A model for the analysis of data-driven innovation and value generation in smart cities' ecosystems

被引：109
|
作者：
Abella, Alberto [1 ]
Ortiz-De-Urbina-Criado, Marta [1 ]
De-Pablos-Heredero, Carmen [1 ]
机构：
[1] Univ Rey Juan Carlos, Facultad Ciencias Jurid Sociales, Paseo Artilleros,S-N, Madrid 28032, Spain
来源：
CITIES | 2017年 / 64卷
关键词：
Smart cities; Public-private collaboration; Data reusability; Open government data; Data-driven innovation; CITY; SERVICES; REUSE;
D O I：
10.1016/j.cities.2017.01.011
中图分类号：
TU98 [区域规划、城乡规划];
学科分类号：
0814 ; 082803 ; 0833 ;
摘要：
Smart cities are key elements to cope with certain of the largest challenges facing society, such as overpopulation, transport, pollution, sustainability, security, health, and the creation of new firms. Smart cities' portals offer a great amount of data that can be used by the private and public entities to create new services. These data are also a valuable source for the deployment of big data businesses. In this article, a model is presented demonstrating how the data released by the smart cities creates value for the citizens and society. The model operates using three stages. The first one shapes the release of data by the smart city, and it includes several of the dimensions that make data appealing for reuse. The second stage analyses the mechanisms to create innovative products and services. The last stage explains how these products and services impact its society. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：47 / 53
页数：7
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