Spatial temporal pattern analysis on on-demand cab services in urban areas using GIS

Abstract As an important component of the urban public passenger transportation system, cabs / taxi offers all-weather, convenient, comfortable, and personalized travel services for residents, as well playing a key role in development. Cab market has gained prominence over last 2-3 years India, backdrop entry app based aggregators which not only disrupted auto-rickshaw traditional but also forced automotive Original Equipment Manufacturers (OEMs) to revise their growth marketing strategies. There is randomness lack regularity cab operation characteristics, describe activity pattern. Inorder plan effectively manage on-demand services, improve better facility public, there need understand underlying relationship between supply demand. This study analyzed location distribution characteristics from different temporal spatial levels. In time level, difference with daily pattern (weekday versus weekends) identified; space are explored. coverage index Standard deviation ellipse tools used analysing patterns frames. research can be helpful understanding behavior pattern, contribution geographical analysis. GIS been supportive tool