Applying GIS and fine-resolution digital terrain models to assess three-dimensional population distribution under traffic impacts.

摘要: Pollution exhibits significant variations horizontally and vertically within cities; therefore, the size three-dimensional (3D) spatial distribution of population are determinants urban health. This paper presents a novel methodology, 3D digital geography (3DIG) for investigating distributions in close proximity to traffic, thus potential highly exposed under traffic impacts. 3DIG applies geographic information system fine-resolution (5 m) terrain models obtain number building floors residential zones Taipei metropolis; vertical at different was estimated based on demographic data each census tract. In addition, 5, 10, 20, 50, 100 m from roadways estimated. Field validation indicated that model results were reliable accurate; final estimation differs only by 0.88% database. The showed among total 6.5 million residents, 0.8 (12.3%), 1.5 (22.9%), 2.3 (34.9), 2.7 (41.1%) residents live first or second floor 50 m, respectively, municipal roads. There 22 tracts with more than half their living 5 m towns city county >13.9% 12.1% roads, respectively. These findings highlight huge have implications exposure assessment environmental epidemiological studies. study demonstrates is versatile methodology various research policy planning which central focus.