Integrated Model for Studying Small Aircraft Transportation System

Author(s):  
Antonio A. Trani ◽  
Hojong Baik ◽  
Howard Swingle ◽  
Senanu Ashiabor

A systems engineering methodology was used to study the National Aeronautics and Space Administration’s (NASA’s) Small Aircraft Transportation System (SATS) concept as a feasible mode of transportation. The proposed approach employs a multistep intercity transportation planning process executed inside a Systems Dynamics model. Doing so permits a better understanding of SATS impacts to society over time. The approach is viewed as an extension to traditional intercity transport models through the introduction of explicit demand–supply causal links of the proposed SATS over the complete life cycle of the program. The modeling framework discussed is currently being used by the Virginia SATS Alliance to quantify possible impacts of the SATS program for NASA’s Langley Research Center. There is discussion of some of the modeling efforts carried out so far and of some of the transportation modeling challenges facing the SATS program ahead.

2008 ◽  
Vol 45 (6) ◽  
pp. 1825-1834 ◽  
Author(s):  
Brian T. Baxley ◽  
Daniel Williams ◽  
Maria Consiglio ◽  
Cathy Adams ◽  
Terrence Abbott

Systems ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 6 ◽  
Author(s):  
Matthew Amissah ◽  
Thomas Gannon ◽  
Jamie Monat

Systems thinking is an approach to reasoning and treatment of real-world problems based on the fundamental notion of ‘system.’ System here refers to a purposeful assembly of components. Thus, systems thinking is aimed at understanding relationships between components and their overall impact on system outcomes (i.e., intended and unintended) and how a system similarly fits in the broader context of its environment. There are currently several distinct flavors of systems thinking, both in practice and scholarship; most notably in the disciplines of systems science, systems engineering, and systems dynamics. Each of these, while similar in purpose, has a distinct history and a rich set of methods and tools for various application contexts. The WPI Systems Thinking Colloquium held on 2 October 2019 was aimed at exploring the diversity of perspectives on systems thinking from these disciplines. The colloquium brought together world-renowned experts from both industry and academia to share insights from their research and practice. This paper offers a compilation of summaries of the presentations given.


2006 ◽  
Vol 43 (6) ◽  
pp. 1613-1620
Author(s):  
Daniel M. Williams ◽  
Jennifer L. Murdoch ◽  
Catherine H. Adams

Author(s):  
William G. Barker

This paper makes the case that the current urban transportation system in San Antonio, Texas, is far from sustainable. Implications of that status are presented. After a review of the measures that are recommended to move a region toward sustainability, a comparison is made between current programs and plans, expert recommendations, and input from local citizens. The paper closes with recommendations for improving the planning process.


2012 ◽  
Vol 5 ◽  
pp. 50-55
Author(s):  
Li Bing Chi ◽  
Jian Wang

Due to development in computer and information technology, data access and collection have becoming more and more convenient. In many cities’ transit system, transit vehicle GPS data and passenger IC card data could be provided. This paper focuses on the method that uses the passenger IC card data (only record once per trip) and transit vehicle GPS data to generate the transit OD matrix. After analyzing the characteristic of transit trips, the author gives the definition of continuity for a transit trip. Based on this definition, this paper then presents a search method to generate the transit OD matrix. The validity of this method has been tested in the modeling process for Zhengzhou city’s comprehensive transportation system. At the end, it is hoped that this research may give a useful lesson for other cities’ transportation modeling practice.


2019 ◽  
Vol 11 (24) ◽  
pp. 3048
Author(s):  
Laura Brewington ◽  
Victoria Keener ◽  
Alan Mair

This project developed an integrated land cover/hydrological modeling framework using remote sensing and geographic information systems (GIS) data, stakeholder input, climate information and projections, and empirical data to estimate future groundwater recharge on the Island of Maui, Hawaiʻi, USA. End-of-century mean annual groundwater recharge was estimated under four future land cover scenarios: Future 1 (conservation-focused), Future 2 (status-quo), Future 3 (development-focused), and Future 4 (balanced conservation and development), and two downscaled climate projections: a coupled model intercomparison project (CMIP) phase 5 (CMIP5) representative concentration pathway (RCP) 8.5 “dry climate” future and a CMIP3 A1B “wet climate” future. Results were compared to recharge estimated using the 2017 baseline land cover to understand how changing land management and climate could influence groundwater recharge. Estimated recharge increased island-wide under all future land cover and climate combinations and was dominated by specific land cover transitions. For the dry future climate, recharge for land cover Futures 1 to 4 increased by 12%, 0.7%, 0.01%, and 11% relative to 2017 land cover conditions, respectively. Corresponding increases under the wet future climate were 10%, 0.9%, 0.6%, and 9.3%. Conversion from fallow/grassland to diversified agriculture increased irrigation, and therefore recharge. Above the cloud zone (610 m), conversion from grassland to native or alien forest led to increased fog interception, which increased recharge. The greatest changes to recharge occurred in Futures 1 and 4 in areas where irrigation increased, and where forest expanded within the cloud zone. Furthermore, new future urban expansion is currently slated for coastal areas that are already water-stressed and had low recharge projections. This study demonstrated that a spatially-explicit scenario planning process and modeling framework can communicate the possible consequences and tradeoffs of land cover change under a changing climate, and the outputs from this study serve as relevant tools for landscape-level management and interventions.


Author(s):  
Yue Xu ◽  
Antonio A. Trani ◽  
Hojong Baik

A preliminary assessment is presented of the required lower landing minima (LLM) capabilities needed to support the Small Aircraft Transportation System (SATS) Program. The goal of this analysis is to understand the number of potentially challenged SATS airports and to identify methods to remove obstacles by using technology solutions. Four obstacle removal methods are considered to assess the challenges faced by the SATS Program in providing LLM capabilities to 3,416 U.S. airports. Two views of runway obstacle analysis are presented: a critical object analysis and a detailed multiobject analysis that includes terrain information. A comparison is made between decision altitudes (DAs) derived by approach lighting infrastructure and glide path angle thresholds and DA values considering other airport characteristics such as terrain. A detailed case study is presented to compare the single critical object analysis with the more detailed multiobject analysis, which was performed for Blacksburg Airport, in Virginia.


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