Spatial dynamics model of built-up area growth and mean sea level rise projection. Case study: Bandar Lampung city, Indonesia

Dewi Susiloningtyas, Della A. Lestari, La Ode A. Minsaris, Muchamad Hartanto, Budiman Sakti, Taufiq E. Ahmad, Dhea R. Azhari, Amien Rais

Research output: Contribution to journalArticlepeer-review

Abstract

The city of Bandar Lampung has a significant population growth, resulting in continuous expansion of built-up areas. This situation parallels the threat of mean sea level rise along the coast of Bandar Lampung. This study aims to project the development of built-up areas and the rise in sea level. The projection of built-up area growth is conducted through dynamic spatial modeling form data 2010-2020, while mean sea level rise forecasting is done using long short-term memory (LSTM) form data 2002-2022 to project the years 2024, 2029, 2035, 2041, 2048, and 2059. The research findings indicate that by the year 2059, the projected population growth is 4114190 people. Consequently, 90% (16543.44 hectares) of the total area will be converted into a built-up area. Bandar Lampung will face a mean sea level rise of 107 cm in 2059, which will have a significant impact, submerging a coastal area of 116.13 hectares out of the total area of Bandar Lampung City.

Original languageEnglish
Pages (from-to)2591-2608
Number of pages18
JournalAACL Bioflux
Volume17
Issue number6
Publication statusPublished - 30 Dec 2024

Keywords

  • built-up area
  • inundation
  • long short-term memory analysis
  • mean sea level rise
  • spatial dynamic

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