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Sustainability 2016, 8(11), 1142; doi:10.3390/su8111142

Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System

1
Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium
2
Department of Geography, Ghent University, 9000 Gent, Belgium
3
Department of Geography, University of Tartu, 51014 Tartu, Estonia
*
Author to whom correspondence should be addressed.
Academic Editor: Brian Deal
Received: 9 September 2016 / Revised: 31 October 2016 / Accepted: 1 November 2016 / Published: 7 November 2016
(This article belongs to the Special Issue Urban Sustainability and Planning Support Systems)
View Full-Text   |   Download PDF [3938 KB, uploaded 7 November 2016]   |  

Abstract

It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations. View Full-Text
Keywords: big data; smart city; decision making; sustainable mobility; transport planning; Policy 2.0; smartphones; urban data analytics big data; smart city; decision making; sustainable mobility; transport planning; Policy 2.0; smartphones; urban data analytics
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MDPI and ACS Style

Semanjski, I.; Bellens, R.; Gautama, S.; Witlox, F. Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System. Sustainability 2016, 8, 1142.

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