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Original Articles

A systems-based approach to address unintended consequences of demand-driven transportation planning in national parks and public lands

, &
Pages 98-108 | Received 25 May 2015, Accepted 23 May 2016, Published online: 07 Jun 2016
 

ABSTRACT

In most cases, transportation planning in national parks and public lands might most appropriately be termed “demand-driven.” In this approach, rigorous analyses of park visitation, traffic, and parking data are used as a basis for transportation planning to accommodate current and projected future visitor demand, within financial constraints. Performance measures used to assess the quality of transportation systems in national parks are generally related to “moving people” efficiently. This approach is based on well-established principles for transportation planning in urban and rural communities. However, a demand-driven approach to transportation planning may not be suitable in national parks and public lands because it may enable levels of visitation that cause visitor crowding, resource impacts, and other unintended consequences. This paper introduces a more sustainable, systems-based transportation planning approach developed in the Rocky Mountain National Park (ROMO) to help the park operate its shuttle bus system efficiently and conveniently, and according to thresholds for visitor crowding and resource impacts at sites serviced by the shuttle system. The transportation planning approach developed in this study for ROMO is more suitable and sustainable for national parks and public lands than a demand-driven approach, and is readily adaptable to other locations. Correspondingly, the approach is now being applied in several other national parks and public lands recreation areas.

Acknowledgments

The authors would like to thank many of their Rocky Mountain National Park colleagues for their valuable contributions, especially Larry Gamble for his constant dedication to this work. They would also like to thank their graduate students and research associates at the time of the study for considerable help with the field work, analysis, and modeling including Logan Park, Karen Hockett, Ashley D'Antonio, David Pettebone, Derrick Taff, Adam Gibson, Bob Chamberlin, Brett Kiser, Ben Swanson, and Janet Choi.

Funding

This research was funded through a grant from the Alternative Transportation in Parks and Public Lands program.

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