With the growing development of smart cities, public transit forecasting has begun to attract significant attention. In this paper, we propose an approach for forecasting passenger boarding choices and public transit passenger flow. Our prediction model is based on mining common user behaviors for semantic trajectories and enriching features using knowledge from geographic and weather data. All...

This research presents a method of comparing fixed-route transportation systems and demand-responsive feeder transit systems using passenger survey data, published transit schedules, and optimal routing techniques. Demand-responsive transportation can be utilized to improve transit service levels in low demand areas. Since cities can vary significantly in demand across the region and time of da...

Many of the virulence determinants secreted from pathogenic Gram-negative bacteria are autotransporter proteins, which are usually either exported to the bacterial cell surface or secreted into the external environment. There appears to be dearth of information regarding the exact mechanism of their processing into the surface-exposed passenger domains and C-terminal, βdomains. The C-terminal p...

introduction: users of hospital information system know its problems better than others. studying their views are very important and can be especially effective in the development of the information system. the aim of this study was to investigate the users' views towards the quality of hospital information system in the training hospitals of mashhad university of medical sciences. methods: the...

Ubiquitous real-time passenger information (URTPI) enables public transport (PT) users to make better travel choices at both pre-trip and en-route stages. A significant amount of URTPI usage is evident in the existing literature. This study investigates impact on bus path choice. To this end, a survey was conducted City Edinburgh, UK, total 1645 completed responses were collected. More than hal...

Processes leading to an increase of demand for a resource as a consequence of increasing the efficiency of using this resource in production or consumption are known as (direct) rebound effects. Rebound effects at micro and macro levels tend to offset the reduction in resource consumption enabled by progress in efficiency. Systems thinking and modeling instruments such as causal loop diagrams a...