住宅需求

  • 网络housing demand
住宅需求住宅需求
  1. 其次,利用归纳总结法和分析法找出了广州市住宅需求的主要影响因素,并利用SPSS软件对广州市房地产需求的影响因素进行了相关性分析。

    Secondly , we use inductive summary method and analysis method to identify the main factors of the Guangzhou City housing demand , and correlation analysis using SPSS software to detect the influencing factors of the demand for real estate in Guangzhou City .

  2. 杭州市商品住宅需求弹性分析及占用模式研究

    Study of Housing Demand Elasticity and Impropriate Pattern of Housing Service of Hangzhou

  3. 对新住宅需求的主要结果是促使价格上涨。

    The principal effect of the demand for new houses was to inflate prices .

  4. 分析了住宅需求的影响因素,建立了住宅市场需求的BP神经网络预测模型。

    Factors influencing house demand are analyzed and a prediction model of house demand based on BP neural network is established .

  5. 基于偏好理论的绿色生态住宅需求模型分析

    Demand model analysis of green ecological residence based on preference theory

  6. 武汉市城市住宅需求研究

    Analysis and Prediction of Housing Demends of Wuhan Urban Residents

  7. 试论重庆市住宅需求的一般趋势

    On the General Trend of the Residence Demand in Chongqing

  8. 对于消费者的需求方面,分析了影响消费者商品住宅需求的主要因素对企业定价的影响。

    In Chapter ⅱ, we analyzed the factors influencing commercial apartments pricing .

  9. 西安地区经济适用住宅需求与套型设计研究

    Requirement for the Economic Affordable Housing and Design of Patterns in Xi'an

  10. 邻近地区具有庞大之住宅需求。

    There is a vast demand for dwelling houses in the ambient areas .

  11. 重庆市主城区住宅需求总量预测模型

    An Aggregate Demand Forecasting Model on the Residence of Chongqing Main City Zone

  12. 论住宅需求、居住选址与居住分异

    Housing demand , residential location and residential differentiation

  13. 迅速的城市化进程和日益壮大的中产阶层,将继续维系住宅需求。

    Rapid urbanisation and a growing middle class will continue to underpin housing demand .

  14. 基于系统动力学的杭州市主城区住宅需求仿真研究

    The Simulation of Housing Demand on Residential Land in Hangzhou Based on System Dynamics

  15. 西安地区城市中小套型住宅需求的分析研究

    Study on Requirement of Medium and Small-sized Dwelling Unit Type for Urban Residence in Xi'an

  16. 2001&2010年天津市城镇住宅需求量预测

    Prediction of Housing Demands of Tianjin Urban Residents During the Years From 2002 to 2010

  17. 对城市住宅需求和区位发展潜力进行了预测研究;

    Then this dissertation studies the forecasting model to residence demand , region development potential .

  18. 不同类别住宅需求比例研究

    Research on Demand Ratio of Different Houses

  19. 4住房的潜在需求分析(分析人口增长和生活水平提高等因素引起的住宅需求)

    Analysis on potential demands of housing .

  20. 3住宅需求的特点(主要介绍住宅作为一种特殊商品所具有的个性)

    Character of housing demands . ( Mainly on housing specific character as special goods . )

  21. 主要从消费者个人特征和商品住宅需求两个方面分析。

    Mainly from two respect analysis of consumer 's personal characteristic and commercial residential building demand .

  22. 最后为使该模型具有可操作性,在绿色生态住宅需求模型的基础上将模型改进,增加假设使其具有实践可操作性。

    In order to make it operable , improving the demand mode , apply it into practice .

  23. 然后采用面板数据分析方法,分析了永久收入与住宅需求和住宅供给的关系。

    It is followed by the relationship of permanent income and housing demand and supply with panel data .

  24. 第四章中采用了实证研究方法,用主要影响因素与住宅需求量相关的实测数据建立了数学模型。

    In Chapter 4 , we erected mathematics model based on the practical data of influencing factors and demands .

  25. 随着贷款环境收紧,7月份美国住宅需求急剧下降,跌至6年低点。

    Demand for homes in the US fell dramatically to a six-year low as lending conditions tightened in July .

  26. 人口老龄化对住宅需求影响日益显现,对老年人的住宅需求应给与更多重视。

    An aging population increasingly impact on housing demand , housing needs of the elderly should be given more attention .

  27. 研究发现,不同属性特征的老年人具有不同的居家养老型住宅需求。

    The study finds that the elderly persons with the different attributive features have different demands on home-based care residence .

  28. 为刺激萎靡的新建住宅需求,开发商近来普遍打出折扣。

    Discounts have lately become common practice in Hong Kong as developers hope to stoke lagging demand of new homes .

  29. 为适应当今住宅需求的特征,住宅建设创新要求新的理念,以不断提高静态住宅对居住动态需求的适应性。

    Building construction innovation needs new theory to improve the adaptability of present housing to conform with future housing demands .

  30. 通过分析得出,在环境方面,国内社会稳定,经济持续快速发展,居民住宅需求持续增加。

    Derives through analysis of the environment , social stability , sustained and rapid development , residential demand continued to increase .