Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index.
|Number of pages||8|
|Publication status||Published - 2018 Mar|
Bibliographical noteFunding Information:
This research, ‘Geospatial Big Data Management, Analysis and Service Platform Technology Development’, was supported by the MOLIT(The Ministry of Land, Infrastructure and Transport ), Korea, under the national spatial information research program supervised by the KAIA( Korea Agency for Infrastructure Technology advancement ) ( 18NSIP-B081011-05 ). We thank Danjing Li for her contribution to the earlier draft of this paper.
© 2018 Elsevier Ltd
All Science Journal Classification (ASJC) codes
- Geography, Planning and Development
- Environmental Science(all)
- Tourism, Leisure and Hospitality Management