Enhanced Huff model for estimating Park and Ride (PnR) catchment areas in Perth,WA |
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| Institution: | 1. Department of Spatial Sciences, Curtin University, Kent St Bentley, Western Australia, Australia;2. Business School, University of Western Australia, WA, Australia;3. School of Software Engineering, Tongji University, Shanghai, China;1. Department of Transport and Planning, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands;2. TNO, The Hague, The Netherlands;3. Department of the Built Environment, Section of Urban Systems & Real Estate, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands;1. School of International Relations and Public Affairs, Fudan University, 220 Handan Road, Shanghai 200433, China;2. The Bartlett Centre for Advanced Spatial Analysis, University College London, 90 Tottenham Court Road, W1T 4TJ London, UK;3. Chair of Cartography, Technical University of Munich, Arcisstraße 21, 80333 Munich, Germany;4. Department of Civil and Environmental Engineering, University of Utah, 110 Central Campus Drive, 2137 MCE, Salt Lake City, UT 84112, United States of America;1. School of Geography, Beijing Normal University, 19 Xinjiekouwai Road, Beijing 100875, China;2. Planning Research Institute, China Center of Information Industry Development, 27 Wanshou Lu Road, Beijing 100846, China;3. Amsterdam Institute for Social Science Research, Universiteit van Amsterdam, 3176 Carolina MacGillavrylaan, Amsterdam 1098, XK, Netherlands |
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| 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. |
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