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Enhanced Huff model for estimating Park and Ride (PnR) catchment areas in Perth, WA

Author

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  • Lin, Ting (Grace)
  • Xia, Jianhong (Cecilia)
  • Robinson, Todd P.
  • Olaru, Doina
  • Smith, Brett
  • Taplin, John
  • Cao, Buyang

Abstract

A train station catchment area delineates the spatial territory from which the users of a train station are drawn. The size and shape of this catchment can be influenced by a variety of factors, such as the transport network, the location of stations and the service quality they offer, as well as the land use density and diversity in the transport corridor. Although numerous studies have been conducted to understand the size of catchment areas, limited research has focused on determining the spatial boundary (shape) of train station catchments. This paper develops a framework for deriving a spatial boundary of a Park and Ride (PnR) catchment area by incorporating the Huff model and Geographic Information Systems (GIS) technologies. The approach is staged, firstly determining the PnR station choice as a function of the attractiveness of a train station and the cost of access between the origin (such as a suburb) and the destination of a trip (such as the Perth CBD). Linear referencing method is then applied to re-define the origins to train stations based on the derived station choice probability. Finally, the spatial boundary of a catchment area is determined according to the adjusted origins, using GIS technologies. The model outputs were evaluated against licence plate survey of station users, where the Kappa coefficient (0.74) and overall accuracy (0.88) statistic suggested that the model's results are robust. The paper then shows how catchment area data can be used to better manage travel demand and plan design solutions aimed at increased accessibility to train stations.

Suggested Citation

  • Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Olaru, Doina & Smith, Brett & Taplin, John & Cao, Buyang, 2016. "Enhanced Huff model for estimating Park and Ride (PnR) catchment areas in Perth, WA," Journal of Transport Geography, Elsevier, vol. 54(C), pages 336-348.
    • Handle: RePEc:eee:jotrge:v:54:y:2016:i:c:p:336-348
    DOI: 10.1016/j.jtrangeo.2016.06.011
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    References listed on IDEAS

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    Cited by:

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    2. Wang, Sen & Kong, Ningning Nicole & Gao, Yi, 2024. "Use mobile location data to infer airport catchment areas and calibrate Huff gravity model in the New York metropolitan area," Journal of Transport Geography, Elsevier, vol. 114(C).
    3. Jay Mittal, 2017. "Valuing Visual Accessibility of Scenic Landscapes in a Single Family Housing Market: A Spatial Hedonic Approach," ERES eres2017_1, European Real Estate Society (ERES).
    4. Ogryzek, Marek & Podawca, Konrad & Cienciała, Agnieszka, 2022. "Geospatial tools in the analyses of land use in the perspective of the accessibility of selected educational services in Poland," Land Use Policy, Elsevier, vol. 122(C).
    5. Mahama-Musah, Fuseina & Schoutteet, Penelope & Vanhaverbeke, Lieselot, 2021. "Using online data for offline decisions: A geostatistical approach for evaluating the patronage potential of a baby-care retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    6. Marcin Jacek Kłos & Grzegorz Sierpiński, 2023. "Strategy for the Siting of Electric Vehicle Charging Stations for Parcel Delivery Service Providers," Energies, MDPI, vol. 16(6), pages 1-18, March.
    7. Jay Mittal & Sweta Byahut, 2019. "Scenic landscapes, visual accessibility and premium values in a single family housing market: A spatial hedonic approach," Environment and Planning B, , vol. 46(1), pages 66-83, January.

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