We developed a self-report measure of sensation seeking, a dispositional risk factor for various problem behaviors. In two studies, we administered the Brief Sensation Seeking Scale (BSSS) to more than 7000 adolescents. Study 1 participants completed a paper-and-pencil form of the BSSS in mass-testing sessions. Psychometric analyses of the resultant data revealed suitable item characteristics a...

• Bike-sharing users are worried about change, while Uber less worried. Car-sharing is strongly associated with lack of access to a private car. Shared mobility likely reside in central, denser, transit-oriented locations. live closer the city center than other shared users. Citizens without tertiary education more use e-scooters and Uber. This research provides new evidence on factors four dif...

Bike-sharing systems are becoming increasingly prevalent in urban environments. They provide a low-cost, environmentally-friendly transportation alternative for cities. The management of these systems gives rise to many optimization problems. Chief among these problems is the issue of bicycle rebalancing. Users imbalance the system by creating demand in an asymmetric pattern. This necessitates ...

Recent network analysis research has made remarkable progress on studying complex networks in a social context with machine learning techniques. One example of such a complex network is the system data of the New York Citibike bike sharing program, which consists of the data from 49 million bike trips in New York City since July 2013. By inspecting the dataset, we find out that significantly mo...

Most bike-sharing systems in cities aim to maximize demand, an approach that tends inadvertently favor wealthier neighborhoods. Therefore, we developed a heuristic and data-mining-based method weigh both Demand And/oR Equity (DARE) the station distribution allocation process of planning bike-sharing. is measured using deprivation index potential demand estimated structural equation models via b...