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Ramp meters in the Twin Cities were turned off for 8 weeks in the Fall of 2000. This paper analyzes traffic data collected in this experiment on travel time variability with and without ramp metering for several representative freeways during the afternoon peak period. Travel time variability is generally reduced with metering. However, it is found that ramp meters are particularly helpful for long trips relative to short trips. The annual benefits from reducing travel time variability with meters are estimated to be $33.1 million, compared to the annual ramp metering costs of $2.6 million in the Twin Cities metro area. Thus, the impact on travel time variability should be captured in future ramp metering benefit/cost analysis.

Business Aviation (BA) is an important segment of nonscheduled air transport, providing personalized solutions for business trips by air. Unlike scheduled air transport or holiday charters, BA has hardly been dealt with in the academic literature. This chapter gives insight into the structure and key economic effects of the European (EU28 + EFTA) BA sector. Hereby, we differentiate between the sector’s macroeconomic footprint, in terms of jobs or gross value added (GVA), and the generation of business efficiencies and connectivity benefits for the users. Based on our own data collection and input-output analyses using data from the World Input-Output Database and Eurostat, we find that the effect of BA over the EU28 GVA is almost 0.2%. Also, some 374,000 European jobs are directly or indirectly dependent on the sector’s activities, which is more than the total number of jobs in, e.g., Cyprus. More than half of these jobs stem from the operation of business aircraft and from closely related operational services like maintenance (“MRO”) and handling (“FBO”), while the remaining employment occurs in the production of business aircraft and parts. Comparing actual European BA flights against their fastest commercial travel alternatives, key efficiencies came to light, such as average travel time savings of 127 minutes per flight, annual savings of about € 15 million in overnight hotel costs and an average 150% increase in productive work time for the travelers. Furthermore, we find that BA can significantly improve connectivity, as it serves about 25,000 city pairs not connected by nonstop scheduled air services.

In this study, a mode choice model explicitly considering travel time reliability is developed. This model quantifies travelers' attitudes towards travel time variability as well as average travel time. Data were collected from the morning commuters who have two or three alternative modes including some public transportation and private vehicles. The survey period includes both a normal period where all the transportation modes were available and an abnormal period where the main major public transportation service was closed. The model is applied to practical commuters' decision making, and one of the findings in the mode choice model is that they pay relatively large attention to the travel time variability. In this model, travel time variability is dealt with as the possibilities that the commuters arrive before or after their job starting time separately. The best-fit model indicates that the commuters pay more attention to early arrival and less to late arrival in the normal period. In the abnormal period, however, their attention shifts drastically to late arrival. This suggests that the commuters behave optimistically in the normal period and pessimistically in the abnormal period.