@article{article_713627, title={Station Preference Analysis of Users in Bike Sharing Systems Big Datasets}, journal={Avrupa Bilim ve Teknoloji Dergisi}, pages={591–597}, year={2020}, DOI={10.31590/ejosat.araconf71}, author={Dokuz, Ahmet Şakir}, keywords={Bisiklet Paylaşım Sistemleri,Veri madenciliği,Şehir örüntü analizi,İstasyon tercih analizi,Büyük veri madenciliği}, abstract={Bike Sharing Systems (BSS) have emerged as an alternative transportation tool for city residents who do not want to prefer conventional transportation systems. By using BSS, city residents could reach their desired destinations while making sports activity in fresh air. BSS became more preferred and prevalent among other transportation systems because of their several benefits, such as environmental friendly, activity enforcing and fresh transportation opportunity. After BSS are being utilized by more users, BSS operators started to collect the BSS datasets to gain insights from these datasets. In the literature, several applications are performed using BSS datasets, including urban pattern analysis. In this study, BSS big dataset is used for analyzing station preferences of different user types. The bike stations and their visits are counted and sorted for each user type, and top-10 preferred bike stations are extracted for each user type as preferred stations. Experimental results show that Customer and Subscriber user types have different station preferences, as hypothesized in this study.}, publisher={Osman SAĞDIÇ}