Statistical Analysis of Residents' Degree of Support for Three Solid Waste Management Policies in Hong Kong
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 |
| Publisher | IEEE |
| Pages | 1716-1720 |
| ISBN (Electronic) | 978-1-5386-6614-2 |
| Publication status | Published - Jun 2018 |
Publication series
| Name | Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 |
|---|
Conference
| Title | 20th International Conference on High Performance Computing and Communications, 16th IEEE International Conference on Smart City and 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 |
|---|---|
| Place | United Kingdom |
| City | Exeter |
| Period | 28 - 30 June 2018 |
Link(s)
Abstract
Cluster analysis was used to segment Hong Kong residents based on their degree of support towards three proposed waste management policies (waste charge, landfill extension and building new incinerator). Three to four clusters were obtained. One cluster of residents is less likely to support the waste charge policy because they tend to have low income. One or two clusters of residents are less likely to support landfill extension and the building of new incinerator policies because they tend to live near the landfill and incinerator sites. The last cluster of residents has a high degree of support towards all three policies. This cluster tends to be wealthy and less likely to live near the landfill and incinerator sites.
Research Area(s)
- Cluster analysis, Hong Kong, Profile analysis, Solid waste, Waste charge
Citation Format(s)
Statistical Analysis of Residents' Degree of Support for Three Solid Waste Management Policies in Hong Kong. / Yeung, Iris M. H.; Chung, William.
Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018. IEEE, 2018. p. 1716-1720 8623016 (Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
