Assessing Traffic Characteristics for Safe Pedestrian Crossings: Developing Warrants for Sustainable Urban Safety

Shivang Chauhan, Sanjay Dave, Jiten Shah and Ashu Kedia ()
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Shivang Chauhan: Civil Engineering Department, NIMS Institute of Engineering and Technology, NIMS University Rajasthan, Jaipur 302131, India
Sanjay Dave: Department of Civil Engineering, The Maharaja Sayajirao University Baroda, Vadodara 390002, India
Jiten Shah: Department of Civil Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad 380026, India
Ashu Kedia: Urban Connection Limited, Christchurch 8011, New Zealand

Sustainability, 2024, vol. 16, issue 10, 1-17

Abstract: The escalating urbanisation fuelled by population growth and economic expansion has triggered a notable surge in vehicular and pedestrian traffic, amplifying their interaction. Nonetheless, inadequate research, investment, and prioritisation have engendered inefficient pedestrian crossing infrastructures. This study endeavours to bridge this gap by crafting tailored warrants suited to Indian traffic dynamics, facilitating the implementation of pedestrian crossing facilities. Employing PV 2 threshold value analysis, this study scrutinises pedestrian behavioural traits, such as gap acceptance and waiting time. Additionally, K-means clustering analysis delineates distinct levels of severity (LOSe), grounded in variables encompassing vehicular and pedestrian flow, gap acceptance, and waiting time. By establishing the nexus between vehicular volume and gap acceptance and vehicular volume and waiting time, a spectrum of PV 2 threshold values is delineated. These LOS categories guide the selection of pedestrian facilities, ensuring secure pedestrian–vehicle interactions. Leveraging PV 2 charts and vehicular volume assessments, our research identifies fitting pedestrian crossing infrastructures, thereby bolstering road safety for pedestrians and vehicles, underpinning sustainable urban mobility.

Keywords: urbanization; pedestrian safety; traffic dynamics; sustainable mobility; PV 2 analysis; urban development; level of severity (LOSe); K-means clustering; gap acceptance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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