Info Center Transportation

Overview

Transportation

SACOG’s Transportation Analysis and Modeling Team maintain the regional forecasting models and produce training materials and regional data summaries on a regular basis.

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BIG DATA PILOT PROJECT FOR TANSPORTATION PLANNING: REPLICA

SACOG, partnering with Caltrans and the California Air Resource Board, funded the development of Replica – a new approach to present the regional travel patterns based on the latest big data. The data in the Replica online platform includes all person trips made by SACOG residents and visitors, and commercial vehicle trips. To know more about Replica, please read Introduction to Replica and Data Description.

For data requests, SACOG staff can help assist by filling out the Data Request Form.

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2018 SACOG REGIONAL HOUSEHOLD TRAVEL SURVEY

To understand how people get around daily and make transportation better in the future, SACOG conducted a household travel survey in the six county region from April 10 to May 21, 2018. The survey dataset includes 4010 households, 8321 persons, and 146,000 (linked) trips across 34,000 complete person-days. The Sacramento Regional Transportation Study 2018 survey report is available and more data will come soon.

To access the data, please read the data release notes and sign the disclosure terms and conditions form.

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Travel Data Links

Models

SACOG deals with many complex mobility issues facing the Sacramento region, including the development of a long-range Metropolitan Transportation Plan (MTP). Transportation and land use models perform a very basic yet vital set of functions. Models are principal tools used for alternatives analysis, and they provide planners and decision makers with information to help them equitably allocate scarce resources.

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Regional Transportation Monitoring Report

This series of reports provides key data on several variables of great interest for transportation planning in the SACOG region. Sources relate to employment, population and housing growth, demographics (e.g., income, age, etc.), costs of transportation and other factors which directly or indirectly influence travel demand and travel patterns in the region. Additionally, SACOG tracks data sources on vehicle miles traveled, congestion, mode of commute, travel times, etc.