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

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

Zheng Li, Yan Wang, Qin Chen
Copyright: © 2017 |Volume: 8 |Issue: 4 |Pages: 9
ISSN: 1947-8569|EISSN: 1947-8577|EISBN13: 9781522512905|DOI: 10.4018/IJSDS.2017100106
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MLA

Li, Zheng, et al. "Real-Time Monitoring of Intercity Passenger Flows Based on Big Data: A Decision Support Tool for Urban Sustainability." IJSDS vol.8, no.4 2017: pp.120-128. http://doi.org/10.4018/IJSDS.2017100106

APA

Li, Z., Wang, Y., & Chen, Q. (2017). Real-Time Monitoring of Intercity Passenger Flows Based on Big Data: A Decision Support Tool for Urban Sustainability. International Journal of Strategic Decision Sciences (IJSDS), 8(4), 120-128. http://doi.org/10.4018/IJSDS.2017100106

Chicago

Li, Zheng, Yan Wang, and Qin Chen. "Real-Time Monitoring of Intercity Passenger Flows Based on Big Data: A Decision Support Tool for Urban Sustainability," International Journal of Strategic Decision Sciences (IJSDS) 8, no.4: 120-128. http://doi.org/10.4018/IJSDS.2017100106

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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.

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