Multi-Criteria Decision-Making Framework for Determining Public Microtransit Service Zones

Author:

Erdoğan Sevgi1ORCID,Nohekhan Amir2ORCID,Shokputov Alibi3ORCID,Sadabadi Kaveh Farokhi4ORCID

Affiliation:

1. School of Information Studies, Syracuse University, Syracuse, NY

2. GEICO Insurance, Chevy Chase, MD

3. National Center for Smart Growth Research and Education, School of Architecture, Planning and Preservation, University of Maryland College Park, College Park, MD

4. Center for Advanced Transportation Technology, University of Maryland College Park, College Park, MD

Abstract

The paper addresses a critical research gap in the literature by focusing on the identification of service areas for microtransit. It presents a framework for identifying areas where microtransit would have a higher potential for success. The primary objective is to assist agencies in their efforts to provide microtransit services by offering a robust and flexible decision-making framework. This framework serves as an intermediate step between an initial planning study that identifies candidate zones and a detailed feasibility study, which is currently missing in the literature. The framework is a multi-criteria decision-making (MCDM) process that can be applicable to various contexts. Specifically, our approach utilizes a lexicographic decision rule for ranking microtransit service priority measures for each census block of a selected region, such as a county. We employ two composite measures for ranking: Microtransit Propensity Index (MPI) and Weighted Accessibility Score (WAS). The latter combines transit access to work and to eight points of interest (POIs). This framework can be adapted to identify zones suitable for microtransit service based on different objectives, such as connecting residents to transit centers, providing first- and last-mile connections, providing services in transit deserts, providing flexible transit service to low-income communities, or providing access to the POIs within a zone. The effectiveness of the proposed framework is evaluated using the case of Prince George’s County in Maryland. The results reveal that our approach provides greater insights into the feasibility of an area for microtransit compared with relying solely on a single index such as MPI.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference31 articles.

1. Shaheen S., Cohen A. Impacts of Microtransit: Early Understanding. 2018. https://medium.com/move-forward-blog/impacts-of-microtransit-early-understanding-ba4e73fbe531.

2. MCDOT. Ride on Flex Microtransit Performance Assessment. Montgomery County Department of Transportation Final Report. Prepared by the KFH Group for Montgomery County through the Metropolitan Washington Council of Government’s Transportation and Land-Use Connections Program. 2020. https://www.mwcog.org/assets/1/6/FY20_Montgomery_-_Flex_Microtransit.pdf.

3. KFH Group for Arlington County, Virginia. Demand Response Transit Microtransit: A Guide for Implementing Flexible Transportation Services. 2019. https://www.arlingtontransit.com/sites/art/assets/File/Arlington_County_Guide_for_Flexible_Transit_reduced2019.pdf. Accessed June, 2021.

4. Via Mobility, LLC. Microtransit Feasibility Study: Hall County, GA. 2019. https://www.ghmpo.org/wp-content/uploads/2019/11/Micro-Transit-Feasibility-Study.pdf. Accessed June, 2021.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3