A statistical method for estimating predictable differences between daily traffic flow profiles F Crawford, DP Watling, RD Connors Transportation Research Part B: Methodological 95, 196-213, 2017 | 71 | 2017 |
Identifying road user classes based on repeated trip behaviour using Bluetooth data F Crawford, DP Watling, RD Connors Transportation Research Part A: Policy and Practice 113, 55-74, 2018 | 43 | 2018 |
Segmenting travellers based on day-to-day variability in work-related travel behaviour F Crawford Journal of Transport Geography 86, 102765, 2020 | 32 | 2020 |
Changing Work and Work-Related Travel and the Impact of Covid-19 K Chatterjee, F Crawford Built Environment 47 (3), 336-354 (19), 2021 | 18 | 2021 |
Cyclist and pedestrian trust in automated vehicles: An on-road and simulator trial J Parkin, F Crawford, J Flower, C Alford, P Morgan, G Parkhurst International journal of sustainable transportation 17 (7), 762-774, 2023 | 17 | 2023 |
Perceived accessibility of employment sites by jobseekers and the potential relevance of employer-subsidised demand responsive transport to enhance the commute T Calvert, F Crawford, G Parkhurst, J Parkin Cities 130, 2022 | 4 | 2022 |
The benefits of getting England cycling F Crawford, R Lovelace CTC, 2015 | 4 | 2015 |
Analysing Spatial Intrapersonal Variability of Road Users Using Point-to-Point Sensor Data F Crawford, D Watling, R Connors Networks and Spatial Economics, 2021 | 3 | 2021 |
Methods for analysing emerging data sources to understand variability in traveller behaviour on the road network F Crawford University of Leeds, 2017 | 2 | 2017 |