Shared electric scooters and transportation equity : a multivariate spatial regression analysis of environmental factors on revealed travel behavior and mode shift potential

The past year has seen the emergence of the shared electric scooter: a new form of micro-mobility in the United States. Electric scooters embody many of the historic trends and contradictions endemic to innovation and marginalization in the transportation space. Researchers and policy-makers are faced with a number of unanswered questions about who travels on scooters and what factors might influence when and how they are used. Hexagonal spatial binning feeds a series of spatial lag models to identify explanatory environmental and demographic variables for trip characteristics. These models reveal that employment density and the location of rebalance points are among the strongest indicators of scooter activity overall, but show significant variation when models are subsetted by time of day. The Communities of Concern framework, adapted from the Association of Bay Area Governments, provides a regionally-sensitive index of relative marginalization to undergird the analysis. These findings are placed in context with transportation justice and broad outlines of current e-scooter policy. Additionally, a framework for examining mode shift potential using Open Trip Planner is discussed, and preliminary results are described. Use patterns are also analyzed by time and in relation to contemporaneous weather.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Urban Studies and Planning

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Arnell, Bernard Maxwell.

Advisor dc:contributor.advisor

• Jinhua Zhao.

• Urban Studies and Planning.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/123903

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/123903