Flood Assessment and Identification of Emergency Evacuation Routes in Seti River Basin, Nepal

Sudden floods frequently occur in the Himalayas under changing climates. Rapid glacial melt has resulted in the formation of glacial lakes and associated hazards. This research aimed to (1) identify flood-prone houses, (2) determine pedestrian emergency evacuation routes, and (3) analyze their relationships to socioeconomic status in the Seti River Basin. Detailed hazard maps were created using field survey results from unmanned aerial vehicle photogrammetry and the Hydrologic Engineering Center River Analysis System. Questionnaire, focus-group, and key-informant surveys helped identify the socioeconomic situation. Inundation maps revealed that most residents are exposed to future flooding hazards without proper evacuation routes. Highly impoverished and immigrant households were at the highest risk in terms of income inequality and migration rate (p < 0.001) and were located on the riverside. The locations of 455 laborers’ houses were significantly correlated with inundation hazards (p < 0.001). Governmental and associated agencies must develop adequate plans to relocate low-income households. Group discussions revealed the need for stronger adaptive capacity-building strategies for future risk management. Pokhara requires better systematic and scientific land-use planning strategies to address this issue efficiently. A similar approach that combines flood modeling, proper evacuation route access, and socioeconomic survey is suggested for this river basin.

Characteristics of Evacuation Guidance Sounds for the Visually-Impaired during Fire Alarms

Recently, various intelligent evacuation guidance systems that can be applied in buildings were studied. Technology development for the evacuation of vulnerable people such as the visually-impaired is necessary. Voice guidance is a method used to lead the visually-impaired toward the evacuation route. However, it is necessary to review whether it is possible to hear and understand the voice guidance during the sounding of fire alarms. In this study, simulations were conducted to predict the sound power level of the voice guidance device that can secure an acceptable sound transmission index of the guide sound and the appropriate distance from the voice guidance device, when a fire alarm sound is generated in a hallway space. The study found that an acceptable sound transmission index was achieved when the sound power level was 100 dB and the appropriate type of sound device was found to be a necklace-type headset or a regular headphone.

Development of Evacuation Route Planning Algorithm for Responding to Urban Forest Fires

The Gangwon region (Korea) is severely affected by forest fires, where approximately sixty-six wildfires have occurred over the last three years, which in turn have damaged 1299 ha of this region. Hence, it is necessary to develop schemes for reducing the damage caused by forest fires in Gangwon. In this study, we developed an algorithm for planning evacuation routes. The developed algorithm was applied to a virtual scenario for determining evacuation start points within the spread range of wildfires, fifteen evacuation routes were then determined for each start point, and the associated distance information was displayed. Furthermore, by employing the Naver Maps software, the obtained evacuation routes was compared and analyzed with respect to the route distance. We believe that the results obtained from this study can be used as basic data for making decisions to identify various evacuation routes.

Simulation-Based and Risk-Informed Assessment of the Effectiveness of Tsunami Evacuation Routes Using Agent-Based Modeling: A Case Study of Seaside, Oregon

Typically, tsunami evacuation routes are marked using signs in the transportation network and the evacuation map is made to educate people on how to follow the evacuation route. However, tsunami evacuation routes are usually identified without the support of evacuation simulation, and the route effectiveness in the reduction of evacuation risk is typically unknown quantitatively. This study proposes a simulation-based and risk-informed framework for quantitative evaluation of the effectiveness of evacuation routes in reducing evacuation risk. An agent-based model is used to simulate the tsunami evacuation, which is then used in a simulation-based risk assessment framework to evaluate the evacuation risk. The route effectiveness in reducing the evacuation risk is evaluated by investigating how the evacuation risk varies with the proportion of the evacuees that use the evacuation route. The impacts of critical risk factors such as evacuation mode (for example, on foot or by car) and population size and distribution on the route effectiveness are also investigated. The evacuation risks under different cases are efficiently calculated using the augmented sample-based approach. The proposed approach is applied to the risk-informed evaluation of the route effectiveness for tsunami evacuation in Seaside, Oregon. The evaluation results show that the route usage is overall effective in reducing the evacuation risk in the study area. The results can be used for evacuation preparedness education and hence effective evacuation.

Evaluation of the Dimensions of the Tsunami Evacuation Path for the Community of Air Tawar Barat Village, North Padang District, Padang City, Based on Geographic Information System (GIS)

Air Tawar Barat Village is located in North Padang District, Padang City which is directly adjacent to the Indian Ocean in the west, so there is a risk of a tsunami disaster. The current evacuation route, which is one of the efforts to overcome the tsunami disaster, seems to be still ineffective to use because the distance that must be covered is 3-5 km in less than 30 minutes. This study aims to determine the direction of an effective evacuation route and then make a comparison with the evacuation route that has been determined by the Government. The method used is Network Analyst. The results of this study obtained 3 alternatives to make evacuation more effective. The alternative is to make access roads around Jalan Gajah to go to P-TES in the UNP area. Alternative 2 is to make P-TES in the parking lot of the Air Tawar Health Center so that people around the river mouth can evacuate faster because they are closer. Alternative 3, the community around the North Padang Police Sector can evacuate by heading to P-TES on Jalan Polonia, Air Tawar Timur Village to stay away from the beach. The three alternatives make the evacuation time to 10 minutes by heading to 26 P-TES. In addition, the evacuation map as a result of the analysis is more effective because the route has a route that is more likely to be taken by the community compared to the government evacuation map.

A novel evacuation path planning method based on improved genetic algorithm

In order to solve the problem of finding the best evacuation route quickly and effectively, in the event of an accident, a novel evacuation route planning method is proposed based on Genetic Algorithm and Simulated Annealing algorithm in this paper. On the one hand, the simulated annealing algorithm is introduced and a simulated annealing genetic algorithm is proposed, which can effectively avoid the problem of the search process falling into the local optimal solution. On the other hand, an adaptive genetic operator is designed to achieve the purpose of maintaining population diversity. The adaptive genetic operator includes an adaptive crossover probability operator and an adaptive mutation probability operator. Finally, the path planning simulation verification is carried out for the genetic algorithm and the improved genetic algorithm. The simulation results show that the improved method has greatly improved the path planning distance and time compared with the traditional genetic algorithm.

Analysis of Disaster Mitigation in Carita with Environmental Learning in Elementary School

This study analyzes the profile of Carita people in the efforts of tsunami disaster mitigation and the role of environmental learning in coping with the disaster, then analyzes the use of environmental learning. The method used is a mixed method of qualitative and quantitative methods. The quantitative method measures various community readiness levels in performing disaster mitigation, whereas the qualitative method is utilized to obtain various further information from the communities using interview technique. There were 88 randomly selected respondents participating in this research. The study results indicate a low land utilization density (below 33%). Indicators suggest a good category, namely: people evacuate when a disaster occurs (86%), rescue during a disaster (96.59%), and try to find new livelihoods (82.95%). In addition, public knowledge of disaster evacuation route is at a good level (87.50%) and there is an increase of 39.77% respondents with improved knowledge after the tsunami disaster occurred. Environmental learning, in this case, plays an important role to provide information to the public relating the efforts in disaster mitigation. The conclusion is that community’s disaster mitigation readiness still requires some improvement through various efforts, one of them is environmental learning with learning media in elementary school.

Study of Flood Disaster Mitigation Analysis for Transportation Routes in Panakukkang District, Makassar City

This study conducted an analysis study of flood disaster mitigation for transportation routes in the Panakukkang district of Makassar City. By using ArcGis software, the results of the simulation of safe and vulnerable zone levels based on color indicators are known. There are 5 villages in Panakukkang District which are flood safe zones, with the number of evacuation sites, namely 21 buildings. Then there are 4 villages which are flood alert zones with 2 evacuation sites, 2 buildings. On the first evacuation route there are 8 reference points namely Reference Point C with the distance to the nearest evacuation site 3.22 km and a travel time of 64.3 minutes. Then the reference point A with a distance to the nearest evacuation site is 2.85 km and a travel time of 57 minutes. While the reference point F is the closest point to the nearest evacuation distance 0.71 km and the travel time is 14.2 minutes. All these reference points require travel speeds of 3 km / h on foot. On the second evacuation route there are 6 Reference Points namely reference point A with distance to the nearest evacuation point 1.94 km and travel time 38.8 minutes, reference point E with distance to nearest evacuation location 1.23 km and travel time 24.6 minutes. Then at the reference point C is the closest point to the nearest evacuation distance 0.72 km and the travel time is 14.4 minutes.

Application of the clarke-wright algorithm in determining tsunami disaster evacuation route in Purworejo district

The potentials for tsunami in Indonesia are spread over many areas, one of which is Purworejo. Purworejo has a high tsunami potential because it is located on the Indo-Australian plate. In Central Java, Purworejo occupies the 3rd position in the tsunami-prone area. Therefore, a route is needed to evacuate the population to mitigate the tsunami. This research focuses on two sub-districts, namely Ngombol and Purwodadi. The problems in this paper are: (1) Which points can be used as evacuation sites (2) How to model tsunami evacuation routes with graphs (3) What are the optimal evacuation routes. The method used to find the evacuation route is the VRP with time window. The algorithm used is Clarke Wright algorithm. The optimal evacuation route is obtained if all points are evacuated with minimal time and distance. From nine final evacuation points, only 4 points that fulfill criteria for the shortest distance and can be accessed by vehicles. There are eight final routes with minimum time of 42 minutes. Each of depots B3 and C2 has 3 routes. Whereas each of depots C4 and C5 has 1 route.