A process for improving transit service management during disruptions

This thesis develops a three-part framework and process for managing disrupted transit service. It formalizes the approach to disruption response. disruption response support methods prior to disruption occurrence, and evaluation of policy areas affecting disruption management. The processes are designed to improve the transit provider's ability to avoid and respond to service disruptions, thus improving passengers' experiences. The framework and process can be applied to any transit service disruption case on high or low frequency bus and rail service. Pre-planning and policy changes were identified as the primary means of improving disruption response. Hold-ins, scheduled bus route blockages, and rail blockages should be entirely pre-planned, while unpredictable disruptions, such as standing vehicles and unplanned bus route blockages, should have response guidelines developed by route segment, direction, and time of day. Additionally, agencies cannot effectively respond to disruptions on low frequency service, so it must be protected and scheduled service replaced as soon as possible. To limit passenger impacts during disruptions. service managers must be able to respond quickly by knowing as much information as possible about the route in advance and having a limited set of promising responses from which to select a response. In addition to having prepared service managers. agencies can assign reliable vehicles to essential runs, develop higher predetermined headway and operations plan to accommodate common disruptions on high frequency routes, and develop a list of candidate runs to borrow during disruptions, which could be supplementary runs in a base schedule where the remaining service provides enough capacity. The processes were applied to the Chicago Transit Authority (CTA) Route 77 Belmont. While there are several disruption response options available under ideal conditions for a standing bus disruption. CTA practice and operational constraints make most responses infeasible, leading them to either add service or do nothing during the initially disrupted trip. Assuming service managers can intercept and instruct operators in time. the ideal responses are available for the remainder of the disrupted trips. The primary agency practices and system elements constraining CTA bus disruption response are the communications system. vehicle availability, and operator and service management training. Thesis Supervisor: Nigel H.M. Wilson, Ph.D. Title: Professor of Civil and Environmental Engineering

[1]  Mark D. Abkowitz,et al.  IMPLEMENTING HEADWAY-BASED RELIABILITY CONTROL ON TRANSIT ROUTES , 1990 .

[2]  G. F. Newell,et al.  Control Strategies for an Idealized Public Transportation System , 1972 .

[3]  David Koffman,et al.  A SIMULATION STUDY OF ALTERNATIVE REAL-TIME BUS HEADWAY CONTROL STRATEGIES , 1977 .

[4]  Arnold Barnett Control Strategies for Transport Systems with Nonlinear Waiting Costs , 1978 .

[5]  Mark A. Turnquist,et al.  A MODEL FOR INVESTIGATING THE EFFECTS OF SERVICE FREQUENCY AND RELIABILITY ON BUS PASSENGER WAITING TIMES , 1978 .

[6]  Mark A. Turnquist,et al.  EVALUATING POTENTIAL EFFECTIVENESS OF HEADWAY CONTROL STRATEGIES FOR TRANSIT SYSTEMS , 1980 .

[7]  David P. Barker Communication, information and responsibility distribution strategies for effective real-time transit service management , 2002 .

[8]  André Puong,et al.  A real-time train holding model for rail transit systems , 2001 .

[9]  P. I. Welding,et al.  The Instability of a Close-Interval Service , 1957 .

[10]  Wei Song,et al.  Real time dispatching control in transit systems , 1998 .

[11]  A. Barnett On Controlling Randomness in Transit Operations , 1974 .

[12]  Susan W. O'Dell Optimal control strategies for a rail transit line , 1997 .

[13]  Nigel H. M. Wilson,et al.  IMPROVING SERVICE ON THE MBTA GREEN LINE THROUGH BETTER OPERATIONS CONTROL , 1992 .

[14]  Iris N Ortiz-Lugo Analysis of real time operations control strategies for Tren Urbano , 2000 .

[15]  Xu Jun Eberlein Real-time control stategies in transit operations : models and analysis , 1995 .

[16]  L C MacDorman Use of part-time operators , 1986 .