Estimation of the Evacuation Time According to Different Flood Depths

Piyapong Suwanno, Chaiwat Yaibok, Noriyasu Tsumita, Atsushi Fukuda, Kestsirin Theerathitichaipa, Manlika Seefong, Sajjakaj Jomnonkwao and Rattanaporn Kasemsri ()
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Piyapong Suwanno: Research Unit of Technology and Innovation on Civil Engineering, Rajamangala University of Technology Srivijaya University, Nakhon Si Thammarat 80210, Thailand
Chaiwat Yaibok: Research Unit of Technology and Innovation on Civil Engineering, Rajamangala University of Technology Srivijaya University, Nakhon Si Thammarat 80210, Thailand
Noriyasu Tsumita: Department of Transportation Systems Engineering, Nihon University, Chiba 274-8501, Japan
Atsushi Fukuda: Department of Transportation Systems Engineering, Nihon University, Chiba 274-8501, Japan
Kestsirin Theerathitichaipa: School of Transportation Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Manlika Seefong: School of Transportation Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Sajjakaj Jomnonkwao: School of Transportation Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Rattanaporn Kasemsri: School of Civil Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand

Sustainability, 2023, vol. 15, issue 7, 1-23

Abstract: This study focused on pre-flood measures to estimate evacuation times impacted by flood depths and identify alternate routes to reduce loss of life and manage evacuation measures during flood disasters. Evacuation measures, including traffic characteristics, were reviewed according to different flood depths. Several scenarios were constructed for different flooding situations and traffic volumes. Evacuation times in the study area were evaluated and compared for all scenarios with reference to dry conditions. Results of network performance indicators compared to the dry situation showed that average speed dropped to 2 km/h, VHT rose above 200%, and VKT rose above 30%. Cumulative evacuee arrival percentage increased when flood levels were higher than 5 cm. Flood levels of 10–15, 15–20, 20–25, and 25–30 cm represented percentages of remaining evacuees at 9%, 19%, 49%, and 83%, respectively. Time taken to evacuate increased according to flood level. For flood depths of 5–30 cm, travel time increased by 40, 90, 260, and 670 min, respectively, suggesting the need for early evacuation before the flood situation becomes serious.

Keywords: traffic behavior; evacuation time; flood water evacuation; road network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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