| Title |
Framework for Smart City Model Composition: Choice of Component Design Models and Risks |
| ID_Doc |
39135 |
| Authors |
Chun, SA; Kim, D; Cho, JS; Chuang, M; Shin, S; Jun, D |
| Title |
Framework for Smart City Model Composition: Choice of Component Design Models and Risks |
| Year |
2021 |
| Published |
International Journal Of E-Planning Research, 10, 3 |
| DOI |
10.4018/IJEPR.20210701.oa4 |
| Abstract |
This paper is a reflective overview of the knowledge on online conversion of services in the perspective of urban planning. It points that traditional planning aimed at building optimal spatial relationships between particular functions in urban environment. Appropriate decision-making rules had been introduced, contributing to a hierarchical land-use structure. This conventional approach has been recently challenged by the rapid ICT development which added a lively, virtual, non-spatial dimension of urban economy. The well-established foundations of urban planning started to shake, calling for a new paradigm. This paper looks for an alternative to traditional planning which would be able to develop policies for omnichannel services (i.e., enterprises that use both online and offline channels for communicating and distributing their products). The advantages of 'e-planning' in managing omnichannel services are outlined and a conclusion is drawn that only a multi-channel approach can bring appropriate answers to contemporary developments in services sector. |
| Author Keywords |
AI; Big Data; Component Design Choices; Composition of Design Models; Intelligent Society; Seoul Business Analysis Service; Smart City Design Models; Taipei Real-Time Construction Information Systems |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000603367900005 |
| WoS Category |
Regional & Urban Planning |
| Research Area |
Public Administration |
| PDF |
https://www.igi-global.com/ViewTitle.aspx?TitleId=269467&isxn=9781799862543
|