Geospatial Information Infrastructure for Transportation Organizations (2004) / Chapter Skim
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Pages 6-14
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6CHAPTER 2 Current Decision Making Using Geospatial Information Transportation decisions range from simple,straightforward decisions to complex multi-modal, multijurisdictional, multilevel decisions. Prioritizing road repairs requires knowing where repairs are needed and what measures to use for prioritization.
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the operating capacity of existing infrastructure while maintaining a high level of safety. Examples of initiatives include the use of the Global Positioning System (GPS)
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Current Practice Information technologies, specifically geospatial data technologies, are helping aviation decision makers to do this by increasing their understanding and decisionmaking capabilities. Providing pilots with electronic airport maps in the cockpit, giving airport managers a comprehensive view of the facilities they manage, highlighting underground utilities to construction crews, and describing FAA height restrictions to local zoning boards are examples of how geospatial data and technologies have helped.
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the ability to integrate disparate data sets to form a resource that can be used by FAA, the Department of Homeland Security, airports, and other stakeholders. This presents an opportunity for airports and FAA to improve the way they work with geospatial data.
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Challenges Data Life Cycle The data life cycle of the highway network needs to reflect more closely the life cycle of the highway itself. For example, when a new highway is planned, location data are defined.
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oil tankers in the Gulf Coast region, leading to a drop in U.S. just-in-time crude oil inventories of 12 million barrels and a significant increase in gas prices.
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ments are limited. This presents a competitive disadvantage with respect to other modes with more stable or plentiful funding sources.
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based ride-matching and itinerary-planning applications. Smart fare card systems are capable of calculating location/distance–based fares.
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constraints limit the widespread use of geospatial data to the most readily available and least expensive data sources. Many of the richest and most robust data sets that would be useful for planning are unaffordable, inaccessible, or out of date, or they provide only partial coverage of the geographic planning area.
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