基于PSF评估模型的城市智慧化发展综合评价研究

发布时间：2018-05-30 20:09

本文选题：智慧城市 + 评价　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：随着智慧城市在世界范围内的高速发展,智慧城市评价的研究已成为学术界新兴的研究热点。然而,从整体而言,我国智慧城市建设普遍存在认知匮乏、规划经验不足及综合协调调度水平低下等问题。这就需要制定一套科学严谨、合理有效、符合市场需求的评价指标体系和评价模型对城市智慧化发展程度进行综合评价,据此准确定位智慧城市的建设目标,明晰智慧城市的发展需求与短板,完善智慧城市的管理机制,从而对城市智慧化发展提供指导与借鉴。针对国内外对智慧城市评价指标选取依据不科学、测度评价标尺和工具不统一、主观性太强等不足,本文在基于城市系统论的理论基础上:首先,根据PSF评估模型,将智慧城市自下而上地划分为:投入支承层、系统应用层和核心目标层。根据该层次结构,将智慧城市划分为智慧基础设施、智慧管理、智慧人群等6个子要素,从而建立了城市智慧化发展综合评价指标体系。其次,本文根据城市智慧化发展综合评价指标体系的特点,利用层次分析法(AHP),结合专家的意见建立判断矩阵,确定综合评价指标的各指标权重,进而合成综合评价指数。再次,为表征城市智慧化发展综合评价指标的非线性特点,本文采用神经网络构建相应的综合评价模型,从而更精确地量化城市智慧化发展综合评价指标。最后,分别采用AHP、AHP-BP、AHP-ELM模型对我国151个城市的智慧化发展水平做出评价,并从模型精度、时间开销等角度对其进行对比。仿真结果显示,AHPELM模型为最佳模型。
[Abstract]:With the rapid development of intelligent cities in the world, the research on the evaluation of intelligent cities has become a new research hotspot in academia. However, on the whole, there are many problems in the construction of intelligent cities in China, such as lack of cognition, lack of planning experience and low level of comprehensive coordination and scheduling. Therefore, it is necessary to formulate a set of scientific and rigorous, reasonable and effective evaluation index system and evaluation model to evaluate the degree of urban intelligent development, and to accurately locate the construction goal of intelligent city. In order to provide guidance and reference for the development of intelligent cities, it is clear that the development needs and shortcuts of intelligent cities should be clarified, and the management mechanism of intelligent cities should be perfected. In view of the unscientific basis for the evaluation index selection of intelligent cities at home and abroad, the lack of unity of measurement and evaluation scales and tools, and too strong subjectivity, this paper is based on the theory of urban system theory: firstly, according to the PSF evaluation model, The intelligent city is divided from bottom to top into three layers: input support layer, system application layer and core target layer. According to this hierarchical structure, the intelligent city is divided into six sub-elements, such as intelligent infrastructure, intelligent management, intelligent crowd, and so on, and thus the comprehensive evaluation index system of urban intelligent development is established. Secondly, according to the characteristics of the comprehensive evaluation index system of urban intelligent development, using the analytic hierarchy process (AHP) and expert's opinion, the judgment matrix is established, the weight of each index of the comprehensive evaluation index is determined, and then the comprehensive evaluation index is synthesized. Thirdly, in order to characterize the nonlinear characteristics of the comprehensive evaluation index of urban intelligent development, this paper uses neural network to construct the corresponding comprehensive evaluation model, so as to quantify the comprehensive evaluation index of urban intelligent development more accurately. Finally, the AHP-BP- AHP-ELM model is used to evaluate the development level of intelligence in 151 cities in China, and the model precision and time cost are compared. The simulation results show that the AHPELM model is the best model.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F224;F49;F299.2

【参考文献】