摘要
城市的宜居性是指城市在经济、社会、文化、环境方面协调发展,人居环境良好,能够满足居民物质和精神生活需求,适宜人类生活、工作和居住的性质。长春作为吉林省的省会及吉林省政治、经济、文化和交通中心,自20世纪80年代起进入快速发展期,在城市经济建设方面取得巨大成就的同时,出现了城住房紧张、交通堵塞、环境污染等一系列城市问题。在这一社会背景下,建设宜居城市显得尤为必要与紧迫。本论文进行长春市城区的城市宜居性评价研究,以GIS与遥感作为技术手段,提取制约长春市宜居性的因素因子,建立评价指标模型,采用均方差——主成分分析法,确定指标因子权重,运用多目标线性加权函数——综合比较法进行长春市宜居性评价,并与问卷调查获得的居民主观满意度进行了耦合分析。
论文具体包括如下研究内容:
1、论文根据长春市城市规模和具体条件,针对多来源、多形式、多尺度的基础数据源,利用GIS和遥感方法,进行了综合集成与融合处理,并采用栅格化方法、空间插值法、窗口分析等方法,对长春市宜居性主要影响因子进行了提取并建立了因子空间数据库。
2、论文总结了国内外宜居性评价理论和方法,并以此为基础,建立了由目标层、准则层、因素层、指标层构成的宜居性评价指标体系,采用均方差——主成分分析法确定各层指标权重,避免了定权过程中人为因素的影响,同时按多目标线性加权函数法,在获取各层次量化指标值的同时,进行了研究区自然环境条件、人文环境条件及研究区总体宜居性的评价分析。
3、论文在宜居性评价分析中,采用栅格单元作为建模分析的基本单元,兼顾栅格数据量和数据精度,通过数学分析方法确定了栅格单元的最适宜大小为100m×100m。
4、论文通过数学方法,将宜居性居民满意度调查问卷中获取的定性指标值进行了量化处理,并通过主成分分析法确定了各指标权重以计算便利性、舒适性、健康性和安全性指标的主观满意度,并与评价指标体系中的人文环境对应指标进行多元回归分析以获取人文环境各指标对宜居性居民主观满意度的影响强弱及量级,确定了宜居性建设中高度关注、优先改进、维持优势及无关紧要的各方面。
5、论文根据各栅格单元的总体宜居度,将研究区30552个栅格划分为Ⅰ类、Ⅱ类、Ⅲ类、Ⅳ类宜居区,同时根据各街道总体宜居性的主观满意度分值将研究区46个街道划分为一级、二级、三级、四级区域,通过进行以栅格为单元的长春市宜居性和以街道为单元的宜居性居民主观评价的耦合分析,总结了各级居民满意度区域内宜居性环境条件的差异。
本论文利用遥感和GIS技术,为城市宜居性评价提供了多尺度的数据源、空间分析及可视化表达方法,论文的特色和创新在于:
1.在GIS与遥感技术平台支持下,实现了多源数据的综合集成与融合处理,并通过栅格化、空间插值、窗口分析等方法构建了基于像元的城市宜居性评价指标空间数据库,较好地解决了社会统计数据无法与空间位置准确匹配及难以实时更新的问题,与以往研究相比较,能够实现较高分辨率的宜居度空间格局及区域差异的可视化表达。
2.运用均方差—主成分分析法确定评价指标体系中指标因子的权数,建立了多要素、综合定量的长春市宜居性评价模型。利用主成分回归分析法、多目标线性加权函数、耦合分析等方法,将社会调查数据与城市环境背景数据结合,为城市宜居性建设提供量化的参考。
Urban livability is the balanced developments of a city in economy, society, culture, environment and a good inhabitable environment meets the needs of the residents in material and spiritual life and is suitable for human living, working and living. Changchun, the capital and the political, economic, cultural and transportation center of Jilin Province, has developed rapidly since 1980s. However, the city hustle, traffic jams, environmental pollution and a series of urban problems have occurred with the great achievements in economic growth. Under this social environment, construction of urban livability is particularly necessary and urgent. The evaluation of urban livability in this dissertation is conducted by taking GIS and Remote Sensing as technical means to extract the factors of urban livability and establish the index model of the evaluation, the combination of Mean Variance and Principle Component Analysis as the method to determine the index weights of the factors, and the combination of Multi-objective Linear Weighting Function and Comprehensive Comparison to evaluate the livable degree. The coupling analysis with subjective satisfaction of the inhabitants from questionnaire is also conducted in the dissertation.
The contents of the research included in this dissertation are as follows:
1. With the help of GIS and Remote Sensing techniques, the multi-source, multi-form and multi-scale basic data sources are integrated and fused synthetically and the major factors of urban livability are extracted by Raster Data Method, Spatial Interpolation, Window Analysis to establish the spatial database of the factors.
2. Based on the summarization of evaluation theories and methods from home and abroad, the index system of livability evaluation consisting of the target layer, rule layer, factor layer, indicator layer is established and the index weights are determined by the combination of Mean Variance and Principle Component Analysis to avoid the influence of human factors. By the combination of Multi-objective Linear Weighting Function and Comprehensive Comparison, the quantitative values of the indicators are obtained, and the evaluation analysises of the natural environmental conditions, humanistic environmental conditions and the overall livability of the study area are conducted.
3. In the evaluation and analysis of the urban livability, grid cells are taken as the basic units of modeling and analysis. Taking into account the amount and the accuracy of the raster data, the optimum grid cell size of 100m×100m is determined by mathematical analysis.
4. Qualitative index values obtained by the resident satisfaction questionnaire of the urban livability are quantified by mathematical method and the index weights are determined by PC A to evaluate the subjective satisfaction scores of convenience, amenity, health and safety indicators. The multiple regression analysis with the corresponding indicators of the humanistic environment is conducted to obtain the strong or weak influence and its magnitude. The aspects of high attention, priority improvement, domination maintenance and no consequence are also fixed on.
5. The 30552 grids of the study area are divided intoⅠ,Ⅱ,Ⅲ,Ⅳgrade of the livable regions according to the overall livable degrees of the each grid cell and the 46 streets are divided into the primary, secondary, third, fourth-level areas according to livable satisfaction scores of the streets. The impacts of the objective livability conditions on the resident satisfaction are summarized by the coupling analysis between the objective livable degrees taking grid cells as units and the subjective livability evaluation taking the streets as units.
By using GIS and Remote Sensing technique, multi-scale data sources, spatial analysis and visualization methods are provided to the evaluation of urban livability. The peculiarity and innovation of this dissertation lie in:
1. The multi-source data are integrated and fused synthetically with the help of GIS and Remote Sensing techniques and the spatial indicator database of livability evaluation based on the pixels is established by the Raster Data Method, Spatial Interpolation and Window Analysis. The issues of the social statistics that are not able to match the spatial location accurately and difficult to update real-timely can be better resolved. Compared with the previous studies, the spatial patterns of the livability of the higher resolution and visual expression of regional differences can be realized in this dissertation.
2. The index weights of the indicator system are determined by the combination of Mean Variance and Principle Component Analysis and the evaluation model of multi-elements and comprehensive quantization is established. Methods of the Principal Component Regression Analysis, Multiple Objective Linear Weighting Functions, Coupling Analysis are used to provide the quantitative references of urban livability construction by the integration of social investigation data and the background data of the urban environment.
引文
长春市统计局.2009.长春六十年[M].香港:中国国际图书出版社,
陈浮,陈海燕.2000.城市人居环境与满意度评价研究[J].人文地理,15(4):20-23.
崔杰.2011.长春市2010年政府工作报告[R].长春:长春市第十三届人民代表大会第四次会议.
丁凯.2005.宜居:城市透支的救赎[N].经济观察报,10-12(3).
邓清华.2003.生态城市空间结构研究[J].热带地理,23(3):279-283.
董晓峰,郭成利,刘星光等.2009.基于统计数据的中国城市宜居性[J].兰州大学学报(自然科学版),45(5):47-53.
董晓峰,刘星光,刘理臣.2010.兰州市城市宜居性的参与式评价[J].干旱区地理(1):129-133.
董晓峰,杨保军.2008.宜居城市研究进展[J].地球科学进展,23(3):323-326.
封志明,唐焰,杨艳昭等.2007.中国地势起伏度及其与人口分布的相关性[J].地理学报,62(10):1073-1082.
国家测绘局.GB/T 13923—2006基础地理信息要素分类与代码[S].
国家测绘局.GB/T GB/T 20258.2—2006基础地理信息要素数据字典 第2部分:1:50001:10000基础地理信息要素数据字典[S].
国家测绘局.GB/T 20257.2--2006国家基本比例尺地图图式第2部分1:5000[S].
郭廷忠,薛旭方,李蕊.2008.TOPSIS法在开封市化肥河水环境质量评价中的应用[J].气象与环境科学,31(2):63-66.
顾文选,罗亚蒙.2007.宜居城市科学评价标准[J].北京规划建设(1):7-10.
耿艺哲,戚勇.2010.创建宜居长春[J].吉林建筑工程学院学报,27(2):42-44.
郝慧梅,任志远.2009.基于栅格数据的陕西省人居环境自然适宜性测评[J].地理学报,64(4):498-506.
黄荣辉,陈际龙,周连童等.2003.关于中国重大气候灾害与东亚气候系统之间 关系的研究[J].大气科学,27(4):770-785.
韩星.2010.长春市城市宜居性的空间差异及和谐空间引导研究[D].长春:东北师范大学.
韩曦,徐琳瑜,陈彬等.2009.移民型城市生态人居环境评价与优化研究[J].中国人口·资源与环境,19(5):21-27.
何新东,李静.2005.城市生态环境分区遥感综合分析[J].地球信息科学,7(1):126-130.
何晓群.1998.现代统计分析方法与应用[M].北京:中国人民大学出版社.
何永.2005.理解“生态城市”和“宜居城市”[J].北京规划建设(2):92-95.
贺勇.2004.适宜性人居环境研究:”基本人居生态单元”的概念与方法[D].杭州:浙江大学.
简·雅格布斯.2005.美国大城市的死与生[M].金衡山译.上海:译林出版社.
建设部”宜居城市科学评价指标体系研究”项目组.2007.宜居城市科学评价标准[M].北京.
凯文·林奇.2001.城市意象[M].方益萍,何小军译.北京:华夏出版社.
零点集团.2005.中国宜居城市排行榜[J].商务周刊(Z1):46-48.
李嘉菲,李雪铭.2008.城市宜居性居民满意度评价——以大连市为例[J].云南地理环境研究,20(4):76-83.
刘晶晶.2008.地震与中国人如影随形[J].中国国家地理(6):122-129.
李琳,谭炳香,冯秀兰.2008.北京郊区植被覆盖变化动态遥感监测——以怀柔区为例[J].农业网络信息(6):38-41.
李丽萍,郭宝华.2006.关于宜居城市的探讨[J].城市发展研究(5):43-47.
刘旺,张文忠,刘长岐.2004.北京市城市内部人居环境评价及对居住建设的启示[J].华中建筑,22(1):2-3.
刘绍峰.2002.东北地区人居环境综合评价指标体系研究——以长春市为例[D].长春:东北师范大学.
李王鸣,叶信岳,孙于.1999.城市人居环境评价[J1.经济地理,19(20):38-43.
刘维新.2007.以“三大标准”看北京宜居之路[J].北京规划建设(1):46-47.
梁文钊,候典安.2008.宜居城市的主成分分析与评价[J].兰州大学学报(自然科学版),44(04):51-54.
李鑫,郑贱成.2008.基于人居环境湘北地区水文条件的评价[J].经济研究导刊(14):181-183.
刘新华.2001.中国地形起伏度的提取及在水土流失定量评价中的应用[J].水土保持通报,21(1):57-62.
刘新华.2009.因子分析中数据正向化处理的必要性及其软件实现[J].重庆工学院学报(自然科学版),23(9):152-155.
李雪铭,刘秀洋,冀保程.2008.大连城市社区宜居性分异特征[J].地理科学进展,27(4):75-80.
李小英.2007.城市宜居性评价研究——以兰州市为例[D].兰州:兰州大学.
李志刚,吴缚龙.2006.转型期上海社会空间分异研究[J].地理学报,61(2):199-211.
马聪.武文波.2010.阜新地区植被覆盖度变化提取及分析[J].测绘与地理信息,33(1):78-80.
宁越敏,查志强.1999.大都市人居环境评价和优化研究.城市规划,23(6):15-20.
潘玉君.1997.“中国21世纪议程”与地理科学前沿[J].科学学研究,15(2):96-99.
潘耀忠,范一大,史培军等.2003.近50年来中国沙尘暴空间分异格局及季相分布——初步研究[J].自然资源学报,12(1):1-8.
浅见泰司编著.2006.居住环境:评价方法与理论[M].高小路,张文忠等译.北京:清华大学出版社.
邱凌,李后强.2007.理想解法与灰色关联度相结合的宜居城市评价决策模型研究——以四川省地级市为例[J].世界科技研究与发展,29(3):71-75.
钱晓青.2007.居住区规划控制指标宜居度的灰色聚类评价[J].现代城市研究, (12):69-75.
日等端.1977.都市规划(日文)[M].东京:共立出版.
任平,周介铭,张果等.2009.基于RS和GIS技术的人居环境自然适宜性评价——以四川省为例[J].国土与自然资源研究(4):65-66.
任致远.2005.关于宜居城市的拙见[J].城市发展研究,12(4):33-36.
世界环境与发展委员会.1987.我们共同的未来[R].东京:第八次世界环境与发展委员会.
史培军.2003.中国自然灾害系统地图集[M].北京:科学出版社.
沙爽.2009.城市宜居性评价研究[D].郑州:河南大学.
单之蔷.2008.祖国的另一面——多灾多难[J].中国国家地理(6):20-35.
唐焰,封志明,杨艳昭.2008.基于栅格尺度的中国人居环境气候适宜性评价[J].中国资源科学,30(5):648-653.
田银生,陶伟.2000.城市环境的”宜人性”创造[J].清华大学学报(自然科学版),40(S1):21-23.
邬伦,刘瑜,张晶等.2001.地理信息系统——原理、方法和应用[M].北京:科学出版社.
王茂军,张学霞,张文忠.2001.大连市城市内部居住环境评价的空间结构—基于面源模型的分析[J].地理研究,21(6):753-762.
王明涛.1999.多指标综合评价中权系数确定的一种综合分析方法[J].系统工程,17(2):56-61.
吴良镛.1997.“人居二”与人居环境科学[J].城市规划(3):5-9.
王汝发.2008.基于模糊分析的”宜居城市”评估模型[J].湖南城市科学学院学报,17(3):35-38.
吴良镛.人居环境科学[M].北京:中国建筑工业出版社,2001.
吴焱.2009.乌鲁木齐城市宜居性评价与研究[D].乌鲁木齐:新疆师范大学.
王彦超.2010.长春市城市宜居建设的路径与对策研究[D].长春:东北师范大学.
王应明.1998.运用离差最大化方法进行多指标决策与排序[J].系统工程与电子技术(7):26-28.
夏廉博.1986.人类生物气象学[M].北京:气象出版社.
叶宗裕.2003.关于多指标综合评价中指标正向化和无量纲方法的选择[J].浙江统计(4):25-26.
杨凤祥.2009.长春构建完善的绿化生态体系[J].国土绿化,(2):32-33.
尹罡.2007.可持续发展理念下的宜居城市建设[J].理论探讨(5):30-33.
叶立梅.2007.和谐社会视野中的宜居城市建设[J].北京规划建设(1):18-20.
袁锐.2005.试论宜居城市的判别标准[J].经济科学(4):126-128.
杨卫泽,韩之俊.2008.基于TOPSIS的宜居生态市评价研究[J].环境保护,400(14):31-32.
姚玉红,彭斌,胡冰霜.2000.城市区域环境噪声对人生理和心理功能影响研究进展[J].现代预防医学,27(4):571-572.
张成才.2004.GIS空间分析理论与方法[M].武汉:武汉大学出版社.
郑大伟,阮平南.2007.基于网络分析法的广义宜居城市概念[J].城市发展研究,14(3):6-12.
中国城市规划年会.2008.生态文明视角下的城乡规划——2008中国城市规划年会论文集[C].大连:大连出版社.
张慧.2009.城市人居环境宜居性评价研究——以临沂市为例[J].环境科学与技术,32(12):186-189.
张继承.2008.基于RS/GIS的青藏高原生态环境综合评价研究[D].长春:吉林大学.
张京祥.2005.西方城市规划史纲[M].南京:东南大学出版社.
张犁.1996.GIS系统集成的理论与实践[J].地理学报,51(4):306-314.
张文忠.2007.宜居城市的内涵及评价指标体系探讨[J].城市规划学刊,69(3):30-34.
张文忠,尹卫红,张景秋等.2006.中国宜居城市研究报告[M].北京:社会科学文献出版社.
张振国,贾铁飞.2007.基于DEM和RS的旅游开发生态环境适宜性评价研究[J].干早区资源与环境,21(6):63-67.
周志田,王海燕,杨多贵.2004.中国适宜人居城市研究与评价[J].中国人口资源环境,14(1):27-30.
Ai Sakamoto, Hiromichi Fukui.2004. Development and Application of a Livable Environment Evaluation Support System Using Web GIS[J]. Journal of Geographical Systems(6):175-195.
Asami, Y.2001. Residential Environment:Methods and Theory for Evaluation[M]. University of Tokyo Press.
Bryan Pitt.2001. Livable communities and urban forests[J]. The City(11):72-75.
Cities PLUS.2002. A Sustainable Urban System:The Long-term Plan for Greater Varncouver[EB/OL].[02-11].http://www.wd.gc.ca/ced/wuf/livable/default_e.asp.
Gideon E. D. Omuta.1998. The quality of urban life and the perception of livability: A case study of neighbourhoods in Benin city, Nigeria[J]. Social Indicators Research,20(4):417-440.
Guagliardo M F.2004. Spatial Accessibility of Primary Care:Concepts, Methods, and Challenges [J]. International Journal of health Geographic,3(3):1-13.
Gvrd.2002. Annual Report:Livable Region Strategic Plan. Vancouver, Canada: GVRD.
Hahlweg D.1997. "The city as a family" in Lennard, S. H, S von Ungern-Sternberg, H. L. Lennard, eds. Making Cities Livable[C]. International Making Cities Livable Conferences. California, USA:Gondolier Press.
Jian Ge, HOKAO Kazunori.2004. Residential Environment Index System and Evaluation Model Established By Subjective And Objective Methods[J]. Journal of Zhejiang University Science, (5):1028-1034.
Lennard, H. L.1997. "Principles for the Livable City" in Lennard, S. H, S von Ungern-Sternberg, H. L. Lennard, eds. Making Cities Livable[C]. International Making Cities Livable Conferences. California, USA:Gondolier Press.
Mike Douglass.2002. From global intercity competition to cooperation for livable cities and economic resilience in Pacific Asia[J], Environment and Urbanization, 14(1):53-68.
Palej A.2000. Architecture for, by and with Children:A Way to Teach Livable City[C]. International Making Cities Livable Conference, Vienna, Austria.
Peeters D,2000. Thomas I. Distance Prddicting Functions and Applied Location-allocation Models [J]. Geographical Systems(2):167-184.
Peter Evans.2002. Livable Cities? Urban Struggles for Livelihood and Sustainability. California, USA:University of California Press Ltd.
R. Inglehart.1997. Modernization and Postmodernization:Cultural, Economic and Policical Changes in 43 Countries[M]. Princeton:Princeton University Press.
Salzano E.1997. "Seven aims for the livable city" in Lennard, S. H, S von Ungern-Sternberg, H. L. Lennard, eds. Making Cities Livable[C]. International Making Cities Livable Conferences, California:Gondolier Press.
Timothy D. Berg.1999. Reshaping Gotham:The city livable movement and redevelopment of New York city,1961~1998[D]. Purdue University Graduate School.
Vanessa Timmer, Nola-Kate Seymoar.2006. The World Urban Forum 2006[C]. Vancouver Working Group Discussion Paper:the livable city.