Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/201661
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dc.titleUNDERSTANDING THERMAL COMFORT AND THERMAL ADAPTATION IN SINGAPORE
dc.contributor.authorYANG FAN
dc.date.accessioned2021-09-30T18:01:15Z
dc.date.available2021-09-30T18:01:15Z
dc.date.issued2021-07-06
dc.identifier.citationYANG FAN (2021-07-06). UNDERSTANDING THERMAL COMFORT AND THERMAL ADAPTATION IN SINGAPORE. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/201661
dc.description.abstractThis study investigated the historical field data collected in Singapore over the past 20 years. First, critical evaluation of the past thermal comfort data was performed which successfully challenged the perennial assumption of equidistance and analysed different patterns and trends of thermal comfort, thermal preference, and neutrality in the hot and humid climate of Singapore. Subsequently, thermal comfort modelling was carried out using MLR and KNN. Comparing the model performance of the two classifiers, the MLR models had higher accuracies. Therefore, the results are informative for the use of thermal sensation scales in future studies. Also, the analysis of the longitudinal change in thermal comfort contributed valuable information for the understanding of long-term thermal adaptation in Singapore. Lastly, the thermal comfort modelling in this study provided valuable proof of concept of using classification on thermal comfort data in the tropics, which paved the way for future attempts.
dc.language.isoen
dc.subjectthermal comfort, thermal adaptation, equidistance, PCA, machine learning, Singapore
dc.typeThesis
dc.contributor.departmentTHE BUILT ENVIRONMENT
dc.contributor.supervisorWong Nyuk Hien
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE (RSH-BDG)
dc.identifier.orcid0000-0003-3714-7180
Appears in Collections:Master's Theses (Open)

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