Trip internalization in multi-use developments.
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2014-04-01
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Abstract:Internal trip capture refers to how the number trips to and from a development are reduced by the proximity of ; complementary land uses within the development (e.g., residential to retail). Internal trips occur within the ; development and do not encumber the traffic flow on the public roadways connecting the development with the ; transportation network. Internal trip capture rates are used to estimate trip generation on mixed-use developments by ; adjusting the single land use estimates. These single land use estimates tend to overestimate the trip generation ; behavior for mixed-use developments. Accurate internal trip capture rate estimates and methodologies are necessary ; to improve the trip generation estimates for mixed-use developments. Nationwide, there have been efforts to enhance ; both the data availability and estimation methodologies to estimate internal trip capture rates. In this project, internal ; trip capture data from four mixed-use developments in Florida were collected and analyzed using a recently-enhanced ; internal trip capture methodology developed by the National Cooperative Highway Research Program (NCHRP). Results ; showed that the enhanced methodology produced generally more accurate estimates than those from the traditional ; ITE internal trip capture procedure. In the NCHRP methodology, the maximum unconstrained internal trip capture rates ; from land use pairs are chosen in mixed-use developments. Data collected in this project can potentially contribute with ; 33 percent of these unconstrained internal trip capture rates used in the enhanced methodology for internal trip ; capture estimation. A series of prediction tests was developed to assess the contribution of the unconstrained internal ; trip capture rates supplied by this study to the accuracy of the trip generation estimates. It was found that the use of ; the revised unconstrained internal trip capture rates based on the combined NCHRP and FDOT data improved the ; prediction capability in five out of eight test cases, with one test case tied. In addition to internal trip capture ; estimates, this project also collected transportation mode and internal trip length information. Guidance for improving ; the data collection process and estimation are also provided.
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Main Document Checksum:urn:sha-512:4ff43857c4c7b89818d7459dd2f973e8b687a639bb14f919cfc1a30272ac76f50ddaedc74276be1c4b14ec059fdd63be3f658472e85a8599753d3cfb99a517f4