File Download

There are no files associated with this item.

Supplementary

Conference Paper: Happiness and High-rise Living: Sentiment Analysis of Geo-Located Twitter Data in Hong Kong’s Housing Estates

TitleHappiness and High-rise Living: Sentiment Analysis of Geo-Located Twitter Data in Hong Kong’s Housing Estates
Authors
Issue Date2016
PublisherThe International Society of City and Regional Planners (ISOCARP).
Citation
52nd ISOCARP Congress: The Cities we Have vs. the Cities we Need, Durban, South Africa, 12-16 September 2016 How to Cite?
AbstractThe high-rise housing, a largely unfavorable housing type in Western context (Turkington et al. 2004; Jacobs 1961), is considered a success in Asia (Castells et al. 1990). Researchers argue that a high-rise housing estate, if properly designed and managed, can be a satisfactory solution for high-density cities (Yeh 2000; Yuen et al. 2006); systematic evidence supportive of the above arguments are rare (Turkington et al. 2004). Questions remain as whether high-rise living promotes or degrades happiness? What are the physical attributes that are linked to occupant sentiment in high-rise housing estates? We used sentiment analysis of Twitter data as a measure of occupant satisfaction with the living environment. Data were collected between May and June 2016 within 487 major housing estates in Hong Kong, covering a variety of building forms, density, and other built environment attributes while controlling for demographic, social and economic profiles. Results show that the design of high-rise buildings matter: the Twin-Towers and T-shaped buildings, both were popular housing types in the 70s, correlated with negative sentiment tones. Density, measured in units/ha, showed positive correlation with happy sentiment. Property age, block size, loan-to-income ratio, employment, and occupation were also correlated with sentiment tones. Findings have implication for urban planning and design.
DescriptionTrack 5: Intelligent Cities for People - Session 2: Intelligent Cities of Developed Countries
Persistent Identifierhttp://hdl.handle.net/10722/251751

 

DC FieldValueLanguage
dc.contributor.authorHuang, J-
dc.contributor.authorZhang, Q-
dc.contributor.authorLi, L-
dc.contributor.authorYang, Y-
dc.contributor.authorChiaradia, AJF-
dc.contributor.authorPryor, MR-
dc.contributor.authorWebster, CJ-
dc.date.accessioned2018-03-19T07:00:36Z-
dc.date.available2018-03-19T07:00:36Z-
dc.date.issued2016-
dc.identifier.citation52nd ISOCARP Congress: The Cities we Have vs. the Cities we Need, Durban, South Africa, 12-16 September 2016-
dc.identifier.urihttp://hdl.handle.net/10722/251751-
dc.descriptionTrack 5: Intelligent Cities for People - Session 2: Intelligent Cities of Developed Countries-
dc.description.abstractThe high-rise housing, a largely unfavorable housing type in Western context (Turkington et al. 2004; Jacobs 1961), is considered a success in Asia (Castells et al. 1990). Researchers argue that a high-rise housing estate, if properly designed and managed, can be a satisfactory solution for high-density cities (Yeh 2000; Yuen et al. 2006); systematic evidence supportive of the above arguments are rare (Turkington et al. 2004). Questions remain as whether high-rise living promotes or degrades happiness? What are the physical attributes that are linked to occupant sentiment in high-rise housing estates? We used sentiment analysis of Twitter data as a measure of occupant satisfaction with the living environment. Data were collected between May and June 2016 within 487 major housing estates in Hong Kong, covering a variety of building forms, density, and other built environment attributes while controlling for demographic, social and economic profiles. Results show that the design of high-rise buildings matter: the Twin-Towers and T-shaped buildings, both were popular housing types in the 70s, correlated with negative sentiment tones. Density, measured in units/ha, showed positive correlation with happy sentiment. Property age, block size, loan-to-income ratio, employment, and occupation were also correlated with sentiment tones. Findings have implication for urban planning and design.-
dc.languageeng-
dc.publisherThe International Society of City and Regional Planners (ISOCARP). -
dc.relation.ispartofISOCARP Congress 2016-
dc.titleHappiness and High-rise Living: Sentiment Analysis of Geo-Located Twitter Data in Hong Kong’s Housing Estates-
dc.typeConference_Paper-
dc.identifier.emailHuang, J: jxhuang@hku.hk-
dc.identifier.emailChiaradia, AJF: alainjfc@hku.hk-
dc.identifier.emailPryor, MR: matthew.pryor@hku.hk-
dc.identifier.emailWebster, CJ: cwebster@hku.hk-
dc.identifier.authorityHuang, J=rp01758-
dc.identifier.authorityChiaradia, AJF=rp02166-
dc.identifier.authorityPryor, MR=rp01019-
dc.identifier.authorityWebster, CJ=rp01747-
dc.identifier.hkuros284388-
dc.publisher.placeThe Netherlands-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats