Economic Scenarios and Development Patterns in the Baltimore‐Washington Region

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dc.contributor.authorClifton, Kelly
dc.contributor.authorKaza, Nikhil
dc.contributor.authorKnaap, Gerrit
dc.date.accessioned2018-11-20T18:18:16Z
dc.date.available2018-11-20T18:18:16Z
dc.date.issued2009
dc.description.abstractThis paper illustrates the use of scenarios in land use, environmental and transportation planning in and around the State of Maryland. Different assumptions about futures result in different patterns of growth with differential impacts on particular sectors of the economy. Such different patterns require formulation of contingent plans as well as robust plans. In this paper, we illustrate the quantitative modelling methodology of loosely linked economic demographic, transportation and other impact assessment models in constructing two scenarios; one of which represented the best possible guess about the continuation of the future and other involving rapid changes to energy prices and Federal spending. We illustrate the spatial development outcomes and the transportation and environmental plans that are necessary to deal with these different outcomes. Further, we illustrate that different planned actions have different efficacies in different futures and thus multiple futures should be carefully considered. Finally, we illustrate the notions of contingent plans and robust plans.en_US
dc.identifierhttps://doi.org/10.13016/M2D795F60
dc.identifier.urihttp://hdl.handle.net/1903/21481
dc.language.isoen_USen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.subjectEconomic Developmenten_US
dc.subjectLand Useen_US
dc.subjectMarylanden_US
dc.subjectquantitative modelling methodologyen_US
dc.subjectimpact assessmenten_US
dc.subjectspatial development outcomesen_US
dc.subjectcontingent plansen_US
dc.subjectrobust plansen_US
dc.titleEconomic Scenarios and Development Patterns in the Baltimore‐Washington Regionen_US
dc.typeArticleen_US

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