USE OF BIG DATA NIGHTTIME LIGHT SATELLITE IMAGERY AND POPULAR TIMES AS INFORMATION ON THE DISTRIBUTION OF PEOPLE AT RISK FOR EMERGENCY RESPONSE STRATEGIES DURING EARTHQUAKE & FLOOD DISASTERS IN BANDUNG CITY & CIMAHI CITY
The phenomenon of natural disasters knows no time so it can occur during the day or night. Disasters occurring at night pose a higher threat to life safety than during the day. The use of big data at night satellite imagery and POI Google Maps has a role in reducing the impact of disasters by see...
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| Format: | Theses |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/83353 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The phenomenon of natural disasters knows no time so it can occur during the day or night.
Disasters occurring at night pose a higher threat to life safety than during the day. The use
of big data at night satellite imagery and POI Google Maps has a role in reducing the impact
of disasters by seeing people at risk at night. The light distribution describes the distribution
of the risk population during night conditions. Light intensity informs the population
density at risk during night conditions. This research aims to create an emergency response
strategy when a disaster occurs at night by utilizing big data from night satellite imagery
and POI Google Maps to see the people at risk at night. The case studies taken are the City
of Bandung and the City of Cimahi, where both cities are threatened by earthquakes and
floods with large populations. This research uses a quantitative approach with spatial
analysis via ArcMap, Qgis, and Google Earth. In formulating strategies using SWOT
analysis. The research results show that from 2023 to 2040 the population at risk of
earthquakes will increase by 70.5% in Bandung City and 57% in Cimahi City. Then the
population increase at risk of flooding is 15.7% in Bandung City and 14.5 in Cimahi City.
Meanwhile, at-risk populations in mall buildings and stations experience peak visits on
weekend nights. Furthermore, at-risk populations on roads and parks experienced relatively
normal visitation. Based on the results of the SWOT analysis, there are 16 strategies for
optimizing the emergency response handling process when a disaster occurs at night. Apart
from that, facilities related to search and rescue, location of refugee posts, situation
reporting coordination post, command post and press conferences, location of main
logistics post, location of supporting logistics post units, and backup energi sources for
night lighting are important parts in the response handling process emergency so that it can
occur quickly and precisely |
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