题名: |
Neighborhood Attributes and Commuting Behavior: Transit Choices. |
作者: |
gordon, p. lee, b. moore, j. e. richardson, h. w. williamson, c. |
关键词: |
commuting,public transportation,local transit,neighborhoods,statistical cluster analysis,generic neighborhood types |
摘要: |
Neighborhood type matters when we try to explain variations in public transit commuting. We found this statistical link over a sample of all census tracts in the four largest California metro areas. In this research, we used statistical cluster analysis to identify twenty generic neighborhood types. The variables used in the analysis included broad indicators of location and population density, street design, transit access and highway access. Once identified, the denser neighborhoods had higher transit use, other things equal. Yet, what distinguishes the research is that we did not use a simple density measure to differentiate neighborhoods. Rather, density was an important ingredient of our neighborhood-type definition -- which surpassed simple density in explanatory power. |
报告类型: |
科技报告 |