Uncategorized – Platial Analysis Lab

Reflections on the Specialist Meeting on Sociotechnical Foundations of GeoAI

November 19, 2024

In late October, Prof. McKenzie attended the Vienna specialist meeting on Sociotechnical Foundations of GeoAI…

Reflections on my first sabbatical

August 15, 2024

As my sabbatical comes to an end, I have been reflecting on the experiences and connections that have shaped the past academic year…

Lab members receive prestigious doctoral scholarships

June 13, 2024

Daniel Romm received a Vanier Canada Graduate scholarship and Priyanka Verma received a doctoral scholarship from the Fonds de recherche du Québec…

Workshop: Geoprivacy for Personalized Health 2024

April 22, 2024

We are co-organizing (with LISER) a workshop on Geoprivacy for Personalized Health on Sept 13th in Montreal…

MixMap presentation at AutoCarto 2022

December 30, 2022

The video of co-author Sarah Battersby (Tableau Research) presenting our MixMap AutoCarto paper is available online…

New paper commenting on the state of POI research

July 2, 2022

Prof McKenzie and colleagues provides an overview of the state of the art and challenges facing research on this topic…

Welcome Priyanka and Elodie

September 14, 2021

We are very excited to welcome two new team members to the Platial Analysis Lab. Priyanka Verma and Elodie Ithier…

Congratulations Honours Students Emily and Jonah

May 18, 2021

Congratulations to Emily Chen and Jonah Levitt on completing their honours theses. Check out there work here…

The Environmental Impact of Micro-mobility Services

December 16, 2019

Given the recent discussions surrounding the environmental impact of new e-scooters, I thought I would do a quick comparison of emissions…

Zhang, Hongyu; McKenzie, Grant

Geoprivacy knowledge, attitudes, and behaviours in contemporary China Journal Article

In: Geographical Review, 2024.

Abstract | Links | BibTeX

Qiang, Dan; McKenzie, Grant

Navigating the Post-Pandemic Urban Landscape: Disparities in Transportation Recovery & Regional Insights from New York City Journal Article

In: Computers, Environment and Urban Systems, vol. 110, pp. 102111, 2024.

Abstract | Links | BibTeX

Verma, Priyanka; McKenzie, Grant

Regional Comparison of Socio-Demographic Variation in Urban E-scooter Usage Journal Article

In: Environment and Planning B: Urban Analytics and City Science, 2024.

Abstract | Links | BibTeX

@article{Verma2024,

title = {Regional Comparison of Socio-Demographic Variation in Urban E-scooter Usage},

author = {Priyanka Verma and Grant McKenzie},

url = {https://grantmckenzie.com/academics/Verma_2024.pdf},

year  = {2024},

date = {2024-03-26},

urldate = {2024-03-09},

journal = {Environment and Planning B: Urban Analytics and City Science},

abstract = {In recent years we have witnessed explosive growth in the shared, free-floating, electric scooter industry. While still controversial in many North American cities, a number of large e-scooter operators have managed to carve out a piece of the urban transportation landscape. As these vehicles shift from novelty services to increasingly reliable modes of short personal travel, the discussion has turned to investigating who exactly benefits from these micromobility services and who are being left behind. Though population surveys have been administered to identify the socio-demographic characteristics of e-scooter riders in the past, little work has linked these characteristics through trips, or investigated the regional variation in these demographic factors. In this work we explore the variability and similarities in e-scooter rider characteristics across three major U.S. cities. To accomplish this, we apply a Moran’s Eigenvector Spatial Filtering linear regression model and compare our results to more commonly used spatial regression approaches. Our results indicate that the spatial filtering approach outperforms other methods in identifying socio-demographic characteristics of e-scooter users, across multiple regions. We find that many socio-demographics associated with e-scooter usage are regionally variant, despite younger users making up the core user base in all cities. There are variations in usage based on gender, income, and race across cities with Black and Hispanic populations remaining underserved. The implications of these findings are discussed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Brunila, Mikael; LaViolette, Jack; CH-Wang, Sky; Verma, Priyanka; Féré, Clara; McKenzie, Grant

Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City Best Paper Proceedings Article

In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023), 2023.

Abstract | Links | BibTeX