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

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  • Pawlak, Jacek
  • Polak, John W.
  • Sivakumar, Aruna

Abstract

The rapid development of information and communication technologies (ICT) has been argued to affect time use patterns in a variety of ways, with consequent impacts on travel behaviour. While there exists a significant body of empirical studies documenting these effects, theoretical developments have lagged this empirical work and in particular, microeconomic time allocation models have not to date been fully extended to accommodate the implications of an increasingly digitised society. To address this gap, we present a modelling framework, grounded in time allocation theories and the goods–leisure framework, for joint modelling of the choice of mode of activity (physical versus tele-activity), travel mode and route, and ICT bundle. By providing the expression for a conditional indirect utility function, we use hypothetical scenarios to demonstrate how our framework can conceptualise various activity–travel decision situations. In our scenarios we assume a variety of situations such as the implications of severe weather, the introduction of autonomous vehicles, and the interaction between multiple decision makers. Moreover, our approach lays the microeconomic foundations for deriving subjective values of ICT qualities such as broadband speed or connection reliability. Finally, we also demonstrate the means by which our framework could be linked to various data collection protocols (stated preference exercises, diaries of social interactions, laboratory experiments) and modelling approaches (discrete choice modelling, hazard-based duration models).

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  • Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2015. "Towards a microeconomic framework for modelling the joint choice of activity–travel behaviour and ICT use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 92-112.
  • Handle: RePEc:eee:transa:v:76:y:2015:i:c:p:92-112
    DOI: 10.1016/j.tra.2014.10.013
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    as
    1. Mika Maliranta & Petri Rouvinen, 2006. "Informational mobility and productivity: Finnish evidence," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(6), pages 605-616.
    2. Lothlorien Redmond & Patricia Mokhtarian, 2001. "The positive utility of the commute: modeling ideal commute time and relative desired commute amount," Transportation, Springer, vol. 28(2), pages 179-205, May.
    3. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    4. Brownstone, David & Small, Kenneth A., 2005. "Valuing time and reliability: assessing the evidence from road pricing demonstrations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 279-293, May.
    5. Ernst R. Berndt & Charles R. Hulten, 2007. "Introduction to "Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches"," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 1-14, National Bureau of Economic Research, Inc.
    6. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(1), pages 35-50, January.
    7. Salomon, Ilan & Mokhtarian, Patricia, 1998. "What Happens When Mobility-Inclined Market Segments Face Accessibility-Enhancing Policies?," Institute of Transportation Studies, Working Paper Series qt2x75525j, Institute of Transportation Studies, UC Davis.
    8. Patricia L. Mokhtarian & Michael N. Bagley & Ilan Salomon, 1998. "The impact of gender, occupation, and presence of children on telecommuting motivations and constraints," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(12), pages 1115-1134.
    9. Arthur Grimes & Cleo Ren & Philip Stevens, 2012. "The need for speed: impacts of internet connectivity on firm productivity," Journal of Productivity Analysis, Springer, vol. 37(2), pages 187-201, April.
    10. Golden, Lonnie., 2012. "The effects of working time on productivity and firm performance : a research synthesis paper," ILO Working Papers 994708473402676, International Labour Organization.
    11. Choo, Sangho & Mokhtarian, Patricia L., 2007. "Telecommunications and travel demand and supply: Aggregate structural equation models for the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 4-18, January.
    12. Mokhtarian, Patricia L., 1990. "A Typology of Relationships Between Telecommunications And Transportation," University of California Transportation Center, Working Papers qt4rx589m0, University of California Transportation Center.
    13. P L Mokhtarian & I Salomon, 1996. "Modeling the Choice of Telecommuting: 3. Identifying the Choice Set and Estimating Binary Choice Models for Technology-Based Alternatives," Environment and Planning A, , vol. 28(10), pages 1877-1894, October.
    14. Nagurney, Anna & Dong, June & Mokhtarian, Patricia L., 2002. "Multicriteria network equilibrium modeling with variable weights for decision-making in the Information Age with applications to telecommuting and teleshopping," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1629-1650, August.
    15. Mokhtarian, Patricia & Meenakshisundaram, Ravikumar, 1999. "Beyond Tele-Substitution: Disaggregate Longitudinal Structural Equations Modeling of Communication Impacts," Institute of Transportation Studies, Working Paper Series qt4hg365gh, Institute of Transportation Studies, UC Davis.
    16. de Graaff, Thomas & Rietveld, Piet, 2007. "Substitution between working at home and out-of-home: The role of ICT and commuting costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 142-160, February.
    17. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    18. Evans, Alan W, 1972. "On the Theory of the Valuation and Allocation of Time," Scottish Journal of Political Economy, Scottish Economic Society, vol. 19(1), pages 1-17, February.
    19. Glenn Dutcher, E., 2012. "The effects of telecommuting on productivity: An experimental examination. The role of dull and creative tasks," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 355-363.
    20. Lu, Jin-Long & Peeta, Srinivas, 2009. "Analysis of the factors that influence the relationship between business air travel and videoconferencing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 709-721, October.
    21. Ory, David T. & Mokhtarian, Patricia L., 2005. "When is getting there half the fun? Modeling the liking for travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 97-123.
    22. Ann Brewer & David Hensher, 2000. "Distributed work and travel behaviour: The dynamics of interactive agency choices between employers and employees," Transportation, Springer, vol. 27(1), pages 117-148, February.
    23. Ernst R. Berndt & Charles R. Hulten, 2007. "Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches," NBER Books, National Bureau of Economic Research, Inc, number bern07-1, March.
    24. Golob, Thomas F. & Regan, Amelia C., 2001. "Impacts of Information Technology on Personal Tavel and Commercial Vehicle Operations: Research Challenges and Opportunities," University of California Transportation Center, Working Papers qt95r7j7vk, University of California Transportation Center.
    25. Harley Frazis & Jay Stewart, 2007. "Where Does the Time Go? Concepts and Measurement in the American Time Use Survey," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 73-97, National Bureau of Economic Research, Inc.
    26. Kenyon, Susan & Lyons, Glenn, 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, Elsevier, vol. 41(2), pages 161-175, February.
    27. Chandra Bhat & Rajul Misra, 1999. "Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends," Transportation, Springer, vol. 26(2), pages 193-229, May.
    28. repec:ilo:ilowps:470847 is not listed on IDEAS
    29. Susan Kenyon, 2010. "What do we mean by multitasking? – Exploring the need for methodological clarification in time use research," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 7(1), pages 42-60, October.
    30. Greiner, Ben & Caravella, Mary & Roth, Alvin E., 2014. "Is avatar-to-avatar communication as effective as face-to-face communication? An Ultimatum Game experiment in First and Second Life," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 374-382.
    31. Diane E. Bailey & Paul M. Leonardi & Stephen R. Barley, 2012. "The Lure of the Virtual," Organization Science, INFORMS, vol. 23(5), pages 1485-1504, October.
    32. Winston, Gordon C., 1987. "Activity choice : A new approach to economic behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 8(4), pages 567-585, December.
    33. Lyons, Glenn & Urry, John, 2005. "Travel time use in the information age," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 257-276.
    34. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    35. Smith, Vernon L, 1989. "Theory, Experiment and Economics," Journal of Economic Perspectives, American Economic Association, vol. 3(1), pages 151-169, Winter.
    36. Andrew Harvey, 1993. "Guidelines for time use data collection," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 30(2), pages 197-228, November.
    37. Bates, John J, 1987. "Measuring Travel Time Values with a Discrete Choice Model: A Note," Economic Journal, Royal Economic Society, vol. 97(386), pages 493-498, June.
    38. Donggen Wang & Fion Law, 2007. "Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: a structural equations analysis," Transportation, Springer, vol. 34(4), pages 513-527, July.
    39. Ettema, Dick & Bastin, Fabian & Polak, John & Ashiru, Olu, 2007. "Modelling the joint choice of activity timing and duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 827-841, November.
    40. Bates, John & Polak, John & Jones, Peter & Cook, Andrew, 0. "The valuation of reliability for personal travel," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 191-229, April.
    41. Mokhtarian, Patricia L & Salomon, Ilan & Choo, Sangho, 2004. "Data and Measurement Issues in Transportation, With Telecommuting as a Case Study," Institute of Transportation Studies, Working Paper Series qt9pt8s9jv, Institute of Transportation Studies, UC Davis.
    42. Patricia Mokhtarian & Ilan Salomon & Susan Handy, 2006. "The Impacts of Ict on leisure Activities and Travel: A Conceptual Exploration," Transportation, Springer, vol. 33(3), pages 263-289, May.
    43. Bresnahan, Timothy F. & Reiss, Peter C., 1991. "Empirical models of discrete games," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 57-81.
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    2. Chiara Calastri & Jacek Pawlak & Richard Batley, 2022. "Participation in online activities while travelling: an application of the MDCEV model in the context of rail travel," Transportation, Springer, vol. 49(1), pages 61-87, February.
    3. Jara-Díaz, Sergio R. & Astroza, Sebastian & Bhat, Chandra R. & Castro, Marisol, 2016. "Introducing relations between activities and goods consumption in microeconomic time use models," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 162-180.
    4. La Paix Puello, Lissy & Chowdhury, Saidul & Geurs, Karst, 2019. "Using panel data for modelling duration dynamics of outdoor leisure activities," Journal of choice modelling, Elsevier, vol. 31(C), pages 141-155.
    5. Kunbo Shi & Long Cheng & Jonas De Vos & Yongchun Yang & Wanpeng Cao & Frank Witlox, 2021. "How does purchasing intangible services online influence the travel to consume these services? A focus on a Chinese context," Transportation, Springer, vol. 48(5), pages 2605-2625, October.
    6. Lavieri, Patrícia S. & Dai, Qichun & Bhat, Chandra R., 2018. "Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 527-544.
    7. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2017. "Beyond transport time: A review of time use modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 209-230.
    8. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
    9. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    10. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.

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