File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: 3D built-environment attributes and household road traffic noise exposure in Hong Kong

Title3D built-environment attributes and household road traffic noise exposure in Hong Kong
Authors
KeywordsAcoustic noise
Database systems
Health hazards
Roads and streets
Sustainable development
Issue Date2019
PublisherIOP Publishing: Conference Series. The Journal's web site is located at https://iopscience.iop.org/journal/1755-1315
Citation
Sustainable Built Environment Conference 2019 Wales: Policy to Practice, Cardiff, Wales, 24-25 September 2019. In IOP Conference Series: Earth and Environmental Science, 2019, v. 329 n. 1, article no. 012012 How to Cite?
AbstractRoad traffic noise is an environmental health hazard in Hong Kong and other high-density cities. The dense built environment modifies noise propagation, reflects, absorbs or diffracts sound depending on building morphology, road configuration, and open space layout, etc. Mitigation of urban traffic noise is of growing concerns to planning and design practitioners. Existing assessment methods are limited in reliably accounting for localized variations in noise exposure associated with a high-density city. The aim of this research is to 1) develop a 3D database of road traffic noise exposure for a large number of households in a high-density city; 2) explore the linkages between built environment attributes and road traffic noise exposure. A 3D built environment database was constructed for Hong Kong using building geometries, topography and urban traffic noise data. Window coordinates for each household were extracted using address and building floor plans. Computer simulation was conducted to determine traffic noise exposure at window locations using CadnaA for a random sample of 8,158 households across the city. Results revealed that 76.3% of the households are exposed to excessive road traffic noise by WHO standards. Household traffic noise exposure are significantly associated with proximity to secondary road, story-level of the flat, and other urban form attributes. The 3D database is of value for public health research in relation to noise and urban noise mitigation measures. The next step is to develop an efficient and reliable simulation tool to support planning and design decisions in traffic noise mitigation.
Persistent Identifierhttp://hdl.handle.net/10722/281673
ISSN
2023 SCImago Journal Rankings: 0.199

 

DC FieldValueLanguage
dc.contributor.authorGuo, M-
dc.contributor.authorHuang, J-
dc.contributor.authorNi, MY-
dc.date.accessioned2020-03-22T04:18:07Z-
dc.date.available2020-03-22T04:18:07Z-
dc.date.issued2019-
dc.identifier.citationSustainable Built Environment Conference 2019 Wales: Policy to Practice, Cardiff, Wales, 24-25 September 2019. In IOP Conference Series: Earth and Environmental Science, 2019, v. 329 n. 1, article no. 012012-
dc.identifier.issn1755-1307-
dc.identifier.urihttp://hdl.handle.net/10722/281673-
dc.description.abstractRoad traffic noise is an environmental health hazard in Hong Kong and other high-density cities. The dense built environment modifies noise propagation, reflects, absorbs or diffracts sound depending on building morphology, road configuration, and open space layout, etc. Mitigation of urban traffic noise is of growing concerns to planning and design practitioners. Existing assessment methods are limited in reliably accounting for localized variations in noise exposure associated with a high-density city. The aim of this research is to 1) develop a 3D database of road traffic noise exposure for a large number of households in a high-density city; 2) explore the linkages between built environment attributes and road traffic noise exposure. A 3D built environment database was constructed for Hong Kong using building geometries, topography and urban traffic noise data. Window coordinates for each household were extracted using address and building floor plans. Computer simulation was conducted to determine traffic noise exposure at window locations using CadnaA for a random sample of 8,158 households across the city. Results revealed that 76.3% of the households are exposed to excessive road traffic noise by WHO standards. Household traffic noise exposure are significantly associated with proximity to secondary road, story-level of the flat, and other urban form attributes. The 3D database is of value for public health research in relation to noise and urban noise mitigation measures. The next step is to develop an efficient and reliable simulation tool to support planning and design decisions in traffic noise mitigation.-
dc.languageeng-
dc.publisherIOP Publishing: Conference Series. The Journal's web site is located at https://iopscience.iop.org/journal/1755-1315-
dc.relation.ispartofIOP Conference Series: Earth and Environmental Science-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAcoustic noise-
dc.subjectDatabase systems-
dc.subjectHealth hazards-
dc.subjectRoads and streets-
dc.subjectSustainable development-
dc.title3D built-environment attributes and household road traffic noise exposure in Hong Kong-
dc.typeConference_Paper-
dc.identifier.emailGuo, M: mdguo@hku.hk-
dc.identifier.emailHuang, J: jxhuang@hku.hk-
dc.identifier.emailNi, MY: nimy@hku.hk-
dc.identifier.authorityHuang, J=rp01758-
dc.identifier.authorityNi, MY=rp01639-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1088/1755-1315/329/1/012012-
dc.identifier.scopuseid_2-s2.0-85074888956-
dc.identifier.hkuros309486-
dc.identifier.volume329-
dc.identifier.issue1-
dc.identifier.spagearticle no. 012012-
dc.identifier.epagearticle no. 012012-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1755-1315-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats