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

Ivana Semanjski, Rik Bellens, Sidharta Gautama and Frank Witlox
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Ivana Semanjski: Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium
Rik Bellens: Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium
Sidharta Gautama: Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium
Frank Witlox: Department of Geography, Ghent University, 9000 Gent, Belgium

Sustainability, 2016, vol. 8, issue 11, 1-19

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.

Keywords: big data; smart city; decision making; sustainable mobility; transport planning; Policy 2.0; smartphones; urban data analytics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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