Travel-based multitasking: review of the empirical evidence

References

• Axtell, C., Hislop, D., & Whittaker, S. (2008). Mobile technologies in mobile spaces: Findings from the context of train travel. International Journal of Human-Computer Studies, 66(12), 902–915. doi: 10.1016/j.ijhcs.2008.07.001
   Web of Science ®Google Scholar
• Basmajian, C. (2010). “Turn on the radio, bust out a song”: The experience of driving to work. Transportation, 37(1), 59–84. doi: 10.1007/s11116-009-9220-1
   Web of Science ®Google Scholar
• Berliner, R. M., Malokin, A., Circella, G., & Mokhtarian, P. L. (2015). Travel-based multitasking: Modeling the propensity to conduct activities while commuting. Presented at the Transportation Research Board 94th Annual Meeting. Retrieved from http://trid.trb.org/view.aspx?id=1338990
   Google Scholar
• Berry, M., & Hamilton, M. (2010). Changing urban spaces: Mobile phones on trains. Mobilities, 5(1), 111–129. doi: 10.1080/17450100903435078
   Web of Science ®Google Scholar
• Böhmer, M., Hecht, B., Schöning, J., Krüger, A., & Bauer, G. (2011). Falling asleep with angry birds, Facebook and kindle: A large scale study on mobile application usage. Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (pp. 47–56). New York, NY: ACM. doi: 10.1145/2037373.2037383
   Google Scholar
• Bjørner, T. (2016). Time use on trains: Media use/non-use and complex shifts in activities. Mobilities, 11(5), 681–702. doi: 10.1080/17450101.2015.1076619
   Web of Science ®Google Scholar
• Brown, B., McGregor, M., & Laurier, E. (2013). Iphone in vivo: Video analysis of mobile device use. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1031–1040). New York, NY: ACM. doi: 10.1145/2470654.2466132
   Google Scholar
• Brown, B., & O’Hara, K. (2003). Place as a practical concern of mobile workers. Environment and Planning A, 35(9), 1565–1587. doi: 10.1068/a34231
   Web of Science ®Google Scholar
• Circella, G., Mokhtarian, P. L., & Poff, L. K. (2012). A conceptual typology of multitasking behavior and polychronicity preferences. Electronic International Journal of Time Use Research, 9(1), 59–107. doi: 10.13085/eIJTUR.9.1.59-107
   Google Scholar
• Clayton, W., Jain, J., & Parkhurst, G. (2016). An ideal journey: Making bus travel desirable. Mobilities, 18, 1–20. doi: 10.1080/17450101.2016.1156424
   Web of Science ®Google Scholar
• Clayton, W. (2012, November 8). Bus Tales: Travel-time use, technologies, and journey experiences on the bus (PhD thesis). University of the West of England. Retrieved from http://eprints.uwe.ac.uk/17967/
   Google Scholar
• Connolly, D., Caulfield, B., & O’Mahony, M. (2009). Rail passengers’ preferences for onboard Wi-Fi internet access. Presented at the 88th Annual Meeting of the Transportation Research Board, Washington, DC. Retrieved from http://www.tara.tcd.ie/handle/2262/27259
   Google Scholar
• Cyganski, R., Fraedrich, E., & Lenz, B. (2015). Travel-time valuation for automated driving: A use-case-driven study. Proceedings of the 94th Annual Meeting of the TRB. Washington, DC. Retrieved from http://elib.dlr.de/95260/
   Google Scholar
• Department for Transport. (2009). Department for Transport statistics – public attitudes statistics, ATT0422. Office for National Statistics. Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/9667/att0422.xls
   Google Scholar
• Department for Transport. (2012). Public attitudes towards train services: Results from the April 2012 Opinions Survey (p. 51). London: Department for Transport. Retrieved from https://www.gov.uk/government/statistics/public-attitudes-towards-train-services
   Google Scholar
• Drago, R. W., & Stewart, J. C. (2010). Time-use surveys: Issues in data collection on multitasking. Monthly Labor Review, 133(8), 17–31.
   Web of Science ®Google Scholar
• Ettema, D., Friman, M., Gärling, T., Olsson, L. E., & Fujii, S. (2012). How in-vehicle activities affect work commuters’ satisfaction with public transport. Transport Policy, 24, 215–222. doi:10.1016/j.jtrangeo.2012.02.007
   Google Scholar
• Ettema, D., & Verschuren, L. (2007). Multitasking and value of travel time savings. Transportation Research Record: Journal of the Transportation Research Board, 2010, 19–25. doi: 10.3141/2010-03
   Web of Science ®Google Scholar
• EUROSTAT. (2009). Harmonised European time use surveys. Retrieved from http://ec.europa.eu/eurostat/en/web/products-manuals-and-guidelines/-/KS-RA-08-014
   Google Scholar
• Fickling, R., Gunn, H., Kirby, H., Bradley, M., & Heywood, C. (2008). The productive use of rail travel time and value of travel time saving for travellers in the course of work. Proceedings of the European Transport Conference 2008. Retrieved from http://abstracts.aetransport.org/paper/download/id/2905.
   Google Scholar
• Fickling, R., Gunn, H., Kirby, H., Bradley, M., & Heywood, C. (2009). Productive use of rail travel time and the valuation of travel time savings for rail business travellers (Final Report). London: Department for Transport. Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/4003/productive-use-of-travel-time.pdf
   Google Scholar
• Frei, C., Mahmassani, H. S., & Frei, A. (2015). Making time count: Traveler activity engagement on urban transit. Transportation Research Part A: Policy and Practice, 76, 58–70. doi:10.1016/j.tra.2014.12.007 doi: 10.1016/j.tre.2015.02.001
   Web of Science ®Google Scholar
• Gamberini, L., Spagnolli, A., Miotto, A., Ferrari, E., Corradi, N., & Furlan, S. (2013). Passengers’ activities during short trips on the London Underground. Transportation, 40(2), 251–268. doi: 10.1007/s11116-012-9419-4
   Web of Science ®Google Scholar
• Gripsrud, M., & Hjorthol, R. (2012). Working on the train: From ‘dead time’ to productive and vital time. Transportation, 39(5), 941–956. doi: 10.1007/s11116-012-9396-7
   Web of Science ®Google Scholar
• Groenesteijn, L., Hiemstra-van Mastrigt, S., Gallais, C., Blok, M., Kuijt-Evers, L., & Vink, P. (2014). Activities, postures and comfort perception of train passengers as input for train seat design. Ergonomics, 57(8), 1154–1165. doi: 10.1080/00140139.2014.914577
   PubMed Web of Science ®Google Scholar
• Guo, Z., Derian, A., & Zhao, J. (2015). Smart devices and travel time use by bus passengers in Vancouver, Canada. International Journal of Sustainable Transportation, 9(5), 335–347. doi: 10.1080/15568318.2013.784933
   Web of Science ®Google Scholar
• Gustafson, P. (2012). Travel time and working time: What business travellers do when they travel, and why. Time & Society, 21(2), 203–222. doi:10.1177/0961463X12444057
   Web of Science ®Google Scholar
• Gustafson, P. (2014). Business Travel from the traveller’s perspective: Stress, stimulation and normalization. Mobilities, 9(1), 63–83. doi:10.1080/17450101.2013.784539
   Web of Science ®Google Scholar
• Hislop, D., & Axtell, C. (2009). To infinity and beyond? Workspace and the multi-location worker. New Technology, Work and Employment, 24(1), 60–75. doi: 10.1111/j.1468-005X.2008.00218.x
   Web of Science ®Google Scholar
• Hislop, D. (2012). Hanging on the telephone: Mobile phone use patterns among UK-based business travellers on work-related journeys. Transportation Research Part F: Traffic Psychology and Behaviour, 15(2), 101–110. doi: 10.1016/j.trf.2011.11.009
   Web of Science ®Google Scholar
• Hislop, D. (2013). Driving, communicating and working: Understanding the work-related communication behaviours of business travellers on work-related car journeys. Mobilities, 8(2), 220–237. doi:10.1080/17450101.2012.655972.
   Web of Science ®Google Scholar
• Holley, D., Jain, J., & Lyons, G. (2008). Understanding business travel time and its place in the working day. Time & Society, 17(1), 27–46. doi: 10.1177/0961463X07086308
   Web of Science ®Google Scholar
• Jain, J., & Lyons, G. (2008). The gift of travel time. Journal of Transport Geography, 16(2), 81–89. doi: 10.1016/j.jtrangeo.2007.05.001
   Web of Science ®Google Scholar
• Jalali, S., & Wohlin, C. (2012). Systematic literature studies: Database searches vs. backward snowballing. Proceedings of the ACM-IEEE international symposium on empirical software engineering and measurement (pp. 29–38). New York, NY: ACM. doi: 10.1145/2372251.2372257
   Google Scholar
• Kamp, I., Kilincsoy, Ü, & Vink, P. (2011). Chosen postures during specific sitting activities. Ergonomics, 54(11), 1029–1042. doi: 10.1080/00140139.2011.618230
   PubMed Web of Science ®Google Scholar
• Kenyon, S., & Lyons, G. (2007). Introducing multitasking to the study of travel and ICT: Examining its extent and assessing its potential importance. Transportation Research Part A: Policy and Practice, 41(2), 161–175. doi: 10.1016/j.tra.2006.02.004
   Web of Science ®Google Scholar
• Kenyon, S. (2010). What do we mean by multitasking? – Exploring the need for methodological clarification in time use research. Electronic International Journal of Time Use Research, 7(1), 42–60. doi: 10.13085/eIJTUR.7.1.42-60
   Google Scholar
• Keseru, I., Bulckaen, J., Macharis, C., Minnen, J., Glorieux, I., & Van Tienhoven, T. P. (2015). Is travel time wasted? Evidence from a time use survey in Flanders, Belgium. Presented at the 14th International conference on travel behaviour research, Windsor: IATBR. doi: 10.13140/RG.2.1.1267.6320
   Google Scholar
• Khan, M. S., & Sundstrom, J. (2007). Effects of vibration on sedentary activities in passenger trains. Journal of Low Frequency Noise, Vibration and Active Control, 26(1), 43–55. doi:10.1260/026309207781487448
   Web of Science ®Google Scholar
• Laurier, E. (2002). The region as a socio-technical accomplishment of mobile workers. In B. Brown, N. Green, & R. Harper (Eds.), Wireless world (pp. 46–61). London: Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-1-4471-0665-4_4
   Google Scholar
• Laurier, E. (2004). Doing office work on the motorway. Theory, Culture & Society, 21(4–5), 261–277. doi: 10.1177/0263276404046070
   Web of Science ®Google Scholar
• Line, T., Jain, J., & Lyons, G. (2011). The role of ICTs in everyday mobile lives. Journal of Transport Geography, 19(6), 1490–1499. doi: 10.1016/j.jtrangeo.2010.07.002
   Web of Science ®Google Scholar
• Lyons, G., Holley, D., & Jain, J. (2008). The business of train travel. A matter of time use. In D. Hislop (Ed.), Mobility and technology in the workplace (pp. 74–86). Abingdon: Routledge.
   Google Scholar
• Lyons, G., Jain, J., & Holley, D. (2007). The use of travel time by rail passengers in Great Britain. Transportation Research Part A: Policy and Practice, 41(1), 107–120. doi: 10.1016/j.tra.2006.05.012
   Web of Science ®Google Scholar
• Lyons, G., Jain, J., Susilo, Y., & Atkins, S. (2013). Comparing rail passengers’ travel time use in Great Britain between 2004 and 2010. Mobilities, 8(4), 560–579. doi: 10.1080/17450101.2012.743221
   Web of Science ®Google Scholar
• Lyons, G., Jain, J., & Weir, I. (2016). Changing times – A decade of empirical insight into the experience of rail passengers in Great Britain. Journal of Transport Geography, 57, 94–104. doi: 10.1016/j.jtrangeo.2016.10.003
   Web of Science ®Google Scholar
• Lyons, G., & Urry, J. (2005). Travel time use in the information age. Transportation Research Part A: Policy and Practice, 39(2–3), 257–276. doi: 10.1016/j.tra.2004.09.004
   Web of Science ®Google Scholar
• Malokin, A., Circella, G., & Mokhtarian, P. L. (2015). How do activities conducted while commuting influence mode choice? Testing public transportation advantage and autonomous vehicle scenarios. Presented at the Transportation Research Board 94th Annual Meeting, Washington D.C. Retrieved from http://trid.trb.org/view.aspx?.
   Google Scholar
• Mokhtarian, P. L., Papon, F., Goulard, M., & Diana, M. (2014). What makes travel pleasant and/or tiring? An investigation based on the French National Travel Survey. Transportation, 42, 1103–1128. doi: 10.1007/s11116-014-9557-y
   Web of Science ®Google Scholar
• Mokhtarian, P. L., & Salomon, I. (2001). How derived is the demand for travel? Some conceptual and measurement considerations. Transportation Research Part A: Policy and Practice, 35(8), 695–719. doi: 10.1016/S0965-8564(00)00013-6
   Web of Science ®Google Scholar
• Neufeld, A. J., & Mokhtarian, P. L. (2012). A survey of multitasking by Northern California commuters: Description of the data collection process. Retrieved from http://pubs.its.ucdavis.edu/download_pdf.php?id=1802.
   Google Scholar
• Ohmori, N., & Harata, N. (2008). How different are activities while commuting by train? A case in Tokyo. Tijdschrift Voor Economische En Sociale Geografie, 99(5), 547–561. doi: 10.1111/j.1467-9663.2008.00491.x
   Web of Science ®Google Scholar
• Patriarche, G., & Huynen, P. (2014). Gebruik van de Verplatsingstijd door de Brusselaars: Analyse van de Mobiele Activiteiten op Weg naar de Werk- of Schoollocatie. In C. Macharis, F. Dobruszkes, & M. Hubert (Eds.), Mobiliteit en logistiek in Brussel (pp. 83–114). Brussel: VUBpress.
   Google Scholar
• Pawlak, J., Circella, G., Polak, J., Mokhtarian, P., & Sivakumar, A. (2016). Is there anything exceptional about ICT use while travelling? A time allocation framework for and empirical insights into multitasking patterns and well-being implications from the Canadian General Social Survey. Presented at the Transportation Research Board 95th Annual Meeting Transportation Research Board. Retrieved from https://trid.trb.org/view.aspx?id=1394086
   Google Scholar
• Rasouli, S., & Timmermans, H. (2014). Judgments of travel experiences, activity envelopes, trip features and multi-tasking: A panel effects regression model specification. Transportation Research Part A: Policy and Practice, 63, 67–75. doi: 10.1016/j.tra.2014.02.012
   Web of Science ®Google Scholar
• Rhee, K.-A., Kim, J.-K., Lee, B.-J., Kim, S., & Lee, Y.-I. (2013). Analysis of effects of activities while traveling on travelers’ sentiment. Transportation Research Record: Journal of the Transportation Research Board, 2383, 27–34. doi: 10.3141/2383-04
   Web of Science ®Google Scholar
• Russell, M. L. (2011). Watching passengers: Using structured observation methods on public transport. Presented at the 43rd Universities Transport Study Group Conference, Milton Keynes, UK. Retrieved from http://eprints.uwe.ac.uk/16912/
   Google Scholar
• Russell, M. L. (2012). Travel time use on public transport: What passengers do and how it affects their wellbeing (Thesis). University of Otago. Retrieved from https://ourarchive.otago.ac.nz/handle/10523/2367
   Google Scholar
• Russell, M. L., Price, R., Signal, L., Stanley, J., Gerring, Z., & Cumming, V. (2011). What do passengers do during travel time? Structured observations on buses and trains. Journal of Public Transportation, 14(3), 123–146. Retrieved from http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1133&context=jpt doi: 10.5038/2375-0901.14.3.7
   Web of Science ®Google Scholar
• Schwieterman, J., & Battaglia, A. (2014). The digitally connected traveler: measuring the growing use of electronic devices on intercity buses, planes, and trains 2010–2013. Presented at the Transportation Research Board 93rd Annual Meeting . Retrieved from https://trid.trb.org/view.aspx?id=1289560 .
   Google Scholar
• Sudman, S., & Bradburn, N. M. (1973). Effects of time and memory factors on response in surveys. Journal of the American Statistical Association, 68(344), 805–815. doi:10.2307/2284504 doi: 10.1080/01621459.1973.10481428
   Web of Science ®Google Scholar
• Susilo, Y., Lyons, G., Jain, J., & Atkins, S. (2012). Rail passengers’ time use and utility assessment. Transportation Research Record: Journal of the Transportation Research Board, 2323, 99–109. doi: 10.3141/2323-12
   Web of Science ®Google Scholar
• Timmermans, H., & Van der Waerden, P. (2008). Synchronicity of activity engagement and travel in time and space: Descriptors and correlates of field observations. Transportation Research Record: Journal of the Transportation Research Board, 2054, 1–9. doi: 10.3141/2054-01
   Web of Science ®Google Scholar
• United Nations Department of Economic and Social Affairs, Statistics Division. (2009). International classification of activities for time-use statistics. Retrieved from https://unstats.un.org/unsd/class/intercop/expertgroup/2009/AC190-Bk4.PDF
   Google Scholar
• Van der Waerden, P., Kemperman, A., van Hulle, R., & Timmermans, H. (2010). The influence of facilities for multitasking on individual’s travel decisions in the context of work trips. Presented at the Transportation Research Board 89th Annual Meeting. Retrieved from http://trid.trb.org/view.aspx?id=910535
   Google Scholar
• Van der Waerden, P., Timmermans, H., & van Neerven, R. (2009). Extent, nature, and covariates of multitasking of rail passengers in an urban corridor: A Dutch Case Study. Transportation Research Record: Journal of the Transportation Research Board, 2110, 106–111. doi: 10.3141/2110-13
   Web of Science ®Google Scholar
• Vilhelmson, B., Thulin, E., & Fahlén, D. (2011). ICTs and activities on the move? People’s use of time while traveling by public transportation. In S. D. Brunn (Ed.), Engineering earth (pp. 145–154). Netherlands: Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-90-481-9920-4_10
   Google Scholar
• Wardman, M., & Lyons, G. (2015). The digital revolution and worthwhile use of travel time: Implications for appraisal and forecasting. Transportation, 43, 507–530. doi: 10.1007/s11116-015-9587-0
   Web of Science ®Google Scholar
• Watts, L., & Lyons, G. (2010). Travel remedy kit: Interventions into train lines and passenger times. In M. Büscher, J. Urry, & K. Witchger (Eds.), Mobile methods (pp. 104–118). London: Routledge.
   Google Scholar
• Watts, L., & Urry, J. (2008). Moving methods, travelling times. Environment and Planning D: Society and Space, 26(5), 860–874. doi: 10.1068/d6707
   Web of Science ®Google Scholar
• White, K. M., Hyde, M. K., Walsh, S. P., & Watson, B. (2010). Mobile phone use while driving: An investigation of the beliefs influencing drivers’ hands-free and hand-held mobile phone use. Transportation Research Part F: Traffic Psychology and Behaviour, 13(1), 9–20. doi: 10.1016/j.trf.2009.09.004
   Web of Science ®Google Scholar
• Yosritzal. (2014). An investigation into the role of technology in influencing the perception and value of travel time by rail. Newcastle University. Retrieved from http://hdl.handle.net/10443/2493
   Google Scholar
• Zhang, J., & Timmermans, H. (2010). Scobit-based panel analysis of multitasking behavior of public transport users. Transportation Research Record: Journal of the Transportation Research Board, 2157, 46–53. doi: 10.3141/2157-06
   Web of Science ®Google Scholar