Dr Varun Raturi
- Research Associate in Transport Analytics (Urban Studies)
email:
Varun.Raturi@glasgow.ac.uk
Urban Big Data Centre, 7 Lilybank Gardens,, Glasgow, G12 8RZ
Publications
2024
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. , 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)
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.