A Spatial Decision Support System for Route Choice of Air Pollution Exposure

• Main Authors: Yu-Chun Tsao, 曹宇鈞
• Other Authors: 孫志鴻
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/nwf8my

碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 107 === In this world, many cities are facing air pollution problems. As studies have confirmed that air pollution is harmful to human health, the public consciousness of air quality has been raised rapidly. Although the government has proposed a plan to reduce air pollution emissions in recent years, it cannot reduce the source of pollution immediately and massively. During the transition period to improve air quality, early warning and recommendations will be given to people about air quality information, and decision-making on supporting activities will reduce air pollution exposure. The location of the air quality sensor and human activities at different times and spaces will affect the calculation of air pollution exposure. In recent years, the number of environmental micro-sensors has continued to increase, the spatial and temporal resolution of data has increased, and air quality values can be received more quickly. In the current air pollution warning application, the route selection for air pollution exposure still needs to be developed. In past studies, the assessment of air pollution exposure mostly emphasized the benefits of the minimum exposure route, but ignored the cost of route selection and the impact of route changes in real life. In practical applications, they will need to collect and maintain network layers for route planning. Updating and maintaining the data on the system will be a problem. Therefore, this study use the micro-sensor data to estimate the exposure of urban air pollution, consider the distance and air pollution exposure to carry out route planning, and provide assistance in route selection in daily life. And based on online map services to build a spatial decision support systems, try to improve data collection and maintenance issues.