TY  - EJOU
AU  - Yang, Annan 
AU  - Zhang, Jiawei 
AU  - Yang, Haojie 
AU  - Tao, Keyi 
AU  - Xu, Mengna 
AU  - Zhao, Yuyu 

TI  - Optimization of Electric Vehicle Charging Station Layout Based on Point of Interest Data and Location Entropy Evaluation
T2  - Journal on Big Data

PY  - 2024
VL  - 6
IS  - 1
SN  - 2579-0056

AB  - This study introduces an electric vehicle charging station layout optimization method utilizing Point of Interest (POI) data, addressing traditional design limitations. It details the acquisition and visualization of POI data for Yancheng’s key locations and charging stations. Employing a hybrid K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm, the study determines areas requiring optimization through location entropy and overlap analysis. The research shows that the integrated clustering approach can efficiently guide the fair distribution of charging stations, enhancing service quality and supporting the sustainable growth of the electric vehicle sector.
KW  - POI; K-Means; DBSCAN; location entropy

DO  - 10.32604/jbd.2024.057612