White Paper

SATS Systems Engineering Precursor Studies/Nebraska Implementation

 

Massoum Moussavi, Ph.D., P.E.

Department of Civil Engineering

University of Nebraska

(9/14/1999)

 

 

The NASA-led National General Aviation Roadmap establishes the framework for coordinated public and private sector investments toward the goal to “enable doorstep-to-destination travel at four times the speed of highways, to 25% of the nation’s suburban, rural, and remote communities in 10 years and over 90% in 25 years.”  The Roadmap provides the framework for public-private sector partnerships that target investments in strategically relevant, enabling technologies.  To date, investments have been focused on vehicle and operator training technologies.  With completion of these aircraft technology investments in year 2001, the next logical step on the Roadmap involves planning for investments in infrastructure technologies.  Together, these investments create the basis for a Small Aircraft Transportation System (SATS).

 

A Small Aircraft Transportation System (SATS) is defined as an intermodal, rapid transit, air travel system.  The target consumer base is comprised of the “latent” market, or those consumers for whom the value of SATS transportation services can be economically or personally warranted.  Smaller businesses and upper-middle income individuals will likely dominate the leader market for SATS.  Innovative transportation services business concepts will make SATS more affordable and practical for increasing market segments.  In addition, the evolution of economies of scale for SATS aircraft will significantly reduce acquisition and operating costs over the Roadmap time span for mass markets.  Ultimately, the SATS development should be planned to support a dominant mode share in the future growth of intercity travel.

 

SATS Systems Engineering Precursor Studies were initiated to support the development of the NASA-led National General Aviation Roadmap, the National Research Council (NRC) SATS Study, the Federal Aviation Administration (FAA) SATS Mission Needs Statement development, and the SATS Non Advocate Review (NAR) effort.  The studies are designed to define SATS and provide a body of reference material to help determine whether a SATS development program should proceed.

 

The University of Nebraska’s Aviation Institute is actively participating in the SATS program through its NASA Nebraska EPSCoR Preparation Grant, which began in May of 1999.  The SATS Systems Engineering Precursor Studies/Nebraska Implementation cluster of this grant is supporting the on-going National SATS effort by developing a computer-based decision support system/model for SATS implementation in the State of Nebraska.  The systems engineering requirements and SATS metrics for implementation in Nebraska are being identified and their inter-relationships (cause-and-effect relationships) are being investigated.  These requirements and metrics include air travel demand, mobility, accessibility, travel time, travel cost, capacity, safety, vehicle technology, air traffic control, communications technology, airport facilities, demographics, social, economic, political, and environmental factors.  Three alternative forms (verbal, visual, and mathematical) of the model are being developed.  The verbal description is a mental model of the SATS system expressed in words.  The visual description is diagrammatic and shows the cause-and-effect relationships between many variables in a simple and concise manner.  The visual model, or “causal diagram,” is being translated into mathematical/computer model.  All forms of the model are equivalent, with any one form merely serving as an aid to understanding for someone who is not fluent in the other languages.  However, the verbal description does not lend itself to formal analysis.  The visual causal diagram can only be analyzed qualitatively.  The mathematical/computer model is by far the most precise and is the only representation of the system that permits quantitative analysis and the evaluation of alternative plans and strategies.

 

During the development of this model, it is anticipated that the SATS operational concept and architecture in Nebraska be defined. It is also anticipated that the reasons for SATS implementation in Nebraska be identified by a comparative analysis of the user/non-user and provider benefits in terms of affordability, accessibility, speed, availability, robustness, capacity, simplicity, safety, and environmental impacts with the existing transportation modes.  The shortfall areas between a fully implemented SATS end state and current capabilities in the technological, public, business, and financing domains will also be determined.  It is also anticipated that the roles and responsibilities of government, industry, academia, and special interest organizations for SATS development, deployment, and maintenance in Nebraska be identified.  The potential locations for SATS near-term and far-term deployment in Nebraska will be determined, and a schedule for SATS implementation will be developed.  Finally, the risks of a successful development and deployment of SATS in Nebraska will be investigated using the computer model.

 

It is expected that part or all anticipated outcomes of the “NASA Nebraska EPSCoR Preparation Grant: Year I” be utilized to conduct this study.  The cooperation and assistance of the NASA-led SATS Systems Engineering Team, Advanced General Aviation Transport Experiments (AGATE), Volpe, Federal Aviation Administration, Nebraska Department of Aeronautics, Nebraska Department of Roads, Mid-America Transportation Center, and Peter Kiewit Institute is also being sought during the conduct of this study.

 

Although the model development/modification and implementation will be an ongoing effort through SATS lifecycle, it is anticipated that a pilot verbal model be completed by the end of the first year and a pilot visual model (causal diagram) be completed by the end of the second year.  The pilot mathematical/computer model will be developed in parallel to verbal and visual models, and it will be completed after the verbal and visual models are exposed to criticism and revised/modified.  This sequential and iterative modeling procedure will continue as long as it proves useful.