本文選題：城市土地 + 集約利用�。� 參考：《西安建筑科技大學(xué)》2013年碩士論文

【摘要】：進(jìn)入21世紀(jì)以來，我國城市在工業(yè)化和城市化進(jìn)程的推進(jìn)下規(guī)模不斷擴(kuò)張，面對人多地少，土地后備資源有限的基本國情，政府對土地集約利用不斷加大重視。西安市作為西北的龍頭城市，其城市土地集約利用水平如何？哪些途徑可以提高其集約利用水平？ 本文在借鑒國內(nèi)外學(xué)者有關(guān)城市土地集約利用的研究成果的基礎(chǔ)上，，系統(tǒng)分析影響城市土地集約利用的因素，并結(jié)合西安市的自然、社會(huì)、經(jīng)濟(jì)條件和土地利用現(xiàn)狀，采用經(jīng)驗(yàn)借鑒和專家咨詢相結(jié)合的方法，選取評價(jià)指標(biāo)，分別構(gòu)建了西安市整體城市土地集約利用評價(jià)指標(biāo)體系以及各區(qū)縣城市土地集約利用評價(jià)指標(biāo)體系。然后采用多因素綜合評價(jià)法從時(shí)間上對西安市2000年至2011年的城市土地集約利用水平進(jìn)行了評價(jià)，評價(jià)時(shí)確定指標(biāo)權(quán)重應(yīng)用了德爾菲法和熵值法相結(jié)合的方法；同時(shí)采用因子分析法，從空間上對西安市各區(qū)縣城市土地集約利用水平進(jìn)行了評價(jià)。整體評價(jià)結(jié)果顯示，西安市城市土地集約利用水平從2000年至2011年不斷提高，大致分為波動(dòng)階段、快速提高階段和穩(wěn)定階段，其中土地投入水平和土地產(chǎn)出水平均持續(xù)上升，土地利用強(qiáng)度和土地發(fā)展?jié)摿τ兴陆�，同時(shí)綜合得分反映出西安市與發(fā)達(dá)城市相比還有一定差距，需要繼續(xù)提高；各區(qū)縣評價(jià)結(jié)果顯示碑林區(qū)土地集約利用水平最高，蓮湖區(qū)、新城區(qū)、雁塔區(qū)次之，其他區(qū)域土地集約利用水平偏低。最后根據(jù)評價(jià)結(jié)果分析，提出了依托房地產(chǎn)開的城市土地集約利用提高途徑，構(gòu)建了房地產(chǎn)開發(fā)土地集約利用評價(jià)指標(biāo)體系；同時(shí)，結(jié)合經(jīng)濟(jì)環(huán)境和社會(huì)制度等，給出可行的政策建議。 本文的研究可以為西安市城市土地集約利用評價(jià)提供參考；同時(shí)為西安市優(yōu)化土地利用結(jié)構(gòu)，編制土地利用總體規(guī)劃提供依據(jù)，促進(jìn)西安市城市土地集約利用。
[Abstract]:Since the beginning of the 21st century, the scale of Chinese cities has been expanding under the progress of industrialization and urbanization. In the face of the basic national conditions, such as large population and less land and limited reserve resources of land, the government has been paying more and more attention to the intensive use of land. Xi'an City as a leading city in the northwest, its urban land intensive use level? What are the ways to improve their intensive use? Based on the research results of domestic and foreign scholars on intensive use of urban land, this paper systematically analyzes the factors that affect the intensive use of urban land, and combines the natural, social and economic conditions and the present situation of land use in Xi'an. By using the method of combining experience and expert consultation, the evaluation index system of the whole urban land intensive utilization in Xi'an and the evaluation index system of the urban land intensive utilization in each district and county were constructed respectively by selecting the evaluation index. Then, the multi-factor comprehensive evaluation method is used to evaluate the intensive utilization of urban land in Xi'an from 2000 to 2011, and the method of combining Delphi method and entropy method is used to determine the index weight. At the same time, factor analysis was used to evaluate the level of intensive land use in Xi'an. The overall evaluation results show that the level of intensive land use in Xi'an has been continuously improved from 2000 to 2011, which is roughly divided into three stages: fluctuation stage, rapid improvement stage and stable stage, in which land input level and land output level continue to rise. The intensity of land use and the potential of land development have declined, and the comprehensive score shows that Xi'an has a certain gap with the developed city, and needs to continue to improve. The evaluation results of each district and county show that the level of intensive land use is the highest in the forest area. Lianhu District, Xincheng District, Yanta District, the other regions land intensive use level is low. Finally, according to the analysis of the evaluation results, the paper puts forward the ways to improve the intensive utilization of urban land based on the real estate development, and constructs the evaluation index system of the intensive utilization of the real estate development land, at the same time, combining with the economic environment and social system, etc. Give feasible policy recommendations. The research in this paper can provide a reference for the evaluation of urban intensive land use in Xi'an, optimize the structure of land use, make the general planning of land use, and promote the intensive use of urban land in Xi'an.
【學(xué)位授予單位】：西安建筑科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：F301.2

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