Complete Streets: A New Capability Maturity Model
Publication: Journal of Urban Planning and Development
Volume 148, Issue 1
Abstract
Complete Streets (CS) practice in the United States is heterogeneous. While organizations like the National Complete Streets Coalition have offered guidance on the formation of a robust Complete Streets policy, the maturity of public programs for Complete Streets practice is ill-defined. This research adapts existing transportation-focused capability maturity frameworks to propose a new capability maturity model for Complete Streets that is designed to help organizations evaluate current program maturity and identify next steps for evolving practice. The model includes a self-assessment tool and a set of qualitative descriptions of incrementally increasing maturity across seven program dimensions determined to be fundamental to the success of Complete Streets programs. The proposed model is designed to assist in strategic planning and organizational capacity building.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
This research was made possible with the support from the Intermodal Freight Transportation Institute at the University of Memphis, the Herff College of Engineering, and from the Dwight D. Eisenhower Transportation Fellowship Program. Any opinions, findings, conclusions, or recommendations are those of the authors and do not necessarily reflect the views of the Federal Highway Administration or the University of Memphis. We wish to thank our panel of subject matter experts, Stephen Lockwood, Kevin Comstock, Michael Jelen, Nicholas Oyler, James Crook, and Ellen Zavisca, for their reviews and feedback pertaining to the initial version of the self-assessment quiz and CMM table.
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© 2021 American Society of Civil Engineers.
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Received: Oct 9, 2020
Accepted: Oct 8, 2021
Published online: Dec 1, 2021
Published in print: Mar 1, 2022
Discussion open until: May 1, 2022
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