本文選題：智慧城市 + 評(píng)價(jià)��； 參考：《哈爾濱工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著智慧城市在世界范圍內(nèi)的高速發(fā)展,智慧城市評(píng)價(jià)的研究已成為學(xué)術(shù)界新興的研究熱點(diǎn)。然而,從整體而言,我國智慧城市建設(shè)普遍存在認(rèn)知匱乏、規(guī)劃經(jīng)驗(yàn)不足及綜合協(xié)調(diào)調(diào)度水平低下等問題。這就需要制定一套科學(xué)嚴(yán)謹(jǐn)、合理有效、符合市場(chǎng)需求的評(píng)價(jià)指標(biāo)體系和評(píng)價(jià)模型對(duì)城市智慧化發(fā)展程度進(jìn)行綜合評(píng)價(jià),據(jù)此準(zhǔn)確定位智慧城市的建設(shè)目標(biāo),明晰智慧城市的發(fā)展需求與短板,完善智慧城市的管理機(jī)制,從而對(duì)城市智慧化發(fā)展提供指導(dǎo)與借鑒。針對(duì)國內(nèi)外對(duì)智慧城市評(píng)價(jià)指標(biāo)選取依據(jù)不科學(xué)、測(cè)度評(píng)價(jià)標(biāo)尺和工具不統(tǒng)一、主觀性太強(qiáng)等不足,本文在基于城市系統(tǒng)論的理論基礎(chǔ)上:首先,根據(jù)PSF評(píng)估模型,將智慧城市自下而上地劃分為:投入支承層、系統(tǒng)應(yīng)用層和核心目標(biāo)層。根據(jù)該層次結(jié)構(gòu),將智慧城市劃分為智慧基礎(chǔ)設(shè)施、智慧管理、智慧人群等6個(gè)子要素,從而建立了城市智慧化發(fā)展綜合評(píng)價(jià)指標(biāo)體系。其次,本文根據(jù)城市智慧化發(fā)展綜合評(píng)價(jià)指標(biāo)體系的特點(diǎn),利用層次分析法(AHP),結(jié)合專家的意見建立判斷矩陣,確定綜合評(píng)價(jià)指標(biāo)的各指標(biāo)權(quán)重,進(jìn)而合成綜合評(píng)價(jià)指數(shù)。再次,為表征城市智慧化發(fā)展綜合評(píng)價(jià)指標(biāo)的非線性特點(diǎn),本文采用神經(jīng)網(wǎng)絡(luò)構(gòu)建相應(yīng)的綜合評(píng)價(jià)模型,從而更精確地量化城市智慧化發(fā)展綜合評(píng)價(jià)指標(biāo)。最后,分別采用AHP、AHP-BP、AHP-ELM模型對(duì)我國151個(gè)城市的智慧化發(fā)展水平做出評(píng)價(jià),并從模型精度、時(shí)間開銷等角度對(duì)其進(jìn)行對(duì)比。仿真結(jié)果顯示,AHPELM模型為最佳模型。
[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.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F224;F49;F299.2

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