Using computer vision and street view images to assess bus stop amenities

Yilong Dai, Luyu Liu, Kaiyue Wang, Meiqing Li, Xiang Yan

Abstract: Highlights•This study offers an automated, low-cost, and generalizable approach for bus stop assessment•Google Street View images and deep learning are used for automating the detection of bus stop amenities•Application of the proposed approach in major Florida cities achieves high accuracy and precision•Scalability and transferability tests demonstrate the transferability of the approach