Infrastructure

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  • Stats in brief: 11-001-X202307936644
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2023-03-20

  • Articles and reports: 11-637-X202200100009
    Description:

    As the ninth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation by 2030. This 2022 infographic provides an overview of indicators underlying the ninth Sustainable Development Goal in support of industry, innovation and infrastructure, and the statistics and data sources used to monitor and report on this goal in Canada.

    Release date: 2022-12-13

  • Stats in brief: 11-001-X202230126904
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-10-28

  • Stats in brief: 11-001-X202227026903
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-09-27

  • Stats in brief: 11-001-X202220725563
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-07-26

  • Stats in brief: 11-001-X202214419114
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-05-24

  • Stats in brief: 11-001-X202211119129
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-04-21

  • Articles and reports: 18-001-X2021003
    Description:

    Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.

    Release date: 2022-01-21

  • Stats in brief: 11-627-M2021030
    Description:

    An infographic highlighting infrastructure assets of the Metis Settlements of Alberta from Canada's Core Public Infrastructure Survey for 2018. Data on roads, water-related infrastructure, and culture, recreation and sports facilities are presented.

    Release date: 2021-04-08

  • Articles and reports: 18-001-X2020002
    Description:

    This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.

    Release date: 2020-12-08
Reference (2)

Reference (2) ((2 results))

  • Surveys and statistical programs – Documentation: 34-26-0002
    Description:

    As of reference year 2018, the Annual Capital and Repair Expenditures Survey (CAPEX) has added additional content allowing to produce estimates of capital and repair expenditures on infrastructure assets. In addition to the existing content, the new questionnaire asks for a breakdown of expenditures by function (or purpose) as well as the source of funding of capital expenditures from government grants and subsidies.

    This product will decribe the sources and methods used to produce capital and repair expenditure estimates specific to infrastructure assets by function.

    Release date: 2020-04-01

  • Surveys and statistical programs – Documentation: 15-206-X2008016
    Description:

    This paper focuses on the role of investments in infrastructure in Canada. The size of infrastructure investments relative to other capital stock sets this country apart from most other Organisation for Economic Co-operation and Development countries. The paper reviews the approaches taken by other researchers to define infrastructure. It then outlines a taxonomy to define those assets that should be considered as infrastructure and that can be used to assess the importance of different types of capital investments. It briefly considers how to define the portion of infrastructure that should be considered 'public'. The final two parts of the paper apply the proposed classification system to data on Canada's capital stock, and ask the following questions: how much infrastructure does Canada have and in which sectors of the economy is this infrastructure located? Finally, the paper investigates how Canada's infrastructure has evolved over the last four decades, both in the commercial and non-commercial sectors, and compares these trends with the pattern that can be found in the United States.

    Release date: 2008-03-12
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