International Journal of Traffic and Transportation Engineering
p-ISSN: 2325-0062 e-ISSN: 2325-0070
2018; 7(4): 71-77
doi:10.5923/j.ijtte.20180704.01
Er Yue, Khaled Ksaibati
Department of Civil & Architectural Engineering, University of Wyoming, Laramie, Wyoming, U.S.
Correspondence to: Er Yue, Department of Civil & Architectural Engineering, University of Wyoming, Laramie, Wyoming, U.S..
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Copyright © 2018 The Author(s). Published by Scientific & Academic Publishing.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/
Traffic volume is an important parameter in tourism development. This study developed a four-step travel demand model to predict traffic volumes on low-volume roads in Northwest Wyoming, where Yellowstone and Grand Teton National Parks are located. Tourism-related parameters, including traffic volumes at park entrances, park area, and number of campsites in park were collected and input into the travel demand model for estimating traffic volumes. The average daily traffic (ADT) values from model outputs were obtained and mapped to analyze the traffic flow on low-volume roads. The accuracy of the model prediction was improved after incorporating tourism into the model. This study indicated that tourism is a main trip generator near Yellowstone and Grand Teton National Parks, since a lot of tourism activities take place in this area. The tourism-based travel demand model developed in this study can be used by other states or regions where tourism is a major generator of traffic flow. The model was also recommended for use by government agencies as well as national and state parks for traffic prediction and transportation planning on low-volume roads.
Keywords: Travel demand model, Tourism, Low-volume roads, Average daily traffic, Transportation planning
Cite this paper: Er Yue, Khaled Ksaibati, Using Tourism-Based Travel Demand Model to Estimate Traffic Volumes on Low-Volume Roads, International Journal of Traffic and Transportation Engineering, Vol. 7 No. 4, 2018, pp. 71-77. doi: 10.5923/j.ijtte.20180704.01.
Figure 1. Study Area |
Figure 2. Park Entrances Included in the Study |
Figure 3. ADT at Park Entrance |
Figure 4. TAZs and Road Network |
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Figure 5. Low-Volume Road vs. Non Low-Volume Road |
Figure 6. Estimated ADT without vs. with Tourism |