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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1680/dtbe.6...
Part of book or chapter of book . 2022 . Peer-reviewed
Data sources: Crossref
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Data acquisition

Authors: Qiuchen Lu; Xiang Xie; Ajith Kumar Parlikad; Jennifer Schooling; Michael Pitt;

Data acquisition

Abstract

This chapter will introduce the data acquisition layer, designed for capturing heterogeneous data resources from the urban built environment. A lifecycle-based, stakeholder-oriented and interdependence-compliant data valuation framework is first presented, formulating a more holistic appreciation when designing data acquisition solutions for urban infrastructure. Meanwhile, common data sources for buildings, rail and road transportation, telecommunication networks, power grids and water supply networks are briefly described.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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