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Title:

Almost Automating the Planner: Florida Department of Transportation’s Approach to Understanding Places through Context Classification

Accession Number:

01769212

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

Context-based thinking is a transportation planning and design approach that aims to create infrastructure that serves diverse places and users. In Florida, context-based design is the approach Florida Department of Transportation (FDOT) has taken to implement its Statewide Complete Streets policy. FDOT intends to use the context of a roadway to better tailor design and planning solutions for the roadway, thereby putting the “right street in the right place.” To this end, FDOT developed a context classification system and guidance document for project corridors and has since applied the classification effort to the entire state road network. This paper shares a method that two FDOT districts, District One and District Five, used to accomplish their districtwide context classification efforts. The method leverages geographic information systems (GIS) to appropriately segment the road network, analyze connectivity, land use, and density measures, and evaluate the context classification for all state roads within each district. The resulting database is regularly updated using a GIS-based tool and serves as a rich source of information for FDOT and partner agency planners and designers.

Supplemental Notes:

© National Academy of Sciences: Transportation Research Board 2021.

Language:

English

Authors:

Kent, Margaret
Parlow, Jean
Chesna, Deborah
Carver, DeWayne
Hurd, Patty
Lim-Yap, Jane

Pagination:

pp 568-580

Publication Date:

2021-7

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2675
Issue Number: 7
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (12)

Subject Areas:

Data and Information Technology; Design; Highways; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Apr 4 2021 3:09PM

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