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Title:
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EVIDENCE-DRIVEN POLICY MAKING USING
HETEROGENEOUS SOURCES OF DATA - THE CASE
OF A CONTROL PARKING SYSTEM |
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Author(s):
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Anastasios Papazoglou Chalikias, Ioannis Tsampoulatidis, Filareti Tsalakanidou,
Spiros Nikolopoulos, Ioannis (Yiannis) Kompatsiaris, Konstanstinos Doudouliakis,
Petros Papafilis and Georgios Papastergios |
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ISBN:
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978-989-8704-19-1 |
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Editors:
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Piet Kommers and Guo Chao Peng |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Policy Making, Big Data, Visualization, Economic Growth, Environmental Impact, Citizen Satisfaction |
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Type:
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Full |
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First Page:
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129 |
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Last Page:
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137 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Policy making is generally and largely based on intuition and not backed up by evidence. Our goal is to transform the
existing paradigm of policy making into an evidence-driven approach enabled by heterogenous sources of data. Methods
for data collection, efficient storage and data analysis are implemented to measure the economic activity, assess the
environmental impact and evaluate the social consequences of certain policy decisions. The extracted pieces of evidence
are used to inform, advise, monitor, evaluate and revise the decisions made by policy planners. In this paper, we examine
the use case of Thessaloniki's controlled parking system and its optimization balancing between economic growth,
environmental impact and citizen's satisfaction, by harmonizing and visualizing heterogenous sources of data. The case
study evaluation consists of a multi-step process that involves user recruitment, user training, formulation of
platform-usage scenarios, platform evaluation based on questionnaires, and finally in-depth questionnaire analysis. |
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