Drivers’ adaptive travel behaviors towards green transportation development: a critical review
DOI:
https://doi.org/10.5604/08669546.1218793Keywords:
drivers' behaviors, adaptive behavior, green transportation, transportation emissions, fuel saving, safetyAbstract
The transportation professionals integrated the concept Green in various dimensions of transportation, such as, green vehicle, green highway. The current study has established a new dimension to green transportation, which is called Green Driver as whom substantially contributes to less emission and fuel consumption, and higher-safety. The research established the driver’s Green Adaptive Travel Behaviors (GATB), in particular, that is referred to voluntary personal and lifestyle behaviors on less energy consumption and emission. The methodology was designed into two phases. Phase one was to investigate driver’s GATBs through systematic literature review process and content analysis method. The second phase was to verify greenery value impact (GVI) of the finalized list of drivers’ GATBs through an expert input study and Grounded Group Decision Making (GGDM) method. Total twenty six (26) GATB factors have been determined. Amongst, the factor ‘F27- Dangerous overtaking’ has received the highest value (97%) followed with ‘F3- Slow once realizing bike lanes for cyclist crossing’ (91%). In contrast, ‘F4- Realize visual Obstacles to manage the speed’ and ‘F21- Brake with smooth deceleration’ has received the lowest value (77%) among other factors. Two of the initial factors;‘F5-Use traffic calming devices’ (55%), and ‘F24- Change highest possible gear’ (69%) could not reach the 70% saturation; hence, they have been dropped from the list of GATB factors. Indeed, the GATB efforts are not limited to technology and practice; but also can include education and enforcement to driving regulations in order to interconnect driver, technology, environment, and vehicle. The research concluded with an innovative technique used as the decision support tool to evaluate the greenery grade of any individual driver on committing to less emission, less fuel consumption, and higher safety in traveling. As future study, the Green driver behaviour index assessment model will be developed based on this study outputs.
References
WORLD HYDROGEN ENERGY, 2010. Conference, and Joan Ogden. Hydrogen energy, 2010, at Weinheim.
SABOOHI Y., FARZANEH H., 2009. Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption. Applied Energy, 86, pp. 1925–1932.
SHI, A., 2003. The impact of pollution pressure on global carbon dixide emissions, 1975-1996: evidence from poled cross-country data Ecol. Econ., 44, pp. 29-42.
LEE D.H., PARK S.Y., CHUL HONG J., CHOI S.J., KIM J.W., 2013. Analysis of the energy and environmental effects of green car deployment by an integrating energy system model with a forecasting model. Applied Energy, 103, pp. 306–316.
WASIAK, M., JACYNA, M., LEWCZUK, K., & KŁODAWSKI, M. (2014). Simulation model of transport system of Poland as a tool for developing sustainable transport. Archives of Transport, 31(3), 23-35.
IEA, 2011. International Energy Agency, statistics available at: www.iea.org/stats.
MCKINNON, A., 2010. Increasing fuel efficiency in road freight sector. In A. MCKINNON, S. CULLINANE, M. BROWNE, & A. WHITEING, Green Logistics (pp. 229-241). London, Philadelphia, New Delhi: Kogan Page Limited.
MCKINNON, A., ALLEN, J., & WOODBURN, A., 2010. Development of greener vehicles, aircraft and ships. In A. MCKINNON, S. CULLINANE, M. BROWNE, & A. WHITEING, Green Logistics: Improving the environmental sustainability of logistics (pp. 140-166). London, Philadelphia, New Delhi: Kogan Page Limited.
BING, X., JIANG, Y., ZHANG, C., ZHANG, Y., & LU, J., 2014. Effects of intersection lane configuration on traffic emissions. Advances in Transportation Studies, 32, pp. 23-36.
Hydén, C., & Várhelyi, A., 2000. The effects on safety, time consumption and environment of large scale use of roundabouts in an urban area: a case study. Accident Analysis & Prevention, 32(1), pp. 11-23.
DAHAM, B., ANDREWS, G. E., LI, H., PARTRIDGE, M., BELL, M. C., & TATE, J. E., 2005. Quantitying the Effects of Traffic Calming on Emissions Using on-road Measurement. No. 2005-01-1620. SAE Technical Paper, 2005.
FREY, H. C., ZHANG, K., & ROUPHAIL, N. M., 2008. Fuel use and emissions comparisons for alternative routes, time of day, road grade, and vehicles based on in-use measurements. Environmental Science & Technology, 42(7), pp. 2483–2489.
U.S. Department of Energy, 2012. Vehicle Fuel Economy and Greenhouse Gas Emissions Standards 2012. Available from http://www.afdc.energy.gov/laws/law/US/385.
IVERSEN, H., & RUNDMO, T., 2002. Personality, risky driving and accident involvement among Norwegian drivers. Personality and Individual Differences, 33(8), pp. 1251–1263.
Energy Technology Perspectives, 2012. Global contributions to emissions reductions in the 2°C scenario, by sector and technology OECD/IEA, p. 39.
The cultural Economist Data from British Petroleum, available at https://www.bp.com/content/dam/bp/pdf/Energy-economics/statistical-review-2014/BP-statistical-review-of-world-energy-2014-full-report.pdf.
The cultural Economist Data from British Petroleum, available at https://www.bp.com/content/dam/bp/pdf/Energy-economics/statistical-review-2014/BP-statistical-review-of-world-energy-2014-full-report.pdf.
DEVARAJ, A., COLBY, R., HESS, W. P., PEREA, D. E., & THEVUTHASAN, S., 2013. Role of photoexcitation and field ionization in the measurement of accurate oxide stoichiometry by laser-assisted atom probe tomography. The Journal of Physical Chemistry Letters, 4(6), pp. 993-998.
United States Energy Information Administration (U.S. EIA), 2013. International Energy Outlook 2013: Natural Gas. EIA, July 2013. Available at .http:// www.eia.gov/forecasts/ieo/nat_gas.cfm
Eurostat, 2012. International Transport Forum 2012, national statistics.
ŻOCHOWSKA, R., 2014. Selected Issues in Modelling of Traffic Flows in Congested Urban Networks. Archives of Transport, 29(1), pp. 77-89.
TERI. 2002. Defining an integrated energy strategy for India. A document for discussion, debate and action. New Delhi: Tata Energy Research Institute.
WHO, W. H. O. (2004). World report on road traffic injury prevention. Retrieved from http://www.who.int/violence_injury_prevention/publications/road_traffic/world_report/speed_en.pdf
World Health Organization - WHO, ed. (2013). "Global Status Report on Road Safety 2013: supporting a decade of action" (PDF) (official report). Geneva, Switzerland: World Health Organisation (WHO). pp. vii, 1–8, 53ff (countries), 244–251 (table A2), 296–303 (table A10). http://www.who.int/violence_injury_prevention/road_safety_status/2013/en/
ETSC, 2015. The European Transport Safety Council. Ranking EU Progress on Road Safety 2015. Brussels.
BAMBERG S. 2007, Is a Stage Model a Useful Approach to Explain Car Drivers' Willingness to Use Public Transportation? Journal of Applied Social Psychology, 37(8), pp. 1757–1783.
GRAHAM, R. E., SKIPPON, S., GARDNER, B., & ABRAHAM, C., 2011. Can we reduce car use and, if so, how? A review of available evidence. Transportation Research Part A: Policy and Practice, 45(5), pp. 401–418.
Alam, M. S., & McNabola, A., 2014. A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations. Transport Policy, 35, pp. 42-49.
DOPPELT, D., MARKOWITZ E. M., 2009. Reducing greenhouse gas emissions through behavioral change: An assessment of past research on energy use, transportation and water consumption, Climate Leadership Initiative, scholarsbank.uoregon.edu
GLANZ, K., RIMER, B. K. & LEWIS, F. M. (eds.), 2008. Health behavior and health education: theory, research, and practice. 3rd ed. ed. San Francisco: Jossey-Bass.
RIMER, B.K., 2008. Models of individuals health behaviour. In: GLANZ, K., RIMER, B. K. & VISWANATH, K. (eds.) Health behavior and health education: theory, research, and practice. 4th ed. ed. San Francisco: Jossey-Bass.
TITZE, S., GILES-CORTI, B., KNUIMAN, M.W., PIKORA, T.J., TIMPERIO, A., BULL, F.C. & VAN NIEL, K., 2010. Associations between intrapersonal and neighborhood environmental characteristics and cycling for transport and recreation in adults: Baseline results from the RESIDE study. Journal of Physical Activity and Health, 7(4), pp. 423-431.
PHONGSAVAN, P, MCLEAN, G ANDBAUMAN, A. (2007). Gender differences in influences of perceived environmental and psychosocial correlates on recommended level of physical activity among New Zealanders. Psychology of Sport and Exercise, 8(6), pp. 939-950.
CLELAND, V.J., TIMPERIO, A. & CRAWFORD, D., 2008. Are perceptions of the physical and social environment associated with mothers walking for leisure and for transport? A longitudinal study. Preventive Medicine, 47(2), pp. 188-193.
LAMIT, H. B., SHAFAGHAT, A., MAJID, M. Z., KEYVANFAR, A., AHMAD, M. H. B., & MALIK, T. A., 2013a. The Path Walkability Index (PAWDEX) Model: To Measure Built Environment Variables Influencing Residents' Walking Behavior. Advanced Science Letters, 19(10), pp. 3017-3020.
LAMIT, H., SHAFAGHAT, A., MAJID, M. Z., KEYVANFAR, A., HAMDAN, M., AHMAD, B. MALIK T. A; ROSLI B. Z.; YADOLLAHI, M., 2013b. Application of the Path Walkability Index (Pawdex) Model: A Case Study of Retail Walking Pattern Recognition in Taman University Skudai, Johor, Malaysia. Advanced Science Letters, 19 (10), pp. 3021-3024
ERICSSON, E., 2001. Independent driving pattern factors and their influence on fuel-use and exhaust emission factors. Transportation Research Part D: Transport and Environment, 6(5), pp. 325–345.
United States Green Building Council, 2008. LEED for Neighborhood Development Rating System. Available: http://www.usgbc.org/DisplayPage.aspx?CMSPageID=148. Accessed October 2015.
de DEAR, R., 2007. Adaptive comfort applications in Australia and impacts on building energy consumption. Proceedings of the Sixth International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, Sendai, Japan. pp. 28-31.
de DEAR, R., BRAGER, G., COOPER, D., 1997. Developing an adaptive model of thermal comfort and preference. ASHRAE Transactions: 104(1a):145-167.
COOK, D. J, GREENGOLD, N. L, ELLRODT, A. G, WEINGARTEN, S. R., 1997. The Relation Between Systematic Reviews and Practice Guidelines, Annals of internal medicine, 127(3), pp. 210-216.
Wolf, F. M., Shea, J.A., Albanese M.A., 2001. Toward Setting a Research Agenda for Systematic Reviews of Evidence of the Effects of Medical Education. Teaching and Learning in Medicine, 13(1), pp. 53-60.
HERMANS, E., BRIJS, T., & WETS, G., 2008. Developing a theoretical framework for road safety performance indicators and a methodology for creating a performance index. Retrieved from http://doclib.uhasselt.be/dspace/handle/1942/10796
EUROPEAN COMMISSION, 2004. Cost action 329: Models for Traffic and Safety Development and Interventions.
GIETELINK, O., PLOEG, J., DE SCHUTTER, B., & VERHAEGEN, M., 2006. Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations. Vehicle System Dynamics, 44(7), pp. 569-590.
KOLASA K., 2016. Quora, https://www.quora.com/Does-shutting-your-car-off-at-red-lights-save-fuel-or-does-starting-the-car-again-consume-more-fuel-than-you-save
DRIVECAM, 2009. Drive Cam (FAQ). Retrieved from http://www.local318uwua.com/local318.DriveCam FAQs.pdf
TRANSPORT CANADA, 2011. Adaptive Cruise Control. Retrieved from http://www.tc.gc.ca/eng/motorvehiclesafety/safevehicles-1175.htm
GREGERSEN, N. P., 1996. Young car drivers: Why are they overrepresented in traffic accidents? How can driver training improve their situation? VTI rapport, ISSN 0347-6030.
OECD, 2006. Young Drivers The Road to Safety: The Road to Safety. European Conference of Ministers of Transport.
GALSKI, T., BRUNO, R. L., & EHLE, H. T., 1993. Prediction of behind-the-wheel driving performance in patients with cerebral brain damage: A discriminant function analysis. American Journal of Occupational Therapy, 47(5), pp. 391-396
FARLAM, J., 2012. The Foot Controls. Retrieved from http://www.paulharmesdrivingschool.co.uk/uploads/1/8/0/7/18075757/2.foot_controls.pdf
IAM, 2016. Gears: Gear Lever Grip. Retrieved from http://www.iam-bristol.org.uk/index.php?option=com_content&task=view&id=222&Itemid=1
AMERICAN ASSOCIATION OF STATE HIGHWAY OFFICIALS, 2011. Safety Analyst software tool, AASHTO, Washington, DC. Retrieved from: http://www.safetyanalyst.org/
WEST WINDSOR BICYCLE AND PEDESTRIAN ALLIANCE, 2002. Building a Bicycle and Pedestrian Friendly Community. Retrieved from http://wwbpa.org/pedestrian-friendly/pedestrian-friendly-vehicle-speed/
MMUCC, 2012. C16: Type of Intersection. Retrieved from http://www.mmucc.us/
TxDOT, T., 2014. Roadway Design Manual. (R. D. S. of the D. Division, Ed.). Texas: Texas Department of Transportation.
VAN SCHOOR, O., VAN NIEKERK, J. L., & GROBBELAAR, B., 2001. Mechanical failures as a contributing cause to motor vehicle accidents—South Africa. Accident Analysis & Prevention, 33(6), pp. 713-721.
BRUNDELL-FREIJ, K., & ERICSSON, E., 2005. Influence of street characteristics, driver category and car performance on urban driving patterns. Transportation Research Part D: Transport and Environment, 10(3), pp. 213–229.
ALESSANDRINI, A., FILIPPI, F., ORECCHINI, F., & ORTENZI, F., 2006. A new method for collecting vehicle behaviour in daily use for energy and environmental analysis. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 220(11), pp. 1527-1537.
LEE, J., KIM, J., PARK, J., & BAE, C., 2012. Effect of the air-conditioning system on the fuel economy in a gasoline engine vehicle. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 227(1), pp. 66–77.
JOUMARD, R., JOST, P., & HICKMAN, J., 1995. Influence of Instantaneous Speed and Acceleration on Hot Passenger Car Emissions and Fuel Consumption. (No. 950928). SAE Technical Paper.
VAN MIERLO, J., MAGGETTO, G., VAN DE BURGWAL, E., & GENSE, R., 2004. Driving style and traffic measures-influence on vehicle emissions and fuel consumption. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 218(1), pp. 43–50.
INFRASTRUCTURE, (2015). Gross Vehicle Weight Rating.
JENKINS, R., 2015. Pedestrian Crossing Video Lesson - Pelican and Zebra Crossings.
RULES, 1992. Road Traffic (Pedestrian Crossings) 24, R 1990, revised edition 1992), (25th March).
BASFORD, L., REID S., LESTER T., 2002. Drivers' perceptions of cyclists. Prepared for Charging and Local Transport Division, Department for Transport. http://static1.1.sqspcdn.com/static/f/84868/1264676/1200217906877/TRL549.pdf?token=cByiUiZmoInds7U18lv0VrZIOzs%3D
CHANG, H. J., BURKE, A. E., & GLASS, R. M., 1999. Older Drivers and Cognitive Impairment. JAMA, 281(16), pp. 1660.
RAEDT, R., & PONJAERT‐KRISTOFFERSEN, I., 2000. The relationship between cognitive/neuropsychological factors and car driving performance in older adults. Journal of the American Geriatrics Society, 48(12), pp. 1664-1668.
LOCKWOOD, I. M., 1997. ITE traffic calming definition. Institute of Transportation Engineers. ITE Journal, 67(7), pp. 22.
VERROIOS, V., EFSTATHIOU, V., & DELIS, A., 2011, June. Reaching available public parking spaces in urban environments using ad hoc networking. In Mobile Data Management (MDM), 2011 12th IEEE International Conference on (Vol. 1, pp. 141-151). IEEE.
MOINI, N., HILL, D., & SHABIHKHANI, R., 2013. Impact assessments of on-street parking guidance system on mobility and environment. In Transportation Research Board 92nd Annual Meeting. Transportation Research Board, 2013.
US Department of Transportation-DOT, 2016, Designing Sidewalks and Trails for Access Part II of II: Best Practices Design Guide, http://www.fhwa.dot.gov/environment/bicycle_pedestrian/publications/sidewalk2/sidewalks209.cfm
DEHAAN, P., 2011. The end all verdict to A/C vs. windows down! https://blog.gasbuddy.com/posts/The-end-all-verdict-to-A-C-vs-windows-down/1715-457041-563.aspx
BEASLEY, J. E., 1983. Route first - Cluster second methods for vehicle routing. Omega, 11(4), pp. 403-408
KIRCHNER, C., 2014. Lane Keeping Assist Explained - Motor Review. Retrieved December 22, 2015, from http://motorreview.com/lane-keeping-assist-explained/
TOYOTA. (2015). Toyota Global Site | Technology File. Retrieved December 22, 2015, from http://www.toyota-global.com/innovation/safety_technology/safety_technology/technology_file/active/lka.html
Blanco, L., & Lorenzetti, L., 2004. Automatic activation of an in-car video recorder using a GPS speed signal. U.S. Patent Application 10/941,769, filed September 15, 2004.
DEY, P. P., CHANDRA, S., & GANGOPADHAYA, S., 2006. Speed Distribution Curves under Mixed Traffic Conditions. Journal of transportation engineering, 132(6), pp. 475-481.
AAOS, 2011. Advanced Emergency Care and Transportation of the Sick and Injured. American Academy of Orthopaedic Surgeons. Jones & Bartlett Publishers. Jones & Bartlett Publishers.
MVA (2015). Driver Self Assessment Tools.
WARDLAW, C., 2014. Car safety: Collision warning systems move into the mainstream-NY Daily News. Daily News. Retrieved from http://www.nydailynews.com/autos/car-safety-collision-warning-systems-move-mainstream-article-1.1822469
BORCH, K. H., 2015. The Economics of Uncertainty. (PSME-2) (Vol. 2). Princeton University Press.
THE ART CAREER PROJECT, 2014. What is Automobile Design? Retrieved from http://www.theartcareerproject.com/automobile-design-career/584/
GIETELINK, O., PLOEG, J., DE SCHUTTER, B., & VERHAEGEN, M., 2006. Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations. Vehicle System Dynamics, 44(7), pp. 569-590.
DRIVING TEST TIPS, 2016. How To Use Car Brakes And Braking Techniques.
IKEYA, S., 2004. Gear shift lever operating mechanism. Google Patents. Retrieved from http://www.google.com/patents/US6820515
HANCOCK, P. A., MOULOUA, M., & SENDERS, J. W., 2009. On the philosophical foundations of the distracted driver and driving distraction. CRC Press, Boca Raton, USA.
HARRIS, P. B., & HOUSTON, J. M., 2010. Recklessness in context Individual and situational correlates to aggressive driving. Environment and Behavior, 42(1), pp. 44-60.
LAMIT, H., SHAFAGHAT, A., MAJID, M. Z., KEYVANFAR, A., AHMAD, M. H. B., & MALIK, T. A., 2013c. Grounded Group Decision Making (GGDM) Model. Journal of Advanced Science Letters, 19(10), pp. 3077-3080.
GREEN, K. C., ARMSTRONG, J. S., & GRAEFE, A. (2007). Methods to elicit forecasts from groups: Delphi and prediction markets compared. Foresight, 8, pp. 17–20.
HILBERT, M., MILES, I., & OTHMER, J. (2009). Foresight tools for participative policy-making in inter-governmental processes in developing countries: Lessons learned from the eLAC Policy Priorities Delphi. Technological Forecasting and Social Change, 76(7), pp. 880-896.
DETR,2005. Department of the Environment, Transport and the Regions, 2005. Traffic Calming on Major Roads, UK.
HÖGLUND, P. G., & NIITTYMÄKI, J., 1999. Estimating vehicle emissions and air pollution related to driving patterns and traffic calming. In Submitted paper for the conference Urban Transport Systems, Lund, Sweden (Vol. 7).
KROLL, J., HAUSNER, M., & SEEBACHER, R., 2014. Mission CO2 reduction. In 10th Schaeffler Symposium: Solving the Powertrain Puzzle. (Schaeffler Technologies Gmbh & Co. KG, 2014) (pp. 56-77).
BECKX, C., PANIS, L. I., DE VLIEGER, I., & WETS, G., 2007. Influence of gear-changing behaviour on fuel use and vehicular exhaust emissions. In Highway and Urban Environment (pp. 45-51). Springer Netherlands.
HASSAN, S.A., CHE PUAN, O., MASHROS, N., ABDUL SUKOR, N.A., 2014. Factors affecting overtaking behaviour on single carriageway road: case study at Jalan Kluang-Kulai. Jurnal Teknologi, 71(3), pp. 87-91.
CLARKE, D. D., WARD, P., BARTLE, C., & TRUMAN, W., 2005. An in-depth study of work-related road traffic accidents. Road Safety Research Report, (58). Department for Transport, London.
TANG T-Q, XU K-W, YANG S-C, DING C., 2016. Impacts of SOC on car-following behavior and travel time in the heterogeneous traffic system. Physica A: Statistical Mechanics and its Applications, 441, pp. 221-229.
KEYVANFAR, A., SHAFAGHAT, A., ABD MAJID, M.Z., BIN LAMIT, H., WARID HUSSIN, M., BINTI ALI, K.N., DHAFER SAAD, A., 2014. User satisfaction adaptive behaviors for assessing energy efficient building indoor cooling and lighting environment. Renewable and Sustainable Energy Reviews, 39, pp. 277-295.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Archives of Transport journal allows the author(s) to hold the copyright without restrictions.
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
