AbstractApplying Spatial Statistics to Develop a Public Transportation IndexTrack: Transportation Author The project is based on a socioeconomic data survey collected in March 2008 by the Center for the Study of the Inland Empire (CSIE) at Cal Poly University. Data collected include home, work addresses as well as transportation choices. GIS network analysis algorithms are applied to analyze commuting time by car and public transport. The relation between travel time by car and public transport is used to calculate a public transportation index (PTI). The PTI reflects how much longer public transportation takes compared to individual driving. Spatial statistics is used to identify geographic hot spots (geographical areas where certain criteria such as the PTI, income, or commute distance are statistically significantly larger than in the vicinity) and cold spots (areas where the same criteria are significantly smaller than in the vicinity). The results will reveal areas where public transportation improvement is most necessary based on the needs of commuters. Carsten Lange California State University 3801 W Templer Ave Pomona, California 91768 United States Phone: (909) 869 3843 E-mail: clange@csupomona.edu |