The object of this paper is the data-driven optimization of public transport lines in smart-cities. This paper provides a solution to get the best line for urban public transport line planning based on public transport data, urban street data, and population data. Chapter 2 introduces the velocity score and sociality score to show the excellent degree of PTN, they can be understood as indicators of city transport accessibility and public transport operation capacity based on population distribution respectively. Also, a scoring model based on the principle of isochron is used to evaluate and calculate the sociality score of the city public transport network (PTN).