A Deep Learning Based Approach to Examine the impact of Land Use Change on Shared Bicycles Usage in Rail Transit Stations

• Published in: Tehnički vjesnik Vol. 32; no. 3; pp. 1113 - 1124
• Main Author: Chen, Xiang
• Format: Journal Article Paper
• Language: English
• Published: Slavonski Baod Josipa Jurja Strossmayer University of Osijek 2025; Sveučilište u Slavonskom Brodu, Stojarski fakultet; Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
• Subjects: Analytic hierarchy process; Bicycles; Cluster analysis; Deep learning; Land use; land use change; rail transit station; Rail transportation; shared bicycle; Traffic congestion; Urban areas

Due to China's booming economy and rapid urban expansion, significant progress has been made in the construction of rail transit (hereinafter referred to as RT), which is becoming an important means of connecting people in different urban areas, relieving urban traffic congestion and reducing e...