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

In: 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

In: 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

In: 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}

}

@mortezakz On my way.20 hours

And while we are at it... congratulations to former honours student @emilyemchen on the acceptance of her first-aut… https://t.co/QMGOe8zBdx5 days

Congrats to @mikaelbrunila and @jack_laviolette on their recent paper "WMDecompose: A Framework for Leveraging the… https://t.co/gQK0JsVjeM5 days

RT @rwesterh87: DEADLINE ALERT Due to several requests, we have decided to extend the submission deadline for #PLATIAL21 by 10 days. The…1 week

@dinomirMT @GIScience_conf Presentations will be posted to the conference website in the coming days.3 weeks