Abstract
This study investigated the sensation and evaluation of micro climate environment based on the people's behavior and activity characteristics. Environmental measurement on micro climate was tested in different field taken the commercial pedestrian street in Harbin Central Avenue as an example. In this paper, the seasons of severe cold cities are divided into four periods including severe cold, cold, transition and hot according to the regional climate throughout the year. The interval mathematical statistics method was applied to calculate the micro climate threshold corresponding to the sensation evaluation of people's activities. The result from threshold analysis could provide sub indicators for the comprehensive evaluation of micro climate in the commercial district. The aim of the study is to provide technical methods and quantitative basis for the micro climate regulation management and decision-making in the commercial district.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2017 the 6th International Conference on Informatics, Environment, Energy and Applications, IEEA 2017 |
| Publisher | Association for Computing Machinery |
| Pages | 47-50 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450352307 |
| DOIs | |
| State | Published - 29 Mar 2017 |
| Externally published | Yes |
| Event | 6th International Conference on Informatics, Environment, Energy and Applications, IEEA 2017 - Jeju, Korea, Republic of Duration: 29 Mar 2017 → 31 Mar 2017 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | Part F128273 |
Conference
| Conference | 6th International Conference on Informatics, Environment, Energy and Applications, IEEA 2017 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju |
| Period | 29/03/17 → 31/03/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Commercial district
- Micro climate environment
- Micro climate sensation threshold
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