Shuttle Bus Timetable Adjustment in Response to Behind-Schedule Commuter Railway Disturbance

Abstract

Shuttle bus connection is a valid technique to handle unplanned problems and promote sustainable transportation. The study describes tools that facilitate the shuttle bus timetable adjustment responding to a disturbance resulting from behind-schedule trains on a commuter railway. This behind-schedule disturbance is divided in four stages allowing for different delay ranges. The problem and its solution involve different elements, such as shuttle bus route selection, stop location, and timetable adjustment. We propose a nonlinear integer programming model, in which the objective function is based on the waiting, travelling, and walking costs for passengers as well as the operation cost of the route chosen. Vehicle capacity constraints and precise passengers’ waiting times are considered. A genetic algorithm and a simulated annealing algorithm combined with a priori decomposition are used to derive an efficient solution. A case study of a shuttle bus serving the Jinshan Railway in Shanghai, China, is tested to validate that, compared to the no-planning timetable, the total cost of the optimized timetable is reduced by 7.6%, especially including a dramatic reduction in the cost of passenger waiting time by 49.1%.

Examining the Connectivity between Urban Rail Transport and Regular Bus Transport

“…The above studies illustrate that improving the capacity of public transport can effectively increase the share of public transport passengers and that a combination of rail and regular buses can effectively improve urban connectivity and accessibility. From the perspective of the travelers' transfer experience, Feng et al [18] proposed a non-linear integer planning model that substantially reduces the cost of waiting time for rail travelers to switch to buses. By optimizing rail and bus schedules, Kang et al [19] showed that improving schedule synchronization can effectively improve traveler service.…”