Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light data
Analyzing the spatiotemporal dimension of the economic impacts of disasters is critical for providing timely and proportionate support. However, traditional economic impact measures often lack spatiotemporal details. Hence, we estimated the daily electricity consumption (EC) loss using high-frequenc...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2024.2445626 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841560745125347328 |
|---|---|
| author | Ma. Flordeliza P. Del Castillo Toshio Fujimi Hirokazu Tatano |
| author_facet | Ma. Flordeliza P. Del Castillo Toshio Fujimi Hirokazu Tatano |
| author_sort | Ma. Flordeliza P. Del Castillo |
| collection | DOAJ |
| description | Analyzing the spatiotemporal dimension of the economic impacts of disasters is critical for providing timely and proportionate support. However, traditional economic impact measures often lack spatiotemporal details. Hence, we estimated the daily electricity consumption (EC) loss using high-frequency EC data and analyzed temporal dimensions of the immediate impacts of Taal Volcano’s eruption on January 12, 2020. Subsequently, we computed the nighttime light (NTL) change using high-resolution NTL data to analyze the spatial distribution of these impacts. The temporal analysis revealed two EC loss peaks. The first peak coincided with the power outage and decreased energy demand, followed by a brief recovery after power restoration. The second peak emerged upon the influx of the affected population, evacuees, earthquake occurrences, and road closures. Major assistance distribution spurred recovery towards the end of the analysis period. The spatial analysis showed significant NTL reductions where ashfall intersected built-up areas. The municipalities with the worst NTL reduction included Talisay, Laurel, Santa Teresita, Agoncillo, Lemery, San Nicolas, Taal, and Balete. This study demonstrates an alternative method that uses high-frequency EC to reveal daily temporal fluctuations of immediate non-agricultural economic impacts and map out the areas worst affected by a volcanic eruption. |
| format | Article |
| id | doaj-art-ee0f2a34c7694d069b8ad092256d1211 |
| institution | Kabale University |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-ee0f2a34c7694d069b8ad092256d12112025-01-03T17:30:27ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2024.2445626Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light dataMa. Flordeliza P. Del Castillo0Toshio Fujimi1Hirokazu Tatano2Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, JapanDepartment of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, JapanDepartment of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, JapanAnalyzing the spatiotemporal dimension of the economic impacts of disasters is critical for providing timely and proportionate support. However, traditional economic impact measures often lack spatiotemporal details. Hence, we estimated the daily electricity consumption (EC) loss using high-frequency EC data and analyzed temporal dimensions of the immediate impacts of Taal Volcano’s eruption on January 12, 2020. Subsequently, we computed the nighttime light (NTL) change using high-resolution NTL data to analyze the spatial distribution of these impacts. The temporal analysis revealed two EC loss peaks. The first peak coincided with the power outage and decreased energy demand, followed by a brief recovery after power restoration. The second peak emerged upon the influx of the affected population, evacuees, earthquake occurrences, and road closures. Major assistance distribution spurred recovery towards the end of the analysis period. The spatial analysis showed significant NTL reductions where ashfall intersected built-up areas. The municipalities with the worst NTL reduction included Talisay, Laurel, Santa Teresita, Agoncillo, Lemery, San Nicolas, Taal, and Balete. This study demonstrates an alternative method that uses high-frequency EC to reveal daily temporal fluctuations of immediate non-agricultural economic impacts and map out the areas worst affected by a volcanic eruption.https://www.tandfonline.com/doi/10.1080/19475705.2024.2445626SNPP VIIRS DNBPhilippinesregressionremote sensingdisaster loss and damageTaal Volcano 2020 eruption |
| spellingShingle | Ma. Flordeliza P. Del Castillo Toshio Fujimi Hirokazu Tatano Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light data Geomatics, Natural Hazards & Risk SNPP VIIRS DNB Philippines regression remote sensing disaster loss and damage Taal Volcano 2020 eruption |
| title | Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light data |
| title_full | Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light data |
| title_fullStr | Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light data |
| title_full_unstemmed | Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light data |
| title_short | Spatiotemporal economic impact analysis of the Taal Volcano eruption using electricity consumption and nighttime light data |
| title_sort | spatiotemporal economic impact analysis of the taal volcano eruption using electricity consumption and nighttime light data |
| topic | SNPP VIIRS DNB Philippines regression remote sensing disaster loss and damage Taal Volcano 2020 eruption |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2024.2445626 |
| work_keys_str_mv | AT maflordelizapdelcastillo spatiotemporaleconomicimpactanalysisofthetaalvolcanoeruptionusingelectricityconsumptionandnighttimelightdata AT toshiofujimi spatiotemporaleconomicimpactanalysisofthetaalvolcanoeruptionusingelectricityconsumptionandnighttimelightdata AT hirokazutatano spatiotemporaleconomicimpactanalysisofthetaalvolcanoeruptionusingelectricityconsumptionandnighttimelightdata |