TY - JOUR PY - 2004// TI - Comparison of planar and network K-functions in traffic accident analysis JO - Journal of transport geography A1 - Yamada, Ikuho A1 - Thill, Jean-Claude SP - 149 EP - 158 VL - 12 IS - 2 N2 - The network and planar K-function methods are applied to traffic accident data to illustrate the risk of false positive detection associated with the use of a statistic designed for a planar space to analyze a network-constrained phenomenon. We also demonstrate the benefits of using a method specifically designed for a network space. The results clearly indicate that the planar K-function analysis is problematic since it entails a significant chance of over-detecting clustered patterns. Analyses are implemented based on Monte Carlo simulation and applied to 1997 traffic accident data in the Buffalo, NY area.

LA - SN - 0966-6923 UR - http://dx.doi.org/10.1016/j.jtrangeo.2003.10.006 ID - ref1 ER -