The AHP is a combination of qualitative and quantitative, systema

The AHP is a combination of qualitative and quantitative, systematic and hierarchical method which is effective and practical in dealing with complex decision problem. This paper selects six lands for modeling analysis including residential land, commercial land, land for roads and traffic facilities, green space Survivin Signaling Pathway and square land, land for public facilities, and land for industry. Thus this section established the model of hierarchical structure between urban land and the air quality, shown in Figure 2. Figure 2 Hierarchical chart. 2.1. Introduction to the Modeling The model was established based on analytic hierarchy process (AHP) in this chapter for the analysis

of weight of traffic factors consists of accessibility of road, air flow,

vehicle structure, and traffic construction scale impact on air quality, soluted by yaahp software. So air quality is in the destination layer; criterion layer concludes concentration of PM2.5 of different land and the solution layer concludes the four traffic factors. Hierarchy chart as shown in Figure 2 finalizes weights for different traffic factors impact on urban air quality by PM2.5 concentrations in different land use. The data of PM2.5 concentrations tested by air monitoring stations are comprehensively influenced by various factors, so it needs to get rid of the influence of other factors before calculation. According to previous study, mass concentration of PM2.5 is 50%–80% of PM10 in Beijing and Guangzhou. In general, the contribution rate of dust for PM10 accounted for 20%~60% and the motor vehicle emissions for about 5%~20% [7]. Thus, it can estimate the contribution rate of transportation factors of PM2.5. 2.2. Hypotheses of the Modeling (1) The yaahp software applies a 1~9 scale on behalf of the importance of every two indicators. The model analyzes four traffic factors which influence degree of six land uses, that

is, accessibility of road, vehicle structure features, air flow, and traffic construction scale. Because the weight which is taken into Brefeldin_A account is subjective, the judgment below is based on expert’s experience: on commercial land, accessibility of road compared to air flow has the same importance (1); comparing accessibility of road to vehicle structure features, the former is more important than the latter (5); comparing accessibility of road to traffic construction scale, the former is tinily more important than the latter (2); comparing air flow to vehicle structure features, the former is more important than the latter (4); comparing air flow to traffic construction scale, the former is slightly more important than the latter (3); comparing vehicle structure features to traffic construction scale, the latter is tinily more important than the former (1/2). Judgment matrix of traffic factors on commercial land is shown in Table 1.

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