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Belal, Saika

Publications and source records attributed to Belal, Saika.

Enabling behavior through personal commitment statements: why do they work?

We define and test three main hypotheses each examining a mechanism by which personal commitment statements may influence behavior: future-self continuity, disappointment or regret aversion, and present-biased preferences coupled with sophistication. A set of additional analyses are conducted exploring a personal commitment statement’s role as an enabling device that either increases, or is correlated with, intent to implement the desired behavior. Hypotheses are tested using data from a field experiment regarding public transit ridership. Results indicate that the strongest candidate mechanism for the effectiveness of a commitment statement to induce behavior change is the presence of present-biased preferences coupled with sophistication, or self-awareness of one’s own limitations in following through with effortful behaviors. In addition, results suggest that the preference for one commitment mechanism could indicate a general preference for commitment mechanisms, but the presence of one commitment mechanism may crowd out perceived need for or interest in other enabling steps.

99 GENERAL AND MISCELLANEOUS↗

SMART Mobility. Mobility Decision Science Capstone Report

The U.S. Department of Energy’s Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Consortium is a multiyear, multi-laboratory collaborative, managed by the Energy Efficient Mobility Systems Program of the Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office, dedicated to further understanding the energy implications and opportunities of advanced mobility technologies and services. The first three-year research phase of SMART Mobility occurred from 2017 through 2019, and included five research pillars: Connected and Automated Vehicles, Mobility Decision Science, Multi-Modal Freight, Urban Science, and Advanced Fueling Infrastructure. A sixth research thrust integrated aspects of all five pillars to develop a SMART Mobility Modeling Workflow to evaluate new transportation technologies and services at scale. This report summarizes the work of the Mobility Decision Science Pillar. The Mobility Decision Science Pillar sought to fill gaps in existing knowledge about the human role in the mobility system including travel decision-making and technology adoption in the context of future mobility. The objective was to study how underlying preferences, needs, and contextual factors might constrain or hasten future transportation system scenarios. For information about the other Pillars and about the SMART Mobility Modeling Workflow, please refer to the relevant pillar’s Capstone Report.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗