Public transport coverage fails to keep pace with urbanization and urban expansion,which makes the“last kilometer"problem of residents’travel increasingly prominent”.However,the practice has proved that microcirculation public transportation plays an important role in expanding the coverage of public transportation and promoting the integration of public transportation.Therefore,this paper takes a city bus community as an example.Firstly,it analyses the bus travel demand of commuters connecting to the subway station during the early workday rush hours on basis of IC Big Data,obtains candidate stations of microcirculation bus lines through K-means clustering.Secondly,it establishes the model,the target of which is to minimize the cost residents'travel and bus operation,under the limited condition of walking distance,passenger number,station spacing and departure frequency.Finally,the genetic algorithm is used to find the optimal solution of the model,so it’s no doubt that the most feasible circular bus route is obtained.The results have positive significance for promoting the construction and operation of public transport integration and promoting the convenience and efficiency of public transport travel.
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