| Harnessing the power of machine learning: Can Twitter data be useful in guiding resource allocation decisions during a natural disaster? D Reynard, M Shirgaokar Transportation research part D: Transport and environment 77, 449-463, 2019 | 68 | 2019 |
| Using Twitter to investigate responses to street reallocation during COVID-19: Findings from the US and Canada M Shirgaokar, D Reynard, D Collins Transportation Research Part A: Policy and Practice 154, 300-312, 2021 | 17 | 2021 |
| Understanding urban accessibility: A community-engaged pilot study of entrance features CIJ Nykiforuk, NM Glenn, I Hosler, H Craig, D Reynard, B Molner, ... Social Science & Medicine 273, 113775, 2021 | 13 | 2021 |
| Five classes of geospatial data and the barriers to using them D Reynard Geography compass 12 (4), e12364, 2018 | 10 | 2018 |
| Seeing the food swamp for the weeds: Moving beyond food retail mix in evaluating young people's food environments JA Brown, AR Ferdinands, R Prowse, D Reynard, KD Raine, ... SSM-population health 14, 100803, 2021 | 8 | 2021 |
| Growth over resilience: how Canadian municipalities frame the challenge of reducing carbon emissions D Reynard, D Collins, M Shirgaokar Local Environment 26 (4), 448-460, 2021 | 5 | 2021 |
| Carbon Pricing and Its Effect on Mobility and Social Exclusion in Canada DC Reynard | 1 | 2021 |
| Framing active school travel in Ontario, or how spinach is good for you E Desjardins, J Lam, D Reynard, D Collins, EOD Waygood, A Paez Transportation research part A: policy and practice 180, 103953, 2024 | | 2024 |
| Harnessing the power of natural language processing: Is Twitter data useful for designing policies in a disaster event? D Reynard, M Shirgaokar Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | | 2019 |
| How is Active School Travel Framed in Ontario, Canada? E Desjardins, J Lam, D Collins, D Reynard, EOD Waygood, A Paez Available at SSRN 4213520, 0 | | |
