Smart and sustainable public transport systems through improving level and quality of service

Buses are considered a slow, low comfort and low reliability transport system, thus its negative and por image. In the framework of the 3iBS project (2012), several examples of innovative and/or effective solutions regarding the Level of Service (LoS) were analysed aiming to provide operators, practitioners and policy makers with a set of Good Practice Guidelines to strengthen the competitiveness of the bus in the urban environment. The identification of the key indicators regarding vehicles, infrastructure and operation was possible through the analysis of a set of case studies -among which Barcelona (Spain), Cagliari (Italy), London (United Kingdom), Paris and Nantes (France). A cross comparison between the case studies was carried out for contrasting the level of achievement of the different criteria considered. The information provided on Regulatory, Financial and Technical issues allows the identification of a number of specific factors influencing the implementation of a high quality transport scheme, and set the basis for the elaboration of a set of Guidelines for the implementation of an intelligent, innovative and integrated bus system, including the main barriers to be tackled.

A Ride-Sharing System with High Capacity Vehicles and Flexible Meeting Points

In many major cities, fixed route transit systems such as bus and rail serve millions of trips per day. These systems have people collect at common locations (the station or stop), and board at common times (for example according to a predetermined schedule or headway). By using common service locations and times, these modes can consolidate many trips that have similar origins and destinations or overlapping routes. However, the routes are not sensitive to changing travel patterns, and have no way of identifying which trips are going unserved, or are poorly served, by the existing routes. On the opposite end of the spectrum, personal modes of transportation, such as a private vehicle or taxi, offer service to and from the exact origin and destination of a rider, at close to exactly the time they desire to travel. Despite the apparent increased convenience to users, the presence of a large number of small vehicles results in a disorganized, and potentially congested road network during high demand periods. The focus of the research presented in this paper is to develop a system that possesses both the on-demand nature of a personal mode, with the efficiency of shared modes. In this system, users submit their request for travel, but are asked to make small compromises in their origin and destination location by walking to a nearby meeting point, as well as slightly modifying their time of travel, in order to accommodate other passengers. Because the origin and destination location of the request can be adjusted, this is a more general case of the Dial-a-Ride problem with time windows. The solution methodology uses a graph clustering algorithm coupled with a greedy insertion technique. A case study is presented using actual requests for taxi trips in Washington DC, and shows a significant decrease in the number of vehicles required to serve the demand.

Morbidity and temporary cycles for the outpatient service at Universidad Estatal a Distancia in Costa Rica

No data has apparently been published on morbidity and outpatient service of faculty and staff of a distance university.  This report presents such data from the Universidad Estatal a Distancia (Costa Rican State University for Distance Education). The participants in this study were the employees who were outpatients between January 15, 2004 and December 15, 2006.  Instead of using a sample, the entire population was studied with a total of 1,526 medical records. Procedure: During the first stage all of the medical records were read and the morbidity data was tabulated.  Subsequently, this information was statistically analyzed using Statgraphics Centurion XV. The main findings were that 50% of the patients used the outpatient service only once during the study period and that most of them were between 20 and 50 years of age.  The days with the most consultations were Mondays, Tuesdays, and Wednesdays.  The number of consultations was relatively stable throughout the year, with a slight increase in June. The three main causes for visiting the service were: upper respiratory tract diseases, muscular-skeletal disorders, and irritated digestive system problems. Main conclusions: Most of the consultations were from the departments with the more faculty and staff members; however, some departments had extremely high or low consultation rates per capita, maybe due to factors such as pathologies that require periodic control, geographical proximity, and psycho-social issues of patients who create a vicious circle due to the somatization of such problems.  The hypothesis that this population’s morbidity rate would differ from the national average because of its high educational level was rejected.  Nevertheless, the hypothesis that there are weekly and yearly cycles was maintained.