Rural School Bus Routing and Scheduling

TL;DR

This paper introduces a novel routing and scheduling model for rural school buses that significantly reduces student ride times, enhances bus utilization, and decreases congestion, addressing unique operational challenges in rural areas.

Contribution

It formalizes a new model for rural school bus routing and develops a heuristic that outperforms existing solutions in real-world scenarios.

Findings

Reduces student bus ride times by 37-39%

Improves bus utilization by 17-19%

Decreases congestion near schools by 12-17%

Abstract

Long school bus rides adversely affect student performance and well-being. Rural school bus rides are particularly long, incentivizing parents to drive their children to school rather than to opt for the school bus. This in turn exacerbates the traffic congestion around schools, further compounding the problem of long bus rides, creating a vicious cycle. It also results in underutilized school buses and higher bus operating costs per rider. To address these challenges, this paper focuses on the design of rural school bus routes and schedules, a particularly challenging problem due to its unique operational complexities, including mixed loading and irregular road networks. We formalize a rural school bus routing and scheduling model that tackles these complexities while minimizing the total bus ride time of students. We develop an original road network-aware cluster-then-route heuristic that leverages our problem formulation to produce high-quality solutions. For real-world case studies, our approach outperforms status quo solutions by reducing the bus ride times of students by 37-39 %. Our solutions also make the school bus more attractive, helping address both the underutilization of school buses and the prevalence of private commutes. Our routing and scheduling approach can improve school bus use by 17-19 % and reduce car trips that induce congestion near schools by 12-17 %. Many rural school districts share the operational characteristics modeled in this study, including long bus rides, high operational expenditures, mixed loading, and a high proportion of car-based school commutes, suggesting the broad applicability of our approach. Ultimately, by reducing student travel times, increasing school bus utilization, and alleviating congestion near schools, our approach enables rural school district planners to address transportation-related barriers to student performance and well-being.