United States Department of Transportation
i
Developing Massachusetts-Specific Trip Generation Models for Land Use Projects
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2023-09-01
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[PDF-3.51 MB]
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Edition:Final Report (September 2023)(March 2021- September 2023)
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Abstract:Vehicle trip generation is used to identify potential transportation impacts associated with new development projects and to provide a substantive basis for determining appropriate impact mitigation strategies. In the United States, trip rate estimation typically relies on vehicle trip rates for specific land use types as provided in the Trip Generation Manual published and updated by the Institute of Transportation Engineers (ITE). The ITE manual uses trip generation data derived primarily from suburban project sites that are highly automobile-dependent. ITE trip generation rates have been found to be sometimes overestimated for urban sites that typically benefit from their proximity to public transportation. This research aims to develop Massachusetts-specific trip generation models for high-priority land uses using location-based services (LBS) data. The accuracy of the LBS data is then validated using ground truth data derived from traffic videos captured at some selected development sites. The recorded videos are processed using a deep learning model to derive vehicle and person counts. The proposed approach based on LBS data can significantly reduce the efforts and time needed to collect trip generation data for model fitting, making it possible to frequently update trip generation models and develop more sophisticated models to capture temporal changes in trip generations. The computer vision and deep learning model provides a useful tool for MassDOT to collect ground truth trip generation data in the future for model development and validation purposes. A comparison of the trip generation results from different methods suggests that the LBS estimates are reasonably accurate and can be used as a promising data source for developing Massachusetts trip generation models.
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