Development of a Systematic Methodology to Enhance the Safety of Vulnerable Road Users in Developing Countries

Mukherjee, Debargha; Mitra, Sophie

doi:10.1007/s40890-022-00165-4

Cited by 5 publications

(3 citation statements)

References 59 publications

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“…This creates a high-speed corridor where twowheelers and other vehicles are more likely to travel at faster speeds, increasing the severity of accidents and reducing reaction time for pedestrians, making them more vulnerable to fatal and injury accidents. Mukherjee and Mitra (2022) discovered that a unit increase in the average speed of a two-wheeler in km/h leads to a 5% increase in the likelihood of fatal crashes. Gandupalli et al (2023) conducted a similar study using discrete methods and found that a unit increase in the segment length leads to a 17.6% increase in the chance of a VRU fatal crash.…”

Section: Segment Lengthmentioning

confidence: 99%

“…This suggests that the probability of twowheeler crashes decreases as average daily traffic increases. Several researchers (Naqvi and Tiwari, 2020;Mukherjee and Mitra, 2022) studied the association between ADT and the frequency of crashes and found that average daily traffic significantly influences the probability of two-wheeler crashes.…”

Section: Average Daily Traffic (Adt)mentioning

confidence: 99%

“…According to the Kolkata Police crash records, 80% of the fatally injured victims are VRUs. Pedestrians are significant, comprising almost 50% of fatal accidents (Mukherjee and Mitra, 2022). The modal proportion of road-traffic fatalities attributed to VRUs in Mumbai city is about 89% (Mohan et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Modeling of Risk Factors for Vulnerable Road Users’ Crashes on National Highways Passing through Medium-sized Indian Cities

Gandupalli

2024

JJCE

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The safety of vulnerable road users, such as pedestrians, bicyclists and motorised twowheelers, on national highways passing through urban areas has been a significant concern in developing countries like India. This study analyzes Visakhapatnam police crash data (2014-2017) to identify high-risk road segments to vulnerable road users. Establishing negative binomial models helps analyze risk variables for fatal and injury crashes concerning several susceptible road users on mid-block sections. Further, this study focuses on site-specific information collected from road-safety audits, speed, average daily traffic, length of road section and percentage of two-wheelers, also considered to fully help understand the likelihood of a crash. The statistical analysis of this paper identified the risk variables, like length of road segment, presence of service roads, land-use type (i.e., commercial/mixed land use), number of curves and average daily traffic associated with the incidence of fatal and injury crashes of vulnerable road users in Visakhapatnam city, India. The conclusions highlight the crucial safety measures that transportation planners and policymakers must take to create a more secure environment for road users. Keywords: Vulnerable road users, Mid-block sections, Negative binomial models, Crash, Count-data models, Safety measures.

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Section: Segment Lengthmentioning

confidence: 99%

Section: Average Daily Traffic (Adt)mentioning

confidence: 99%