Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Spatio-temporal dynamics in seismic exposure of Asian megacities

Past, present and future

Bibliographic Data

ID15544320
AuthorsGizem Mestav Sarica (0000-0003-3239-2718, Nanyang Technological University, corresponding author), Tinger Zhu (0000-0003-4165-9146, Nanyang Technological University), Tso‐Chien Pan (0000-0003-4180-4104, Nanyang Technological University)
Year2020
Volume15
Issue9
Pages094092-094092
Publication date2020-08-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ababc7
OpenAlexW3047243584
LanguageEN
Citations received3
References cited32

The estimation of urban growth in megacities is a critical and intricate task for researchers and decision-makers owing to the complexity of these urban systems. Currently, the majority of megacities are located in Asia which is one of the most disaster-prone regions in the world. The high concentrations of people, infrastructure and assets in megacities create high loss potentials for natural hazards; therefore, the forecasting of exposure metrics such as built-up area is crucial for disaster risk assessment. This study aims to identify and project the dynamics of built-up area at risk using a spatio-temporal approach considering seismic hazard in three Asian megacities, namely Jakarta, Metro Manila and Istanbul. First, Landsat Thematic Mapper images were processed to obtain the built-up areas of 1995 and 2016 for Metro Manila, and of 1995 and 2018 for Jakarta and Istanbul. The SLEUTH urban growth model, a cellular automaton (CA)-based spatial model that simulates urban growth using historical geospatial data, was then employed to predict the urban growth of these megacities by 2030. Finally, seismic hazard maps obtained for 10% and 2% probabilities of exceedance were overlaid with built-up area maps. For a seismic hazard of 10% probability of exceedance in 50 years, the total urban area subjected to Modified Mercalli intensities (MMI) VIII and IX has increased nearly 65% over 35 years in Metro Manila. For Jakarta and Istanbul, the total urban area at the MMI VIII level has increased nearly 79% and 54% over 35 years, respectively. For a seismic hazard of 2% probability of exceedance in 50 years, the total urban area subjected to MMI IX has increased nearly 75%, 65% and 49% over 35 years in Jakarta, Metro Manila and Istanbul, respectively. The results show that urban growth modelling can be utilized to assess the built-up area exposed to high risk as well as to plan urban growth considering natural hazards in megacities

Built-up area · Cartography · Civil engineering · Economy · Geography · Geospatial analysis · Hazard · Land use · Megacity · Mercalli intensity scale · Meteorology · Metropolitan area · Natural hazard · Satellite imagery · Seismic hazard · Seismology · Thematic Mapper · Urban area · Engineering · Flood Risk Assessment and Management · Land Use and Ecosystem Services · Tropical and Extratropical Cyclones Research · Geology

  • Navigating Immovable Assets

    Open Access•Muhammad Syafiq, Suhaibah Azri et al.•ISPRS International Journal of…•2024

  • Spatio-temporal dynamics of flood exposure in Shenzhen from present to future

    Open Access•Gizem Mestav Sarica, Tinger Zhu et al.•Environment and Planning B Urban…•2021

  • Urban growth modeling for the assessment of future climate and disaster risks

    Open Access•Andrea Reimuth, Michael Hagenlocher et al.•Environmental Research Letters•2023

  • Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal

    Open Access•Elisabete A Silva, Keith C Clarke•Computers Environment and Urban…•2002

  • Evidence for sharp increase in the economic damages of extreme natural disasters

    Open Access•Matteo Coronese, Francesco Lamperti et al.•Proceedings of the National…•2019

  • Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA

    Open Access•R Gil Pontius, Laura C Schneider et al.•Agriculture, Ecosystems &…•2001

  • Built-up area and population density

    Open Access•Daniele Ehrlich, Thomas Kemper et al.•Environmental Science & Policy•2018

  • The population in China’s earthquake-prone areas has increased by over 32 million along with rapid urbanization

    Open Access•Chunyang He, Qingxu Huang et al.•Environmental Research Letters•2016

  • How did the urban land in floodplains distribute and expand in China from 1992–2015

    Open Access•Shiqiang Du, Chunyang He et al.•Environmental Research Letters•2018

  • Spatiotemporal changes in both asset value and GDP associated with seismic exposure in China in the context of rapid economic growth from 1990 to 2010

    Open Access•Jidong Wu, Cailin Wang et al.•Environmental Research Letters•2017

  • Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States

    Open Access•Yiping Wu, Shuguang Liu et al.•Environmental Research Letters•2013

  • Futures of global urban expansion

    Open Access•Burak Güneralp, Karen C Seto•Environmental Research Letters•2013

  • Projecting global urban land expansion and heat island intensification through 2050

    Open Access•Kangning Huang, Xia Li et al.•Environmental Research Letters•2019

  • Rapid Population Growth in Chinese Floodplains from 1990 to 2015

    Open Access•Yongqiang Fang, Shiqiang Du et al.•International Journal of…•2018

  • Rapid Population Growth throughout Asia’s Earthquake-Prone Areas

    Open Access•Yinyin Dou, Qingxu Huang et al.•International Journal of…•2018

  • A Method of Measuring Shape

    Open Access•David R Lee, G Thomas Sallee•Geographical Review•1970

Unique citing works3
Citations per year0,6
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae