Analyzing the Traffic Operational Performance of School Pick-Up and Drop-Off Dynamics in Saudi Arabia

Sherif Shokry (), Ali Alrashidi and Marwa Elbany
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Sherif Shokry: The Center of Road Traffic Safety, Naif Arab University for Security Sciences, Riyadh 11452, Saudi Arabia
Ali Alrashidi: The Center of Road Traffic Safety, Naif Arab University for Security Sciences, Riyadh 11452, Saudi Arabia
Marwa Elbany: Transportation and Traffic Engineering Department, Faculty of Engineering, Port Said University, Port Said 42526, Egypt

Sustainability, 2024, vol. 16, issue 12, 1-16

Abstract: In seeking sustainable, safe, and efficient school commuting tours as non-recurring sources of congestion, it is essential to investigate the dynamic interaction between school students’ pick-up and drop-off (P&D) movements and the traffic operational performance of the surrounding area. This study investigates the traffic operational performance in the vicinity of schools at various P&D time intervals. The Travel and Planning Time indices (TTI, PTI), along with the Level of Service (LOS) are utilized as traffic operational performance indices in this article. A Python script was developed to employ the Google API for estimating the travel times from a real traffic dataset comprising 40 schools distributed across six cities in the Kingdom of Saudi Arabia (KSA). The results indicate that LOS varies from C to D for all cities except Riyadh, which exhibits the poorest traffic performance during P&D time intervals. This paper serves as a guideline for city planners and policymakers seeking to provide valuable insights to enhance traffic operational performance in Saudi Arabia.

Keywords: school vicinity; operational performance indices; level of service (LOS); travel time index (TTI); capacity analysis; Google API (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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