Details:

Creators:
Lee, Chanyoung ; Wang, Zhenyu
Lee, Chanyoung ; Wang, Zhenyu Less -
Corporate Creators:
University of South Florida. Center for Urban Transportation Research
Subject/TRT Terms:
[+]
Bus Rapid Transit Bus Rapid Transit (BRT) Decision Making Discrete Choice I72: Traffic And Transport Planning Investments Land Use Land Use Models Planning And Forecasting Public Policy Public Transportation Research Hub Simulation Urban Development
Resource Type:
Tech Report
Geographical Coverage:
Florida ; United States
Florida ; United States Less -
TRIS Online Accession Number:
01469917
Edition:
Final Report
Corporate Publisher:
Florida. Dept. of Transportation
NTL Classification:
NTL-PLANNING AND POLICY-Land Use;NTL-PLANNING AND POLICY-Travel Demand;NTL-PUBLIC TRANSPORTATION-Bus Transportation;NTL-PUBLIC TRANSPORTATION-Transit Energy and Environment;
Abstract:
Transit systems, such as commuter rail, light rail, bus rapid transit, and high speed rail, can generate significant impacts on land development patterns over time. As an aid to local decision-making, it would be very helpful to have an evaluation tool which can be developed, validated, and calibrated with local data to forecast the impacts of proposed transit investments on land use patterns and to assist in determining which policy choices might achieve a desired result. This study aims to develop an UrbanSim model to assess the changes that might result in a specific geographic area from a decision to construct a Bus Rapid Transit (BRT) investment in Hillsborough County, Florida. UrbanSim has the potential to be a powerful tool in evaluating the benefits of transit investments because it works on a much smaller geographic scale than other alternative systems and can simulate location decisions made by individual business and families. Data on parcels, households, jobs, and land plans were collected for the base year (2010) from various data resources, such as the county appraiser, census database, InfoUSA, etc. The Tampa Bay Regional Planning Model (TBRPM) model was used to produce a traffic pattern forecast. The model was validated by comparing the simulation results to the projected demographic data in the Hillsborough County Metropolitan Planning Organization 2035 Long Range Transportation Plan (LRTP). Four scenarios with different ridership levels were created of the proposed BRT investment using a short-term period (2010-2012) and a long-term period (2010-2020). The scenarios were compared to the ones without the proposed BRT route in the same years. This study found that the change in land use patterns is complex due to implementing the BRT service, either in a short-term or long-term period. The proposed BRT service has significant impacts on land use patterns in a long-term period.
Format:
PDF
Funding:
BDK85 977-26
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:239ff2e6a70d7d0356f316e2fe999a8558b235733a8013ca62a5c091aa2cd8e2
Download URL:
https://rosap.ntl.bts.gov/view/dot/25444/dot_25444_DS1.pdf
File Type:

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