Chapter
Jul 11, 2018
International Conference on Transportation and Development 2018

Lessons Learned from Modeling the Evacuation of a Suburban University Campus

Publication: International Conference on Transportation and Development 2018: Planning, Sustainability, and Infrastructure Systems

ABSTRACT

University campuses can be at risk during natural and man-made disasters because of the concentration of population and buildings. During emergency situations, traffic congestion may occur because of high traffic volumes and vehicle-pedestrian conflicts. Evacuation modeling and planning can aid in guiding the vehicles and pedestrians to safety, in the shortest time possible. To that end, a case study was conducted on an evacuation scenario at Southern Illinois University Edwardsville, an isolated campus in the suburbs of St. Louis, Missouri, USA. The researchers used the model to predict total clearance time, identify problematic locations, and evaluate low-cost operational improvements. Although the evacuation was expected to produce large volumes of pedestrians crossing a key evacuation link, it was found that vehicle-pedestrian conflicts at these locations did not have a significant effect on the overall evacuation period because the timing of these flows was offset.

Get full access to this chapter

View all available purchase options and get full access to this chapter.

REFERENCES

Barton, K. (2016). False bomb threat causes evacuation of College of Media and Communication. March 4. <http://www.dailytoreador.com/news/false-bomb-threat-causes-evacuation-of-college-of-media-and/article_b56015ca-e236-11e5-abcc-33de077402cf.html>.
Bonisch, C., & Kretz, T. (2009). Simulation of Pedestrians Crossing a Street. Traffic and Granular Flow 2009. Shanghai.
Brailsford and Dunlavey. (2014). SIUE Space Utilization Study. Report.
Capote, J., Alvear, D., Abreu, O., Cuesta, A., & Alonso, V. (2012). A Stochastic Approach for Simulating Human Behaviour During Evacuation Process in Passenger Trains. Fire Tech., 911–25.
Duanmu, J., Taaffe, K. M., Chowdhury, M., & Robinson, M. R. (2012). Simulation analysis for evacuation under congested traffic scenarios: a case study. Simulation, 88 (11), 1379–1389.
Fang, Z., Li, Q., Li, Q., Lee, D., & Shaw, S. (2013). A Space-time Efficiency Model for Optimizing Intra-Intersection Vehicle-Pedestrian Evacuation Movements. Transp. Res. Part C., 31, 112–130.
Feng, L., Miller-Hooks, E., & Brannigan, V. (2014). Mathematical Modeling of Command and Control in Crowd Movement. Transp. Research Record, 2459, 47–53.
Ghale, K. (2015). Modeling the Traffic Impacts during Evacuation of a Suburban University Campus: A Case Study. SIUE, Civil Engineering, Edwardsville. Thesis.
Goltz, J. D. & Bourque, L. B. (2017). Earthquakes and human behavior: A sociological perspective. Intl. J. of Disaster Risk Reduction. 21, 251–265.
Gorrini, A., & Bandini, S. (2014). Group Dynamics in Pedestrian Crowds Proxemic Behavior Estimation. Transportation Research Record, 2421, 51–56.
Gu, Y. (2014). Integrating a Regional Planning Model (TRANSIMS) With an Operational Model (CORSIM). Virginia Polytechnical University.
Hoogendoorn, S., Daamen, W., Duives, D., & Wageningen-Kessels, F. V. (2014). Optimal Crowd Evacuation. TRB 2014 Annual Meeting, (pp. 1–19). Washington D.C.
Hsu, Y.-T., & Peeta, S. (2013). An aggregate approach to model evacuee behavior for no-notice evacuation operations. Transportation, 671–696.
Iizuka, K., Iizuka, Y., & Yoshida, K. (2011). A Real-time Disaster Situation Mapping System for University Campuses. Proc. 4th Intl. Conf. Online Communities and Social Computing. Orlando.
Illinois Department of Transportation. (2014). Retrieved June 22, 2017, from Getting Around Illinois: <http://www.idot.illinois.gov/travel-information/roadway-information/Work-Zones/index>.
Kneidl, A., Hartmann, D., & Borrmann, A. (2013). A Hybrid Multi-scale Approach for Simulation of Pedestrian Dynamics. Transp. Res. Part C, 37, 223–237.
Li, S., & Niu, H. (2014). Simulation of Bi-direction Pedestrian Movement in Corridor Based on Crowd Space. Procedia - Social and Behavioral Sciences, 323–331.
Lin, D., Yang, X., & Gao, C. (2013). VISSIM-based Simulation Analysis on Road Network of CBD in Beijing, China. Procedia - Social and Behavioral Sciences, 96 (6), 461–472.
Lorenzo, M., & Guido, G. (2009). Simulating Car-pedestrian Interactions during Mass Events with DTA Models: The Case of Vancouver Winter Olympic Games. Proc. European Trans. Conf. 2009. Noordwijkerhout.
Malesic, M., Prezelj, I., Juvan, J., Polic, M., and Uhan, S. (2015). Evacuation in the event of a nuclear disaster: Planned activity or improvisation?. Intl. J. of Disaster Risk Reduction. 12, 102–111.
Mauro, M., Megawati, K., Cedillos, V., & Tucker, B. (2013). Tsunami Risk Reduction for Densely Populated Southeast Asian Cities. Nat. Hazards, 373–404.
Qu, Y., & Dan, Y. (2014). Modeling the Evacuation Behavior Considering the Effect of Dangerous Source. Procedia - Social and Behavioral Sciences, 138 (14), 800–810.
Rong-xue, S., Pei-hong, Z., & Mao-hua, Z. (2013). Investigation and Analysis on Evacuation Behavior of Large Scale Population in Campus. Procedia Engineering, 52, 302–308.
Shiwakoti, N., Sarvi, M., & Burd, M. (2014). Using non-human biological entities to understand pedestrian crowd behaviour under emergency conditions. Safety Science, 66, 1–8.
Shiwakoti, N. (2016) Understanding differences in emergency escape and experimental pedestrian crowd egress through quantitative comparison. Intl. J. of Disaster Risk Reduction. 20, 129–137.
SIUE. (2016). Fact Book. pg. 27 and 83 <http://www.siue.edu/inrs/factbook/>.
SIUE. (2017). Maps and Directions. <http://www.siue.edu/maps/>.
Suarez, C. (2017). Miami Dade College Hialeah campus evacuated due to bomb threat. Local10.com. February 28. <https://www.local10.com/news/florida/hialeah/miami-dade-college-hialeah-campus-evacuated-due-to-bomb-threat>.
Udenta, F., Jha, M., Mishra, S., & Maji, A. (2014). Disaster Management for Urban Commute in a Multimodal Transportation Context. Proc. TRB 2014 Annual Meeting. Washington D.C.
Wells, J. (2012). Evaluating Alternatives for a Congested Campus Intersection: Evaluation of Vehicle-Pedestrian Interaction Using Microsimulation. SIUE, Civil Engineering, Thesis.
Zhang, X., & Chang, G. (2014). An Optimization Model for Guiding Pedestrian–Vehicle Mixed Flows during an Emergency Evacuation. J. of Int. Transp. Systems, 18 (3), 273–285.
Zhao, X., Feng, M.-j., Li, H.-y., and Zhang, T. (2016). Optimization of Signal Timing at Critical Intersections for Evaluation. Procedia Engineering. 137, 334–342
Zhou, Z., Wang, N., & Mirchandani, P. (2014). Role of Pedestrian Management in Evacuations.”. TRB Annual Meeting 2014, (pp. 1–18). Washington D.C.

Information & Authors

Information

Published In

Go to International Conference on Transportation and Development 2018
International Conference on Transportation and Development 2018: Planning, Sustainability, and Infrastructure Systems
Pages: 59 - 70
Editors: Yinhai Wang, Ph.D., University of Washington, and Michael T. McNerney, Ph.D., University of Texas at Arlington
ISBN (Online): 978-0-7844-8156-1

History

Published online: Jul 11, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Ryan N. Fries, Ph.D., M.ASCE [email protected]
P.E.
Dept. of Civil Engineering, Southern Illinois Univ. Edwardsville, Box 1800, Edwardsville, IL 62026. E-mail: [email protected]
Karna Ghale [email protected]
Dept. of Civil Engineering, Southern Illinois Univ. Edwardsville, Box 1800, Edwardsville, IL 62026. E-mail: [email protected]
Bryan Dirks [email protected]
P.E.
U.S. Army Corps of Engineers, 1222 Spruce St., #4100, St. Louis, Missouri, 63103. E-mail: [email protected]
Yan Qi, Ph.D. [email protected]
P.E.
Dept. of Civil Engineering, Southern Illinois Univ. Edwardsville, Box 1800, Edwardsville, IL 62026. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share