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Multimodal Transportation Planning Data: Final Report (1997)

Chapter: 3. Interpretation, Appraisal, Application

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Page 131
Suggested Citation:"3. Interpretation, Appraisal, Application." Transportation Research Board. 1997. Multimodal Transportation Planning Data: Final Report. Washington, DC: The National Academies Press. doi: 10.17226/6342.
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Page 131

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Jack FaucettAssociate~v, inc. Final Report March 1907 . 3. INTERPRETATION, APPRAISAL, APPLICATION Improvement in the collection and organization of data for transportation planning offers a large opportunity for improving efficiency in planning a well as to achieve economies in data collection, storage and dissemination. Improved efficiency in planning can result from standardization in concepts and definitions and organization of data to facilitate its interchange among multiple users. Economies are achieved by reducing redundancy in data collection, reducing the need to adjust non- uniform data for different applications and in the dissemination and interpretation of data by multiple users. The proposed Data Program ensures that these objectives are met by improving coordination, organization, consistency, and integration in data activities that support the multimodal transportation planning process. The proposed Data Program is driven by planning objectives, supporting strategies, and system attributes that may or may not focus on legislative requirements. Consequently, the proposed Data Program ensures both stability and efficiency in the planning process. The recommended framework for classifying data for retrieval is organized hv .el~nnlv 11-mSlna ~ ~ ~ ~ ~ ~ . . . . pcllolll~a~l`;e anu system soclo-econo~m~lc and environmental impacts. The framework is a al l~s'Pqt-.rl c=C!tPm for c,tq~ria+~;~7;~r~ ~^ clam+ ~1~ `~ LO ~__~_ __ ~ _ _ ~ 111 lull OLall4~Ul~lll.~; uaLu, ~1~.t 11~;~(1s 10 De eXcn,q~ns,P,~ ,qm~na nlannin~ morn - ;~q`;~^ 1~1.. ~ ~ ~ ~· 1 1 ~ O ~ ~^~ ,e~e Van ~,~1V11O 1~ Rely data on Iransporlallon demand, and reactions to changes in infrn.etril~tilrP hv ~lcPrc Of thy transportation infrastructure, which requires extensive modeling. Data on sunclv nertorm~nc.P. once O`~ ;~^ ~ ~ A 1:~: ~__~ `_ · _._ _1 ~^ _ ~} ~- ~ ~w O'OL~111 Ma 11~ ~ lllulti 111111; lit;;. 1Or 1mercnqna~ ,qm~na nl,onnin~ r~rr~q~i,7ql;~c' c; ~..~ ~ en_ Act_ - - = ~-~e ~` e~L1~1~11o o111~ lllU~11 ~ · ~ · ~ .~ . ~ ~ 01 its IS under the. control of management systems operated within a planning organization, (eeg.' pavement maintenance and transit operating schedules). However, to the extent that any of the data and software, especially modeling techniques and empirical results are subject to interchange through cooperative agreements, it is imperative that an agreed upon data classification framework be implemented with standardized definitions. This means that planning efficiency in this To the extent that the dissemination can be improved and significant resource savings realized. largest volume of data is applicable only to management systems under control of the planning organizations, any revisions to organization of these data are left to their selection of innovative practices and their priority constraints on data organization. NCHRP-Multimodal Transportation 131 Project 8-32(5) Planning Data

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