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This paper aims to explore the human mobility pattern by using taxi positioning data in the city of ‎Isfahan. Results show that Lognormal yields the most suitable fit to the data at hand which has ‎been collected from 53000 records throughout Isfahan in a week. Power law did not show ‎acceptable performance and exponential function did not function as good as Lognormal. It was ‎also shown that transportation hierarchy does not sufficiently explain the human mobility pattern. ‎The trip lengths are shown to be 5 and 7 kilometers for working days and holidays respectively. ‎Peak hour trip length distribution function shows lower mean, standard deviation, skewness, and ‎kurtosis compared to the whole day figures.‎