Meeting Climate, Mobility, and Equity Goals in Transportation Planning Under Wide-Ranging Scenarios

A Demonstration of Robust Decision Making

Published in: Journal of the American Planning Association (2020). doi: 10.1080/01944363.2020.1727766

Posted on RAND.org on May 21, 2020

by Robert J. Lempert, James Syme, George Mazur, Debra Knopman, Garett Ballard-Rosa, Kacey Lizon, Ifeanyi Edochie

Read More

Access further information on this document at Taylor & Francis Group, LLC

This article was published outside of RAND. The full text of the article can be found at the link above.

Problem, Research Strategy, and Findings

Prediction-based approaches, the heart of current transportation planning practice, are inadequate for informing transportation decisions in today's rapidly changing conditions. In this study we offer an initial demonstration of how robust decision making (RDM) might enhance current long-range planning by applying the approach to selected components of Sacramento Area Council of Government's (SACOG's) 2016 regional transportation plan. RDM, a quantitative, exploratory, scenario-based method, informs decisions under deep uncertainty by stress-testing proposed plans over thousands of plausible futures, identifying scenarios that best distinguish futures in which plans meet and miss planning goals, and using these scenarios to identify more robust plans. Our analysis suggests that SACOG's ability to meet critical mobility and climate goals depends on socioeconomic growth, fuel price, and fuel efficiency assumptions. This study explores potential responses to these vulnerabilities and suggests a path toward wider RDM usage in transportation planning. Our study is limited by the use of a simple cohort model, calibrated to a single predictive scenario run of SACOG's Sacramento Regional Activity-Based Simulation Model (SACSIM) travel demand model. A more complete RDM analysis would require multiple runs of a model with more explicit treatments of feedbacks and spatial representations.

Research conducted by

This report is part of the RAND Corporation external publication series. Many RAND studies are published in peer-reviewed scholarly journals, as chapters in commercial books, or as documents published by other organizations.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.