System Optimization of Shared Mobility in Suburban Contexts

Roxana Gandomani, Moataz Mohamed, Amir Amiri and Saiedeh Razavi
Additional contact information
Roxana Gandomani: Department of Civil Engineering, Faculty of Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Moataz Mohamed: Department of Civil Engineering, Faculty of Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Amir Amiri: McMaster Institute for Transportation and Logistics (MITL), McMaster University, Hamilton, ON L8S 4L8, Canada
Saiedeh Razavi: Department of Civil Engineering, Faculty of Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada

Sustainability, 2022, vol. 14, issue 2, 1-19

Abstract: Shared mobility is a viable choice to improve the connectivity of lower-density neighbourhoods or suburbs that lack high-frequency public transportation services. In addition, its integration with new forms of powertrain and autonomous technologies can achieve more sustainable and efficient transportation. This study compares four shared-mobility technologies in suburban areas: the Internal Combustion Engine, Battery Electric, and two Autonomous Electric Vehicle scenarios, for various passenger capacities ranging from three to fifteen. The study aims to provide policymakers, transportation planners, and transit providers with insights into the potential costs and benefits as well as system configurations of shared mobility in a suburban context. A vehicle routing problem with time windows was applied using the J-Horizon software to optimize the costs of serving existing intra-community demand. The results indicate a similar fleet composition for Battery Electric and Autonomous Electric fleets. Furthermore, the resulting fleet for all four technologies is dominated by larger vehicle capacities. Due to the large share of driver cost in the total cost, the savings using a fleet of Autonomous Electric Vehicles are predicted to be 68% and 70%, respectively, compared to Internal Combustion and Battery Electric fleets.

Keywords: suburban mobility; shared mobility; autonomous electric vehicle; vehicle routing; fleet composition; cost evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/2/876/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/2/876/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:2:p:876-:d:723661

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().