| 英文摘要
| In recent years, due to increasing public awareness of environmental protection and attention to health issues, the popularity of public transport systems and the number of bicycle commutes have increased. The bike express lanes in Taipei were built adjacent to traffic lanes. Bikers may easily expose to traffic emission of PM2.5 (particulate matter ≤ 2.5 μm in aerodynamic diameter).
tThis study was conducted through a series of field campaigns to investigate the distribution of air pollutants near the bike lanes in Taipei City. We focus on eight bicycle lanes and paired alleys, as well as four supplementary roads, in Taipei metropolis area from 2018/6/12-2018/6/25. This study collected information on traffic, land use data and population density in Taipei metropolitan area. The regression model was used to estimate the concentration distribution of PM2.5 in Taipei metropolitan area.
tThe average PM2.5 concentrations of each biking routes during the two sampling periods were 53-59.4µg/m3 and 4.7-73.0µg/m3. By comparing the LUR model of Airvisual Node and TSI DustTrak™ II, it is showed that building LUR models with low-cost sensors is feasible. The R2 of the best LUR model in the stage #1 is 0.78, and the LOOCV validation R2 is 0.77. The selected land use variables are the industrial & business area (100m area buffer), major road area (25m area buffer), the PM2.5 concentration at the air quality monitoring station (AQMS). The R2 of the best LUR model in the stage #2 is 0.75, the LOOCV validation R2 is 0.75. The selected land use variables are the length of all roads (100m area buffer), all road areas (500m area buffer) and the PM2.5 concentration at the AQMS. According to the results of this study, it is recommended that bikers should avoid road-intensive areas and industrial & commercial areas. |
