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  • Measuring and mapping transit opportunity: An expansion and application of the Transit Opportunity Index

    Author(s)
    Bertolaccini, Kelly
    Lownes, Nicholas E
    Mamun, Sha A
    Griffith University Author(s)
    Bertolaccini, Kelly
    Year published
    2018
    Metadata
    Show full item record
    Abstract
    The Transit Opportunity Index (TOI), developed by Mamun et al. (2013), combines measures of spatial and temporal accessibility with measures of connectivity to capture the opportunity offered to transit passengers in a zone. TOI measures access to public transportation services and infrastructure, rather than access to particular destinations. In the original paper, Mamun et al. (2013) calculated TOI for the relatively small city of New Haven, Connecticut, USA. Due to the small size of the study area, the authors calculate TOI manually. For larger analysis areas, however, calculating TOI in a reasonable amount of time requires ...
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    The Transit Opportunity Index (TOI), developed by Mamun et al. (2013), combines measures of spatial and temporal accessibility with measures of connectivity to capture the opportunity offered to transit passengers in a zone. TOI measures access to public transportation services and infrastructure, rather than access to particular destinations. In the original paper, Mamun et al. (2013) calculated TOI for the relatively small city of New Haven, Connecticut, USA. Due to the small size of the study area, the authors calculate TOI manually. For larger analysis areas, however, calculating TOI in a reasonable amount of time requires machine-readable datasets and necessitates automated algorithms for data processing. One of the primary purposes of the research presented in this paper is to develop the algorithms necessary to calculate TOI for larger analysis areas, a non-trivial task considering the substantial memory requirements of the calculations. The automated tool created in this research is able to calculate TOI values for large metropolitan areas, including Boston, substantially faster than the authors of the original paper were able to calculate TOI values for the much smaller city of New Haven using the original method.
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    Journal Title
    Journal of Transport Geography
    Volume
    71
    DOI
    https://doi.org/10.1016/j.jtrangeo.2018.07.009
    Subject
    Urban and regional planning
    Human geography
    Social Sciences
    Science & Technology
    Economics
    Geography
    Publication URI
    http://hdl.handle.net/10072/400229
    Collection
    • Journal articles

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