Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

    A Study of Influencing Factors and Spatial Distribution in High-Rise Residential Prices

    New search for: Jia, Shijun
    New search for: Cai, Di

    Based on 596 high-rise residential buildings in Guangzhou, the influencing factors of housing price were measured by spatial autoregressive model. The spatial distribution map was drawn by Kriging, and its disciplines were summarized. We found that: Location, neighborhood and structure features on contribution to unit price were 9.79%, 29.22% and 60.99% respectively in a standard housing of Guangzhou. The urban core area of Guangzhou was surrounded by the contour line of 20000 Yuan/m2, and its shape looked like a sea turtle. The area whose contour line was 15000 Yuan/m2 covered the urban build-up area of Guangzhou, and its shape looked like a piece of Pizza.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    A Study of Influencing Factors and Spatial Distribution in High-Rise Residential Prices

    New search for: Jia, Shijun
    New search for: Cai, Di

    Based on 596 high-rise residential buildings in Guangzhou, the influencing factors of housing price were measured by spatial autoregressive model. The spatial distribution map was drawn by Kriging, and its disciplines were summarized. We found that: Location, neighborhood and structure features on contribution to unit price were 9.79%, 29.22% and 60.99% respectively in a standard housing of Guangzhou. The urban core area of Guangzhou was surrounded by the contour line of 20000 Yuan/m2, and its shape looked like a sea turtle. The area whose contour line was 15000 Yuan/m2 covered the urban build-up area of Guangzhou, and its shape looked like a piece of Pizza.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    A Study of Influencing Factors and Spatial Distribution in High-Rise Residential Prices

    New search for: Jia, Shijun
    New search for: Cai, Di

    Based on 596 high-rise residential buildings in Guangzhou, the influencing factors of housing price were measured by spatial autoregressive model. The spatial distribution map was drawn by Kriging, and its disciplines were summarized. We found that: Location, neighborhood and structure features on contribution to unit price were 9.79%, 29.22% and 60.99% respectively in a standard housing of Guangzhou. The urban core area of Guangzhou was surrounded by the contour line of 20000 Yuan/m2, and its shape looked like a sea turtle. The area whose contour line was 15000 Yuan/m2 covered the urban build-up area of Guangzhou, and its shape looked like a piece of Pizza.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    A Study of Influencing Factors and Spatial Distribution in High-Rise Residential Prices

    Contributors:

    Jia, Shijun (author) / Cai, Di (author)

    Conference:

    International Conference on Construction and Real Estate Management 2013 ; 2013 ; Karlsruhe, Germany

    Published in:

    ICCREM 2013 ; 1036-1044

    Publication date:

    2013-10-07

    ISBN:

    9780784413135

    DOI:

    https://doi.org/10.1061/9780784413135.099

    Type of media:

    Conference paper

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Real estate properties , Sustainable development , Project management , High-rise buildings , Residential buildings , China , Land use , Risk management , Urban development , Construction industry , Infrastructure , Facilities , Pricing

    Similar titles

    Spatiotemporal Evolution and Influencing Factors of Residential Prices in Zhengzhou

    Yafei Wang / Tian Cui / Wenyu Zhong et al. | DOAJ | 2025

    Free access

    A Study of Micro-Space Differentiation on High-Rise Residential Prices

    Jia, Shijun / Cai, Di / Shi, Jingxin | ASCE | 2014

    Multiple influencing factors analysis of household energy consumption in high-rise residential buildings: Evidence from Hong Kong

    Du, Jia / Yu, Cong / Pan, Wei | Springer Verlag | 2020

    Spatial Analysis of Residential Prices in Istanbul

    Ozus, Evren | Online Contents | 2007

    Exploring the factors influencing building sustainability of low-cost low-rise residential towards user satisfaction

    Norazman, Norsafiah / Mohd Nashruddin, Siti Nurul Asma’ / Che-Ani, Adi Irfan | Emerald Group Publishing | 2024

    Back to top