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dc.contributor.authorSharmin, Tania
dc.contributor.authorSteemers, Koen
dc.date.accessioned2018-09-08T06:35:24Z
dc.date.available2018-09-08T06:35:24Z
dc.date.issued2020-02
dc.identifier.issn0020-7128
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/279942
dc.description.abstractA thermal comfort questionnaire survey was carried out in the high-density, tropical city Dhaka. Comfort responses from over 1300 subjects were collected at six different sites, alongside meteorological parameters. The effect of personal and psychological parameters was examined in order to develop predictive models. Personal parameters included gender, age, activity, profession-type (indoor or outdoor-based), exposure to air-conditioned space and sweat-levels. Psychological parameters, such as 'the reason for visiting the place' and 'next destination is air-conditioned', had statistically significant effects on thermal sensation. Other parameters, such as 'body type', 'body exposure to sun', 'time living in Dhaka', 'travelling in last_30 min', and 'hot food' did not have any significant impact. Respondents' humidity, wind speed and solar radiation sensation had profound impacts and people were found willing to adjust to the thermal situations with adaptive behaviour. Based on actual sensation votes from the survey, empirical models are developed to predict outdoor thermal sensation in the case study areas. Ordinal linear regression techniques are applied for predicting thermal sensation by considering meteorological and personal conditions of the field survey. The inclusion of personal and weather opinion factors produced an improvement in models based on meteorological factors. The models were compared with the actual thermal sensation using the cross-tabulation technique. The predictivity of the three models (meteorological, thermos-physiological and combined parameter) as expressed by the gamma coefficient were 0.575, 0.636 and 0.727, respectively. In all three models, better predictability was observed in the 'Slightly Warm' (71% in meteorological model) and 'Hot' (64.9% in combined parameter model) categories-the most important ones in a hot-humid climate.
dc.description.sponsorshipSchlumberger Foundation
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectHumans
dc.subjectCities
dc.subjectHumidity
dc.subjectMicroclimate
dc.subjectBangladesh
dc.subjectThermosensing
dc.titleEffects of microclimate and human parameters on outdoor thermal sensation in the high-density tropical context of Dhaka.
dc.typeArticle
prism.endingPage203
prism.issueIdentifier2
prism.publicationDate2020
prism.publicationNameInt J Biometeorol
prism.startingPage187
prism.volume64
dc.identifier.doi10.17863/CAM.27310
dcterms.dateAccepted2018-08-25
rioxxterms.versionofrecord10.1007/s00484-018-1607-2
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-02
dc.contributor.orcidSharmin, Tania [0000-0001-6229-2035]
dc.contributor.orcidSteemers, Koen [0000-0001-8135-158X]
dc.identifier.eissn1432-1254
rioxxterms.typeJournal Article/Review
cam.issuedOnline2018-09-12
cam.orpheus.successThu Jan 30 10:54:30 GMT 2020 - The item has an open VoR version.
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International