Dr Varun Raturi
- Research Associate in Transport Analytics (Urban Studies & Social Policy)
email:
Varun.Raturi@glasgow.ac.uk
Urban Big Data Centre, 7 Lilybank Gardens,, Glasgow, G12 8RZ
https://orcid.org/0000-0001-8511-4370Research interests
Research groups
Publications
2025
Mcarthur, D. and Raturi, V. (2025) Some experiences of recruiting participants for an app-based travel survey. [Research Reports or Papers] (Unpublished)
2024
Raturi, V. , McArthur, D. P. and Hong, J. (2024) Re-examining the role of street network configuration on bicycle commuting using crowdsourced data. Journal of Transport Geography, 120, 103989. (doi: 10.1016/j.jtrangeo.2024.103989)
Awan, F. M. and Raturi, V. (2024) Unveiling the Potential Issues with Mobile Phone App Data Usage for Travel Mode Detection. Mobile Tartu 2024: International Conference and PhD School, Tartu, Estonia, 11-14 Jun 2024.
Raturi, V. and Awan, F. M. (2024) Estimating OD matrices using mobile app data: a novel approach to address longitudinal mobile data issues. Mobile Tartu 2024: International Conference & PhD School, Tartu, Estonia, 11-14 Jun 2024.
Awan, F. M. and Raturi, V. (2024) Travel Mode Detection: Harnessing the Power of Mobile Phone Apps Data through Machine Learning. 27th AGILE Conference (AGILE 2024), Glasgow, UK, 4-7 June 2024.
Raturi, V. and Awan, F. M. (2024) Deriving Mobility Insights from Mobile App Data: A Comparative Study on Distance Thresholds for Stay Detection. 27th AGILE Conference (AGILE 2024), Glasgow, UK, 4-7 June 2024.
2023
Raturi, V. (2023) Comparative Analysis of App-Based Travel Diary and Self-Reported Behaviour: A Case Study from Glasgow, UK. 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 12-15 Sept 2023.
Verduzco-Torres, J. R. and Raturi, V. (2023) Can Smartphone Location Data at the Point Level be Used to Estimate Traffic Volumes?: A Methodological Evaluation. 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 14-19 Sept 2023.
2021
Raturi, V. , Hong, J. , McArthur, D. and Livingston, M. (2021) The impact of privacy protection measures on the utility of crowdsourced cycling data. Journal of Transport Geography, 92, 103020. (doi: 10.1016/j.jtrangeo.2021.103020)
2020
Hong, J. , Mcarthur, D. P. and Raturi, V. (2020) Did safe cycling infrastructure still matter during a COVID-19 lockdown? Sustainability, 12, 8672. (doi: 10.3390/su12208672)
Raturi, V. and Verma, A. (2020) A game-theoretic approach to analyse inter-modal competition between high-speed rail and airlines in the Indian context. Transportation Planning and Technology, 43(1), pp. 20-47. (doi: 10.1080/03081060.2020.1701666)
2019
Raturi, V. and Verma, A. (2019) Competition between High Speed Rail and conventional transport modes: market entry game analysis on Indian corridors. Networks and Spatial Economics, 19(3), pp. 763-790. (doi: 10.1007/s11067-018-9421-2)
2018
Verma, A., Raturi, V. and Kanimozhee, S. (2018) Urban transit technology selection for many-to-many travel demand using social welfare optimization approach. Journal of Urban Planning and Development, 144(1), 04017021. (doi: 10.1061/(ASCE)UP.1943-5444.0000409)
2017
Raturi, V. and Verma, A. (2017) Analyzing competition between High Speed Rail and Bus mode using market entry game analysis. Transportation Research Procedia, 25, pp. 2373-2384. (doi: 10.1016/j.trpro.2017.05.264)
2016
Verma, A. and Raturi, V. (2016) Analyzing intercity modal choice and competition between High Speed Rail (HSR) and other transport modes in Indian context. In: Umesh Rai, B. (ed.) Handbook of Research on Emerging Innovations in Rail Transportation Engineering. IGI Global, pp. 146-160. ISBN 9781522500841 (doi: 10.4018/978-1-5225-0084-1.ch007)
2013
Raturi, V. , Srinivasan, K., Narulkar, G., Chandrashekharaiah, A. and Gupta, A. (2013) Analyzing inter-modal competition between High Speed Rail and conventional transport systems: a game theoretic approach. Procedia, Social and Behavioral Sciences, 104, pp. 904-913. (doi: 10.1016/j.sbspro.2013.11.185)
Articles
Raturi, V. , McArthur, D. P. and Hong, J. (2024) Re-examining the role of street network configuration on bicycle commuting using crowdsourced data. Journal of Transport Geography, 120, 103989. (doi: 10.1016/j.jtrangeo.2024.103989)
Raturi, V. , Hong, J. , McArthur, D. and Livingston, M. (2021) The impact of privacy protection measures on the utility of crowdsourced cycling data. Journal of Transport Geography, 92, 103020. (doi: 10.1016/j.jtrangeo.2021.103020)
Hong, J. , Mcarthur, D. P. and Raturi, V. (2020) Did safe cycling infrastructure still matter during a COVID-19 lockdown? Sustainability, 12, 8672. (doi: 10.3390/su12208672)
Raturi, V. and Verma, A. (2020) A game-theoretic approach to analyse inter-modal competition between high-speed rail and airlines in the Indian context. Transportation Planning and Technology, 43(1), pp. 20-47. (doi: 10.1080/03081060.2020.1701666)
Raturi, V. and Verma, A. (2019) Competition between High Speed Rail and conventional transport modes: market entry game analysis on Indian corridors. Networks and Spatial Economics, 19(3), pp. 763-790. (doi: 10.1007/s11067-018-9421-2)
Verma, A., Raturi, V. and Kanimozhee, S. (2018) Urban transit technology selection for many-to-many travel demand using social welfare optimization approach. Journal of Urban Planning and Development, 144(1), 04017021. (doi: 10.1061/(ASCE)UP.1943-5444.0000409)
Raturi, V. and Verma, A. (2017) Analyzing competition between High Speed Rail and Bus mode using market entry game analysis. Transportation Research Procedia, 25, pp. 2373-2384. (doi: 10.1016/j.trpro.2017.05.264)
Raturi, V. , Srinivasan, K., Narulkar, G., Chandrashekharaiah, A. and Gupta, A. (2013) Analyzing inter-modal competition between High Speed Rail and conventional transport systems: a game theoretic approach. Procedia, Social and Behavioral Sciences, 104, pp. 904-913. (doi: 10.1016/j.sbspro.2013.11.185)
Book Sections
Verma, A. and Raturi, V. (2016) Analyzing intercity modal choice and competition between High Speed Rail (HSR) and other transport modes in Indian context. In: Umesh Rai, B. (ed.) Handbook of Research on Emerging Innovations in Rail Transportation Engineering. IGI Global, pp. 146-160. ISBN 9781522500841 (doi: 10.4018/978-1-5225-0084-1.ch007)
Research Reports or Papers
Mcarthur, D. and Raturi, V. (2025) Some experiences of recruiting participants for an app-based travel survey. [Research Reports or Papers] (Unpublished)
Conference or Workshop Item
Awan, F. M. and Raturi, V. (2024) Unveiling the Potential Issues with Mobile Phone App Data Usage for Travel Mode Detection. Mobile Tartu 2024: International Conference and PhD School, Tartu, Estonia, 11-14 Jun 2024.
Raturi, V. and Awan, F. M. (2024) Estimating OD matrices using mobile app data: a novel approach to address longitudinal mobile data issues. Mobile Tartu 2024: International Conference & PhD School, Tartu, Estonia, 11-14 Jun 2024.
Awan, F. M. and Raturi, V. (2024) Travel Mode Detection: Harnessing the Power of Mobile Phone Apps Data through Machine Learning. 27th AGILE Conference (AGILE 2024), Glasgow, UK, 4-7 June 2024.
Raturi, V. and Awan, F. M. (2024) Deriving Mobility Insights from Mobile App Data: A Comparative Study on Distance Thresholds for Stay Detection. 27th AGILE Conference (AGILE 2024), Glasgow, UK, 4-7 June 2024.
Raturi, V. (2023) Comparative Analysis of App-Based Travel Diary and Self-Reported Behaviour: A Case Study from Glasgow, UK. 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 12-15 Sept 2023.
Verduzco-Torres, J. R. and Raturi, V. (2023) Can Smartphone Location Data at the Point Level be Used to Estimate Traffic Volumes?: A Methodological Evaluation. 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 14-19 Sept 2023.
Research datasets
2025
Strava, , McArthur, D. and Raturi, V. (2025) Strava Manchester. [Data Collection]