Conference – Platial Analysis Lab

CAG2026: Catching Up with Canadian Geography

June 8, 2026

The lab made the trip out to Victoria, BC for this year’s Canadian Association of Geographers Annual Meeting…

DDMA 2025 Montréal workshop report published

February 23, 2026

The report from the Data-Driven Mobility Analytics workshop 2025 (Montréal) is now online…

Reflections on the 2nd Data-Driven Mobility Analytics Workshop

October 28, 2025

On October 27, the lab hosted the second Data-Driven Mobility Analytics Workshop in Montreal…

NABSA & Esri Canada Conferences

October 16, 2025

It has been a busy week at the Platial Analysis Lab as we shared our work and connected with colleagues across Canada…

Highlights from GIScience 2025

September 5, 2025

Last week, the lab participated in the 13th International Conference on Geographic Information Science in Christchurch, New Zealand…

Platial Lab at AGILE 2025 in Dresden

June 19, 2025

Last week, two members of the Platial Lab community attended the Association of Geographic Information Laboratories (AGILE) 2025 conference in Dresden…

Highlights from AAG 2025 in Detroit

March 28, 2025

PhD candidate Dan Qiang and Prof. Grant McKenzie attended the American Association of Geographers (AAG) annual meeting in Detroit, MI this week…

TRB Annual Meeting 2025

January 6, 2025

Priyanka Verma and Grant McKenzie attended the Transportation Research Board Annual Meeting this year in Washington, D.C…

Verma, Priyanka; McKenzie, Grant

When cities look alike but move differently: comparing urban regions using micromobility trip patterns Journal Article

In: Journal of Location Based Services, 2026.

Abstract | Links | BibTeX

Qiang, Dan; McKenzie, Grant

How events move us: Estimating the causal effects of special events on shared micromobility Journal Article

In: Journal of Geovisualization and Spatial Analysis, vol. 10, iss. 1, 2025.

Abstract | Links | BibTeX

@article{nokey,

title = {How events move us: Estimating the causal effects of special events on shared micromobility},

author = {Dan Qiang and Grant McKenzie},

url = {http://grantmckenzie.com/academics/Qiang2025b.pdf},

doi = {10.1007/s41651-025-00244-1},

year  = {2025},

date = {2025-12-05},

urldate = {2025-12-05},

journal = {Journal of Geovisualization and Spatial Analysis},

volume = {10},

issue = {1},

publisher = {Springer},

abstract = {Special events, such as festivals, parades, and protests, can cause sudden surges or disruptions in travel demand, thereby placing stress on transportation systems. As shared micromobility becomes an increasingly important part of urban transportation, understanding how these events affect its ridership is crucial for ensuring safety, efficiency, and sustainability. In this study, we investigate the causal impacts of various event types by applying Double Machine Learning (DML) to high-resolution shared micromobility trip data (e-bikes and e-scooters) and multi-source event records in Washington, D.C. These events include government-authorized large events, independently organized small events, and government-registered protests. Our results show that many events have far stronger actual influences on shared micromobility than correlational analysis suggests, as confounding factors can mask their actual impact. For instance, festivals show four to seven times greater impact under causal estimation. We also find that the increase in gas prices suppresses discretionary travel, resulting in reduced shared micromobility usage during events. Another key insight is the different demand mechanisms: large events interact with temporal and built environment features to boost ridership, whereas small events are primarily influenced by temporal features, such as event duration and weather, with little influence from infrastructure factors. These findings highlight the need for tailored policies, including infrastructure investment for large events and operational incentives for smaller ones. This research provides a causal foundation for urban mobility planning, supporting the development of more resilient and efficient transportation systems in event-dense urban areas.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Romm, Daniel; Chavez, Jose Arturo Jasso; Kinman, Lexi; Salsabilian, Pegah; McKenzie, Grant; Manaugh, Kevin

The Cars are Going to be Alright: Examining Micromobility Infrastructure Space Allocation and Potential Improvement Scenarios in Montréal Journal Article

In: Journal of Cycling and Micromobility Research, no. 100071, 2025.

Abstract | Links | BibTeX

@article{Romm2025,

title = {The Cars are Going to be Alright: Examining Micromobility Infrastructure Space Allocation and Potential Improvement Scenarios in Montréal},

author = {Daniel Romm and Jose Arturo Jasso Chavez and Lexi Kinman and Pegah Salsabilian and Grant McKenzie and Kevin Manaugh},

doi = {10.1016/j.jcmr.2025.100071},

year  = {2025},

date = {2025-06-07},

urldate = {2025-06-03},

journal = {Journal of Cycling and Micromobility Research},

number = {100071},

abstract = {Many cities today are redesigning their streetscapes to redress the historical privilege afforded to the automobile in planning and policy. Much streetscape redesign is around transport infrastructure space, which largely prioritizes car travel and marginalizes other travel modes. Attempts by planners and policy makers to this end often are met with public opposition by advocates of the car, protesting about losing space on the street. This is empirically investigated with the case of Montréal by determining the allocation of street space to transport infrastructures, deriving measures of infrastructure space per traveller, and devising an Equal Infrastructure Allocation score to measure the imbalance between infrastructure provision per travel mode. Per borough, the distribution of transport infrastructure is examined, alongside correlations with demographic, socio-economic, land use, and crash rate variables. Potential scenarios of significant micromobility infrastructure improvement are modelled to test how infrastructure space apportionment per mode changes. This investigation discovers that even large improvements to micromobility infrastructure have a minor effect on space allocated to automobiles. Equal Infrastructure Allocation score and associated indicators are presented as useful tools for planners and policy makers implementing micromobility infrastructure projects, to better communicate with the public and address potential opposition.  },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

McKenzie, Grant; Romm, Daniel; Féré, Clara; Balarezo, Maria Laura Guerrero

Gender differences in urban recreational running: A data-driven approach Journal Article

In: Journal of Transport Geography, vol. 124, no. 104171, 2025.

Abstract | Links | BibTeX