The Influence of Traffic Signal Solutions on Self-Reported Road-Crossing Behavior

  1. Di Stasi, Leandro Luigi
  2. Megías Robles, Alberto
  3. Cándido Ortiz, Antonio
  4. Maldonado López, Antonio
  5. Catena Martínez, Andrés
Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2014

Volumen: 17

Páginas: 1-7

Tipo: Artículo

DOI: 10.1017/SJP.2014.105 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Resumen

Injury to pedestrians is a major safety hazard in many countries. Since the beginning of the last century, modern cities have been designed around the use of motor vehicles despite the unfavourable interactions between the vehicles and pedestrians. This push towards urbanization resulted in a substantial number of crashes and fatalities involving pedestrians every day, all over the world. Thus, improving the design of urban cities and townships is a pressing issue for modern society. The study presented here provides a characterization of pedestrian safety problems, with the emphasis on signalized crosswalks (i.e. traffic signal) design solutions. We tested the impact of seven different traffic light configurations (steady [green, yellow, and red], flashing [green, yellow, and red], and light off) on pedestrian self-reported road-crossing behavior, using a 11-point scale -ranging from 0 (�I never cross in this situation�) to 10 (�I always cross in this situation�). Results showed that mandatory solutions (steady green vs. steady red) are the best solutions to avoid unsafe pedestrian behaviors while crossing controlled intersections (frequency of crossing: Mgreen = 9.4 ± 1 vs. Mred = 2.6 ± 2). These findings offer important guidelines for the design of future traffic signals for encouraging a pedestrian/transit-friendly environment.

Referencias bibliográficas

  • Austroads (1996). Urban speed management in Australia, AP 118. Sydney, Australia: Austroads.
  • Avenoso A., & Beckmann J. (2005). The safety of vulnerable road users in the southern, eastern, and central European countries (The "SEC Belt"). Brussels, Belgium: European Transport Safety Council.
  • Avineri E., Shinar D., & Susilo Y. O. (2012). Pedestrians' behavior in cross walks: The effects of fear of falling and age. Accident Analysis & Prevention, 44, 30-34. http://dx.doi.org/10.1016/j.aap.2010.11.028
  • Di Stasi L. L., Megías A., Cándido A., Maldonado A., & Catena A. (2012). Congruent visual information improves traffc signage. Transportation Research Part F: Traffc Psychology and Behavior, 15, 438-444. http://dx.doi.org/10.1016/j.trf.2012.03.006
  • Dirección General de Tráfco (DGT). (2013). Regulación semafórica. Madrid, Spain: Ministerio del Interior.
  • Dula C. S., & Geller S. (2007). Creating a total safety traffc culture. In AAA Foundation for Traffc Safety (Ed.), Improving traffc safety culture in the United States: The journey forward (pp. 177-199). Washington, DC: AAA Foundation for Traffc Safety.
  • Edelson N. (2011). Inclusivity as an Olympic event at the 2010 Vancouver Winter Games. Urban Geography, 32, 804-822.
  • Ek Å., Akselsson R., Arvidsson M., & Johansson C. R. (2007). Safety culture in Swedish air traffc control. Safety Science, 45, 791-811. http://dx.doi.org/10.1016/j.ssci.2006.08.017
  • EuroTest Pedestrian Crossings Assessment. (2010). EuroTest 2010-Pedestrian Crossings Assessment 2010. Brussels, Belgium: EuroTest Secretariat. Retrieved from http://www.eurotestmobility.com/
  • Feng J., & Donmez B. (2013). Designing feedback to induce safer driving behaviors: a literature review and a model of driver-feedback interaction. Technical report submitted to Toyota Collaborative Safety Research Center (CSRC). Human Factors and Applied Statistics Laboratory website (University of Toronto). Retrieved from http://hfast.mie.utoronto.ca/Publications/CSRC-UofT-Report-Literature-review-and-driver-feedback-model.pdf
  • Factor R., Prashker J. N., & Mahalel D. (2012). The fashing green light paradox. Transportation Research Part F: Traffc Psychology and Behavior, 15, 279-288. http://dx.doi.org/10.1016/j.trf.2012.01.003
  • Gehlert T., Hagemeister C., & Özkan T. (2014). Traffc safety climate attitudes of road users in Germany. Transportation Research Part F: Traffc Psychology and Behavior. http://dx.doi.org/10.1016/j.trf.2013.12.011
  • Goldenbeld C., Twisk D., & de Craen S. (2004). Short and long term effects of moped rider training: A feld experiment. Transportation Research Part F: Traffc Psychology and Behavior, 7, 1-16. http://dx.doi.org/10.1016/j.trf.2003.09.003
  • Gitelman V., Balasha D., Carmel R., Hendel L., & Pesahov F. (2012). Characterization of pedestrian accidents and an examination of infrastructure measures to improve pedestrian safety in Israel. Accident Analysis & Prevention, 44, 63-73. http://dx.doi.org/10.1016/j.aap.2010.11.017
  • Hamilton-Baillie B. (2008). Shared space: Reconciling people, places and traffc. Built environment, 34, 161-181. http://dx.doi.org/10.2148/benv.34.2.161
  • Harkey D. L., Srinivasan R., Baek J., Council F. M., Eccles K. A., Lefer N. X., Bonnesson J. (2008). Accident modifcation factors for traffc engineering and ITS improvements. National Cooperative Highway Research Program (NCHRP) Report, number 617. Washington, D.C.: Transportation Research Board.
  • Harrell W. A. (1991). Factors infuencing pedestrian cautiousness in crossing streets. The Journal of Social Psychology, 131, 367-372. http://dx.doi.org/10.1080/00224545.1991.9713863
  • Hatoyama K., Shimomura S., & Ieda H. (2003). Pedestrian-oriented intersection design by the concept of spacio-temporal informativity toward effective cycle time shortening. Journal of the Eastern Asia Society for Transportation Studies, 5, 2565-2580.
  • King M. J., Soole D., Ghafourian A. (2009). Illegal pedestrian crossing at signalized intersections: Incidence and relative risk. Accident Analysis and Prevention 41, 485-490. http://dx.doi.org/10.1016/j.aap.2009.01.008
  • Lange F., Haiduk M., Schwarze A., & Eggert F. (2011). The dark side of stimulus control-Associations between contradictory stimulus confgurations and pedestrians' and cyclists' illegal street crossing behavior. Accident Analysis & Prevention, 43, 2166-2172
  • Lee J. Y. S., & Lam W. H. K. (2008). Simulating pedestrian movements at signalized crosswalks in Hong Kong. Transportation Research Part A: Policy and Practice, 42, 1314-1325. http://dx.doi.org/10.1016/j.tra.2008.06.009
  • Li Y., & Fernie G. (2010). Pedestrian behavior and safety on a two-stage crossing with a center refuge island and the effect of winter weather on pedestrian compliance rate. Accident Analysis & Prevention, 42, 1156-1163. http://dx.doi.org/10.1016/j.aap.2010.01.004
  • Lipovac K., Vujanic M., Maric B., & Nesic M. (2013). Pedestrian behavior at signalized pedestrian crossings. Journal of Transportation Engineering, 139, 165-172. http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000491
  • Martin A. (2006). Factors infuencing pedestrian safety: A literature review. Wokingham, UK: Transport Research Laboratory. Retrieved from http://www.pedestrians-int.org
  • Mazzone F., Pagliari E., & Aversa A. (2011, May). EPCA-European Pedestrian Crossings Assessment. Paper presented at the PRI Meeting: Traffc Safety in a Developing Economy. Abuja, Nigeria.
  • Megías A., Maldonado A., Catena A., Di Stasi L. L, Serrano J., & Cándido A. (2011). Modulation of attention and urgent decisions by affect-laden roadside advertisement in risky driving scenarios. Safety Science, 49, 1388-1393. http://dx.doi.org/10.1016/j.ssci.2011.06.001
  • National Highway Traffc Safety Administration. (2003). Pedestrian roadway fatalities. Report No. DOT HS 809 456. Springfeld, VA: National Technical Information Service.
  • Newton C., Mussa R. N., Sadalla E. K., Burns E. K., & Matthias J. (1997). Evaluation of an alternative traffc light change anticipation system. Accident Analysis & Prevention, 29, 201-209. http://dx.doi.org/10.1016/S0001-4575(96)00073-5
  • Paterson A. (2005). Understanding markets in Afghanistan: A study of the market in second-hand cars. Case Study Series. Kabul, Afghanistan: Afghanistan Research and Evaluation Unit. Retrieved from www.areu.org.af
  • Quistberg D. A., Koepsell T. D., Boyle L. N., Miranda J. J., Johnston B. D., & Ebel B. E. (2014). Pedestrian signalization and the risk of pedestrian-motor vehicle collisions in Lima, Peru. Accident Analysis & Prevention, 70, 273-281. http://dx.doi.org/10.1016/j.aap.2014.04.012
  • Ren G., Zhou Z., Wang W., Zhang Y., & Wang W. (2011). Crossing behaviors of pedestrians at signalized intersections. Transportation Research Record: Journal of the Transportation Research Board, 2264, 65-73.
  • Short J. R., & Pine-Peralta L. M. (2010). No accident: Traffc and pedestrians in the modern city. Mobilities, 5, 41-59. http://dx.doi.org/10.1080/17450100903434998
  • Stanić B., Vukanovic S., & Osoba M. (2005). New street scene for pedestrians and drivers. Transport, 20, 248-256.
  • Sueur C., Class B., Hamm C., Meyer X., & Pelé M. (2013). Different risk thresholds in pedestrian road crossing behavior: A comparison of French and Japanese approaches. Accident Analysis & Prevention, 58, 59-63. http://dx.doi.org/10.1016/j.aap.2013.04.027
  • Tom A., & Granié M. A. (2011). Gender differences in pedestrian rule compliance and visual search at signalized and unsignalized crossroads. Accident Analysis & Prevention, 43, 1794-1801. http://dx.doi.org/10.1016/j.aap.2011.04.012
  • Transportation Association of Canada (2008). An informational report on pedestrian countdown signals (PCS). Ottawa, Canada: Author. Retrieved from: http://library.tac-atc.ca/publications/Project-253---Optional-Use-of-Pedestrian-Countdown-Timers.PDF
  • UK Department of Transport (1995). Local transport Note 2/95. The design of pedestrian crossing. London, UK: The Stationery Offce.
  • van Hoof J., de Lange R., & Wismans J. S. (2003). Improving pedestrian safety using numerical human models. Stapp Car Crash Journal, 47, 401-436.
  • Williams A. (2013). Pedestrian Traffc Fatalities by State. Washington, DC: Governors Highway Safety Association.
  • Williams J. R. (2008). The Declaration of Helsinki and public health. Bulletin of the World Health Organization, 86, 650-652.
  • Yagil D. (2000). Beliefs, motives and situational factors related to pedestrians' self-reported behavior at signal-controlled crossings. Transportation Research Part F: Traffc Psychology and Behavior, 3, 1-13.
  • Yang J., Deng W., Wang J., Li Q., & Wang Z. (2006). Modeling pedestrians' road crossing behavior in traffc system micro-simulation in China. Transportation Research Part A, 40, 280-290.
  • Xiao M., Zhang L., Hou Y., & Chuan S. (2013). An adaptive pedestrians crossing signal control system for intersection. Procedia-Social and Behavioral Sciences, 96, 1585-1592. http://dx.doi.org/10.1016/j.sbspro.2013.08.180
  • Zeedyk M. S., Wallace L., Carcary B., Jones K., & Larter K. (2001). Children and road safety: Increasing knowledge does not improve behavior. British Journal of Educational Psychology, 71, 573-594. http://dx.doi.org/10.1348/000709901158686
  • Zegeer C. V., & Bushell M. (2012). Pedestrian crash trends and potential countermeasures from around the world. Accident Analysis & Prevention, 44, 3-11. http://dx.doi.org/10.1016/j.aap.2010.12.007
  • Zegeer C. V., Nabors D., Gelinne D., Lefer N., & Bushell M. (2010). FHWA pedestrian program strategic plan. Draft fnal report. Washington, DC: Federal Highway Administration.
  • Zhao Y., Rosala G. F., Campean I. F., & Day A. J. (2010). A response surface approach to front-car optimisation for minimising pedestrian head injury levels. International Journal of Crashworthiness, 15, 143-150. http://dx.doi.org/10.1080/13588260903094392