Implications of Traffic Mix on Pedestrian Roads Safety in Urban Built Environment

Authors

  • PAULO KITOSI Paulo Samweli Kitosi he is an Urban Planner, Urban Designer & GIS expert. He is currently working at the Ministry of lands, Housing and Human Settlement Development. He hold two postgraduate degrees, Masters of Architecture (Urban Design) in 2016 from Ardhi University, Masters of Science in Geographical Information System (Msc. GIS) 2023 from University of Dar es Salaam, and Bachelor of Science in Urban and Regional Planning in 2014

DOI:

https://doi.org/10.48346/IMIST.PRSM/ajlp-gs.v6i4.39560

Keywords:

Roads Users’ Behavior, Pedestrian Safety, Urban Built Environment

Abstract

Context and background:

 

Cities in developing world are experiencing rapid urbanization characterized by rapid population growth. Tanzania like many other most of urban areas face poor public transport which force city dwellers to use alternative transport including walking. With lack of pedestrian infrastructures like segregated walkways, roads accidents create a great challenge for pedestrian safety.

Goal and Objectives:

This paper attempts to explore the influence of mixed traffic on occurrence of pedestrian related roads accidents in urban built environments.

Methodology:

Analysis of road accidents statistics and interview of road users and road traffic police were done in order to generate the link between mixed traffic and roads accidents for pedestrians

Results:

The results indicates that, the majority of road accidents involve a pedestrian with other traffic such as vehicles, motorcycles, buses, Lorries but not pedestrians themselves.

 This paper concludes that most of the road’s accidents for the pedestrian are the result of conflict or collision with other road users. Road accident statistics indicate that most of the pedestrian road accidents involve cars and pedestrians at 26%, pedestrians and motorcycles at 39%, pedestrians and buses at 26%, pedestrians and bicycles at 4% and pedestrians and three-wheelers at 5.1%. This indicates that the existing traffic mix situation increases the danger of the pedestrian to be involved in road accidents. The paper also concludes that the violation of regulation by different roads users impacted the safety of pedestrian. 

Author Biography

PAULO KITOSI, Paulo Samweli Kitosi he is an Urban Planner, Urban Designer & GIS expert. He is currently working at the Ministry of lands, Housing and Human Settlement Development. He hold two postgraduate degrees, Masters of Architecture (Urban Design) in 2016 from Ardhi University, Masters of Science in Geographical Information System (Msc. GIS) 2023 from University of Dar es Salaam, and Bachelor of Science in Urban and Regional Planning in 2014

Urban PlannerUrban Designer & GIS expert.

References

Albalate, D. and Fernández-Villadangos, L., 2009. Exploring determinants of urban motorcycle accident severity: the case of Barcelona.

Arroyo, R., Mars, L. and Ruiz, T., 2018. Perceptions of Pedestrian and Cyclist Environments, Travel Behaviors, and Social Networks. Sustainability, 10(9), p.3241.

Beitel, D., Stipancic, J., Manaugh, K. and Miranda-Moreno, L., 2018. Assessing safety of shared space using cyclist-pedestrian interactions and automated video conflict analysis. Transportation research part D: transport and environment, 65, pp.710-724.

Bingham, C.R., Shope, J.T. and Zhu, J., 2008. Substance-involved driving: predicting driving after using alcohol, marijuana, and other drugs. Traffic injury prevention, 9(6), pp.515-526.

Chang, C.M. and Rodriguez, E.D., 2019. Vulnerable Road User Safety Enhancements for Transportation Asset Management.

Chimba, D., Emaasit, D., Cherry, C.R. and Pannell, Z., 2014. Patterning demographic and socioeconomic characteristics affecting pedestrian and bicycle crash frequency (No. 14-0600).

Chong, S., Poulos, R., Olivier, J., Watson, W.L. and Grzebieta, R., 2010. Relative injury severity among vulnerable non-motorised road users: comparative analysis of injury arising from bicycle–motor vehicle and bicycle–pedestrian collisions. Accident Analysis & Prevention, 42(1), pp.290-296.

Eluru, N., Bhat, C.R. and Hensher, D.A., 2008. A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. Accident Analysis & Prevention, 40(3), pp.1033-1054.

Gonzales, M.M., Dickinson, L.M., DiGuiseppi, L.M., Lowenstein, S.R., 2005. Student drivers: A study of fatal motor vehicle crashes involving 16-year-old drivers. Ann. Emerg. Med. 45 (2), 140–146.

Grembek, O., Kurzhanskiy, A., Medury, A., Varaiya, P. and Yu, M., 2019. Making intersections safer with I2V communication. Transportation Research Part C: Emerging Technologies, 102, pp.396-410.

Guerra, E., Dong, X.S., Kondo, M., Artavia, L., Benitez, J., Berman, J., Gold, I., Kearney, J., Li, M., Lin, L. and Shen, D., 2019. The Built Environment and Pedestrian Safety in the Philadelphia Region.

Handy SL, Boarnet MG, Ewing R, Killingsworth RE. How the built environment affects physical activity: views from urban planning. American Journal of Preventive Medicine. 2002; 23:64–73.

Herrstedt, L., 1992. Traffic calming design—a speed management method: Danish experiences on environmentally adapted through roads. Accident Analysis & Prevention, 24(1), pp.3-16.

Jianjun, Z. and Gaoqiang, Z., 2011, January. The Challenges and Opportunities on Road Safety in China. In 2011 Third International Conference on Measuring Technology and Mechatronics Automation (Vol. 3, pp. 716-721). IEEE.

Kazazi, J., Winkler, S. and Vollrath, M., 2016. The influence of attention allocation and age on intersection accidents. Transportation research part F: traffic psychology and behaviour, 43, pp.1-14.

Kjemtrup, K. and Herrstedt, L., 1992. Speed management and traffic calming in urban areas in Europe: a historical view. Accident Analysis & Prevention, 24(1), pp.57-65.

Koepsell, T., McCloskey, L., Wolf, M., Moudon, A.V., Buchner, D., Kraus, J. and Patterson, M., 2002. Crosswalk markings and the risk of pedestrian–motor vehicle collisions in older pedestrians. Jama, 288(17), pp.2136-2143.

Koh, P.P. and Wong, Y.D., 2014. Gap acceptance of violators at signalised pedestrian crossings. Accident Analysis & Prevention, 62, pp.178-185.

Kramlich, T., Langwieder, K., Lang, D. and Hell, W., 2002. Accident characteristics in car-to-pedestrian impacts. In Proc. IRCOBI Conf (pp. 119-130).

Lam, L.T., 2003. Factors associated with young drivers' car crash injury: comparisons among learner, provisional, and full licensees. Accid. Anal. Prev. 35 (6), 913–920

LaScala, E.A., Gerber, D. and Gruenewald, P.J., 2000. Demographic and environmental correlates of pedestrian injury collisions: a spatial analysis. Accident Analysis & Prevention, 32(5), pp.651-658.

Lin, P.S., Guo, R., Bialkowska-Jelinska, E., Kourtellis, A. and Zhang, Y., 2019. Development of countermeasures to effectively improve pedestrian safety in low-income areas. Journal of Traffic and Transportation Engineering (English Edition).

Lin, P.S., Guo, R., Bialkowska-Jelinska, E., Kourtellis, A. and Zhang, Y., 2019. Development of countermeasures to effectively improve pedestrian safety in low-income areas. Journal of Traffic and Transportation Engineering (English Edition).

Madanipour, A., 1999. Why are the design and development of public spaces significant for cities? Environment and planning B: Planning and Design, 26(6), pp.879-891.

Madanipour, A., 2004. Marginal public spaces in European cities. Journal of Urban Design, 9(3), pp.267-286.

Manyara, C.G., 2016. Combating road traffic accidents in Kenya: A challenge for an emerging economy. In Kenya After 50 (pp. 101-122). Palgrave Macmillan, New York.

Marisamynathan, S. and Vedagiri, P., 2018. Estimation of Pedestrian Safety Index Value at Signalized Intersections under Mixed Traffic Conditions. Transportation in Developing Economies, 4(1), p.5.

Markogiannakis, H., Sanidas, E., Messaris, E., Koutentakis, D., Alpantaki, K., Kafetzakis, A. and Tsiftsis, D., 2006. Motor vehicle trauma: analysis of injury profiles by road-user category. Emergency medicine journal, 23(1), pp.27-31.

Mayou, R., 1992. Psychiatric aspects of road traffic accidents. International Review of Psychiatry, 4(1), pp.45-54.

McCartt, A.T., Shabanova, V.I. and Leaf, W.A., 2003. Driving experience, crashes and traffic citations of teenage beginning drivers. Accident Analysis & Prevention, 35(3), pp.311-320.

McGwin, G., Brown, D.B., 1999. Characteristics of traffic crashes among young, middleaged, and older drivers. Accid. Anal. Prev. 31 (3), 181–198.

McGwin, G., Sims, R.V., Pulley, L., Roseman, J.M., 2000. Relations among chronic medical conditions, medications, and automobile crashes in the elderly: A population-based case-control study. Am. J. Epidemiol. 152 (5), 424–431.

Mukherjee, D. and Mitra, S., 2019. Impact of Road Infrastructure Land Use and Traffic Operational Characteristics on Pedestrian Fatality Risk: A Case Study of Kolkata, India. Transportation in Developing Economies, 5(2), p.6.

Naci, H., Chisholm, D. and Baker, T.D., 2009. Distribution of road traffic deaths by road user group: a global comparison. Injury prevention, 15(1), pp.55-59.

Rolison, J.J., Hanoch, Y., Wood, S., Pi-Ju, L., 2014. Risk taking differences across the adult lifespan: A question of age and domain. J. Gerontol. Ser. B: Psychol. Sci. Soc. Sci. 69, 870–880.

Rolison, J.J., Regev, S., Moutari, S. and Feeney, A., 2018. What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records. Accident Analysis & Prevention, 115, pp.11-24.

Saelens, B.E. and Handy, S.L., 2008. Built environment correlates of walking: a review. Medicine and science in sports and exercise, 40(7 Suppl), p.S550.

Santosa, S.P., Mahyuddin, A.I. and Sunoto, F.G., 2017. Anatomy of injury severity and fatality in Indonesian traffic accidents. Journal of Engineering and Technological Sciences, 49(3), pp.412-422.

Shankar, K.R., Prasad, C.S.R.K. and Reddy, T.S., 2013. Evaluation of area traffic management measures using microscopic simulation model. Procedia-Social and Behavioral Sciences, 104, pp.815-824.

Sheykhfard, A. and Haghighi, F., 2019. Performance analysis of urban drivers encountering pedestrian. Transportation Research Part F: Traffic Psychology and Behaviour, 62, pp.160-174.

Singh, H. and Dhattarwal, S.K., 2004. Pattern and distribution of injuries in fatal road traffic accidents in Rohtak (Haryana). JIAFM, 26(1), pp.20-23.

Singh, S.K. and Misra, A., 2004. Road accident analysis: A case study of Patna City. Urban Transport Journal, 2(2), pp.60-75.

Singh, S.K., 2017. Road traffic accidents in India: issues and challenges. Transportation research procedia, 25, pp.4708-4719.

Su, J., Sze, N.N. and Bai, L., 2019. Exposure to Pedestrian Crash Based on Household Survey Data: Safety Effect of Trip Purpose (No. 19-05410).

Sze, N.N., Su, J. and Bai, L., 2019. Exposure to pedestrian crash based on household survey data: effect of trip purpose. Accident Analysis & Prevention, 128, pp.17-24.

Tianqing, W., 2006. A study on the improvement of the safety of pedestrians crossing the street. Planners, 10, pp.78-80.

Twagirayezu, E., Teteli, R., Bonane, A. and Rugwizangoga, E., 2008. Road traffic injuries at Kigali University Central Teaching Hospital, Rwanda. East and Central African Journal of Surgery, 13(1), pp.73-76.

World Health Organization, 2015. Global Status Report on Road Safety 2015. Available at: http://www.who.int/violence_injury_prevention/road_safety_status/2015/en/.

Yagil, D., 2000. Beliefs, motives and situational factors related to pedestrians’ self-reported behavior at signal-controlled crossings. Transportation Research Part F: Traffic Psychology and Behaviour, 3(1), pp.1-13.

Yagil, D., 2000. Beliefs, motives and situational factors related to pedestrians’ self-reported behavior at signal-controlled crossings. Transportation Research Part F: Traffic Psychology and Behaviour, 3(1), pp.1-13.

Zangooei Dovom, H., Shafahi, Y. and Zangooei Dovom, M., 2013. Fatal accident distribution by age, gender and head injury, and death probability at accident scene in Mashhad, Iran, 2006–2009. International journal of injury control and safety promotion, 20(2), pp.121-133.

Zhang, C., Chen, F. and Wei, Y., 2019. Evaluation of pedestrian crossing behavior and safety at uncontrolled mid-block crosswalks with different numbers of lanes in China. Accident Analysis & Prevention, 123, pp.263-273.

Zhang, Y. and Duan, H., 2007. Modeling mixed traffic flow at crosswalks in microsimulations using cellular automata. Tsinghua science and technology, 12(2), pp.214-222.

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Published

30-09-2023

How to Cite

KITOSI, P. (2023). Implications of Traffic Mix on Pedestrian Roads Safety in Urban Built Environment. African Journal on Land Policy and Geospatial Sciences, 6(4), 672–682. https://doi.org/10.48346/IMIST.PRSM/ajlp-gs.v6i4.39560

Issue

Section

Land Policy and Regulatory Framework

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