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Trust-networks for changing driver behaviour during severe weather

Trust-networks for changing driver behaviour during severe weather

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Studies on on-road behaviour imply that designing user-centred services is important for raising awareness about severe weather and adverse road conditions. Along with the developments of new communication technologies and practices, the research area of ITS is challenged to move on from traditional ways of collecting and distributing traffic weather information. This study presents two methods for potential improvements and personalisation of traffic weather information. The methods were demonstrated and evaluated by 440 respondents in Stockholm. Weather alerts were sent by SMS 12–48 h, up to a week, prior to the occurrence of severe weather events during 2008–2010. The service was personalised because of assumptions regarding perception and memory of weather, including user's recent observations. The second aspect of potential improvement was the introduction of a social network component, including user-generated local weather observations. The impact of the service was evaluated in a longitudinal study through a series of questionnaires on user behaviour and evaluation of the service. The combination of the two methods proved efficient as the amount of changed decisions was of considerable amplitude. A correlation between time of exposure and changed decisions implies that social components and interactivity may be a powerful tool in traffic weather services and ITS.

References

    1. 1)
      • S.A. Changnon , R.A. Pielke , D. Changnon , R.T. Sylves , R. Pulwarty .
        1. Changnon, S.A., Pielke, R.A., Changnon, D., Sylves, R.T., Pulwarty, R.: ‘Human factors explain the increased losses from weather and climate extremes’, Bull. Am. Meteorol. Soc., 2000, 81, (3), pp. 437442 (doi: 10.1175/1520-0477(2000)081<0437:HFETIL>2.3.CO;2).
        . Bull. Am. Meteorol. Soc. , 3 , 437 - 442
    2. 2)
      • D.R. Easterling , G.A. Meehl , C. Parmesan , S.A. Changnon , T.R. Karl , L.O. Mearns .
        2. Easterling, D.R., Meehl, G.A., Parmesan, C., Changnon, S.A., Karl, T.R., Mearns, L.O.: ‘Climate extremes: observations, modeling, and impacts’, Science, 2000, 289, (5487), pp. 20682074doi:10.1126/science.289.5487.2068 (doi: 10.1126/science.289.5487.2068).
        . Science , 5487 , 2068 - 2074
    3. 3)
      • S. Solomon , D. Qin , M. Manning . (2007)
        3. Solomon, S., Qin, D., Manning, M., et al: ‘Climate change 2007: the physical science basis, contribution of working group i to the fourth assessment report of the intergovernmental panel on climate change’ (Cambridge University Press, 2007).
        .
    4. 4)
      • 4. World Meteorological Organization WMO (UN): ‘Conference statement: summary of the expert segment’. World Climate Conf.-3, WMO, 2009.
        . World Climate Conf.-3, WMO
    5. 5)
      • M.J. Koetse , P. Rietveld .
        5. Koetse, M.J., Rietveld, P.: ‘The impact of climate change and weather on transport: An overview of empirical findings’, Transp. Res. Part D, 2009, 14, (3), pp. 205221 (doi: 10.1016/j.trd.2008.12.004).
        . Transp. Res. Part D , 3 , 205 - 221
    6. 6)
      • K. Knapp , L. Smithson .
        6. Knapp, K., Smithson, L.: ‘Winter storm event volume impact analysis using multiple source archived monitoring data’. Annual Meeting of the Transportation Research Board (TRB) 2000, National Research Council, Washington, 2000.
        . Annual Meeting of the Transportation Research Board (TRB) 2000
    7. 7)
      • J.S. Oh , Y.U. Shim , Y.H. Cho .
        7. Oh, J.S., Shim, Y.U., Cho, Y.H.: ‘Effect of weather conditions to traffic flow on freeway’, KSCE J. of Civil Eng. Highw. Eng., 2002, 6, (4), pp. 413420, doi: 10.1007/BF02841995 (doi: 10.1007/BF02841995).
        . KSCE J. of Civil Eng. Highw. Eng. , 4 , 413 - 420
    8. 8)
      • M.P. Andreescu , D.B. Frost .
        8. Andreescu, M.P., Frost, D.B.: ‘Weather and traffic accidents in Montreal, Canada’, Clim. Res., 1998, 9, pp. 225230 (doi: 10.3354/cr009225).
        . Clim. Res. , 225 - 230
    9. 9)
      • J. Norrman , M. Eriksson , S. Lindqvist .
        9. Norrman, J., Eriksson, M., Lindqvist, S.: ‘Relationships between road slipperiness, traffic accident risk and winter road maintenance activity’, Clim. Res., 2000, 15, (3), pp. 185193 (doi: 10.3354/cr015185).
        . Clim. Res. , 3 , 185 - 193
    10. 10)
      • J. Edwards .
        10. Edwards, J.: ‘The temporal distribution of road accidents in adverse weather’, Meteorol. Appl., 1999, 6, pp. 5968 (doi: 10.1017/S1350482799001139).
        . Meteorol. Appl. , 59 - 68
    11. 11)
      • K. Elevant .
        11. Elevant, K.: ‘Customization by sharing weather information: a study on winter road weather warnings’. Proc. 5th World Congress on Mass Customization and Personalization, Helsinki, Finland, August 2009.
        . Proc. 5th World Congress on Mass Customization and Personalization
    12. 12)
      • K. Elevant .
        12. Elevant, K.: ‘Customized weather warnings – a user-centered approach’. Proc. 16th ITS World Congress, Stockholm, Sweden, September 2009.
        . Proc. 16th ITS World Congress
    13. 13)
      • K. Elevant , M. Turpeinen .
        13. Elevant, K., Turpeinen, M.: ‘Improving weather and climatic information quality with user-generated weather observations’. Proc. 44th Hawaii Int. Conf. System Sciences, Hawaii, January 2011.
        . Proc. 44th Hawaii Int. Conf. System Sciences
    14. 14)
      • K. Elevant .
        14. Elevant, K.: ‘Collaborative observations of weather – a weather information sharers’ community of practice’. Proc. Sixth Int. Conf. Web Information Systems and Technologies, Valencia, Spain, April 2010.
        . Proc. Sixth Int. Conf. Web Information Systems and Technologies
    15. 15)
      • K. Elevant , S. Hrastinski .
        15. Elevant, K., Hrastinski, S.: ‘Web weather 2.0: improving weather information with user-generated observations’, AIS Trans. Hum-. Comput. Interact., 2013, 5, (1), pp. 2841, accepted for publication.
        . AIS Trans. Hum-. Comput. Interact. , 1 , 28 - 41
    16. 16)
      • S.L. Schneider , S.K. Laurion .
        16. Schneider, S.L., Laurion, S.K.: ‘Do we know what we've learned from listening to the news?’, Mem. Cognition., 1993, 21, pp. 198209 (doi: 10.3758/BF03202733).
        . Mem. Cognition. , 198 - 209
    17. 17)
      • K. Elevant .
        17. Elevant, K.: ‘Social media and weather surface observing technologies and systems: expanding the synoptic network through Web 2.0’. Proc. World Meteorological Organization Technical Conf. Meteorological and Environmental Instruments and Methods of Observation (TECO-2010), Helsinki, August 2010.
        . Proc. World Meteorological Organization Technical Conf. Meteorological and Environmental Instruments and Methods of Observation (TECO-2010)
    18. 18)
      • J.R. Holton . (1992)
        18. Holton, J.R.: ‘An introduction to dynamic meteorology’ (The International Geophysics Series, Academic Press Ltd, 1992, 3rd edn.) vol. 48.
        .
    19. 19)
      • S.K. Park , L. Xu . (1999)
        19. Park, S.K., Xu, L.: ‘Data assimilation for atmospheric, oceanic and hydrologic applications’ (Springer, 1999).
        .
    20. 20)
      • M. Kilpeläinen , H. Summala .
        20. Kilpeläinen, M., Summala, H.: ‘Effects of weather and weather forecasts on driver behaviour’, Transp. Res. Part F: Traffic Psychol. Behav., 2007, 10, (4), pp. 288299 (doi: 10.1016/j.trf.2006.11.002).
        . Transp. Res. Part F: Traffic Psychol. Behav. , 4 , 288 - 299
    21. 21)
      • D. Eisenberg .
        21. Eisenberg, D.: ‘The mixed effects of precipitation on traffic crashes’, Accident Anal. Prev., 2003, 36, (4), pp. 637647 (doi: 10.1016/S0001-4575(03)00085-X).
        . Accident Anal. Prev. , 4 , 637 - 647
    22. 22)
      • S. Forward . (2008)
        22. Forward, S.: ‘Driving violations. Investigating forms of irrational rationality’. PhD thesis, Uppsala University, 2008.
        .
    23. 23)
      • J. Forgas , L. Goldenberg , C. Unkelbach .
        23. Forgas, J., Goldenberg, L., Unkelbach, C.: ‘Can bad weather improve your memory? An unobtrusive field study of natural mood effects on real-life memory’, J. Exp. Social Psychol., 2009, 45, (1), pp. 254257 (doi: 10.1016/j.jesp.2008.08.014).
        . J. Exp. Social Psychol. , 1 , 254 - 257
    24. 24)
      • 24. Highways Agency UK: Highways Agency News Release (NE/NO/55/08) issued by COI News Distribution Service, available at http://www.highways.gov.uk/news/pressrelease.aspx?pressreleaseid=167396, 10 November 2008.
        .
    25. 25)
      • H.J. Einhorn , R.M. Hogarth .
        25. Einhorn, H.J., Hogarth, R.M.: ‘Ambiguity and uncertainty in probabilistic inference’, Psychol. Rev., 1985, 92, pp. 433461 (doi: 10.1037/0033-295X.92.4.433).
        . Psychol. Rev. , 433 - 461
    26. 26)
      • H.C. Kelman .
        26. Kelman, H.C.: ‘Processes of opinion change’, Public Opin., 1961, 25, pp. 5778 (doi: 10.1086/266996).
        . Public Opin. , 57 - 78
    27. 27)
      • R.D. Putnam .
        27. Putnam, R.D.: ‘Bowling alone: America's declining social capital’, J. Democracy, 1995, 6, pp. 6578 (doi: 10.1353/jod.1995.0002).
        . J. Democracy , 65 - 78
    28. 28)
      • H. Rheingold . (2000)
        28. Rheingold, H.: ‘The virtual community: homesteading on the electronic Frontier l’ (MIT Press, 2000).
        .
    29. 29)
      • M.S. Granovetter .
        29. Granovetter, M.S.: ‘The strength of weak ties’, Am. J. Sociol., 1973, 78, (6), pp. 13601380 (doi: 10.1086/225469).
        . Am. J. Sociol. , 6 , 1360 - 1380
    30. 30)
      • J. Lazar , J.H. Feng , H. Hochheiser . (2000)
        30. Lazar, J., Feng, J.H., Hochheiser, H.: ‘Research methods in human-computer interaction’ (Wiley, 2000).
        .
    31. 31)
      • Y. Benkler . (2006)
        31. Benkler, Y.: ‘The wealth of networks: how social production transforms markets and freedom’ (Yochai Benkler, 2006).
        .
    32. 32)
      • D. Tapscott , A.D. Williams . (2006)
        32. Tapscott, D., Williams, A.D.: ‘Wikinomics’ (Atlantic Books, An Imprint of Grove Atlantic Ltd, London, 2006).
        .
    33. 33)
      • D. Pink . (2009)
        33. Pink, D.: ‘Drive: the surprising truth about what motivates us’ (Riverhead Books, 2009).
        .
    34. 34)
      • R.M. Ryan , E.L. Deci .
        34. Ryan, R.M., Deci, E.L.: ‘Intrinsic and extrinsic motivations: classic definitions and new directions’, Contemp. Educ. Psychol., 2000, 5, (1), pp. 5467 (doi: 10.1006/ceps.1999.1020).
        . Contemp. Educ. Psychol. , 1 , 54 - 67
    35. 35)
      • D.B. Work , A.M. Bayen .
        35. Work, D.B., Bayen, A.M.: ‘Impacts of the mobile internet on transportation cyberphysical systems: traffic monitoring using smartphones’. National Workshop for Research on High-Confidence Transportation Cyber-Physical Systems: Automotive, Aviation and Rail, Washington DC, November 2008.
        . National Workshop for Research on High-Confidence Transportation Cyber-Physical Systems: Automotive, Aviation and Rail
    36. 36)
      • R. Rosenberger .
        36. Rosenberger, R.: ‘Embodied technology and the dangers of using the phone while driving’, Phenom. Cogn. Sci., 2012, 11, pp. 7994, doi: 10.1007/s11097-011-9230-2 (doi: 10.1007/s11097-011-9230-2).
        . Phenom. Cogn. Sci. , 79 - 94
    37. 37)
      • K. Elevant .
        37. Elevant, K.: ‘Why share weather? Motivational model for ‘share weather’ online communities and three empirical studies’. Proc. 46th Hawaii Int. Conf. System Sciences, Hawaii, January 2013, pp. 781790.
        . Proc. 46th Hawaii Int. Conf. System Sciences , 781 - 790
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