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兼顾共性基础与个性特色的智慧园区评价方法
引用本文:郭欢,王伟玺,李晓明,汤圣君,邓媛媛. 兼顾共性基础与个性特色的智慧园区评价方法[J]. 地球信息科学学报, 2022, 24(6): 1061-1072. DOI: 10.12082/dqxxkx.2022.210815
作者姓名:郭欢  王伟玺  李晓明  汤圣君  邓媛媛
作者单位:1.深圳大学智慧城市研究院 粤港澳智慧城市联合实验室,深圳 5180602.深圳大学建筑与城市规划学院,深圳 518060
基金项目:国家自然科学基金项目(41971354, 41801392, 41971341);广东省基础与应用基础研究基金项目(2021A1515012574)
摘    要:作为智慧城市的重要组成和微观缩影,智慧园区建设十分重要,而评价方法是评估园区建设水平、促进园区健康发展的关键要素。当前,随着新一代信息通信技术(Information and Communications Technology,ICT)的高速发展,及全生命周期管理等先进理念的贯彻实践,智慧园区建设与发展欣欣向荣。然而,与之一体的评价方法却关注鲜少,存在迭代缓慢和类型单一等问题,可能会影响对智慧园区发展水平的客观评价。鉴于此,论文在充分继承原有方法的先进基础上,提出兼顾共性基础与个性特色的CCI(Commonality Combined with Individuality,CCI)智慧园区评价方法,其中,CCI评价指标体系共包括8个一级指标、30个二级指标和63个三级指标。共性评价指标是所有园区共有的基础指标,是必选项,充分融合全生命周期管理的理念,围绕智慧园区顶层设计基础层-平台层-应用层的基本架构展开梳理;个性评价指标是个别园区特有的特色指标,是可选项,需要依据园区的实际产业生产流程或业务内容展开分析。同时,以深圳市智慧妈湾作为实证案例,构建CCI评价指标体系并应用层次分析法(An...

关 键 词:CCI  共性结合个性  智慧园区  顶层设计  评价指标体系  全生命周期  层次分析法
收稿时间:2021-12-18

The Smart Park Evaluation Method That Takes into Account Common Ground and Individual Characteristics
GUO Huan,WANG Weixi,LI Xiaoming,TANG Shengjun,DENG Yuanyuan,null null. The Smart Park Evaluation Method That Takes into Account Common Ground and Individual Characteristics[J]. Geo-information Science, 2022, 24(6): 1061-1072. DOI: 10.12082/dqxxkx.2022.210815
Authors:GUO Huan  WANG Weixi  LI Xiaoming  TANG Shengjun  DENG Yuanyuan  null null
Affiliation:1. Smart City Research Institute, Guangdong Hong Kong Macao Smart City Joint Laboratory, Shenzhen 518060, China2. School of architecture and urban planning, Shenzhen University, Shenzhen 518060, China
Abstract:As an important component and microcosm of a smart city, the construction of a smart park is very important, and the evaluation method is a key element in assessing the level of construction and promoting the healthy development of the park. At present, with the rapid development of the new generation of Information and Communications Technology (ICT) and the implementation of advanced concepts such as total life cycle management, the construction and development of smart parks are flourishing. However, little attention has been paid to the evaluation methods that are integrated with them, and there are problems such as slow iteration and single type, which may affect the objective evaluation of the development level of smart parks. In view of this, this study proposes the Commonality Combined with Individuality (CCI) smart park evaluation method, which takes into account the commonality basis and individuality characteristics, based on the advanced inheritance of the original method. The CCI evaluation index system consists of 8 primary indicators, 30 secondary indicators, and 63 tertiary indicators. The common evaluation indicators are the basic indicators common to all parks, which are mandatory and fully integrate the concept of total life cycle management, and are based on the basic structure of the foundation layer - platform layer - application layer of the top-level design of the smart park. The individual evaluation indicators are the characteristic indicators unique to individual parks, which are optional and need to be analyzed according to the actual industrial production process or business content of the park. At the same time, using Shenzhen Smart Ma Wan as an study case, the CCI evaluation index system is constructed and the Analytic Hierarchy Process (AHP) is applied to carry out a comprehensive evaluation, and development recommendations are given in conjunction with the evaluation results: the overall level of Smart Ma Wan is high, which is in line with its target positioning of becoming a benchmark for smart cities in early demonstration zones. However, there is still some room for improvement in the areas of smart platform, smart logistics, smart finance, and smart culture and creativity. Finally, the consistency of the evaluation results with the actual situation of Smart Ma Wan demonstrates the scientific and feasibility of the CCI Smart Park evaluation methodology.
Keywords:CCI  commonality combined with individuality  smart park  top-level design  evaluation index system  full life cycle  analytic hierarchy process  
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