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Mapping for the future: Business intelligence tool to map regional housing stock

Journal Article


Abstract


  • The amount of data available and the lack of data integration represent an increasing challenge to effective planning

    for government agencies. Integration of data from multiple sources has the potential to enable a user to draw

    valuable insights, which can be used to enhance service targeting and delivery, and to improve program evaluation.

    In recognition of the need to improve data integration the University of Wollongong and the NSW Office of

    Environment and Heritage (OEH) partnered to create an integrated housing stock database for the Illawarra region.

    The database serves as the backbone for an online and interactive Housing Stock Mapping Dashboard (HSMD). It

    assembled multilevel granular information (including at the Statistical Area Level 1 (SA1) and Local Government

    Area (LGA) level) collected from multiple historical programs by multiple agencies. This centralised, integrated

    data repository can help agencies understand the existing housing stock, and improve access to information to

    support evidence-based policy.

    This paper presents a model of how data can be integrated from multiple agencies to provide an online

    collaboration platform. The platform, HSMD, was designed to demonstrate to government, industry, and the

    research community the opportunity of data integration and advanced analytics. Potential applications of the

    HSMD include characterisation of the existing housing stock according to a range of building attributes, for instance

    the presence of ceiling insulation or rainwater tanks. Comparison of these attributes with energy consumption data

    can indicate the influence of the attribute, or the impact of a specific intervention. This can help policy makers

    understand uptake and penetration of previous rebate schemes.

Publication Date


  • 2017

Citation


  • Safadi, M., Ma, J., Wickramasuriya, R., Daly, D., Perez, P. & Kokogiannakis, G. (2017). Mapping for the future: Business intelligence tool to map regional housing stock. Procedia Engineering, 180 1684-1694.

Scopus Eid


  • 2-s2.0-85020816591

Number Of Pages


  • 10

Start Page


  • 1684

End Page


  • 1694

Volume


  • 180

Place Of Publication


  • Netherlands

Abstract


  • The amount of data available and the lack of data integration represent an increasing challenge to effective planning

    for government agencies. Integration of data from multiple sources has the potential to enable a user to draw

    valuable insights, which can be used to enhance service targeting and delivery, and to improve program evaluation.

    In recognition of the need to improve data integration the University of Wollongong and the NSW Office of

    Environment and Heritage (OEH) partnered to create an integrated housing stock database for the Illawarra region.

    The database serves as the backbone for an online and interactive Housing Stock Mapping Dashboard (HSMD). It

    assembled multilevel granular information (including at the Statistical Area Level 1 (SA1) and Local Government

    Area (LGA) level) collected from multiple historical programs by multiple agencies. This centralised, integrated

    data repository can help agencies understand the existing housing stock, and improve access to information to

    support evidence-based policy.

    This paper presents a model of how data can be integrated from multiple agencies to provide an online

    collaboration platform. The platform, HSMD, was designed to demonstrate to government, industry, and the

    research community the opportunity of data integration and advanced analytics. Potential applications of the

    HSMD include characterisation of the existing housing stock according to a range of building attributes, for instance

    the presence of ceiling insulation or rainwater tanks. Comparison of these attributes with energy consumption data

    can indicate the influence of the attribute, or the impact of a specific intervention. This can help policy makers

    understand uptake and penetration of previous rebate schemes.

Publication Date


  • 2017

Citation


  • Safadi, M., Ma, J., Wickramasuriya, R., Daly, D., Perez, P. & Kokogiannakis, G. (2017). Mapping for the future: Business intelligence tool to map regional housing stock. Procedia Engineering, 180 1684-1694.

Scopus Eid


  • 2-s2.0-85020816591

Number Of Pages


  • 10

Start Page


  • 1684

End Page


  • 1694

Volume


  • 180

Place Of Publication


  • Netherlands