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Conference Paper: Happiness and High-rise Living: Sentiment Analysis of Geo-Located Twitter Data in Hong Kong’s Housing Estates
Title | Happiness and High-rise Living: Sentiment Analysis of Geo-Located Twitter Data in Hong Kong’s Housing Estates |
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Authors | |
Issue Date | 2016 |
Publisher | The 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? |
Abstract | The 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. |
Description | Track 5: Intelligent Cities for People - Session 2: Intelligent Cities of Developed Countries |
Persistent Identifier | http://hdl.handle.net/10722/251751 |
DC Field | Value | Language |
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dc.contributor.author | Huang, J | - |
dc.contributor.author | Zhang, Q | - |
dc.contributor.author | Li, L | - |
dc.contributor.author | Yang, Y | - |
dc.contributor.author | Chiaradia, AJF | - |
dc.contributor.author | Pryor, MR | - |
dc.contributor.author | Webster, CJ | - |
dc.date.accessioned | 2018-03-19T07:00:36Z | - |
dc.date.available | 2018-03-19T07:00:36Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | 52nd ISOCARP Congress: The Cities we Have vs. the Cities we Need, Durban, South Africa, 12-16 September 2016 | - |
dc.identifier.uri | http://hdl.handle.net/10722/251751 | - |
dc.description | Track 5: Intelligent Cities for People - Session 2: Intelligent Cities of Developed Countries | - |
dc.description.abstract | The 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.language | eng | - |
dc.publisher | The International Society of City and Regional Planners (ISOCARP). | - |
dc.relation.ispartof | ISOCARP Congress 2016 | - |
dc.title | Happiness and High-rise Living: Sentiment Analysis of Geo-Located Twitter Data in Hong Kong’s Housing Estates | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Huang, J: jxhuang@hku.hk | - |
dc.identifier.email | Chiaradia, AJF: alainjfc@hku.hk | - |
dc.identifier.email | Pryor, MR: matthew.pryor@hku.hk | - |
dc.identifier.email | Webster, CJ: cwebster@hku.hk | - |
dc.identifier.authority | Huang, J=rp01758 | - |
dc.identifier.authority | Chiaradia, AJF=rp02166 | - |
dc.identifier.authority | Pryor, MR=rp01019 | - |
dc.identifier.authority | Webster, CJ=rp01747 | - |
dc.identifier.hkuros | 284388 | - |
dc.publisher.place | The Netherlands | - |