Dr Fiona Crawford

  • Lecturer in Transport Planning (Urban Studies & Social Policy)

telephone: 01413307652
email: Fiona.Crawford.2@glasgow.ac.uk
pronouns: She/her/hers

Urban Big Data Centre, 7 Lilybank Gardens, Glasgow, G12 8RZ

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-0500-169X

Biography

Dr Fiona Crawford joined the University of Glasgow in November 2022 as a Lecturer in Transport Planning.  Prior to this she was working at the University of the West of England (UWE) in the Centre for Transport and Society and in the Data Science and Mathematics cluster. 

She has a PhD in Transport Studies from the University of Leeds as well as master’s degrees in Social Research Methods (Social Policy) and Data Science and Analytics.  She is a quantitative social scientist with a particular focus on travel behaviour and associated changes in working patterns and grocery shopping behaviour.  She is passionate about supporting women in STEM (Science, Technology, Engineering and Mathematics).

Research interests

  • Emerging forms of data for understanding travel behaviour
  • Encouraging a shift to more sustainable and active travel modes
  • Within and between person dynamics, i.e. differences in behaviour of an individual from day to day, and systematic differences in behaviour due to the day of the week or the season, for example
  • Transport inequalities and gender biases
  • Relationships between transport and societal trends, for example changing working patterns, online shopping and globalisation

Research groups

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021 | 2020 | 2018 | 2017
Number of items: 8.

2023

Parkin, J., Crawford, F. , Flower, J., Alford, C., Morgan, P. and Parkhurst, G. (2023) Cyclist and pedestrian trust in automated vehicles: An on-road and simulator trial. International Journal of Sustainable Transportation, 17(7), pp. 762-774. (doi: 10.1080/15568318.2022.2093147)

2022

Calvert, T., Crawford, F. , Parkhurst, G. and Parkin, J. (2022) Perceived accessibility of employment sites by jobseekers and the potential relevance of employer-subsidised demand responsive transport to enhance the commute. Cities, 130, 103872. (doi: 10.1016/j.cities.2022.103872)

2021

Chatterjee, K. and Crawford, F. (2021) Changing work and work-related travel and the impact of Covid-19. Built Environment, 47(3), pp. 336-354. (doi: 10.2148/benv.47.3.336)

Crawford, F. , Watling, D. P. and Connors, R. D. (2021) Analysing spatial intrapersonal variability of road users using point-to-point sensor data. Networks and Spatial Economics, (doi: 10.1007/s11067-021-09539-4) (Early Online Publication)

Grant-Muller, S. M. et al. (2021) Technology enabled data for sustainable transport policy. In: Vickerman, R. (ed.) International Encyclopedia of Transportation. Elsevier: Amsterdam, pp. 135-141. ISBN 9780081026717 (doi: 10.1016/b978-0-08-102671-7.10627-x)

2020

Crawford, F. (2020) Segmenting travellers based on day-to-day variability in work-related travel behaviour. Journal of Transport Geography, 86, 102765. (doi: 10.1016/j.jtrangeo.2020.102765)

2018

Crawford, F. (2018) Identifying road user classes based on repeated trip behaviour using Bluetooth data. Transportation Research Part A: Policy and Practice, 113, pp. 55-74. (doi: 10.1016/j.tra.2018.03.027)

2017

Crawford, F. , Watling, D.P. and Connors, R.D. (2017) A statistical method for estimating predictable differences between daily traffic flow profiles. Transportation Research Part B: Methodological, 95, pp. 196-213. (doi: 10.1016/j.trb.2016.11.004)

This list was generated on Thu Nov 21 03:09:40 2024 GMT.
Number of items: 8.

Articles

Parkin, J., Crawford, F. , Flower, J., Alford, C., Morgan, P. and Parkhurst, G. (2023) Cyclist and pedestrian trust in automated vehicles: An on-road and simulator trial. International Journal of Sustainable Transportation, 17(7), pp. 762-774. (doi: 10.1080/15568318.2022.2093147)

Calvert, T., Crawford, F. , Parkhurst, G. and Parkin, J. (2022) Perceived accessibility of employment sites by jobseekers and the potential relevance of employer-subsidised demand responsive transport to enhance the commute. Cities, 130, 103872. (doi: 10.1016/j.cities.2022.103872)

Chatterjee, K. and Crawford, F. (2021) Changing work and work-related travel and the impact of Covid-19. Built Environment, 47(3), pp. 336-354. (doi: 10.2148/benv.47.3.336)

Crawford, F. , Watling, D. P. and Connors, R. D. (2021) Analysing spatial intrapersonal variability of road users using point-to-point sensor data. Networks and Spatial Economics, (doi: 10.1007/s11067-021-09539-4) (Early Online Publication)

Crawford, F. (2020) Segmenting travellers based on day-to-day variability in work-related travel behaviour. Journal of Transport Geography, 86, 102765. (doi: 10.1016/j.jtrangeo.2020.102765)

Crawford, F. (2018) Identifying road user classes based on repeated trip behaviour using Bluetooth data. Transportation Research Part A: Policy and Practice, 113, pp. 55-74. (doi: 10.1016/j.tra.2018.03.027)

Crawford, F. , Watling, D.P. and Connors, R.D. (2017) A statistical method for estimating predictable differences between daily traffic flow profiles. Transportation Research Part B: Methodological, 95, pp. 196-213. (doi: 10.1016/j.trb.2016.11.004)

Book Sections

Grant-Muller, S. M. et al. (2021) Technology enabled data for sustainable transport policy. In: Vickerman, R. (ed.) International Encyclopedia of Transportation. Elsevier: Amsterdam, pp. 135-141. ISBN 9780081026717 (doi: 10.1016/b978-0-08-102671-7.10627-x)

This list was generated on Thu Nov 21 03:09:40 2024 GMT.

Grants

  • OptiWaSP:​ Optimised Walking Schoolbus Planning​
    ESPRC Standard Grant (£1.2 million, with £62k for Glasgow)
    2022 to 2025

  • Using travel behaviour during the pandemic to provide insights into the air quality impacts of changes in working and shopping behaviour
    Clean Air Discovery & Innovation project awarded by the TRANSITION Clean Air Network 
    2021

Supervision

Currently supervising:

  • Thi Phuong Linh Le

 

I welcome enquiries to supervise research students with interests in:

  • New data or new methods for examining travel behaviour
  • Intrapersonal variability in travel patterns
  • Air quality and transportation
  • Connections between travel behaviour and social trends, for example changing working patterns or grocery shopping behaviour

Teaching

I am the programme convenor for the MSc Urban Transport.

I am also course convenor and lecturer for 

Additional information

I am a Chartered Statistician and a member of the Royal Statistical Society.