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Modifying pedestrian behaviour

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  • Keegan, Owen
  • O'Mahony, Margaret

Abstract

The paper reports on research using a new type of pedestrian waiting countdown timer to influence pedestrian behaviour at signalised pedestrian crossings in Dublin. The aim was to evaluate the impact of the timers on pedestrian crossing behaviour and in particular to see if it had any impact on the number of illegal crossings (during red man--do not walk signal). The timers inform the pedestrian how many seconds they have to wait until the green man appears. Two surveys were used to evaluate the impact: an attitude survey to evaluate the perception of the users and a video survey to estimate quantitatively the impacts on pedestrian behaviour but also to evaluate the awareness levels of the pedestrians towards the countdown timers. Some of the results include observance of more compliant behaviour by females and that pedestrians tend to overestimate their waiting time. Before the timers were installed 65% of pedestrians started to cross during the green man and amber phases but this rose to 76% after the timers were installed.

Suggested Citation

  • Keegan, Owen & O'Mahony, Margaret, 2003. "Modifying pedestrian behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 889-901, December.
    • Handle: RePEc:eee:transa:v:37:y:2003:i:10:p:889-901
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    References listed on IDEAS

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    1. Antonides, G. & Verhoef, P.C., 2000. "Consumer Perception and Evaluation of Waiting Time," ERIM Report Series Research in Management ERS-2000-35-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    Cited by:

    1. Ali SOLTANI & Samaneh MOZAYENI, 2013. "Factors Affecting The Citizen’S Trends To Use The Pedestrian Bridges In Iran," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 5(4), pages 5-18, December.
    2. Li, Baibing, 2013. "A model of pedestrians’ intended waiting times for street crossings at signalized intersections," Transportation Research Part B: Methodological, Elsevier, vol. 51(C), pages 17-28.
    3. Yang, Jianguo & Deng, Wen & Wang, Jinmei & Li, Qingfeng & Wang, Zhaoan, 2006. "Modeling pedestrians' road crossing behavior in traffic system micro-simulation in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 280-290, March.
    4. Rahul, T.M. & Manoj, M., 2020. "Categorization of pedestrian level of service perceptions and accounting its response heterogeneity and latent correlation on travel decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 40-55.
    5. Anastasiadou, K. & Vougias, S., 2019. "“Smart” or “sustainably smart” urban road networks? The most important commercial street in Thessaloniki as a case study," Transport Policy, Elsevier, vol. 82(C), pages 18-25.
    6. Frei, Fernando, 2006. "Sampling mobility index: Case study in Assis--Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(9), pages 792-799, November.
    7. Lachapelle, Ugo & Cloutier, Marie-Soleil, 2017. "On the complexity of finishing a crossing on time: Elderly pedestrians, timing and cycling infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 54-63.
    8. Li, Baibing, 2014. "A bilevel model for multivariate risk analysis of pedestrians’ crossing behavior at signalized intersections," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 18-30.

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