Highlights ► Travel time and travel time reliability measures are plotted for the network of Melbourne trams. ► Changes for 21 routes over a 10year period are demonstrated. ► Spatial and temporal changes are visualized using GIS. ► Key target areas for network planners to improve operational performance are identified.

    Abstract The operational performance of public transport networks is an important aspect of urban planning and development. Despite the network focus of services and delays which are often focused spatially, little research has examined the spatial pattern of operational performance of urban public transport. This paper explores the operational performance of on-road public transport using spatial and historical analysis at a network wide level. Operational performance is investigated through analysis of stop level Automatic Vehicle Location (AVL) data and utilizes visualization techniques in geographical information systems (GISs) to explore spatial and temporal patterns of change. The network in question is the Melbourne tram (streetcar) network, which has a large historical dataset of AVL data since 2001 providing information on scheduled arrival times, actual arrival times, times of departure, and more. Statistical analysis is undertaken to determine average travel times and the standard deviation of travel times. The statistical analysis is then imported into a GIS package for further analysis; the Inverse Distance Weighted (IDW) methodology is used to explore spatial variations in data. Outputs include observation of travel times across the network, a reliability analysis investigating actual vs. scheduled travel times and coefficients of variation, and trend analyses to observe the change in tram travel time and change in coefficient of variation. Through this analysis, various changes in travel time and reliability were observed between 2001 and 2010. Vast areas saw improvements in travel time and reliability, while some areas were identified to have deteriorated performance. This paper identifies that the spatial representation of large datasets is of great value in an ongoing monitoring of the network and a powerful reporting tool on a network level basis. Moreover, the results identify transit issues for the Melbourne tram network planners for further investigation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Spatial and temporal visualization of transit operations performance data at a network level


    Contributors:

    Published in:

    Publication date :

    2012-01-01


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Ridership and Operations Visualization Engine: An Integrated Transit Performance and Passenger Journey Visualization Engine

    Caros, Nicholas S. / Guo, Xiaotong / Stewart, Anson et al. | Transportation Research Record | 2022


    Data visualization tool for monitoring transit operation and performance

    Kurkcu, Abdullah / Miranda, Fabio / Ozbay, Kaan et al. | IEEE | 2017



    Spatial-Temporal Similarity Correlation between Public Transit Passengers Using Smart Card Data

    Hamed Faroqi / Mahmoud Mesbah / Jiwon Kim | DOAJ | 2017

    Free access