Safe City

Safe City

Optimal Routing of Emergency Evacuation in Central Texture of Cities (Case Study: Region 1 of Isfahan Municipality)

Document Type : Original Article

Authors
1 Master of Science Urban Planning, Department of Urbanism, University of Guilan, Rasht, Iran
2 Associate Professor of Urbanism Department, University of Guilan, Rasht, Iran
3 Assistant Professor of Urbanism Department, University of Guilan, Rasht, Iran
Abstract
Emergency evacuation and identification of optimal evacuation routes is one of the basic dimensions of crisis
management that different countries pay attention to it, according to their level of development and foresight.
Due to the study gap and insufficient attention of the country's urban management system and the weakness
of studies and research in this field, this paper identifies the optimal routes of emergency evacuation in
Region 1 of Isfahan Municipality as one of the identity-historical centers and commercial-tourism center of
the city. Isfahan has made efforts (in the form of creating a dynamic network that can be used for various
types of human-natural crises). In this regard, six main indicators of building quality, population density,
building density, building age, path width and path slope were calculated based on scientific background and
availability of required data. After that, 32 streets were selected based on the maximum width and maximum
coverage of the area, and the status of the mentioned indicators for these streets and the area located within a
radius of 100 meters was examined. Then, the mentioned indicators were weighted in the network analysis
system and SuperDecision software. After creating the network, the identification of the optimal path based
on each of the indicators was tested and 6 unique paths were tested. Based on each of the research indicators,
they were identified. Finally, by overlaying the layers, the safest route to emergency evacuation area was
identified.
Keywords

[4] Abd Rahman, N., Johari, M.S.M., & Dias, C. (2022). Exploratory study on self-awareness and selfpreparedness of Malaysian rail passengers for emergency evacuations. Transportation Engineering,
7, 100105. doi:https://doi.org/10.1016/j.treng.2022.100105
[5] Aigwi, I.E., Filippova, O., Ingham, J., & Phipps, R. (2020). Unintended consequences of the
earthquake-prone building legislation: An evaluation of two city centre regeneration strategies in
New Zealand's provincial areas. International Journal of Disaster Risk Reduction, 49, 101644.
doi:https://doi.org/10.1016/j.ijdrr.2020.101644
[6] Aman, D.D., & Aytac, G. (2022). Multi-criteria decision making for city-scale infrastructure of postearthquake assembly areas: Case study of Istanbul. International Journal of Disaster Risk Reduction,
67, 102668. doi:https://doi.org/10.1016/j.ijdrr.2021.102668
[7] Baquedano Juliá, P., Ferreira, T.M., & Rodrigues, H. (2021). Post-earthquake fire risk assessment of
historic urban areas: A scenario-based analysis applied to the Historic City Centre of Leiria,
Portugal. International Journal of Disaster Risk Reduction, 60, 102287.
doi:https://doi.org/10.1016/j.ijdrr.2021.102287
[8] Cai, Y., Wang, X., Luo, Y., & Bao, X. (2022). Mission planning of safe approach and emergency
evacuation to large slow-rotating space debris. Advances in Space Research, 69(3), 1513-1527.
doi:https://doi.org/10.1016/j.asr.2021.12.022
[9] Celano, F., & Dolšek, M. (2021). Fatality risk estimation for industrialized urban areas considering
multi-hazard domino effects triggered by earthquakes. Reliability Engineering & System Safety,
206, 107287. doi:https://doi.org/10.1016/j.ress.2020.107287
[10] Di Ludovico, D., D'Ovidio, G., & Santilli, D. (2020). Post-earthquake reconstruction as an
opportunity for a sustainable reorganisation of transport and urban structure. Cities, 96, 102447.
doi:https://doi.org/10.1016/j.cities.2019.102447
[11] Ding, N., Ma, Y., Dong, D., & Wang, Y. (2021). Experiment and simulation study of emergency
evacuation during violent attack in classrooms. Journal of Safety Science and Resilience, 2(4), 208-
221. doi:https://doi.org/10.1016/j.jnlssr.2021.09.002
[12] Giuliani, F., De Falco, A., & Cutini, V. (2020). The role of urban configuration during disasters. A
scenario-based methodology for the post-earthquake emergency management of Italian historic
centres. Safety Science, 127, 104700. doi:https://doi.org/10.1016/j.ssci.2020.104700
[13] Giuliani, F., De Falco, A., & Cutini, V. (2022). Rethinking earthquake-related vulnerabilities of historic centres in Italy: Insights from the Tuscan area. Journal of Cultural Heritage, 54, 79-93.
doi:https://doi.org/10.1016/j.culher.2022.01.004
[14] Hosseini, O., & Maghrebi, M. (2021). Risk of fire emergency evacuation in complex construction
sites: Integration of 4D-BIM, social force modeling, and fire quantitative risk assessment. Advanced
Engineering Informatics, 50, 101378. doi:https://doi.org/10.1016/j.aei.2021.101378
[15] Huang, P., Chen, M., Chen, K., Ye, S., & Yu, L. (2022). Study on an emergency evacuation model
considering information transfer and rerouting: Taking a simplified H-shape metro station hall as an
example. Tunnelling and Underground Space Technology, 124, 104485.
doi:https://doi.org/10.1016/j.tust.2022.104485
[16] Jang, S.H., Hwang, H., & Chung, J.-B. (2022). Effects of child pick-up behavior on emergency
evacuations. Nuclear Engineering and Technology. doi:https://doi.org/10.1016/j.net.2022.01.035
[17] Saavedra, J., de la Cruz, G.A., & Fernández-Vicente, P. (2021). Neoliberalism of disaster and longterm recovery: The case of the 2010 earthquake in Talcahuano, Chile. International Journal of
Disaster Risk Reduction, 61, 102356. doi:https://doi.org/10.1016/j.ijdrr.2021.102356
[18] Sharma, S., & Rastogi, B.K. (2021). Earthquake-induced damage scenario simulation. Remote
Sensing Applications: Society and Environment, 23, 100585.
doi:https://doi.org/10.1016/j.rsase.2021.100585
[19] Tang, P., Xia, Q., & Wang, Y. (2019). Addressing cascading effects of earthquakes in urban areas
from network perspective to improve disaster mitigation. International Journal of Disaster Risk
Reduction, 35, 101065. doi:https://doi.org/10.1016/j.ijdrr.2019.101065
[20] Tang, T.-Q., Yuan, X.-T., Hu, P.-C., & Wang, T. (2022). Modeling and simulating the nonemergency evacuation behavior in a hospital registration hall. Transportmetrica A Transport
Science. doi:https://doi.org/10.1080/23249935.2021.1948930
[21] Tang, Y., Xia, N., Lu, Y., Varga, L., Li, Q., Chen, G., & Luo, J. (2021). BIM-based safety design for
emergency evacuation of metro stations. Automation in Construction, 123, 103511.
doi:https://doi.org/10.1016/j.autcon.2020.103511
[22] Wang, X., Liu, Z., Loughney, S., Yang, Z., Wang, Y., & Wang, J. (2022). Numerical analysis and
staircase layout optimisation for a Ro-Ro passenger ship during emergency evacuation. Reliability
Engineering & System Safety, 217, 108056. doi:https://doi.org/10.1016/j.ress.2021.108056.