Abstract
Vulnerable road users (VRU) such as pedestrians, motorcyclists, and bicyclists, account for more than half of total road traffic fatalities in develo** countries. In urban India, VRU consist of more than 80% of the fatalities. Although in Indian cities, the share of VRU is considerably high, suitable VRU-friendly facilities are not efficiently planned. In this context, the present paper aims to develop a systematic approach to enhance VRU safety at the urban intersection level in the context of a develo** country. Using 6 years’ crash data (2011–2016) from “Kolkata Police”, India, the applicability of the present research framework is demonstrated. To examine the major risk factors associated with pedestrians, motorcyclists, and non-motorized transport users (NMT: bicycle, cycle-rickshaw, and hand-pull carts), three sets of crash prediction models are developed with the help of Poisson and negative binomial analysis. The study outcome reveals that vehicle volume and speed, inadequate sight distance, and the absence of designated bus stops significantly affect the likelihood of fatal pedestrian crashes. Alternatively, overspending and overtaking behavior by motorcyclists, and restricted sight distance increase the fatality risk of motorcyclists. Speed inconsistency between motorized and non-motorized vehicles, insufficient street lighting, and inadequate sight distance increase the risk of NMT users. The overall study outcomes specify the need for segregation between motorized traffic and VRU at urban intersections by providing dedicated lanes for VRU along with suitable crossing facilities; implementing signalization with a distinct phase for VRU. The study also highlights the importance of speed management measures in urban India.
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References
World Health Organization (2018) Global status report on road safety 2018, (ISBN 978-92-4-156568-4). World Health Organization.
MoRTH (2019) Road Accidents in India. Ministry of Road Transport & Highways, Transport research wings, Government of India.
Mohan D, Tiwari G, Mukherjee S (2016) Urban traffic safety assessment: a case study of six Indian cities. IATSS research 39(2):95–101
Kolkata Police (2011) Kolkata Police Accident Review Report. (2011–2016). Statistic Section, Traffic Department, Kolkata Police, Lal Bazar, Kolkata, West Bengal, India (2011)
Goel R, Jain P, Tiwari G (2018) Correlates of fatality risk of vulnerable road users in Delhi. Accid Anal Prev 111:86–93
Verma A, Sasidharan S, Bhalla K, Allirani H (2021) Fatality risk analysis of vulnerable road users from an Indian city. Case Stud Transp Policy 10:269
Radjou AN, Kumar SM (2018) Epidemiological and clinical profile of fatality in vulnerable road users at a high volume trauma center. J Emerg Trauma Shock 11(4):282
Bhalla K, Khurana N, Bose D, Navaratne KV, Tiwari G, Mohan D (2017) Official government statistics of road traffic deaths in India under-represent pedestrians and motorised two wheeler riders. Inj Prev 23(1):1–7
Census Data (2011) Ministry of Home Affairs, Govt. of India, https://censusindia.gov.in/. Accessed 23 May 2020
Priyadarshini P, Mitra S (2018) Investigating pedestrian risk factors leading to pedestrian fatalities in Kolkata city roads. Transp Dev Econ 4(1):1–11
Mukherjee D, Mitra S (2019) Impact of road infrastructure land use and traffic operational characteristics on pedestrian fatality risk: a case study of Kolkata, India. Transp Dev Econ 5(2):1–9
Mukherjee D, Mitra S (2019) A comparative study of safe and unsafe signalized intersections from the view point of pedestrian behavior and perception. Accid Anal Prev 132:105218
Mukherjee D, Mitra S (2020) Modelling risk factors for fatal pedestrian crashes in Kolkata, India. Int J Inj Contr Saf Promot 27(2):197–214
Mukherjee D, Mitra S (2021) Investigating the fatal pedestrian crash occurrence in urban setup in a develo** country using multiple-risk source model. Accid Anal Prev 163:106469
Mukherjee D, Mitra S (2021) Proactive pedestrian safety evaluation at urban road network level, an experience in Kolkata City, India. Int J Inj Contr Saf Promot 29:1–22
Chandrapp AK, Bhattacharyya K, Maitra B (2016) Estimation of post-encroachment time and threshold wait time for pedestrians on a busy urban corridor in a heterogeneous traffic environment: an experience in Kolkata. Asian Transp Stud 4(2):421–429
DiMaggio C, Li G (2013) Effectiveness of a safe routes to school program in preventing school-aged pedestrian injury. Pediatrics 131(2):290–296
Quddus MA (2008) Modelling area-wide count outcomes with spatial correlation and heterogeneity: an analysis of London crash data. Accid Anal Prev 40(4):1486–1497
Miranda-Moreno LF, Morency P, El-Geneidy AM (2011) The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections. Accid Anal Prev 43(5):1624–1634
Pucher J, Dijkstra L (2003) Promoting safe walking and cycling to improve public health: lessons from the Netherlands and Germany. Am J Public Health 93(9):1509–1516
King MR, Carnegie JA, Ewing R (2003) Pedestrian safety through a raised median and redesigned intersections. Transp Res Record 1828(1):56–66
Rankavat S, Tiwari G (2015) Association between built environment and pedestrian fatal crash risk in Delhi, India. Transp Res Record: J Transp Res Board 2519:61–66
Mukherjee D, Mitra S (2020) A comprehensive study on factors influencing pedestrian signal violation behaviour: Experience from Kolkata City India. Saf Sci 124:104610
Rankavat S, Tiwari G (2016) Pedestrians risk perception of traffic crash and built environment features–Delhi, India. Saf Sci 87:1–7
Santhosh A, Sam E, Bindhu BK (2020) Pedestrian accident prediction modelling—A case study in Thiruvananthapuram City. In: Mathew TV, Joshi GJ, Velaga NR, Arkatkar S (eds) Transportation Research. Springer, Singapore, pp 637–645
Rathinam C, Nair N, Gupta A, Joshi S, Bansal S (2007) Self-reported motorcycle riding behaviour among school children in India. Accid Anal Prev 39(2):334–339
Naqvi HM, Tiwari G (2017) Factors contributing to motorcycle fatal crashes on National Highways in India. Transp Res Procedia 25:2084–2097
Sivasankaran SK, Rangam H, Balasubramanian V (2021) Investigation of factors contributing to injury severity in single vehicle motorcycle crashes in India. Int J Inj Contr Saf Promot 28:1–12
Mukherjee D, Mitra S (2021) Pedestrian safety analysis of urban intersections in Kolkata, India using a combined proactive and reactive approach. J Transp Saf Secur 14:1–42
Pareekh P, Mitra S, Mukherjee D, Wadhwaniya S, Gupt S, Hyder A (2019) A study of road traffic injuries using data from trauma care facilities: Additional perspectives from India. In 98th Transportation Research Board Annual Meeting, Washington DC, USA.
Mukherjee D, Mitra S (2019) Identification of Risk Factors Leading to Pedestrian Fatalities: An Experience in Kolkata City. In World Conference on Transport Research-WCTR.
Chakraborty A, Mukherjee D, Mitra S (2019) Development of pedestrian crash prediction model for a develo** country using artificial neural network. Int J Inj Contr Saf Promot 26(3):283–293
Mukherjee D, Mitra S (2020) Identification of pedestrian risk factors using negative binomial model. Transp Dev Econ 6(1):1–14
Mukherjee D, Mitra S (2019) Evaluation of pedestrian satisfaction level at signalized intersections in perspective of pedestrian fatality risk: an experience in Kolkata City, India. j Eastern Asia Soc Transp Stud 13:2049
Mukherjee D, Mitra S (2020) Comprehensive study of risk factors for fatal pedestrian crashes in urban setup in a develo** country. Transp Res Rec 2674(8):100–118
Mukherjee D, Mitra S (2018, August) Identification of pedestrian risk factors using fixed-parameter negative binomial model. In 3rd National Conference Recent Advances in Traffic Engineering (Vol. 11).
Mitra S, Geedipally SR, Lord D (2017) Safety Analysis of Urban Signalized Intersections in Kolkata, India Using a Combined Proactive and Reactive Approach (No. 17-06331).
Mukherjee D, Mitra S (2020) A comprehensive study on identification of risk factors for fatal pedestrian crashes at urban intersections in a develo** country. Asian Transp Stud 6:100003
Washington SP, Karlaftis MG, Mannering F (2010) Statistical and econometric methods for transportation data analysis. Chapman and Hall/CRC, Boca Raton
Washington S, Haque MD (2013) On the commonly accepted assumptions regarding observed motor vehicle crash counts at transport system locations. In Transportation Research Board (TRB) 92nd Annual Meeting Compendium of Papers (pp. 1–19). Transportation Research Board (TRB), National Academy of Sciences.
Mitra S, Mukherjee D, Mitra S (2019) Safety Assessment of Urban Un-Signalized Intersections Using Conflict Analysis Technique, 13th International Conference of the Eastern Asia Society for Transportation Studies (EASTS), Colombo, Sri Lanka, 9–12 September 2019.
Chu X, Baltes MR (2001) Pedestrian mid-block crossing difficulty (No. NCTR-392-09). National Center for Transit Research, Center for Urban Transportation Research, University of South Florida.
Lee C, Abdel-Aty M (2005) Comprehensive analysis of vehicle–pedestrian crashes at intersections in Florida. Accid Anal Prev 37(4):775–786
Olszewski P, Szagała P, Wolański M, Zielińska A (2015) Pedestrian fatality risk in accidents at unsignalized zebra crosswalks in Poland. Accid Anal Prev 84:83–91
Rosén E, Sander U (2009) Pedestrian fatality risk as a function of car impact speed. Accid Anal Prev 41(3):536–542
Cuerden R, Richards D, Hill J (2007) Pedestrians and their survivability at different impact speeds. In Proceedings of the 20th International Technical Conference on the Enhanced Safety of Vehicles, Lyon, France, Paper (No. 07-0440).
Barić D, Pilko H, Starčević M (2018) Introducing experiment in pedestrian behaviour and risk perception study at urban level crossing. Int J Inj Contr Saf Promot 25(1):102–112
Al-Masaeid H (2009) Traffic accidents in Jordan. Jordan J Civil Eng 3(4):331–343
Pulugurtha SS, Vasudevan V, Nambisan SS, Dangeti MR (2012) Evaluating effectiveness of infrastructurebased countermeasures for pedestrian safety. Transp Res Rec 2299(1):100
Zegeer CV, Richard Stewart J, Huang H, Lagerwey P (2001) Safety effects of marked versus unmarked crosswalks at uncontrolled locations: analysis of pedestrian crashes in 30 cities. Transp Res Rec 1773(1):56–68
Clifton KJ, Kreamer-Fults K (2007) An examination of the environmental attributes associated with pedestrian–vehicular crashes near public schools. Accid Anal Prev 39(4):708–715
Schneider RJ, Diogenes MC, Arnold LS, Attaset V, Griswold J, Ragland DR (2010) Association between roadway intersection characteristics and pedestrian crash risk in Alameda County California. Transp Res Rec 2198(1):41–51
Barua U, Tay R, Hoque M, Mamun M (2007) Analysis of pedestrian safety on five major arterial roads in Dhaka, Bangladesh. In Canadian Transportation Research Forum.
Cheranchery MF, Bhattacharyya K, Salih M, Maitra B (2019) A proactive approach to assess safety level of urban bus stops. Int J Inj Contr Saf Promot 26(3):260–270
Lakhotia S, Lassarre S, Rao KR, Tiwari G (2020) Pedestrian accessibility and safety around bus stops in Delhi. IATSS research 44(1):55–66
Hu L, Hu X, Wan J, Lin M (2020) Huang J (2020) The injury epidemiology of adult riders in vehicle-two-wheeler crashes in China, Ningbo, 2011–2015. J Safety Res 72:21–28
Das S, Mousavi SM, Shirinzad M (2021) Pattern recognition in speeding related motorcycle crashes. J Transp Saf Secur. https://doi.org/10.1080/19439962.2021.1877228
Yannis G, Golias J, Spyropoulou I, Papadimitriou E (2007) Mobility patterns of motorcycle and moped riders in Greece. Transp Res Rec 2031(1):69–75
Rolison JJ, Regev S, Moutari S, 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. Accid Anal Prev 115:11–24
Vlahogianni EI, Yannis G, Golias JC (2013) Critical power two-wheeler driving patterns at the emergence of an incident. Accid Anal Prev 58:340–345
Hadaye RS, Rathod S, Shastri S (2020) A cross-sectional study of epidemiological factors related to road traffic accidents in a metropolitan city. J Family Med Prim Care 9(1):168
Da Costa DG, Malkhamah NS, Suparma LB (2016) The development of traffic accident risk managament method. Warta Penelit Perhub 28:377
Ganveer GB, Tiwari RR (2005) Injury pattern among non-fatal road traffic accident cases: a cross-sectional study in Central India. Indian J Med Sci 59:9
Golias ARC, Caetano R (2013) Accidents between motorcycles: analysis of cases that occurred in the state of Paraná between July 2010 and June 2011. Ciencia & Saude Coletiva 18(5):1235
Dolatsara HA (2014) Development of safety performance functions for non-motorized traffic safety.
Kröyer HR (2015) The relation between speed environment, age and injury outcome for bicyclists struck by a motorized vehicle–a comparison with pedestrians. Accid Anal Prev 76:57–63
Zahabi SAH, Strauss J, Manaugh K, Miranda-Moreno LF (2011) Estimating potential effect of speed limits, built environment, and other factors on severity of pedestrian and cyclist injuries in crashes. Transp Res Rec 2247(1):81–90
Kim JK, Kim S, Ulfarsson GF, Porrello LA (2007) Bicyclist injury severities in bicycle–motor vehicle accidents. Accid Anal Prev 39(2):238–251
Valero CFF, Puerta CP (2014) Identification of the main risk factors for vulnerable non-motorized users in the city of Manizales and its relationship with the quality of road infrastructure. Procedia Soc Behav Sci 162:359–367
Chandra S, Jimenez J, Radhakrishnan R (2017) Accessibility evaluations for nighttime walking and bicycling for low-income shift workers. J Transp Geogr 64:97–108
Mohan D, Tsimhoni O, Sivak M, Flannagan MJ (2009) Road safety in India: challenges and opportunities. Transportation Research Institute, University of Michigan, Ann Arbor
Helak K, Jehle D, McNabb D, Battisti A, Sanford S, Lark MC (2017) Factors influencing injury severity of bicyclists involved in crashes with motor vehicles: bike lanes, alcohol, lighting, speed, and helmet use. South Med J 110(7):441–444
De Pauw E, Daniels S, Brijs T, Hermans E, Wets G (2014) An evaluation of the traffic safety effect of fixed speed cameras. Saf Sci 62:168–174
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. Accid Anal Prev 44(1):63–73
Layton R, Dixon K (2012) Stop** sight distance. Kiewit Center for Infrastructure and Transportation, Oregon Department of Transportation.
Peprah C, Oduro CY, Ocloo KA (2014) On-street parking and pedestrian safety in the Kumasi metropolis: issues of culture and attitude. Dev Country Stud 4(20):85
Biswas S, Chandra S, Ghosh I (2017) Effects of on-street parking in urban context: a critical review. Transp Deve Econ 3(1):10
Mitra S, Mukherjee D (2021) Assessing Countermeasure Effects for Reducing Pedestrian Crash Risk at Urban Intersections: An Experience in Kolkata City, India. 14th Eastern Asia Society for Transportation Studies (EASTS), 12–14th September 2021.
Mitra S, Mukherjee D (2017) Training manual for drivers: chapter 6: vulnerable road users. West Bengal Transport Department, West Bengal, India.
Gitelman V, Balasha D, Carmel R (2009, October) Examination of infrastructure solutions for improving pedestrian safety in Israel. In 2009 European Transport Conference, Leeuwenhorst, Netherlands (pp. 5–9).
Antov D, Rõivas T, Rõuk H (2007) Investigating drivers’ behaviour at non-signalised pedestrian crossings. Baltic J Road Bridge Eng 2(3):111–118
Corben, BF, D'Elia, A, Healy D (2006) Estimating pedestrian fatal crash risk. In Proceedings of the Australasian road safety research, policing and education conference (Vol. 10). Monash University.
Berhanu G (2004) Models relating traffic safety with road environment and traffic flows on arterial roads in Addis Ababa. Accid Anal Prev 36(5):697–704
Vlahogianni EI, Yannis G, Golias JC (2013) Critical power two wheeler driving patterns at the emergence of an incident. Accid Anal Prev 58:340–345
Vlahogianni EI, Yannis G, Golias JC (2012) Overview of critical risk factors in Power-Two-Wheeler safety. Accid Anal Prev 49:12–22
Mitra S, Mukherjee D, Subudhi T (2016, December) Development of a methodological framework of road safety management for Indian metro cities. In Transportation Planning and Implementation Methodologies for Develo** Countries (Vol. 19).
Mukherjee D, Mitra S (2019, September) Development of a methodological framework to identify risk of road traffic crashes in Indian metro cities using police recorded crash data. In 13th International Conference of the Eastern Asia Society for Transportation Studies (EASTS) (pp. 9–12).
Mukherjee D, Mitra S (2017, October) What affects fatal pedestrian crashes at urban signalized intersections? A study on pedestrian behavior at signalized intersections in Kolkata using video-graphic survey. In Road Safety and Simulation International Conference, Hague, Netherlands.
Basu S, Vasudevan V (2013) Effect of bicycle friendly roadway infrastructure on bicycling activities in urban India. Procedia Soc Behav Sci 104:1139–1148
Zafri NM, Prithul AA, Baral I, Rahman M (2020) Exploring the factors influencing pedestrian-vehicle crash severity in Dhaka, Bangladesh. Int J Inj Contr Saf Promot 27(3):300–307
Acknowledgements
The authors acknowledge the opportunity provided by the 6th Conference of the Transportation Research Group of India (CTRG-2021) to present the work that formed the basis of this manuscript.
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Mukherjee, D., Mitra, S. Development of a Systematic Methodology to Enhance the Safety of Vulnerable Road Users in Develo** Countries. Transp. in Dev. Econ. 8, 28 (2022). https://doi.org/10.1007/s40890-022-00165-4
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DOI: https://doi.org/10.1007/s40890-022-00165-4