The Experts below are selected from a list of 147 Experts worldwide ranked by ideXlab platform

Steve Callas - One of the best experts on this subject based on the ideXlab platform.

  • Extraboard Management: TriMet Case Study
    2012
    Co-Authors: James G. Strathman, Sung Moon Kwon, Steve Callas
    Abstract:

    This paper examines extraboard operations and management at TriMet, the Transit Provider for the Portland Oregon metropolitan area. The extraboard consists of a pool of operators who fill open work resulting from absences and other causes. The paper first examines the general performance of the extraboard in filling open work, drawing on seven years of daily operations data from three bus garages. It then presents statistical analyses focusing on open work patterns and the effects of selected work rules on operator utilization and service delivery. Lastly, suggestions are made for improving the efficiency of extraboard operations

  • Extraboard Performance. TriMet Case Study
    Transportation Research Record, 2012
    Co-Authors: James G. Strathman, Sung Moon Kwon, Steve Callas
    Abstract:

    This paper examines extraboard operations at TriMet, the Transit Provider for the Portland, Oregon, metropolitan area. The extraboard consists of a pool of operators who fill open work resulting fr...

  • DETERMINANTS OF BUS DWELL TIME
    Journal of Public Transportation, 2004
    Co-Authors: Kenneth Dueker, Thomas Kimpel, James G. Strathman, Steve Callas
    Abstract:

    Bus dwell time data collection typically involves labor intensive ride checks. This paper reports an analysis of bus dwell times that use archived automatic vehicle location (AVL)/automatic passenger counter (APC) data reported at the level of individual bus stops. The archived data provide a large number of observations that serve to better understand the determinants of dwells, including analysis of rare events, such as lift operations. The analysis of bus dwell times at bus stops is applicable to TriMet, the Transit Provider for the Portland, Oregon metropolitan area, and Transit agencies in general. The determinants of dwell time include passenger activity, lift operations, and other effects, such as low floor bus, time of day, and route type.

  • Evaluation of Transit operations: Data applications of Tri-Met's automated bus dispatching system
    Transportation, 2002
    Co-Authors: James G. Strathman, Kenneth Dueker, Thomas Kimpel, R L Gerhart, Steve Callas
    Abstract:

    In this paper, archived Automatic Vehicle Location and Automatic Passenger Counter data are used to evaluate actual bus running time variation in relation to scheduled service for Tri-Met, the Transit Provider for the Portland, Oregon metropolitan area. Given observed variation in running times, scheduled recovery times are found to be generally (though not universally) excessive. This results in an under-investment of resources in revenue service relative to non-revenue service. Analysis of trip level data reveals that bus operators are an important source of running time variation after controlling for such factors as route design, time of day and direction of service, and passenger activity.

  • Automated Bus Dispatching, Operations Control, and Service Reliability: Baseline Analysis
    Transportation Research Record: Journal of the Transportation Research Board, 1999
    Co-Authors: James G. Strathman, Kenneth Dueker, Thomas Kimpel, Steve Callas, Rick Gerhart, Ken Turner, Pete Taylor, David Griffin, Janet Hopper
    Abstract:

    Tri-Met, the Transit Provider in Portland, Oregon, is implementing a new computer-aided bus dispatching system that uses a satellite-based global positioning system to track vehicle location. It is expected that the new system will produce improvements in service reliability. Presented is a baseline analysis of service reliability on selected routes, focusing on running times, headways, and on-time performance. Reliability is found to vary according to route characteristics, direction, and time of day

Ehab Diab - One of the best experts on this subject based on the ideXlab platform.

  • Understanding the factors that influence the probability and time to streetcar bunching incidents
    Public Transport, 2019
    Co-Authors: Paula Nguyen, Ehab Diab, Amer Shalaby
    Abstract:

    Bunching is a well-known operational problem for Transit agencies and it has negative impacts on service quality and users’ perception. While there has been a substantial amount of literature about understanding the factors associated with bus bunching and strategies used to mitigate the effects of this problem, there has been little research on streetcar bunching. Although bus and streetcar systems share many similarities, one major difference between the two is that streetcars cannot overtake each other. This makes bunching in streetcar networks more critical to the reliability of the system and an important topic that requires more in-depth understanding. This research aims at understanding the factors that are associated with the likelihood of streetcar bunching and to investigate in greater detail the external and internal factors that relate to the time to the initial bunching incident from terminal. To achieve the first goal, the study uses a binary logistic regression model, while it uses an accelerated failure time model to address the second goal. The study utilizes automatic vehicle location system data acquired from the Toronto Transit Commission, the Transit Provider for the City of Toronto. The models’ results show that headway deviations at terminals are related to both an increase in the probability of bunching and an acceleration of the time to bunching. The discrepancy in vehicle types between two successive streetcars also has the same relationship as headway deviations at terminals. This study offers a better understanding of the factors that are associated with streetcar service bunching, which is an important component of Transit service reliability.

  • extraboard team sizing an analysis of short unscheduled absences among regular Transit drivers
    Transportation Research Part A-policy and Practice, 2014
    Co-Authors: Ehab Diab, Rania Wasfi, Ahmed M Elgeneidy
    Abstract:

    Several factors contribute to short-duration unscheduled absences of bus Transit drivers. This article aims to understand these factors at the aggregate level and to anticipate future total absence that will need to be filled for a large-size Transit operator. The aggregate level is defined as the total number of regular driver absences per garage, day of week and time period that need to be covered by the extraboards. This study analyzes absenteeism data obtained from OC Transpo, the Transit Provider of the city of Ottawa, Canada. A multilevel regression model is generated to investigate regular drivers’ absences. The short-unscheduled absence is estimated in relation to temporal factors, drivers’ personal characteristics, aspects of assigned work, and service delivery characteristics. Furthermore, using the model’s coefficients, sensitivity analyses are conducted to demonstrate the advantages of this technique over traditional ones adopted by various Transit agencies. This study provides Transit planners and policy makers with a practical methodology that can be used to support extraboard planning practice and help reduce the incidence of missed trips due to absences while having the appropriate size of extraboard drivers.

  • extraboard team sizing an analysis of short unscheduled absences among regular Transit operators case study of oc transpo ottawa canada
    Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014
    Co-Authors: Ehab Diab, Rania Wasfi, Ahmed M Elgeneidy
    Abstract:

    Several factors contribute to short-duration unscheduled absences of bus Transit operators (drivers). This article aims to understand these factors at the aggregate level and to anticipate future total absence that will need to be filled for a large-size Transit operator. The aggregate level is defined as the total number of regular operator absences per garage, day of week and time period that need to be covered by the extraboards. This study analyzes absenteeism data obtained from OC Transpo, the Transit Provider of the city of Ottawa, Canada. A multilevel regression model is generated to investigate regular operators’ absence. The short-unscheduled absence is estimated in relation to temporal factors, operators’ personal characteristics, aspects of assigned work, and service delivery characteristics. Furthermore, using the model’s coefficients, sensitivity analyses are conducted to demonstrate the advantages of this technique over traditional ones being adopted by various Transit agencies. This study provides Transit planners and policy makers with a practical methodology that can be used to support extraboard planning practice and help reduce the incidence of missed trips due to absences while having the appropriate size of extraboard operators.

Ahmed M Elgeneidy - One of the best experts on this subject based on the ideXlab platform.

  • extraboard team sizing an analysis of short unscheduled absences among regular Transit drivers
    Transportation Research Part A-policy and Practice, 2014
    Co-Authors: Ehab Diab, Rania Wasfi, Ahmed M Elgeneidy
    Abstract:

    Several factors contribute to short-duration unscheduled absences of bus Transit drivers. This article aims to understand these factors at the aggregate level and to anticipate future total absence that will need to be filled for a large-size Transit operator. The aggregate level is defined as the total number of regular driver absences per garage, day of week and time period that need to be covered by the extraboards. This study analyzes absenteeism data obtained from OC Transpo, the Transit Provider of the city of Ottawa, Canada. A multilevel regression model is generated to investigate regular drivers’ absences. The short-unscheduled absence is estimated in relation to temporal factors, drivers’ personal characteristics, aspects of assigned work, and service delivery characteristics. Furthermore, using the model’s coefficients, sensitivity analyses are conducted to demonstrate the advantages of this technique over traditional ones adopted by various Transit agencies. This study provides Transit planners and policy makers with a practical methodology that can be used to support extraboard planning practice and help reduce the incidence of missed trips due to absences while having the appropriate size of extraboard drivers.

  • extraboard team sizing an analysis of short unscheduled absences among regular Transit operators case study of oc transpo ottawa canada
    Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014
    Co-Authors: Ehab Diab, Rania Wasfi, Ahmed M Elgeneidy
    Abstract:

    Several factors contribute to short-duration unscheduled absences of bus Transit operators (drivers). This article aims to understand these factors at the aggregate level and to anticipate future total absence that will need to be filled for a large-size Transit operator. The aggregate level is defined as the total number of regular operator absences per garage, day of week and time period that need to be covered by the extraboards. This study analyzes absenteeism data obtained from OC Transpo, the Transit Provider of the city of Ottawa, Canada. A multilevel regression model is generated to investigate regular operators’ absence. The short-unscheduled absence is estimated in relation to temporal factors, operators’ personal characteristics, aspects of assigned work, and service delivery characteristics. Furthermore, using the model’s coefficients, sensitivity analyses are conducted to demonstrate the advantages of this technique over traditional ones being adopted by various Transit agencies. This study provides Transit planners and policy makers with a practical methodology that can be used to support extraboard planning practice and help reduce the incidence of missed trips due to absences while having the appropriate size of extraboard operators.

James G. Strathman - One of the best experts on this subject based on the ideXlab platform.

  • Extraboard Management: TriMet Case Study
    2012
    Co-Authors: James G. Strathman, Sung Moon Kwon, Steve Callas
    Abstract:

    This paper examines extraboard operations and management at TriMet, the Transit Provider for the Portland Oregon metropolitan area. The extraboard consists of a pool of operators who fill open work resulting from absences and other causes. The paper first examines the general performance of the extraboard in filling open work, drawing on seven years of daily operations data from three bus garages. It then presents statistical analyses focusing on open work patterns and the effects of selected work rules on operator utilization and service delivery. Lastly, suggestions are made for improving the efficiency of extraboard operations

  • Extraboard Performance. TriMet Case Study
    Transportation Research Record, 2012
    Co-Authors: James G. Strathman, Sung Moon Kwon, Steve Callas
    Abstract:

    This paper examines extraboard operations at TriMet, the Transit Provider for the Portland, Oregon, metropolitan area. The extraboard consists of a pool of operators who fill open work resulting fr...

  • DETERMINANTS OF BUS DWELL TIME
    Journal of Public Transportation, 2004
    Co-Authors: Kenneth Dueker, Thomas Kimpel, James G. Strathman, Steve Callas
    Abstract:

    Bus dwell time data collection typically involves labor intensive ride checks. This paper reports an analysis of bus dwell times that use archived automatic vehicle location (AVL)/automatic passenger counter (APC) data reported at the level of individual bus stops. The archived data provide a large number of observations that serve to better understand the determinants of dwells, including analysis of rare events, such as lift operations. The analysis of bus dwell times at bus stops is applicable to TriMet, the Transit Provider for the Portland, Oregon metropolitan area, and Transit agencies in general. The determinants of dwell time include passenger activity, lift operations, and other effects, such as low floor bus, time of day, and route type.

  • Evaluation of Transit operations: Data applications of Tri-Met's automated bus dispatching system
    Transportation, 2002
    Co-Authors: James G. Strathman, Kenneth Dueker, Thomas Kimpel, R L Gerhart, Steve Callas
    Abstract:

    In this paper, archived Automatic Vehicle Location and Automatic Passenger Counter data are used to evaluate actual bus running time variation in relation to scheduled service for Tri-Met, the Transit Provider for the Portland, Oregon metropolitan area. Given observed variation in running times, scheduled recovery times are found to be generally (though not universally) excessive. This results in an under-investment of resources in revenue service relative to non-revenue service. Analysis of trip level data reveals that bus operators are an important source of running time variation after controlling for such factors as route design, time of day and direction of service, and passenger activity.

  • Automated Bus Dispatching, Operations Control, and Service Reliability: Baseline Analysis
    Transportation Research Record: Journal of the Transportation Research Board, 1999
    Co-Authors: James G. Strathman, Kenneth Dueker, Thomas Kimpel, Steve Callas, Rick Gerhart, Ken Turner, Pete Taylor, David Griffin, Janet Hopper
    Abstract:

    Tri-Met, the Transit Provider in Portland, Oregon, is implementing a new computer-aided bus dispatching system that uses a satellite-based global positioning system to track vehicle location. It is expected that the new system will produce improvements in service reliability. Presented is a baseline analysis of service reliability on selected routes, focusing on running times, headways, and on-time performance. Reliability is found to vary according to route characteristics, direction, and time of day

Kenneth Dueker - One of the best experts on this subject based on the ideXlab platform.

  • DETERMINANTS OF BUS DWELL TIME
    Journal of Public Transportation, 2004
    Co-Authors: Kenneth Dueker, Thomas Kimpel, James G. Strathman, Steve Callas
    Abstract:

    Bus dwell time data collection typically involves labor intensive ride checks. This paper reports an analysis of bus dwell times that use archived automatic vehicle location (AVL)/automatic passenger counter (APC) data reported at the level of individual bus stops. The archived data provide a large number of observations that serve to better understand the determinants of dwells, including analysis of rare events, such as lift operations. The analysis of bus dwell times at bus stops is applicable to TriMet, the Transit Provider for the Portland, Oregon metropolitan area, and Transit agencies in general. The determinants of dwell time include passenger activity, lift operations, and other effects, such as low floor bus, time of day, and route type.

  • Evaluation of Transit operations: Data applications of Tri-Met's automated bus dispatching system
    Transportation, 2002
    Co-Authors: James G. Strathman, Kenneth Dueker, Thomas Kimpel, R L Gerhart, Steve Callas
    Abstract:

    In this paper, archived Automatic Vehicle Location and Automatic Passenger Counter data are used to evaluate actual bus running time variation in relation to scheduled service for Tri-Met, the Transit Provider for the Portland, Oregon metropolitan area. Given observed variation in running times, scheduled recovery times are found to be generally (though not universally) excessive. This results in an under-investment of resources in revenue service relative to non-revenue service. Analysis of trip level data reveals that bus operators are an important source of running time variation after controlling for such factors as route design, time of day and direction of service, and passenger activity.

  • Automated Bus Dispatching, Operations Control, and Service Reliability: Baseline Analysis
    Transportation Research Record: Journal of the Transportation Research Board, 1999
    Co-Authors: James G. Strathman, Kenneth Dueker, Thomas Kimpel, Steve Callas, Rick Gerhart, Ken Turner, Pete Taylor, David Griffin, Janet Hopper
    Abstract:

    Tri-Met, the Transit Provider in Portland, Oregon, is implementing a new computer-aided bus dispatching system that uses a satellite-based global positioning system to track vehicle location. It is expected that the new system will produce improvements in service reliability. Presented is a baseline analysis of service reliability on selected routes, focusing on running times, headways, and on-time performance. Reliability is found to vary according to route characteristics, direction, and time of day

  • SERVICE RELIABILITY IMPACTS OF COMPUTER-AIDED DISPATCHING AND AUTOMATIC VEHICLE LOCATION TECHNOLOGY: A TRI-MET CASE STUDY
    Transportation Quarterly, 1999
    Co-Authors: James G. Strathman, Kenneth Dueker, Thomas Kimpel, Steve Callas, Richard L. Gerhart, K Turner, P Taylor, David Griffin
    Abstract:

    This paper presents findings on initial changes in service reliability following the deployment of a new bus dispatching system using automatic vehicle location and automatic passenger counter technology by Tri-Met, the Transit Provider for the area of Portland, Oregon. Changes in on-time performance, headway variation, run time variation, and run times were determined with respect to predeployment levels. Changes in headway variation and run times were also used to estimate the initial benefits of the new system with respect to operating costs, passenger waiting, and passenger travel time.