Real-Time Monitoring of Intercity Passenger Flows Based on Big Data: A Decision Support Tool for Urban Sustainability

Zheng Li, Yan Wang and Qin Chen
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Yan Wang: School of Business, Xi'an Eurasia University, Xi'an, China
Qin Chen: BBD Index, Business Big Data (BBD), Chengdu, China

International Journal of Strategic Decision Sciences (IJSDS), 2017, vol. 8, issue 4, 120-128

Abstract: Managing population mobility is a key to urban growth and sustainable development. This study uses administrative and business data from a number of trustworthy and publicly-available websites for public transport to access passenger flows in a real-time manner. A case study is used to illustrate the application, with intercity passenger flows by public transport mode (rail or air), by rail service type and by time. Moreover, a model is developed for monitoring the implications of population movements, which can be a decision support tool for governments and policy makers to manage population mobility. The big-data approach to accessing public transport passenger movement has the following characteristics: (1) low cost, (2) a population scale, (3) instantaneous data collection/update, and (4) high quality.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsds00:v:8:y:2017:i:4:p:120-128

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