Pedestrian Crossing Behavior Model Based on Human Factor. Case Study: Shah Alam City, Malaysia.
Keywords:pedestrian crossing, pedestrian crossing behaviour, human factor, pedestrian behaviour
The study aimed to develop models for pedestrian crossings behaviour based on road traffic and human factors. A questionnaire distributed to 663 Shah Alam pedestrians. Respondents were asked to fill out a questionnaire on their perceptions of risks and attitudes concerning walking and road crossings. The modelling analysis showed that there is a significant relationship between the Human Factor and the Crossing Behavior, this study identified two components of the Human Factor that influenced the behaviour of the pedestrian crossing, namely the "risk-taker" and the "rule-follower." Analysis of pedestrian crossings behaviour useful to evaluate the implementation of new pedestrian crossing environments.
Ab. Rahman R, Thani S.K.S.O, & Roslan R. (2019). Identifying Characters of Good Street for Greater Urban Quality of Life. Procedia - Asian Journal of Quality of Life (AjQoL) Vol 4 No 15.
Azmi, D.I., & Abdul Karim, H.(2018) Promoting Sustainable Urban Neighborhood towards Walkability., Asian Journal of Environment -Behaviour Studies (ajE-Bs), 3(8)167-175.
C. Fornell, and D. F. Larcker (1981) Evaluating Structural Equation Models With Unobservable Variables And Measurement Error., Journal of Marketing Research (18:1)39-50.
Chu X., Guttenplan M., and Baltes M. R.,(2003) “Why people cross where they do: the role of street environment,” Transportation Research Record, no. 1878, pp. 3–10.
Diaz, E.M. (2002). Theory of planned behaviour and pedestrians’ intentions to violate traffic regulations. Transportation Research Part F 5, 169– 175.
Elvik R., Sorensen M. W. J. and Naevestad T.-O., (2013). “Factors influencing safety in a sample of marked pedestrian crossings selected for safety inspections in the city of Oslo,” Accident Analysis and Prevention, vol. 59, pp. 64–70.
Evans, D., Norman P. (1998). Understanding pedestrians' road crossing decisions: an application of the theory of planned behaviour. Health Education Research 13 (4), pp. 481-489.
Fuller R., Santos J.A. (2002). Human Factors for Highway Engineers. Elsevier Science, UK.
Nassiri H. and Sajed Y. (2009), “Using a logit model to predict pedestrian crossing behaviour based upon vehicle speed and headway on the multi-lane street," in Proceedings of the 88th Annual Meeting of the Transportation Research Board, Washington DC, USA.
Papadimitriou E., Theofilatos A., Yannis G. (2013). Patterns of pedestrian attitudes, perceptions and behaviour in Europe. Safety Science 53, pp. 114-122.
Shriver K,(1997). "Influence of environmental design on pedestrian travel behaviour in four Austin neighbourhoods," Transportation Research Record, no. 1578, pp. 64–75.
Yagil, D. (2000). Beliefs, motives and situational factors related to pedestrians' self-reported behaviour at signal-controlled crossings. Transportation Research Part F: Traffic Psychology and Behaviour 3 (1), 1–13.
Yannis G., Golias J., and Papadimitriou E., (2007). "Modeling crossing behaviour and accident risk of pedestrians," Journal of Transportation Engineering, vol. 133, no. 11, pp. 634–644
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eISSN: 2398-4287 © Year. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.