Towards a microeconomic framework for modelling the joint choice of activity–travel behaviour and ICT use

Jacek Pawlak1,2, John W. Polak1, Aruna Sivakumar1
1Centre for Transport Studies, Imperial College London, United Kingdom
2Imperial College Business School, Imperial College London, United Kingdom

Tài liệu tham khảo

Andreev, P., Pliskin, N., and Salomon, I., 2007. ICT impacts on leisure activities and leisure-related travel: preliminary exploration. Paper presented to the 11th World Conference on Transport Research, Berkley, CA, USA. Andreev, 2010, Review: state of teleactivities, Transp. Res. C, 18, 3, 10.1016/j.trc.2009.04.017 Aral, S., Brynjolfsson, E., Van Alstyne, M., 2007. Information, Technology and Information Worker Productivity. Research Brief, IX, 2. Centre for Digital Business, Massachusetts Institute for Technology, Cambridge, MA. Ashiru, O., Polak, J.W., Noland, R.B., 2004. The Utility of Schedules: A Theoretical Model of Departure Time Choice and Activity Time allocation with Application to Individual Activity Schedules. Paper presented to the 83rd Annual Meeting of the Transportation Research Board, Washington, DC, USA. Bailey, 2012, The lure of the virtual, Organizat. Sci., 23, 1485, 10.1287/orsc.1110.0703 Bailey, 2002, A review of telework research: findings, new directions, and lessons for the study of modern work, J. Organizat. Behav., 23, 383, 10.1002/job.144 Bates, 1987, Measuring travel time values with a discrete choice model: a note, Econ. J., 97, 493, 10.2307/2232894 Bates, 2001, The valuation of reliability for personal travel, Transp. Res. E Logist. Transp. Rev., 37, 191, 10.1016/S1366-5545(00)00011-9 BBC, 2012. Is teleworking driving us crazy? (http://www.bbc.co.uk/news/business-19594518; visited 03 January 2014). Becker, 1965, A theory of allocation of time, Econ. J., 75, 493, 10.2307/2228949 Bhat, 1999, Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends, Transportation, 26, 193, 10.1023/A:1005192230485 Bierlaire, M., 2002. The network GEV model. Proceedings of the 2nd Swiss Transportation Research Conference, Ascona, Switzerland. Bresnahan, 1991, Empirical models of discrete games, J. Economet., 48, 57, 10.1016/0304-4076(91)90032-9 Brewer, 2000, Distributed work and travel behaviour: the dynamics of interactive agency choices between employers and employees, Transportation, 27, 117, 10.1023/A:1005248429131 Brightcom, 2010. Telepresence and video conferencing ROI emphasized by Icelandic Volcano Ash Cloud (http://www.pr.com/press-release/228706; visited 20 November 2013). Brownstone, 2005, Valuing time and reliability: assessing the evidence from road pricing demonstrations, Transp. Res. A Policy Practice, 39, 279, 10.1016/j.tra.2004.11.001 Brynjolfsson, 2003, Computing productivity: firm-level evidence, Rev. Econ. Statist., 85, 793, 10.1162/003465303772815736 Bryson, A., Forth, J., 2007. Are there day of the week productivity effects? Report, Manpower Human Resources Lab, LSE, London, United Kingdom. Bull, 2000 Butler, 2007, Does telecommuting improve productivity?, Commun. ACM, 50, 101, 10.1145/1232743.1232773 Castells, 2010, vol. 3 Chikaraishi, M., Fujiwara, A., Zhang, J., Axhausen, K.W., 2009. Exploring Variation Properties of Departure Time Choice Behaviour Using Multilevel Analysis Approach. Paper presented to the 88th Annual Meeting of the Transportation Research Board, Washington D.C., USA. Choo, 2007, Telecommunications and travel demand and supply: aggregate structural equation models for the US, Transp. Res. A, 41, 4 Choo, 2007, Do transportation and communications tend to be substitutes, complements, or neither?, Transp. Res. Record J. Transp. Res. Board, 2010, 121, 10.3141/2010-14 Currie, G., Jones, A., Woolley, J., 2014. Impacts and Lessons from the London 2012 olympic games travel demand management program–an independent view. Paper prepared for the 93rd Annual Meeting of the Transportation Research Board, Washington, DC, USA. Dawson, 2011, Modelling fatigue and the use of fatigue models in work settings, Accident Anal. Prevent., 43, 549, 10.1016/j.aap.2009.12.030 De Graaff, 2007, Substitution between working at home and out-of-home: the role of ICT and commuting costs, Transp. Res. A, 41, 142 De Serpa, 1971, A theory of economics of time, Econ. J., 81, 233 Douglas, 2013, Travel or technology? Business factors influencing management decisions, South Afr. J. Econ. Manage. Sci., 16, 279, 10.4102/sajems.v16i3.362 Dutcher, 2012, The effects of telecommuting on productivity: an experimental examination. The role of dull and creative tasks, J. Econ. Behav. Organizat., 84, 355, 10.1016/j.jebo.2012.04.009 Ettema, 2007, Multitasking and value of travel time savings, Transp. Res. Record J. Transp. Res. Board, 2010, 19, 10.3141/2010-03 Ettema, 1995, Competing risk hazard model of activity choice, timing, sequencing, and duration, Transp. Res. Record J. Transp. Res. Board, 1493, 101 Ettema, 2007, Modelling the joint choice of activity timing and duration, Transp. Res. A, 41, 827 Evans, 1972, On the theory of the valuation and allocation of time, Scottish J. Polit. Econ., 19, 1, 10.1111/j.1467-9485.1972.tb00504.x Fagnant, D.J., Kockelman, K., 2014. Preparing a nation for autonomous vehicles: opportunities, barriers, and policy recommendations. Paper prepared for the 93rd Annual Meeting of the Transportation Research Board, Washington, DC, USA. Fiol, 2005, Identification in Face-to-face, Hybrid, and Pure Virtual teams: untangling the contradictions, Organizat. Sci., 16, 19, 10.1287/orsc.1040.0101 Folkard, 2003, Shift work, safety and productivity, Occupat. Med., 53, 95, 10.1093/occmed/kqg047 Frazis, 2007, Where Does the Time Go? Concepts and Measurement in the American Time Use Survey. Hard-to-Measure Goods Services: Essays in Honor of Zvi Griliches, 73 Gann, 2010, Physical-digital integration in city infrastructure, IBM J. Res. Dev., 55, 8:1 Golden, 2012 Golob, 2001, Impacts of information technology on personal travel and commercial vehicle operations: research challenges and opportunities, Transp. Res. C, 9, 87, 10.1016/S0968-090X(00)00042-5 Greiner, 2014, Is Avatar-to-avatar communication as effective as face-to-face communication? An ultimatum game experiment in first and second life, J. Econ. Behav. Organizat., 10.1016/j.jebo.2014.01.011 Grimes, 2012, The need for speed: impacts of internet connectivity on firm productivity, J. Prod. Anal., 37, 187, 10.1007/s11123-011-0237-z Hägerstrand, 1970, What about People in Regional Science?, Papers Reg. Sci. Assoc., 24, 7, 10.1111/j.1435-5597.1970.tb01464.x Harvey, 1993, Guidelines for time use data collection, Social Indicat. Res., 30, 197, 10.1007/BF01078728 Hensher, 1977 Hensher, 1985, Valuation of travel time savings: A direct experimental approach, J. Transp. Econ. Policy, 19, 237 Hill, 1998, Influences of the virtual office on aspects of work and work/life balance, Personnel Psychol., 51, 667, 10.1111/j.1744-6570.1998.tb00256.x Jara-Díaz, 2003, On the goods-activities technical relations in time allocation theory, Transportation, 30, 245, 10.1023/A:1023936911351 Jara-Díaz, 2007 Kellogg, 1986, Writing method and productivity of science and engineering faculty, Res. Higher Edu., 25, 147, 10.1007/BF00991488 Kenyon, 2007, Introducing multitasking to the study of travel and ICT: examining its extent and assessing its potential importance, Transp. Res. A, 41, 161 Kenyon, 2008, Internet use and time use: the importance of multitasking, Time Use Soc., 17, 283, 10.1177/0961463X08093426 Kenyon, 2010, What do we mean by multitasking? Exploring the need for methodological clarification in time use research, Int. J. Time Use Res. Context, 7, 42, 10.13085/eIJTUR.7.1.42-60 Klerman, 2007, On mathematical modeling of circadian rhythms, performance and alertness, J. Biol. Rhythms, 22, 91, 10.1177/0748730407299200 Konduri, 2009, An activity-based analysis of time use to assess the influence of information and communication technologies on mobility patterns, 69 Lu, 2009, Analysis of the factors that influence the relationship between business air travel and videoconferencing, Transp. Res. A, 43, 709 Lyons, 2005, Travel time use in the information age, Transp. Res. A, 39, 257 Ma, 2011, Hägerstrand time-geography revisited from current perspective, 407 Maliranta, 2006, Informational mobility and productivity: finnish evidence, Econ. Innovat. New Technol., 15, 605, 10.1080/10438590500418935 Mokhtarian, 2001, How derived is the demand for travel? Some conceptual and measurement considerations, Transp. Res. A, 35, 695 Mokhtarian, 1999, Beyond tele-substitution: disaggregate longitudinal structural equations modeling of communication impacts, Transp. Res. C, 7, 33, 10.1016/S0968-090X(99)00010-8 Mokhtarian, 2009, If telecommunication is such a good substitute for travel, why does congestion continue to get worse?, Transp. Lett. Int. J. Transp. Res., 1, 1, 10.3328/TL.2009.01.01.1-17 Mokhtarian, 1996, Modeling the choice of telecommuting 3: identifying the choice set and estimating binary models for technology-based alternatives, Environ. Planning A, 28, 1877, 10.1068/a281877 Mokhtarian, 1997, Modeling the desire to telecommute: the importance of attitudinal factors in behavioral models, Transp. Res. A, 31, 35 Mokhtarian, 1990, A typology of the relationships between telecommunications and transportation, Transp. Res. A, 24a, 231, 10.1016/0191-2607(90)90060-J Mokhtarian, P.L., 2000. Telecommunications and travel: transportation in the new millennium. state of the art and future directions. Perspectives from TRB Standing Committee A1C08 Committee on Telecommunications and Travel Behavior. Washington, DC, USA. Mokhtarian, 1998, The impact of gender, occupation, and presence of children on telecommuting motivations and constraints, J. Am. Soc. Inf. Sci., 49, 1115, 10.1002/(SICI)1097-4571(1998)49:12<1115::AID-ASI7>3.0.CO;2-Y Mokhtarian, P.L., Salomon, I., Choo, S., 2004. Data and Measurement Issues in Transportation, With Telecommuting as a Case Study. Research Report UCD-ITS-RR-04-29. Institute of Transportation Studies, University of California, Davis, USA. Mokhtarian, 2006, The impacts of ICT on leisure activities and travel: a conceptual exploration, Transportation, 33, 263, 10.1007/s11116-005-2305-6 Nagurney, 2002, Multicriteria network equilibrium modeling with variable weights for decision-making in the information age with applications to telecommuting and teleshopping, J. Econ. Dyn. Control, 26, 1629, 10.1016/S0165-1889(01)00088-4 Ndubisi, 2005, Teleworking adoption decision-making processes: multinational and Malaysian firms comparison, J. Enterprise Inf. Manage., 18, 150, 10.1108/17410390510579891 Neufeld, 2005, Individual, social and situational determinants of telecommuter productivity, Inf. Manage., 42, 1037, 10.1016/j.im.2004.12.001 Nicholls, 2004, Harvester productivity and operator fatigue: working extended hours, Int. J. Forest Eng., 15, 37, 10.1080/14942119.2004.10702497 Ory, 2005, When is getting there half the fun? Modeling the liking for travel, Transport. Res. A-Pol., 39, 97 Pawlak, J., 2014. On the Move: How can we model in-travel activity choice and productivity in the era of nomadism and multitasking? Paper presented to the 46th Universities Transport Studies Group Conference, Newcastle, United Kingdom. Pawlak, J., Polak, J.W., Sivakumar, A., 2011. The consequences of the productive use of travel time: revisiting the goods–leisure trade-off in the era of pervasive ICT. Paper presented to the 2nd International Choice Modelling Conference, Leeds, United Kingdom. Pawlak, J., Sivakumar, A., Polak, J.W., 2013. Making productive use of the wasted: a behavioural model of activity choice for business travel time and implications of ict use for in-travel productivity. Paper presented to the 3rd International Choice Modelling Conference, Sydney, Australia. Pawlak, 2014, Digital behaviour and physical mobility: a cross-national analysis, 45 Peng, 2008, Utility of virtual games and time allocation behavior of game players: a multi-extended utility framework, 651 Polak, J.W., Jones, P., 1994. Traveller’s choice of time of travel under road pricing. Paper presented to the 73rd Annual Meeting of the Transportation Research Board, Washington, DC, USA. Redmond, 2001, The positive utility of the commute: modeling ideal commute time and relative desired commute amount, Transportation, 28, 179, 10.1023/A:1010366321778 Reuters, 2010. Air Traffic Bans Boost Videoconferencing – Cisco. (http://www.reuters.com/article/2010/04/19/europe-air-cisco-idUSLDE63I15Y20100419, visited 12 December 2013). Rose, 2008, Stated preference experimental design strategies, 151 Salomon, 1986, Telecommunications and travel relationships: a review, Transp. Res. A, 20, 223, 10.1016/0191-2607(86)90096-8 Salomon, 2000, Can telecommunications help solve transportation problems?, 449 Salomon, 1998, What happens when mobility-inclined market segments face accessibility-enhancing policies?, Transp. Res. D, 3, 129, 10.1016/S1361-9209(97)00038-2 Singh, P., Paleti, R., Jenkins, S., Bhat, C.R., 2012. On Modeling Telecommuting Behavior: Option, Choice, and Frequency. Paper presented to the 91st Annual Meeting of the Transportation Research Board, Washington, DC, USA. Sipress, 1999, Not all commuters are driven crazy, Washington Post, A1 Small, 1982, The scheduling of consumer activities: work trips, Am. Econ. Rev., 72, 467 Smith, 1989, Theory, experiment and economics, J. Econ. Perspect., 3, 151, 10.1257/jep.3.1.151 Smoreda, Z., Thomas, F., 2001. Social networks and residential ICT adoption and use. Paper presented to EURESCOM Summit 2001, Heidelberg, Germany. Spencer, 1987, The influence of irregularity of rest and activity on performance: a model based on time since sleep and time of day, Ergonomics, 30, 1275, 10.1080/00140138708966022 Steuer, 1992, Defining virtual reality: dimensions determining telepresence, J. Commun., 4, 73, 10.1111/j.1460-2466.1992.tb00812.x Train, 1978, The goods/leisure tradeoff and disaggregate work trip mode choice models, Transp. Res., 12, 349, 10.1016/0041-1647(78)90011-4 Van den Berg, P., Arentze, T., Timmermans, H.J.P., 2014. A multilevel analysis of factors influencing social interaction with neighbors. 93rd Annual Meeting of the Transportation Research Board, Washington, DC, USA. Van Dongen, 2005, Circadian rhythms in sleepiness, alertness, and performance, Principles Practice Sleep Med., 4, 435, 10.1016/B0-72-160797-7/50042-2 Wang, 2007, Impacts of information and communication technologies (ICT) on time use and travel behaviour: a structural equation analysis, Transportation, 34, 513, 10.1007/s11116-007-9113-0 Wang, 2011, A two-level multiple discrete-continuous model of time allocation to virtual and physical activities, Transport Metrica, 7, 6, 395 Watts, 2008, Moving methods, travelling times, Soc. Space, 26, 860 Westfall, 2004, Does telecommuting really increase productivity?, Commun. ACM, 47, 8, 93, 10.1145/1012037.1012042 Winston, 1982 Winston, 1987, Activity choice: a new approach to economic behaviour, J. Econ. Behav. Organizat., 8, 567, 10.1016/0167-2681(87)90035-7 Wood, 1992, Diurnal changes in perceptions of energy and mood, J. Roy. Soc. Med., 85, 191, 10.1177/014107689208500404