Flow-based accessibility measurement: The Place Rank approach |
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| Institution: | 1. Department of Decision Sciences, NUS Business School, National University of Singapore, Singapore;2. Department of Industrial Engineering, School of Business Administration, South China University of Technology, China;1. Charité—University Clinic Berlin, Institute of Physiology, 10117 Berlin, Germany;2. University of Uppsala Biomedical Center, Department of Pharmacy, 751 23 Uppsala, Sweden;3. University of the Witwatersrand, Faculty of Health Sciences, Johannesburg 2000, South Africa;4. Boston University Center for Global Health and Development, Boston, MA 02118-2605, USA;5. Scienion AG, 12489 Berlin, Germany;6. Kungliga Tekniska Högskolan (KTH), School of Chemical Science and Engineering, 100 44 Stockholm, Sweden;7. St. George''s University Grenada, Section of Physics, True Blue, Grenada;8. German Heart Institute Berlin, Department of Cardiothoracic and Vascular Surgery, 13353 Berlin, Germany;9. University of Lund, Physical Chemistry 1, 221 00 Lund, Sweden;10. University of Coimbra, Department of Chemistry, 3004-535 Coimbra, Portugal;1. Faculty of Design and Architecture, Universiti Putra Malaysia, Serdang, 43400 Selangor, Malaysia;2. Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400 Selangor, Malaysia;3. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, 100044 Beijing, China;1. Institute of Communication and Electronic Engineering, Qingdao University of Technology, No. 11, Fushun Road, Qingdao, 266033, Shandong, China;2. School of Aeronautics and Astronautics, Zhejiang University, No. 38, Zheda Road Hangzhou, 310027, Zhejiang, China |
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| Abstract: | In this paper, we empirically test the viability of a flow-based approach as an alternative to transport accessibility measurement. To track where commuters travel from and to (but not commute times), we use transactional smartcard data from residents in Singapore to construct the (daily) spatial network of trips generated. We use the Place Rank method to demonstrate the viability of the flow-based approach to study accessibility. We compute the Place Rank of each of 44 planning areas in Singapore. Interestingly, even though the spatial network is constructed using only origin–destination information, we find that the travel time of the trips out of each planning area generally decreases as the area’s Place Rank increases. The same is also the case for in-vehicle time, number of transfers in the network and transfer time. This shows that a flow-based approach can be used to measure the notion of accessibility, which is traditionally assessed using travel time information in the system. We also compare Place Rank with other indicators, namely, bus stop density, eigenvector centrality, clustering coefficient and typographical coefficient to evaluate an area’s accessibility. The results show that these indicators are not as effective as the Place Rank method. |
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| Keywords: | Accessibility Place Rank Public transport Smartcard data |
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