董春;尹诗画;张玉;

• 1:中国测绘科学研究院
• 2:辽宁工程技术大学测绘与地理科学学院

摘要(Abstract)：

针对传统人口空间化模型普适性较差,且数据处理较依赖人工操作等缺陷,该文提出了一种基于多智能体模型从微观个体的居住选择入手,在以往学者研究的基础上同时考虑居民居住建筑的内、外部环境因素模拟人口居住空间分布。创新性地以人口智能体为中心,结合GIS利用地理国情数据、POI兴趣点数据、夜间灯光数据、遥感影像数据来模拟居住环境,将心理学和经济学观点引入到智能体对居住地选择的决策行为中,结果表明,基于建筑物内、外部环境的多智能体人口空间分布模型,可以获取高空间分辨率的人口分布情况,且更接近于实际人口分布。

关键词(KeyWords)： 人口;多智能体;空间分布;城市

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金面上项目(71773117);; 国家社会科学基金项目(17BJL004);国家社会科学基金重大项目(18ZDA066);; 中国测绘科学研究院基本科研业务费项目(7771718)

作者(Authors): 董春;尹诗画;张玉;

DOI: 10.16251/j.cnki.1009-2307.2019.08.016

参考文献(References)：

• [1]中国科学研究院可持续发展研究组.中国可持续发展战略报告[R].北京:中国经济出版社,2000.(Chinese Research Academy of Sustainable Development Research Group.China sustainable development strategy report[R].Beijing:Economic Press China,2000.)
• [2]胡焕庸.论中国人口之分布[M].上海:华东师范大学出版社,1983.(HU Huanyong.Essays on China’s population distribution[M].Shanghai:East China Normal University Press,1983.)
• [3]GOODCHILD M F,ANSELIN I,DEICHMANN U.Aframework for the areal interpolation of socioeconomic data[J].Environment and Planning A,1993,25(3):383-397.
• [4]BRACKEN I,MARTIN D.The generation of spatial population distributions from census centroid data[J].Environment and Planning A,1989,21(4):537-543.
• [5]MARTIN D.Mapping population data from zone centroid locations[J].Transactions of the Institute of British Geographers,1989,14(1):90-97.
• [6]WEBSTER C J.Population and dwelling unit estimation from space[J].Third Word Planning Review,1996,18(2):155-176.
• [7]LO C P,WELCH R.Chinese urban population estimates[J].Annals of the Association of American Geographers,1977,67(2):246-253.
• [8]LO C P.Urban indicators of China from radiance-calibrated digital DMSP/OLS nighttime images[J].Annals of the Association of American Geographers,2002,92(2):225-240.
• [9]SUTTON P.Modeling population density with nighttime satellite imagery and GIS[J].Computer,Environment and Urban System,1997,21(3/4):227-244.
• [10]LIU X H,CLARKE K.Estimation of residential population using high resolution satellite imagery[C/OL]∥Proceedings of the 3rd Symposium on Remote Sensing of Urban Areas,2002[2018-10-19].http:∥geog.ucsb.edu/~kclarke/Papers/Liu_clarke_2002.pdf.
• [11]DOUGLASS R W,MEYER D A,RAM M,et al.High resolution population estimates from telecommunications data[J].EPJ Data Science,2015,4(1):4.
• [12]陈述彭,陈秋晓,周成虎.网格地图与网格计算[J].测绘科学,2002,27(4):1-6.(CHEN Shupeng,CHENQiuxiao,ZHOU Chenghu.Grid mapping and grid computing[J].Science of Surveying and Mapping,2002,27(4):1-6.)
• [13]田永中,陈述彭,岳天祥,等.基于土地利用的中国人口密度模拟[J].地理学报,2004,59(2):283-292.(TIANYongzhong,CHEN Shupeng,YUE Tianxiang,et al.Simulation of Chinese population density based on land use[J].Acta Geographica Sinica,2004,59(2):283-292.)
• [14]董南,杨小唤,蔡红艳.基于居住空间属性的人口数据空间化方法研究[J].地理科学进展,2016,35(11):1317-1328.(DONG Nan,YANG Xiaohuan,CAIHongyan.A method for demographic data spatialization based on residential space attributes[J].Progress in Geography,2016,35(11):1317-1328.)
• [15]王珂靖,蔡红艳,杨小唤.多元统计回归及地理加权回归方法在多尺度人口空间化研究中的应用[J].地理科学进展,2016,35(12):1494-1505.(WANG Kejing,CAI Hongyan,YANG Xiaohuan.Multiple scale spatialization of demographic data with multi-factor linear regression and geographically weighted regression models[J].Progress in Geography,2016,35(12):1494-1505.)
• [16]董南,杨小唤,蔡红艳,等.人口密度格网尺度适宜性评价方法研究:以宣州区乡村区域为例[J].地理学报,2017,72(12):2310-2324.(DONG Nan,YANG Xiaohuan,CAI Hongyan,et al.Suitability evaluation of gridded population distribution:a case study in rural area of Xuanzhou distric,China[J].Acta Geographica Sinica,2017,72(12):2310-2324.)
• [17]董春,罗玉波,刘纪平,等.基于Poisson对数线性模型的居民点与地理因子的相关性研究[J].中国人口·资源与环境,2005,15(4):79-84.(DONG Chun,LOUYubo,LIU Jiping,et al.Study on correlation between residential points and geographical factors based on Poisson logarithm linearity model[J].China Population Resources and Environment,2005,15(4):79-84.)
• [18]DONG Chun,ZHAO Rong,LIU Jiping,et al.Application of geographical parameter database to establishment of unit population database[J].Chinese Geographical Sciense,2003,13(1):34-38.
• [19]ZHANG Yu,DONG Chun,LIU Jiping,et al.Gridded population distribution map for the Hebei province of China[J].Environmental Engineering&Management Journal,2015,14(3):673-680.
• [20]吕安民,李成名,林宗坚,等.人口密度的空间连续分布模型[J].测绘学报,2003,32(4):344-348.(LYU Anmin,LI Chengming,LIN Zongjian,et al.Spatial continuous surface model of population density[J].Acta Geodaetica et Cartographica Sinica,2003,32(4):344-348.)
• [21]吕安民,李成名,林宗坚,等.基于遥感影像的城市人口密度模型[J].地理学报,2005,60(1):158-164.(LYUAnmin,LI Chengming,LIN Zongjian,et al.Modeling urban population density with remote sensing imagery[J].Acta Geographica Sinica,2005,60(1):158-164.)
• [22]吕安民,李成名,林宗坚,等.基于GIS的人口信息提取[J].清华大学学报(自然科学版),2005,45(9):1189-1192.(LYU Anmin,LI Chengming,LIN Zongjian,et al.Population data abstraction based on GIS[J].Journal of Tsinghua University(Science and Technology),2005,45(9):1189-1192.)
• [23]廖一兰,王劲峰,孟斌,等.人口统计数据空间化的一种方法[J].地理学报,2007,62(10):1110-1119.(LIAOYilan,WANG Jinfeng,MENG Bin,et al.A method of spatialization of statistical population[J].Acta Geographica Sinica,2007,62(10):1110-1119.)
• [24]周淑丽,陶海燕,卓莉.基于矢量的城市扩张多智能体模拟:以广州市番禺区为例[J].地理科学进展,2014,33(2):202-210.(ZHOU Shuli,TAO Haiyan,ZHUOLi.Vector-based multi-agent simulation of urban expansion:a case study in Panyu district in Guangzhou city[J].Progress in Geography,2014,33(2):202-210.)
• [25]刘小平,黎夏,叶嘉安.基于多智能体系统的空间决策行为及土地利用格局演变的模拟[J].中国科学(D辑:地球科学),2006,36(11):1027-1036.(LIU Xiaoping,LI Xia,YE Jiaan.Simulation of spatial decision behavior and evolution of land use pattern based on multi-agent system[J].Science China(Series D:Earth Science),2006,36(11):1027-1036.)
• [26]卓莉,黄信锐,陶海燕,等.基于多智能体模型与建筑物信息的高空间分辨率人口分布模拟[J].地理研究,2014,33(3):520-531.(ZHUO Li,HUANG Xinrui,TAO Haiyan,et al.High spatial resolution population distribution simulation based on building information and multi-agent[J].Geographical Research,2014,33(3):520-531.)
• [27]BROWN L A,MOORE E G.The intra-urban migration process:aprospective[J].Journal Geografiska Annaler:Series B,Human Geography,1970,52(1):1-13.
• [28]王巍,郑新奇,原智远,等.邻域规则下的遥感图像分类后处理方法研究[J].测绘通报,2015(S2):17-21.(WANG Wei,ZHENG Xinqi,YUAN Zhiyuan,et al.Astudy of post classification method based on neighborhood rules[J].Bulletin of Surveying and Mapping,2015(S2):17-21.)