In the field of Crime Prevention Through Environmental Design (CPTED), it is said that natural surveillance, which means that building occupants or passersby keep a lookout for potential crime offenders in natural ways, is important for crime prevention in urban areas. Recently, methods for modeling natural surveillance have been developed. However, by the existing methods, it is difficult to measure natural surveillance with both high resolution and efficiency. Therefore, this research aims to develop methods for mapping natural surveillance in urban areas with higher resolution and more efficiency than existing methods. We propose methods for mapping natural surveillance by measuring visibility in urban areas using a hand truck equipped with laser scanners and GPS. In experiments, we demonstrate our methods are useful for mapping natural surveillance from roads on GIS in 3-D with higher resolution and more efficiency than existing methods.
