Shared bicycles have played an active role in solving the "last mile" problem of urban transportation and alleviating urban traffic congestion. However, if the parking facilities of shared bicycles are not properly selected, it will not only affect urban traffic, but also reduce service satisfaction. Based on the actual running data of shared bikes, the DBSCAN density clustering method is selected as the identification method of the bike-travel demand points. The DSR model is introduced to build the evaluation model of the parking point supply. The results show that the bike-travel data and land properties can help planners to a certain extent.
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