3 Disruptive Mobility in Pre- and Post-COVID Times …
89
of government sector and private sector. This is so because various research papers
have concluded that their travel behavior are significantly different and impact the
traffic in different ways.
Acknowledgements The authors present their deep gratitude to School of Planning and Architecture, Bhopal for providing an opportunity to work on this topic. They are thankful to ‘Uber
movement’ for sharing the city-wide mobility data through an open-source platform which will
play a crucial role in the planning of cities across the globe. The study could not have been possible
without the constant support of the authorities and staffers of Bangalore Metropolitan Transport
Corporation, Bangalore Metro Rail Corporation Limited, and Regional Transport Offices. Lastly,
they are extremely thankful to the citizens of Bengaluru who participated wholeheartedly in the
survey conducted and provided their valuable suggestions to make their city a smart and sustainable
one.
References
1. Adhyarvu B (2019) Mapping public transport accessibility levels (PTAL) in India and its
applications: a case study of Surat. Case Stud Transp Policy 293–300
2. BMRCL (2019) Bengaluru Metropolitan Rail Corporation Limited [Online]. https://english.
bmrc.co.in/
3. BMTC (2019) Bangalore Metropolitan Transport Corporation [Online]. https://mybmtc.karnat
aka.gov.in/english
4. Banerjee B, Chinmay C., Das D (2020) An approach towards GIS application in smart city urban
planning. Internet of things and secure smart environments successes and pitfalls (Chap. 2).
CRC, pp 71–110. ISBN 9780367266394
5. Barro J (2014) Under pressure from Uber, taxi medallion prices are plummeting
[Online]. https://www.nytimes.com/2014/11/28/upshot/under-pressure-from-uber-taxi-medall
ion-prices-are-plummeting.html
6. Benevolo C (2016) Smart mobility in smart city action taxonomy, ICT intensity and public
benefits. Information Systems and Organisation
7. Botsman R, Rogers R (2010) What’s mine is yours: the rise of collaborative consumption.
Harper Collins, New York
8. Census (2011) Primary census abstracts, s.l. Registrar General of India, Ministry of Home
Affairs, Government of India
9. Clark SD (2017) Estimating confidence intervals for transport mode share [Online]. https://
www.bts.gov/archive/publications/journal_of_transportation_and_statistics/volume_08_num
ber_02/paper_05/index
10. Dhar V, Pachisia HV, Tandel V, Shah K, Gupta G (2019) Assessing cities’ labour market
efficiencies using mumbai commuting data. IDFC Institute
11. Durgee J, O’Connor GC (1995) Renting as a consumption behaviour. Psychol Mark 89–104
12. Edmonds E (2017) AAA reveals true cost of vehicle ownership. [Online]. https://newsroom.
aaa.com/tag/cost-to-own-a-vehicle/
13. Ghosh M, Pandey A (2020) Covid-19 impact: Indian consumers may move away
from ride-hailing services. https://www.livemint.com/news/india/covid-19-impact-indian-con
sumers-maymove-away-from-ride-hailing-services-11585722438243.html. Accessed 21 Sept
2020
14. Google (2020) Covid-19 community mobility report
15. Guo J (2018) Analysis and comparison of Uber, taxi and Uber request via transit [Online].
https://www.jics.utk.edu/files/images/recsem-reu/2018/transit/Report-B.pdf
89
of government sector and private sector. This is so because various research papers
have concluded that their travel behavior are significantly different and impact the
traffic in different ways.
Acknowledgements The authors present their deep gratitude to School of Planning and Architecture, Bhopal for providing an opportunity to work on this topic. They are thankful to ‘Uber
movement’ for sharing the city-wide mobility data through an open-source platform which will
play a crucial role in the planning of cities across the globe. The study could not have been possible
without the constant support of the authorities and staffers of Bangalore Metropolitan Transport
Corporation, Bangalore Metro Rail Corporation Limited, and Regional Transport Offices. Lastly,
they are extremely thankful to the citizens of Bengaluru who participated wholeheartedly in the
survey conducted and provided their valuable suggestions to make their city a smart and sustainable
one.
References
1. Adhyarvu B (2019) Mapping public transport accessibility levels (PTAL) in India and its
applications: a case study of Surat. Case Stud Transp Policy 293–300
2. BMRCL (2019) Bengaluru Metropolitan Rail Corporation Limited [Online]. https://english.
bmrc.co.in/
3. BMTC (2019) Bangalore Metropolitan Transport Corporation [Online]. https://mybmtc.karnat
aka.gov.in/english
4. Banerjee B, Chinmay C., Das D (2020) An approach towards GIS application in smart city urban
planning. Internet of things and secure smart environments successes and pitfalls (Chap. 2).
CRC, pp 71–110. ISBN 9780367266394
5. Barro J (2014) Under pressure from Uber, taxi medallion prices are plummeting
[Online]. https://www.nytimes.com/2014/11/28/upshot/under-pressure-from-uber-taxi-medall
ion-prices-are-plummeting.html
6. Benevolo C (2016) Smart mobility in smart city action taxonomy, ICT intensity and public
benefits. Information Systems and Organisation
7. Botsman R, Rogers R (2010) What’s mine is yours: the rise of collaborative consumption.
Harper Collins, New York
8. Census (2011) Primary census abstracts, s.l. Registrar General of India, Ministry of Home
Affairs, Government of India
9. Clark SD (2017) Estimating confidence intervals for transport mode share [Online]. https://
www.bts.gov/archive/publications/journal_of_transportation_and_statistics/volume_08_num
ber_02/paper_05/index
10. Dhar V, Pachisia HV, Tandel V, Shah K, Gupta G (2019) Assessing cities’ labour market
efficiencies using mumbai commuting data. IDFC Institute
11. Durgee J, O’Connor GC (1995) Renting as a consumption behaviour. Psychol Mark 89–104
12. Edmonds E (2017) AAA reveals true cost of vehicle ownership. [Online]. https://newsroom.
aaa.com/tag/cost-to-own-a-vehicle/
13. Ghosh M, Pandey A (2020) Covid-19 impact: Indian consumers may move away
from ride-hailing services. https://www.livemint.com/news/india/covid-19-impact-indian-con
sumers-maymove-away-from-ride-hailing-services-11585722438243.html. Accessed 21 Sept
2020
14. Google (2020) Covid-19 community mobility report
15. Guo J (2018) Analysis and comparison of Uber, taxi and Uber request via transit [Online].
https://www.jics.utk.edu/files/images/recsem-reu/2018/transit/Report-B.pdf