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上海市商务办公楼租金差异及其影响因素
引用本文:石忆邵,范胤翡. 上海市商务办公楼租金差异及其影响因素[J]. 地理研究, 2008, 27(6): 1427-1436
作者姓名:石忆邵  范胤翡
作者单位:同济大学测量与国土信息工程系
基金项目:国家自然科学基金资助项目(40371034)
摘    要:上海房地产市场在国家房产新政下出现了较大的转折,商务办公楼市场升温。本文从总体上分析了上海部分区域商务办公楼的平均租金差异,并选择商务办公楼比较集中的南京路、延安路和淮海路三条线路作为典型调查区段,共采集24个样本区域、66幢甲级商务办公楼、492个具体样本资料,运用多元线性回归分析方法,揭示了上海市商务办公楼租金差异与地理区位、服务设施、交通条件、平均层数、平均停车位及绿化景观6个影响因子的相互作用关系。回归分析结果表明:服务设施和停车位是影响上海市商务办公楼租金差异的主要因子;其次为绿化景观、地理区位和交通条件;而平均层数的影响甚微。最后针对上海商务办公楼多中心化趋势,就有关问题进行了分析和讨论。

关 键 词:商务办公楼  租金差异  影响因素  多元回归分析  多中心格局  上海市
收稿时间:2008-02-12
修稿时间:2008-05-15

Rent differentiation in commercial-office buildings and impact factors of Shanghai
SHI Yi-shao,FAN Yin-fei. Rent differentiation in commercial-office buildings and impact factors of Shanghai[J]. Geographical Research, 2008, 27(6): 1427-1436
Authors:SHI Yi-shao  FAN Yin-fei
Affiliation:Dept. of Surveying and Land Information Engineering, Tongji University, Shanghai 200092, China
Abstract:Recently,under the national new policies of real estates,the commercial-office buildings in Shanghai real estates market are now flourishing.Both the sale price and rent price of commercial-office buildings rise.On the basis of reviewing the existing research at home and abroad,the authors analyze the development situation and features of Shanghai commercial-office buildings,and reveal the rent differentiation of Shanghai commercial-office buildings.By means of collecting rental price samples of commercial-office buildings,which are distributed in the Nanjing Road,the Yanan Road and the Huaihai Road,altogether 24 sample areas,and with the help of multivariate linear regression analysis method,the authors analyze the interaction relations between the rent price of Shanghai commercial-office buildings and geographical location,service facilities,traffic conditions,average floors,average parking spaces and virescent coverage.The regression analysis results show that service facilities and average parking spaces are the main factors affecting the rents of Shanghai commercial-office buildings.The factors of virescent coverage,geographical location and traffic conditions are secondary.The factor of average floors is not remarkable.Finally,aimed at the multi-central patterns of Shanghai commercial-office buildings,some relative issues for further development and administration of commercial-office buildings are discussed.
Keywords:commercial-office buildings  rent differentiation  impact factors  multivariate linear regression analysis  multi-central pattern  Shanghai
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