Smart water metering as a non-invasive tool to infer dwelling type and occupancy – Implications for the collection of neighbourhood-level housing and tourism statistics-Reference-Cited by-同舟云学术

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Smart water metering as a non-invasive tool to infer dwelling type and occupancy – Implications for the collection of neighbourhood-level housing and tourism statistics

Published:2023-10 Issue: Volume:105 Page:102028
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Newing A.,Hibbert O.,Van-Alwon J.,Ellaway S.,Smith A.

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference71 articles.

1. Beyond the traditional - Data Science in Official Statistics. Seminar delivered at Leeds Institute for Data Analytics (LIDA), 22nd February 2018;Abbott,2018

2. An empirical water consumer segmentation and the characterisation of consumption patterns underpinning demand peaks;Abu-Bakar;Resources, Conservation and Recycling,2021

3. Inferring tourist dwelling characteristics and occupancy patterns using high temporal resolution water metering data. Technical report prepared for the ONS;van Alwon,2022

4. Electricity consumption and household characteristics: Implications for census-taking in a smart metered future;Anderson;Computers, Environment and Urban Systems,2016

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1. Housing Price-Vacancy Dynamics—An Empirical Study of the Hong Kong Housing Market;International Journal of Financial Studies;2024-07-29

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