Alumni

Graduate Students

Myeong Lee – Assistant Professor, George Mason University
Zheng Liu – Doctoral Student, University of Maryland

Undergraduate Research Assistants

Jeremy Steele – Analyst (Transit)
Morgan Guttman

McKenzie, Grant; Romm, Daniel

Measuring urban regional similarity through mobility signatures Journal Article

Computers, Environment and Urban Systems, 89 , pp. 101684, 2021.

Abstract | Links | BibTeX

McKenzie, Grant; Adams, Benjamin

A country comparison of place-based activity response to COVID-19 policies Journal Article

Applied Geography, 125 (2020), pp. 102363, 2020.

Abstract | Links | BibTeX

McKenzie, Grant

Urban mobility in the sharing economy: A spatiotemporal comparison of shared mobility services Journal Article

Computers, Environment and Urban Systems, 79 , pp. 101418, 2020.

Abstract | Links | BibTeX

@article{McKenzieCEUS2019,
title = {Urban mobility in the sharing economy: A spatiotemporal comparison of shared mobility services},
author = {Grant McKenzie },
url = {https://www.grantmckenzie.com/academics/McKenzie_CEUS2019.pdf},
year = {2020},
date = {2020-01-01},
journal = {Computers, Environment and Urban Systems},
volume = {79},
pages = {101418},
abstract = {The influx of micro-mobility services, such as dockless scooter-share and e-bikes, in many cities are contributing to a substantial change in urban transportation with adoption rates reminiscent of other shared-mobility services, such as ride-hailing, years prior. Touted as a solution to the last mile problem, a multitude of micro-mobility companies have situated themselves in urban centers promising low cost alternative transportation options for short, urban travel. The rapid arrival of these companies, however, has left little time for city officials, transportation planners, and citizens to assess the demand for these services and compare them to existing transportation options. In this work, we investigate two key aspects of these micro-mobility services. First, we identify the spatial and temporal differences between these mobility companies and highlight the nuanced differences in usage patterns. Second, we compare these new services to an existing mode of transportation, namely automobile-based ride-hailing, with regards to differences in travel time within a city. The results of these analyses indicate that while many micro-mobility companies are spatiotemporally similar, there are notable differences in where and when these services are used. Similarly, we find that automobile travel is not always the fastest means of transportation within an urban setting. During periods of heavy traffic congestion, e.g., rush hour, micro-mobility services offer a faster means of travel within the city. The findings presented in this work offer evidence on which to inform urban planning and transportation policy with respect to shared mobility services, free floating vehicles, and alternative urban transportation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@kgeographer Not sure why, but 'reconciling' has a 'one of these is more important than the other' vibe to it for m… https://t.co/HcfN8eH8Mt2 weeks

RT @grantdmckenzie: I did a quick analysis of @BIXImontreal's #ebike trips and found (not surprisingly) that trips on e-bikes tend to be lo…2 weeks

New paper (and platform) measuring urban regional similarity through mobility signature in #CEUS by lab members… https://t.co/CGt9GlJn1X4 weeks

Lab member Hongyu Zhang will be chairing the #Geospatial #DataScience paper presentation session at #CAG2021 later… https://t.co/GaCa2u1pok2 months

Lab member Daniel Romm will be presenting in the #Geospatial #DataScience lightning talk session at #CAG2021 today.… https://t.co/DSu6oHYxMt2 months