Analyzing Pedestrian Perceptions towards Traffic Safety Using Discrete Choice Models

Dewa Made Priyantha Wedagama, Sahan Bennett, Dilum Dissanayake

Abstract


Policymakers and national, regional, and local authorities will require to cater to growing demands for public services and facilities, including the implementation of better and safer infrastructure. This should be conducted focusing on the urban poor and other vulnerable groups for their basic needs for transportation, housing, education, health care, and, more importantly, a safe and liveable urban environment. Meanwhile, pedestrians are often the most vulnerable road users in society, so investigating pedestrian accidents' causes and consequences is essential. Like neighboring countries in Asia, Indonesia experiences a high pedestrian fatality rate. This study investigates pedestrian perceptions toward traffic safety and identifies novel measures to improve pedestrian safety, with a particular focus on developing cities. Data collection involved self-reporting using questionnaires by respondents based in Denpasar, the capital city of Bali Province. Binary and multinomial logit models were estimated using pedestrian perception data to identify the factors that influence pedestrian accidents. This study found that reckless or careless driving/riding contributed significantly to pedestrian accidents at both night and day times. Besides, junctions and pedestrian crossings were perceived to be dangerous for pedestrians compared to other road infrastructure such as footpaths. The outcome of the study also reveals that motorcycles will be more influential for pedestrian accidents than cars. To reflect upon the findings, some countermeasures for enhancing pedestrian safety in Denpasar were discussed with attention to engineering, policy, enforcement, and education perspectives.


Keywords


binary logit; multinomial logit; pedestrian; perceptions; traffic safety.

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References


United Nations. (2018) World Urbanization Prospects: The 2018 Revision. [Online]. Available: https://population.un.org/wup/publications/files/wup2018-keyfacts.pdf.

R.E. Cookson, D.C. Richards, and R.W. Cuerden, “The characteristics of pedestrian road traffic accidents and the resulting injuries,†TRL Insight Report INS009, 2011.

J. Aryaija, D. Dissanayake, D.M.P. Wedagama, and R.N. Bird, “Land use factors and the risk for child pedestrians,†Journal of the Eastern Asia Society for Transportation Studies., vol. 7, pp. 2814-2829, Dec. 2007.

D. Dissanayake, J. Aryaija, and D.M.P. Wedagama, “Modelling the effects of land use and temporal factors on child pedestrian casualties,†Accident Analysis and Prevention., vol. 41, no.5, pp. 016– 1024, Sept. 2009.

H. Wang, D.C. Schwebel, D. Tan, L. Shi, and L. Miao, “Gender differences in children's pedestrian behaviors: developmental effects,†Journal of Safety Research., vol. 67, pp. 127-133, Dec. 2018.

E. Papadimitriou, A. Theofilatos, G. Yannis, G.M. Sardi, and R. P. J Freeman, “Road safety attitudes and perceptions of pedestrians in Europe,†Procedia-Social and Behavioural Sciences., vol. 48, pp. 2490-2900, July, 2012.

S. Marisamynathan, and P. Vedagiri, “Estimation of pedestrian safety index value at signalised intersections under mixed traffic conditions,†Transportation in Developing Economies., vol. 4, no. 5, pp. 1-11, April, 2018.

I. Mateo-Babiano, “Pedestrian’s needs matter: examining Manila’s walking environment,†Transport Policy., vol. 45, pp.107-115, Jan, 2016.

H.M. Kim, and I. Mateo-Babiano, “Pedestrian crossing environments in an emerging Chinese city: vehicle encountering, seamless walking, and sensory perception perspectives,†Sustainability., vol. 10, no. 7, pp. 1-17, June, 2018.

J. Speck, Walkable City: How Downtown Can Save America, One Step at A Time. New York, USA: Farrar, Straus and Giroux, 2012.

World Health Organization, Global Status Report on Road Safety. Geneva, Switzerland: World Health Organization, 2015.

E. Howard, Road Casualties in Indonesia: The Silent Epidemic. Jakarta, Indonesia: Indonesia Infrastructure Initiative (INDII), SMEC International, 2015.

G. Yannis, G. Kanllaidis, J. Dimitropoulos, and N. Muhlrad, “Assessment of pedestrian safety measures in Europe,†ITE Journal., vol. 77, no. 12, pp. 40-48, Dec, 2007.

M.A. Granie, “Gender differences in preschool children’s declared and behavioural compliance with pedestrian rules,†Transportation Research Part F., vol.10, pp. 371-382, July, 2007.

I.M. Bernhoft, G. Carstensen, “Preferences and behaviours of pedestrian and cyclists by age and gender,†Transportation Research Part F., vol.11, pp. 83-95, Mar, 2008.

H. Guo, F. Zhao, W. Wang, Y. Zhou, Y. Zhang, and G. Wets, “Modeling the perceptions and preferences of pedestrians on crossing facilities,†Discrete Dynamics in Nature and Society., Article ID 949475, pp. 1-8, Mar, 2014.

G.S. Tulu, S. Washington, M.J. King, and Md. M. Haque, “Why are pedestrian crashes so different in developing countries? a review of relevant factors in relation to their impact in Ethiopia,†in 36th Australasian Transport Research Forum (ATRF): Transport and the New World City, 2013, pp. 1-18.

P.R. Anciaes, and P. Jones, “Estimating preferences for different types of pedestrian crossing facilities,†Transportation Research Part F: Traffic Psychology and Behaviour., vol. 52, pp. 222–237, Jan, 2018.

D. Kahlert, and W. Schlicht, “Older people’s perceptions of pedestrian friendliness and traffic safety: an experiment using computer-simulated walking environments,†International Journal of Environment Research and Public Health., vol. 12, pp. 10066-10078, Aug, 2015.

S.A. Hanan, N. F. Said, A. A. M. Kamel, and S. A. F. C. Amil, “Factors that influences pedestrian intention to cross a road while using mobile phone,†International Journal of Economics and Financial Issues., vol. 5, pp. 116-121, Aug, 2015.

P. Ulleberg, and T. Rundmo, “Personality, attitudes and risk perception as predictors of risky driving behaviour among young drivers,†Safety Science., vol. 41, pp. 427–443, June, 2003.

R. Williams. (2018) Multinomial Logit Models – Overview. [Online] Available: https://www3.nd.edu/~rwilliam/stats3/Mlogit1.pdf

S.P. Washington, M. G. Karlaftis, and F. L. Mannering, Statistical and Econometric Methods for Transportation Data Analysis. New York, USA: Chapman & Hall, 2003.

C.J. O’Donnel, and D. H. Connor, “Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice,†Accident Analysis and Prevention., vol. 28, no. 6, pp. 739 – 753, Nov, 1996.

J.A. Boni, T. R. Chowdhury, and S. S. Das, “A Study on causes of road accidents at Dhaka to Comilla highway,†Asian Journal of Innovative Research in Science, Engineering and Technology (AJIRSET)., vol. 1, no. 9, pp. 6-13, Oct, 2016.

X. Yao, J. Guo, C. Ren, and X. Wang, “The Influence of urban road lighting on pedestrian safety,†International Journal of Engineering Innovation & Research., vol. 7, no. 2, pp. 136-138, Mar, 2018.

A.H. Ariffin, Z. M. Jawi, M. H. Isa, K.A.A. Kassim, and W. S. Voon, “Pedestrian casualties in road accidents-Malaysia perspective,†in 1st MIROS Road Safety Conference (ROSCON), 2010, pp. 280-289.

S.P. Santosa, A.I. Mahyuddin, and F.G. Sunoto, “Anatomy of injury severity and fatality in Indonesian traffic accidents,†Journal of Engineering and Technological Sciences., vol. 49, no. 3, pp. 412-422, Aug, 2017.

A. Fransman, B. Richter, and S. Raath, “An interactive computer program for South African urban primary school children to learn about traffic signs and rules,†A Journal of Injury and Violence Prevention., vol. 16, no. 1, pp. 57-67, Oct, 2018.




DOI: http://dx.doi.org/10.18517/ijaseit.10.6.12662

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