Intensive travel time: an obligation or a choice?
Tóm tắt
This paper explores what prompts some individuals to spend a significant amount of time travelling. In the literature, travel time tends to be regarded as useless, unproductive time and, in some cases, as the worst time of the day. The actual behaviour of intensive travellers challenges this view of travel time. A mixed approach that combines quantitative and qualitative methodologies was adopted. A survival analysis of daily travel time in eight European cities gives a quantitative definition of intensive travellers. Qualitative interviews with intensive travellers explore the various dimensions of choice and/or obligation that are responsible for these extreme daily travel times. The results show that roughly 20 % of the individuals in the sample for each city have long travel times (more than 100 min a day). The quantitative analysis also suggests that the behaviour of these individuals is atypical and cannot be explained solely by the characteristics that are considered in standard travel surveys. A qualitative sociological approach supplements the quantitative approach and illustrates that the allocation of travel time is not only determined by the activity pursued at the destination or the mode of transport but also by other factors such as personal beliefs and the perception of travel time. The positive perception of travel time as time to be used constructively or enjoyed influences the decision to travel intensively and, above all, contributes to its long-term acceptability. A number of political issues depend on travel behaviour and therefore, to some extent, on time management. New patterns of behaviour with regard to time management help explain the expansion in the range of individual travel.
Tài liệu tham khảo
Atkinson R (2002) The life story interview. In: Gubrium JF, Holstein JA (eds) Handbook of interview research: context and method. Sage, Thousand Oaks, pp 121–140
Beauvais Consultants (2007) Recherche sur le développement de la grande vitesse et de la birésidentialité, rentrer chez soi chaque soir ou une fois par semaine? PREDIT research report, GO n°1 « Mobilité, territoires et développement durable », Université François Rabelais SPVE / ETIcS
Beckmann MJ, Golob TF (1972) A critique of entropy and gravity in travel forecasting. In: Newell GF (ed) Traffic flow and transportation. American Elsevier, New York, pp 109–117
Berg B (2003) Qualitative research methods for the social sciences. Lavoisier
Bertaux D (2005) Les récits de vie. Paris, Armand Colin, 2ème édition
Bhat CR, Guo JY, Srinivasan S, Sivakumar A (2004) Comprehensive econometric microsimulator for daily activity-travel patterns. Transp Res Rec 1894:57–66
Bhat CR, Misra R (1999) Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends. Transportation 26(2):193–209
Bryman A (2004) Social research methods, 2nd edn. Oxford University Press, Oxford
Calvert T, Avineri E (2011) Who wants to commute more and why? Exploring the positive utility of the commute. PROJECT: J Dep Plann Archit 3:68–69
Champion TM, Coombes B (2008) Migration and longer distance commuting in rural England. Reg Stud 42:1–15
Chen C, Mokhtarian PL (2006) Tradeoffs between time allocations to maintenance activities/travel and discretionary activities/travel. Transportation 33(3):223–240
Coninck F, Godard F (1990) L’approche biographique à l’épreuve de l’interprétation, Les formes temporelles de la causalité. Revue française de sociologie, XXXI-1, janvier-mars 23–55
Department for Transport (2010) Transport trends: 2009 edition. Transport Statistics: DfT, London 178
Diana M (2006) Utilité primaire des déplacements et multimodalité: conception et réalisation d’un outil d’enquête novateur. RTS Rech Transp Sécur 93:1–16
Dijst M, Vidakovic V (2000) Travel time ratio: the key factor for spatial reach. Transportation 27(2):179–199
Flamm M (2004) La mobilité quotidienne dans la perspective de la conduite de vie. In: Montulet B, Kaufmann V (eds) Mobilités, fluidités… libertés ? Publication des Facultés Universitaires St-Louis, Bruxelles, pp 71–94
Golob TF, Mcnally MG (1997) A model of activity participation and travel interactions between household heads. Transp Res B 31(3):177–194
Goulias KG, Brög W, Erl E (1998) Perceptions in mode choice using the situational approach: a trip by trip multivariate analysis for public transportation. The 77th Annual Meeting of Transportation Research Board, Washington, 11–15 January, 21
Gustafson P (2012) Travel time and working time: what business travellers do when they travel, and why? Time Soc 21(2):203–222
Hamed M, Mannering F (1993) Modelling travellers post-work activity involvement : toward a new methodology. Transp Sci 27(4):381–394
Hesse-Biber SN (2010) Mixed methods research: merging theory with practice. Guilford 242
Hubert JP (2009) Dans les grandes agglomérations, la mobilité quotidienne des habitants diminue, et elle augmente ailleurs. Insee Premiere 1252
Hubert J-P, Toint P (2002) La mobilité quotidienne des Belges. Namur Presse Univ Namur 352
JAIN J, LYONS G (2008) The gift of travel time. J Transp Geogr 16:81–89
Joly I (2006) Stability of regularity of the daily travel time in Lyon? Application of a duration model. Int J Trans Econ 3:369–400, XXXIII
Joly I, Littlejohn K, Kaufmann V (2006) La croissance des budgets-temps de transport en question: nouvelles approches. PREDIT research report GO1 232
Kahneman D, Krueger AB, Schkade D, Schwarz N, Stone AA (2006) Would you be happier if you were richer? A focusing illusion. Science 312(5782):1908–1910
Kaufmann V (2008) Les paradoxes de la mobilité, Bouger, s’enraciner. Presses polytechniques et universitaires romandes, Lausanne
Kesselring S (2006) Pioneering mobilities: new patterns of movement and motility in a mobile word. Environ Plan A 38:269–279
Kitamura R, Chen C, Narayanan R (1998) The effects of time of day, activity duration and home location on traveller’s destination choice behaviour. 77th Annual Meeting of the Transportation Research Board, Washington, 11–15 January, 25
Kitamura R, Robinson J, Golob TF, Bradley M, Leonard J, van der Hoorn T (1992) A comparative analysis of time use data in the Netherlands and California. Report UCD-ITS-RR-92-9, Institute of Transportation Studies, University of California, June, 127–138
Kvale S, Brinkmann S (2008) Interviews: learning the craft of qualitative research interviewing. Sage Publications Incorporated
Laurier E (2004) Doing office work on the motorway. Theory Cult Soc 21(4/5):261–277
Lawless JF (2003) Statistical models and methods for lifetime data. Wiley, New York
Lu X, Pas E (1999) Socio-demographics, activity participation and travel behaviour. Transp Res A 33(1):1–18
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
Lyons G (2009) The reshaping of activities and mobility through new technologies. Editorial for special issue on ICT and the shaping of access, mobility and everyday life. J Transp Geogr 17(2):81–82
Ma J, Goulias KG (1998) Forecasting home departure time, daily time budget, activity duration and travel time using panel data. The 77th Annual Meeting of Transportation Research Board, Washington, 11–15 January, 29
Maoh H, Tang Z (2012) Determinants of normal and extreme commute distance in sprawled midsize Canadian city: evidence from Windsor, Canada. J Transp Geogr 25:50–57
Marion B, Horner M (2007) A comparison of the socioeconomic and demographic profiles of extreme commuters in several US metropolitan statistical areas. Transp Rese Rec 2013:38–45
Meissonnier J (2001) Provinciliens: Les voyageurs du quotidien, entre capitale et province. L’Harmattan, Paris
Mokhtarian PL, Chen C (2004) TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets. Transp Res A 38(9–10):643–675
Mokhtarian PL, Salomon I (2001) How derived is the demand for travel? Some conceptual and measurement considerations. Transp Res A 35(8):695–719
Mokhtarian PL, Salomon I (1997) Modeling the desire to telecommute: the importance of attitudinal factors in behavioral models. Transp Res A 31(1):35–50
Oakes D (1977) The asymptotic information in censored survival data. Biometrika 64:441–448
O’fallon C, Wallis I (2012) A wider look at how travellers value the quality and quantity of travel time. New Zealand Transport Agency research report 469, 128
OFS (2007) La mobilité en Suisse, Résultats du microrecensement 2005 sur le comportement de la population en matière de transports. Office fédéral du développement territorial et Office fédéral Statistique de la Suisse, Neuchâtel, 100
ONS (2013) Commuting and personal well-being, 2014. Office for National Statistics, Office for National Statistics (UK) report, 25p
Papon F, Armoogum J, Diana M (2008) Specific experimental trials versus large-scale mobility surveys insets to investigate transport-related behavioural issues: the case of the primary utility of travel. ISCTSC Conference, Annecy
Redmond L, Mokhatarian P (2001) The positive utility of the commute: modelling ideal commute time and relative desired commute amount. Transportation 28(2):179–205
Rocci A (2007) De l’automobilité à la multimodalité ? Analyse sociologique des freins et leviers au changement des comportements vers une réduction de l’usage de la voiture. Le cas de la région parisienne et perspective internationale. Thèse de doctorat en sociologie sous la direction de D. Desjeux, Université René Descartes, Sorbonne
Russel M (2012) Travel time use on public transport: what passengers do and how it affects their wellbeing. Phd thesis, University of Otago, Dunedin New Zealand, p343
Russell M, Price R, Signal L, Stanley J (2011) What do passengers do during travel time? Structured observations on buses and trains. J Public Transp 14(3):123–146
Schwanen T, Dijst M (2002) Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration. Transp Res A 36:573–592
Srinivasan KK, Guo Z (2007) Analysis of trip and stop duration for shopping activities: Simultaneous hazard duration model system. Transp Res Rec 1854
Stutzer A, Frey BS (2008) Stress that doesn’t pay: the commuting paradox. Scand J Econ 110(2):339–366
Timmermans H, Waerden P, Alves M, Polak J, Ellis S, Harvey AS, Kurose S, Zandee R (2002) Time allocation in urban and transport settings: an international, inter-urban perspective. Transp Policy 9(2):79–93
Tucci G (2006) Mixed methods and simulation research designs. Int J Transp Econ 33(3):301–311
Vincent S (2008) Les « altermobilités » : analyse sociologique d’usages de déplacements alternatifs à la voiture individuelle. Des pratiques en émergence ? Phd thesis, Université Paris 5 – René Descartes, 416
Vincent-Geslin S (2010) Why spending two hours a day commuting? Deciding to become a long-distance commuter. Paper presented at the 12th WCTR, Lisbon
Watts L, Urry J (2008) Moving methods, travelling times. Environ Plann D Soc Space 26(5):860–874
Wee B, Rietveld P, Meurs H (2006) Is average daily travel time expenditure constant? In search of explanations for an increase in average travel time. J Transp Geogr 14(2):109–122