365
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Exploring Information communication Technology-enabled travel Pattern in a city region of India

, &
Pages 323-341 | Received 30 Dec 2022, Accepted 03 Nov 2023, Published online: 22 Nov 2023

References

  • Adler J, Blue V. 1998. Toward the design of intelligent traveller information system. Transp ResPart C. 6(3):157–172. doi: 10.1016/S0968-090X(98)00012-6.
  • Aguilera A. 2008. Business travel and mobile workers. Transp Res Part a. Pol And Prac. 42(8):1109–1116. doi: 10.1016/j.tra.2008.03.005.
  • Aguiléra A, Guillot C, Rallet A. 2012. Mobile ICTs and physical mobility: review and research agenda. Transp Res Part a. Pol And Prac. 46(4):664–672. doi: 10.1016/j.tra.2012.01.005.
  • Ajzen I. 1991. The Theory of planned behavior. Organiz Behav And Hum Decis Proc. 50(2):179–211. doi: 10.1016/0749-5978(91)90020-T.
  • Ambali A, Bakar A. 2015. The Theory of planned behaviour and its relation to ICT adoption. IGI Global. doi: 10.4018/978-1-4666-6579-8.ch007.
  • Bhat CR, Sardesai R. 2006. The impact of stop-making and travel time reliability on commute mode choice. Transp Res Part B: Methodo. 40(9):709–730. doi: 10.1016/j.trb.2005.09.008.
  • Cain MK, Zhang Z, Yuan KH. 2017. Univariate and multivariate skewness and kurtosis for measuring nonnormality: prevalence, influence and estimation. Behav Res. 49(5):1716–1735. doi: 10.3758/s13428-016-0814-1.
  • Carrasco J, Miller EJ. 2006. Exploring the propensity to perform social activities: a social networks approach. Trans. 33(5):463–480. doi: 10.1007/s11116-006-8074-z.
  • Chen C, Ting C. 2007. Combining Lagrangian heuristic and ant colony system to solve the single source capacitate facility location problem. Transp Res Part E. 44(6):1099–1122. doi: 10.1016/j.tre.2007.09.001.
  • Chen T, Chang H, Tzeng G. 2001. Using a weight assessing model to identify route choice criteria and information effects. Transp Res Part A. 35(3):197–224. doi: 10.1016/S0965-8564(99)00055-5.
  • Choo S, Lee T, Mokhtarian PL. 2007. Do transportation and communications tend to be substitutes, complements, or neither? Transp Res Rec: J Of The Transp Boa. 2010(1):121–132. doi: 10.3141/2010-14.
  • Chorus CG, Molin EJE, van Wee GP. 2006. Travel information as an instrument to change car-drivers travel choices: a literature review. Euro J Of Transp And Infra Res. 6(4):335–364.
  • Chorus CG, Arentze TA, Timmermans HJP. 2007. Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses. Transp. 34(6):625–645. doi: 10.1007/s11116-007-9120-1.
  • Cohen-Blankshtain G, Rotem-Mindali O. 2016. Key research themes on ICT and sustainable urban mobility. Int J Of Sust Transp. 10(1):9–17. doi: 10.1080/15568318.2013.820994.
  • Commission of the European Communities. 2001. European transport policy for 2020: time to decide. Luxembourg: Commission of the European Communities.
  • Das D. 2014. Evaluation of control parameters for smart mobility in the context of a South African city-A case of Bloemfontein city. Proc Of Plan Africa Conf. 138–151.
  • Das D, Emuze F. 2014. Smart city perspectives of Bloemfontein, South Africa. Jof Const Proj Manag And Innov. 4(2):930–950.
  • Das D. 2016. Engendering image of creative cities by use of information and communication Technology in developing countries. Urb Plann. 1(3):1–12. doi: 10.17645/up.v1i3.686.
  • De Graaff T, Rietveld P. 2007. Substitution between working at home and out-of-home: the role of ICT and commuting cost. Transp Rese Part A. 41(2):142–160. doi: 10.1016/j.tra.2006.02.005.
  • Delbosc A, Currie G. 2014. Changing demographics and young adult driver license decline in Melbourne, Australia (1994–2009). Transp. 41(3):529–542. doi: 10.1007/s11116-013-9496-z.
  • Delbosc A, Mokhtarian P. 2018. Face to Facebook: the relationship between social media and social travel. Transp Pol. 68:20–27. doi: 10.1016/j.tranpol.2018.04.005.
  • Department for Transport. 2004. The future of transport: a network for 2030. London: Department for Transport.
  • Emuze F, Das D. 2015. Regenerative ideas for urban roads in South Africa. Proc Of The Instof Civ Engin: Mun Engin168. 168(4):209–219. doi: 10.1680/muen.14.00041.
  • Farag S, Lyons G. 2010. Explaining public transport information use when a car is available: attitude theory empirically investigated. Transp. 37(6):897–913. doi: 10.1007/s11116-010-9265-1.
  • Farag S, Schwanen T, Dijst M, Faber J. 2007. Shopping online and/or in-store? a structural equation model of the relationships between e-shopping and in-store shopping. Transp Rese Part A Pol And Prac. 41(2):125–141. doi: 10.1016/j.tra.2006.02.003.
  • Federal Transit Administration. 2003. Customer preferences for transit ATIS. Research report nr. FTA-OH-26-7015-2003.1. Washington, DC: Federal Transit Administration.
  • Gadgets 360. n.d. India’s fastest broadband internet service providers. [Accessed on 15 September 2017’ http://gadgets.ndtv.com/internet/features/indias-fastest-broadband-internet-service-providers-810697.
  • Germann Molz J. 2012. Travel connections: tourism, technology and togetherness in a mobile world. Florence, KY, USA: Routledge.
  • Giffinger R, Fertne C, Kramar H, Kalasek R, Pichler-Milanović N, Meijers E. 2007. Smart cities –ranking of European Medium-Sized cities. Centre of regional science. Vienna University of Technology, Vienna, Austria, Final Project Report, pp. 1–25.
  • Global Sustainable Systems Research Report. 2004. Pune vehicle activity study, University of California at Riverside, pp. 1–3.
  • Goldman T, Gorham R. 2006. Sustainable urban transport: four innovative directions. Tech In Soc. 28(1–2):261–273. doi: 10.1016/j.techsoc.2005.10.007.
  • G¨ossling S. 2018. ICT and transport behaviour: a conceptual review. Int J Of Sust Transp. 12(3):153–164. doi: 10.1080/15568318.2017.1338318.
  • Hameri A, Paatela A. 2005. Supply network dynamics as a source of new business. Int J Of Prod Eco. 98(1):41–55. doi: 10.1016/j.ijpe.2004.09.006.
  • Hindustan Times. 2016. Delhi’s odd-even plan: all you need to know about the formula. https://www.hindustantimes.com/delhi/delhi-s-odd-even-plan-genius-or-a-recipe-for-nightmare/story-0rFNFUTEHncNHpWZh2jtTI.html
  • Hong J, Thakuriah P. 2016. Relationship between motorized travel and time spent online for nonwork purposes: an examination of location impact. Int J Of Sust Transp. 10(7):617–626. http://www.yourarticlelibrary.com/essay/family-types-on-the-basis-of-size-of-household-in-india/41330/.
  • Hu X, Zhu X, Chiu Y, Tang Q. 2020. Will information and incentive affect traveller’s day-to-day departure time decisions?—an empirical study of the decision-making evolution process. Int J Of Sust Transp. 14(6):403–412. doi: 10.1080/15568318.2019.1570402.
  • Kan MPH, Fabrigar LR. 2017. Theory of planned behavior. In: Zeigler-Hill V Shackelford T, editors. Encyclopedia of personality and individual differences. Cham: Springer. doi:10.1007/978-3-319-28099-8_1191-1.
  • Kanninen B. 1996. Intelligent transportation systems: an economic and environmental policy assessment. Transp Res Part A. Pol And Prac. 30(1):1–10. doi: 10.1016/0965-8564(95)00014-3.
  • Kroesen M, Handy SL. 2015. Is the rise of the e-society responsible for the decline in car use by young adults? Results from the Netherlands. Transp Res Rec: J Of The Transp Boa. 2496(1):28–35. doi: 10.3141/2496-04.
  • Lachapelle U, Jean-Germain F. 2019. Personal use of the internet and travel: evidence from the Canadian general social survey’s 2010 time use module. Trav Behav And Soc. 14:81–91. doi: 10.1016/j.tbs.2018.10.002.
  • Larsen J, Urry J, Axhausen K. 2007. Networks and tourism. Mobile and social life. Ann Of Tour Res. 34(1):244–262. doi: 10.1016/j.annals.2006.08.002.
  • Lee I, Cho SH, Kim K, Kho SY, Kim DK, Meloni S. 2022. Travel pattern-based bus trip origin-destination estimation using smart card data. PloS One. 17(6):e0270346. doi: 10.1371/journal.pone.0270346.
  • Lenz B, Nobis C. 2007. The changing allocation of activities in space and time by the use of ICT– ‘fragmentation’ as a new concept and empirical results. Transp Res Part A Pol And Prac. 41(2):190–204. doi: 10.1016/j.tra.2006.03.004.
  • Lombardi P. 2011. Managing the green IT agenda. Intel Build Int. 3(1):41–45. doi: 10.3763/inbi.2010.0008.
  • Martínez-Torres MR, Díaz-Fernández MC, Tora SL, Barrero FJ. 2013. Identification of new added value services on intelligent transportation systems. Behav & Inform Techn. 32(3):307–320. doi: 10.1080/0144929X.2010.529942.
  • Mwale M, Luke R, Pisa N. 2022. Factors that affect travel behaviour in developing cities: a methodological review. Transp Res Interdis Persp. 16:100683. doi: 10.1016/j.trip.2022.100683.
  • Mokhtarian P. 2009. If telecommunication is such a good substitute for travel, why does congestion continue to get worse? Transp Let. 1(1):1–17. doi: 10.3328/TL.2009.01.01.1-17.
  • Mokhtarian PL, Salomon I. 2002. Emerging travel patterns: do telecommunications make a difference?, in “perpetual motion: travel behavior Research opportunities and application challenges”. In: H. S. Mahamassani, editor. Amsterdam: Pergamon, Elsevier; p. 592.
  • Ng L, Barfield W, Mannering F. 1995. A survey-based methodology to determine information requirements for advanced traveller information systems. Transp Res Part C. 3(2):113–127. doi: 10.1016/0968-090X(95)00001-Y.
  • Pai M, Gadgil R, Mahendra A, Vernekar S, Rebecca H, Chanchani R 2014. Motorized two Wheelers in Indian cities, a case study of the city of Pune. Working Paper. EMBARQ, India Mumbai, Available online at: http://www.embarqindia.org.
  • Pawlak J, Circella G, Mahmassani HS, Mokhtarian PL. 2020. Information and communication Technologies (ICT), activity decisions, and travel choices: 20 years into the Second Millennium and where do we go next? Standing Committee on effects of information and communication Technologies (ICT) on travel choices (ADB20). Washington, D.C: Transportation Research Board.
  • PMC. 2006. Pune city Development plan 2006-2012 under JnNURM, Pune: Pune Municipal Corporation.
  • Rangarajan A 2010. BRTS- Bus Rapid Transit system in Pune: modelling, simulation and feasibility analysis. In Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management, 9 – 10 January 2010. Dhaka, Bangladesh.
  • Salomon I. 2000. Can telecommunications help solve transportation problems?, in Handbook of transport modelling. Hensher, D A, Button, K, editors. Amsterdam: Pergamon, Elsevier; p. 790.
  • Shaw KL. 2016. Patient education, motivation, compliance, and adherence to physical activity, exercise, and rehabilitation. In: Magee JD, Zachazewski JE, Quillen WS, Manske RC, editors. Pathology and intervention in musculoskeletal rehabilitation, Philadelphia: W.B. Saunders; pp. 1–24.
  • Shoabjareh AH, Mamdoohi AR, Nordfjærn T. 2021. Analysis of pedestrians’ behaviour: a segmentation approach based on latent variables. Accident Anal Prev. 157:106160. doi: 10.1016/j.aap.2021.106160.
  • Sijtsma K. 2009. On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychomet. 74(1):107–120. doi: 10.1007/s11336-008-9101-0.
  • Silva JDA, de One J, Gasparovic S. 2017. The relation between travel behaviour, ICT usage and social networks, the design of a web-based survey. Transp Res Proc. 24:515–522. doi: 10.1016/j.trpro.2017.05.482.
  • Singh R, Graham D, Anderson R. 2020. Quantifying the effects of passenger-level heterogeneity on transit journey times. Data-Centric Eng. 1:E15. doi: 10.1017/dce.2020.15.
  • Thynell M, Mohan D, Tiwari G. 2010. Sustainable transport and the modernisation of urban transport in Delhi and Stockholm. Cities. 27(6):421–429. doi: 10.1016/j.cities.2010.04.002.
  • Tiwari R, Cervero R, Schipper L. 2011. Driving CO2 reduction by integrating transport and urban design strategies. Cities. 28(5):394–405. doi: 10.1016/j.cities.2011.05.005.
  • Tseng YY, Knockaert J, Verhoef ET. 2013. A revealed preference study of behavioural impacts of real-time traffic information. Transp Res Part C: Emer Techn. 30:196–209. doi: 10.1016/j.trc.2011.11.006.
  • van den Berg P, Arentze T, Timmermans H. 2013. A path analysis of social networks, telecommunication and social activity-travel patterns. Transp Res Part C: Emer Techn. 26:256–268. doi: 10.1016/j.trc.2012.10.002.
  • van Wee B, Geurs K, Chorus C. 2013. Information, communication, travel behaviour and accessibility. J Of Transp And Lan Use. 6(3):1–16. doi: 10.5198/jtlu.v6i3.282.
  • Weiyu Z, Arul C. 2014. Internet studies and development discourses: the cases of China and India. Infor Techn For Dev. 20(4):324–338. doi: 10.1080/02681102.2013.796546.
  • Wellman B, Hoga B, Berg K, Boase J, Carrasco JA, Côté R, Kayahara J, Kennedy YLM, Tran P. 2006. Connected lives: the project. In: Purcell P, editor. Networked neighbourhoods. London: Springer; pp. 161–216.
  • Williams RA, Quiroz C. 2020. Ordinal Regression Models. In: Atkinson P, Delamont S, Cernat A, Sakshaug JW Williams RA, editors. Advances in methods and practices in psychological science. SAGE Research Methods Foundations. doi: 10.4135/9781526421036885901.
  • www.quora.com. 2016. How successful was the Delhi’s odd-even plan?
  • Yang H, Meng Q. 2001. Modeling user adoption of advanced traveler information systems: dynamic evolution and stationary equilibrium. Transp Res Part A Policy Pract. 35(10):895–912. doi: 10.1016/S0965-8564(00)00030-6.
  • Yin C, Wang X, Shao C, Le Pira M. 2021. Do the effects of ICT use on trip generation vary across travel modes? Evidence from Beijing. J Of Adv Transp. 2021:1–11. doi: 10.1155/2021/6699674.
  • Yigitcanlar T, O’Connor K, Westerman C. 2008. The making of knowledge cities: Melbourne’s knowledge-based urban development experience. Cities. 25(2):63–72. doi: 10.1016/j.cities.2008.01.001.