Bi-objective location optimization model for taxi stands in urban hotspots

Abstract:

To ensure the rationality of urban taxi stands layout and improve the situation of low utilization rate, a location-decision method of taxi stands based on GPS trajectory data was proposed. The demand for taxi trips and locations of candidate stands were estimated under the background of data. Considering the factors such as the coverage of passenger travel demand, the maximum acceptable distance for passengers, and the service capacity of stand and parking space, the constraint conditions for taxi stands layout were constructed. A bi-objective location optimization model was proposed to minimize construction costs and maximize public satisfaction from the perspectives of planners and users, respectively. The forbearing stratified sequencing method based on genetic algorithm was applied to solve the model. Taking the Chunxi business district of Chengdu as an example, the taxi stands in the area were re-located using the proposed model, and the impact of different expected travel distances of passengers on location decision problem was investigated. Results show that when the expected travel distance of passenger was less than 300 m, the new layout scheme could cover all travel demands in the area with a reasonable number of stands and ensure the passengers’ travel satisfaction at a high level, which verifies the validity of the bi-objective location model.