Authors:
Dessislava Petrova-Antonova
;
Sylvia Ilieva
and
Irena Pavlova
Affiliation:
Department of Software Engineering, Sofia University, 125 Tsarigradsko shose Blvd., Sofia and Bulgaria
Keyword(s):
Assessment Platform, Performance Indicators, Smart Cities.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Data Analytics
;
Data Engineering
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
The concept of smart cities is widely accepted as a powerful tool to improve living standards in all city dimensions. Smart cities aim to provide better quality services in the field of health, transport, energy and education in order to increase the comfort of their citizens. Whether in the planning or implementation phase, a key success factor for building smart cities is measuring the productivity of the decisions and obtaining an assessment of the final results. Most cities perceive the smart city concept, many of them are working on strategies for its implementation and more and more of them take concrete actions for deployment of “smart” solutions. Two questions arise from this: “What are the challenges to become a smart city?” and “What the city undertakes to become smart?”. Their answers required assessment of the of city’s “smart services” and the social effect of deployment of “smart solutions” during the transformation from “smart” plan to “smart” process. In such a contex
t, this paper proposes an architecture of technological platforms for assessment of city’s “smartness”. Its primary goal is to provide a transparent and flexible indicator framework that supports quantitative progress evaluation of smart city strategy implementation, feedback on efficiency of current policies, timely and informed decision making and increased understanding of future city challenges. The main building components of the platform, namely repository, web APIs and web user interface, are described. Additionally, a classification schema of indicators covering six main thematic areas is proposed.
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