare. The need is a single tool that can rapidly explore the long-range sustainability impact of such alternative future mobility scenarios for a given city region. This paper documents enhancements made to Impacts 2050, a strategic-level model of urban mobility, to address this need, including updates to the statistical travel behavior model and the addition of rideshare including trip occupancy. Results obtained with the enhanced Impacts 2050 showed that, while rideshare use increased significantly for some scenarios, its overall mode share remained limited. In addition, though rideshare enabled users to shed car ownership, the overall percentage increase of “no car ownership” was low. An urban mobility sustainability scorecard based on STEEP and generated by output from the enhanced Impacts 2050 is presented.

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Publication Details

Journal
Multimodal Transportation
Published
2024-09-03
DOI
https://doi.org/10.1016/j.multra.2024.100171
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
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article

Enhancement of the Impacts 2050 model to enable a whole system sustainability assessment of rideshare

Mark Muller, Ross Lee, Brett Fusco, Gonçalo Homem de Almeida Correia et al.
Multimodal Transportation
Transportation and Mobility Innovations
article

Enhancement of the Impacts 2050 model to enable a whole system sustainability assessment of rideshare

Mark Muller, Ross Lee, Brett Fusco, Gonçalo Homem de Almeida Correia, Seri Park, Yimin Zhang
article en

Abstract

Emerging concepts, such as Mobility as a Service (MaaS), could evolve to provide sustainable mobility, especially in densely populated urban areas. However, recent studies highlight the challenge of evaluating how the complex interactions of user demographics, mode choice, vehicle automation, governance, and efficiency will impact the sustainability of future mobility. Given this challenge, this research identifies a whole system (STEEP - social, technical, economic, environmental, and political) framework as essential to assess the overall sustainability of emergent urban mobility systems such as rideshare. The need is a single tool that can rapidly explore the long-range sustainability impact of such alternative future mobility scenarios for a given city region. This paper documents enhancements made to Impacts 2050, a strategic-level model of urban mobility, to address this need, including updates to the statistical travel behavior model and the addition of rideshare including trip occupancy. Results obtained with the enhanced Impacts 2050 showed that, while rideshare use increased significantly for some scenarios, its overall mode share remained limited. In addition, though rideshare enabled users to shed car ownership, the overall percentage increase of “no car ownership” was low. An urban mobility sustainability scorecard based on STEEP and generated by output from the enhanced Impacts 2050 is presented.

Multimodal TransportationVol. 3(4)
University of Nevada, Reno (US), Villanova University (US), Delft University of Technology (NL)
Responsible consumption and production
Openalex Percentile: Top 85%
Transportation and Mobility Innovations
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Enhancement of the Impacts 2050 model to enable a whole system sustainability assessment of rideshare — Mark Muller, Ross Lee, et al. · Multimodal Transportation (2024) | TGRS Research Map | TGRS