Dr Varun Raturi
- Affiliate (School of Social & Political Sciences)
                        email: 
                        Varun.Raturi@glasgow.ac.uk
                    
Urban Big Data Centre, 7 Lilybank Gardens,, Glasgow
Research interests
Research groups
Publications
2025
    
    Mcarthur, David ORCID: https://orcid.org/0000-0002-9142-3126 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(2025)
  
Some experiences of recruiting participants for an app-based travel survey.
    
    Working Paper.
    University of Glasgow, Glasgow.
    
  
   (Unpublished)
2024
    
    Raturi, Varun ORCID: https://orcid.org/0000-0001-8511-4370, McArthur, David Philip 
ORCID: https://orcid.org/0000-0002-9142-3126 and Hong, Jinhyun 
ORCID: https://orcid.org/0000-0003-2322-2637
  
(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, Faraz Malik ORCID: https://orcid.org/0000-0001-9674-0625 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Awan, Faraz Malik 
ORCID: https://orcid.org/0000-0001-9674-0625
  
(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, Faraz Malik ORCID: https://orcid.org/0000-0001-9674-0625 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Awan, Faraz Malik 
ORCID: https://orcid.org/0000-0001-9674-0625
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Jose Rafael ORCID: https://orcid.org/0000-0002-1324-1714 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370, Hong, Jinhyun 
ORCID: https://orcid.org/0000-0003-2322-2637, McArthur, David 
ORCID: https://orcid.org/0000-0002-9142-3126 and Livingston, Mark 
ORCID: https://orcid.org/0000-0002-8543-4670
  
(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, Jinhyun ORCID: https://orcid.org/0000-0003-2322-2637, Mcarthur, David Philip 
ORCID: https://orcid.org/0000-0002-9142-3126 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(2020)
  
Did safe cycling infrastructure still matter during a COVID-19 lockdown?
    
    Sustainability, 12,
	 
      8672.
    
    (doi: 10.3390/su12208672)
     
     
  
  
    
    Raturi, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Verma, Ashish
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Verma, Ashish
  
(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, Ashish, Raturi, Varun ORCID: https://orcid.org/0000-0001-8511-4370 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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Verma, Ashish
  
(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, Ashish and Raturi, Varun ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370, Srinivasan, Karthik, Narulkar, Gunjan, Chandrashekharaiah, Ashwini and Gupta, Ankur
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370, McArthur, David Philip 
ORCID: https://orcid.org/0000-0002-9142-3126 and Hong, Jinhyun 
ORCID: https://orcid.org/0000-0003-2322-2637
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370, Hong, Jinhyun 
ORCID: https://orcid.org/0000-0003-2322-2637, McArthur, David 
ORCID: https://orcid.org/0000-0002-9142-3126 and Livingston, Mark 
ORCID: https://orcid.org/0000-0002-8543-4670
  
(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, Jinhyun ORCID: https://orcid.org/0000-0003-2322-2637, Mcarthur, David Philip 
ORCID: https://orcid.org/0000-0002-9142-3126 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(2020)
  
Did safe cycling infrastructure still matter during a COVID-19 lockdown?
    
    Sustainability, 12,
	 
      8672.
    
    (doi: 10.3390/su12208672)
     
     
  
  
    
    Raturi, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Verma, Ashish
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Verma, Ashish
  
(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, Ashish, Raturi, Varun ORCID: https://orcid.org/0000-0001-8511-4370 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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Verma, Ashish
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370, Srinivasan, Karthik, Narulkar, Gunjan, Chandrashekharaiah, Ashwini and Gupta, Ankur
  
(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, Ashish and Raturi, Varun ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, David ORCID: https://orcid.org/0000-0002-9142-3126 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(2025)
  
Some experiences of recruiting participants for an app-based travel survey.
    
    Working Paper.
    University of Glasgow, Glasgow.
    
  
   (Unpublished)
Conference or Workshop Item
    
    Awan, Faraz Malik ORCID: https://orcid.org/0000-0001-9674-0625 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Awan, Faraz Malik 
ORCID: https://orcid.org/0000-0001-9674-0625
  
(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, Faraz Malik ORCID: https://orcid.org/0000-0001-9674-0625 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370 and Awan, Faraz Malik 
ORCID: https://orcid.org/0000-0001-9674-0625
  
(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, Varun ORCID: https://orcid.org/0000-0001-8511-4370
  
(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, Jose Rafael ORCID: https://orcid.org/0000-0002-1324-1714 and Raturi, Varun 
ORCID: https://orcid.org/0000-0001-8511-4370
  
(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 Scotland. [Data Collection]
Strava, , McArthur, D. and Raturi, V. (2025) Strava Sheffield. [Data Collection]
Strava, , McArthur, D. and Raturi, V. (2025) Strava Tyne and Wear. [Data Collection]
Strava, , McArthur, D. and Raturi, V. (2025) Strava Glasgow. [Data Collection]
Strava, , McArthur, D. and Raturi, V. (2025) Strava Manchester. [Data Collection]