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Assessing public transport systems connectivity based on Google Transit data

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  • Hadas, Yuval

Abstract

A PT system consists of various physical features such as roads, railways, routes, and stops which are represented by a complex network of spatial and temporal data. Since these networks are usually very large and include millions of entities, it is difficult to assess PT systems. Assessment in this context is defined as the ability to extract and analyze data in an automated and recurring process so as to enhance decision making and to make it possible to compare between PT networks over time. The unified methodology that this work presents for extracting, storing and analyzing PT data enables relatively easy spatial analysis with GIS techniques based solely on: (a) Google Transit feeds and (b) Transportation networks. In order to implement this new methodology for analyzing a PT system, five connectivity indicators are introduced: (a) transportation network coverage level; (b) average speed; (c) intersection coverage level; (d) stop transfer potential; and (e) route overlap. This work demonstrates the proposed methodology by analyzing PT systems in Auckland (New Zealand), Vancouver (Canada), and Portland (Oregon, USA).

Suggested Citation

  • Hadas, Yuval, 2013. "Assessing public transport systems connectivity based on Google Transit data," Journal of Transport Geography, Elsevier, vol. 33(C), pages 105-116.
    • Handle: RePEc:eee:jotrge:v:33:y:2013:i:c:p:105-116
    DOI: 10.1016/j.jtrangeo.2013.09.015
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    9. Goliszek Sławomir & Połom Marcin & Duma Patryk, 2020. "Potential and cumulative accessibility of workplaces by public transport in Szczecin," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 50(50), pages 133-146, December.
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    15. Dimitrov, Stavri Dimitri & Ceder, Avishai (Avi), 2016. "A method of examining the structure and topological properties of public-transport networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 373-387.
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    20. Kevin Kane & Young-An Kim, 2020. "Parcels, points, and proximity: Can exhaustive sources of big data improve measurement in cities?," Environment and Planning B, , vol. 47(4), pages 695-715, May.

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