scholarly journals Residential building stock modelling for mainland China targeted for seismic risk assessment

2021 ◽  
Vol 21 (10) ◽  
pp. 3031-3056
Author(s):  
Danhua Xin ◽  
James Edward Daniell ◽  
Hing-Ho Tsang ◽  
Friedemann Wenzel
Keyword(s):  
Risk Assessment ◽  
High Resolution ◽  
Seismic Risk ◽  
Residential Buildings ◽  
Mainland China ◽  
Residential Building ◽  
Exposure Model ◽  
Building Stock ◽  
Seismic Risk Assessment ◽  
Residential Building Stock

Abstract. To enhance the estimation accuracy of economic loss and casualty in seismic risk assessment, a high-resolution building exposure model is necessary. Previous studies in developing global and regional building exposure models usually use coarse administrative-level (e.g. country or sub-country level) census data as model inputs, which cannot fully reflect the spatial heterogeneity of buildings in large countries like China. To develop a high-resolution residential building stock model for mainland China, this paper uses finer urbanity-level population and building-related statistics extracted from the records in the tabulation of the 2010 population census of the People's Republic of China (hereafter abbreviated as the “2010 census”). In the 2010 census records, for each province, the building-related statistics are categorized into three urbanity levels (urban, township, and rural). To disaggregate these statistics into high-resolution grid level, we need to determine the urbanity attributes of grids within each province. For this purpose, the geo-coded population density profile (with 1 km × 1 km resolution) developed in the 2015 Global Human Settlement Layer (GSHL) project is selected. Then for each province, the grids are assigned with urban, township, or rural attributes according to the population density in the 2015 GHSL profile. Next, the urbanity-level building-related statistics can be disaggregated into grids, and the 2015 GHSL population in each grid is used as the disaggregation weight. Based on the four structure types (steel and reinforced concrete, mixed, brick and wood, other) and five storey classes (1, 2–3, 4–6, 7–9, ≥10) of residential buildings classified in the 2010 census records, we reclassify the residential buildings into 17 building subtypes attached with both structure type and storey class and estimate their unit construction prices. Finally, we develop a geo-coded 1 km × 1 km resolution residential building exposure model for 31 provinces of mainland China. In each 1 km × 1 km grid, the floor areas of the 17 residential building subtypes and their replacement values are estimated. The model performance is evaluated to be satisfactory, and its practicability in seismic risk assessment is also confirmed. Limitations of the proposed model and directions for future improvement are discussed. The whole modelling process presented in this paper is fully reproducible, and all the modelled results are publicly accessible.

scholarly journals Residential building stock modeling for mainland China targeted for seismic risk assessment

2021 ◽  
Author(s):  
Danhua Xin ◽  
James Edward Daniell ◽  
Hing-Ho Tsang ◽  
Friedemann Wenzel
Keyword(s):  
Risk Assessment ◽  
High Resolution ◽  
Seismic Risk ◽  
Residential Buildings ◽  
Mainland China ◽  
Residential Building ◽  
Exposure Model ◽  
Building Stock ◽  
Seismic Risk Assessment ◽  
Residential Building Stock

Abstract. Previous seismic damage reports have shown that the damage and collapse of buildings is the leading cause of fatality and property loss. To enhance the estimation accuracy of economic loss and fatality in seismic risk assessment, a high-resolution building exposure model is important. Previous studies in developing global and regional building exposure models usually use coarse administrative level (e.g., county, or sub-country level) census data as model inputs, which cannot fully reflect the spatial heterogeneity of buildings in large countries like China. To develop a high-resolution residential building stock model for mainland China, this paper uses finer urbanity level population and building-related statistics extracted from the records in Tabulation of the 2010 Population Census of the People’s Republic of China (hereafter abbreviated as the “2010-census”). In the 2010-census records, for each province, the building-related statistics are categorized into three urbanity levels (urban, township, and rural). Statistics of each urbanity level are from areas with a similar development background but belong to different administrative prefectures and counties. Due to privacy protection-related issues, these urbanity level statistics are not geo-coded. Therefore, before disaggregating these statistics into high-resolution grid level, we need to determine the urbanity attributes of grids within each province. For this purpose, the geo-coded population density profile (with 1 km × 1 km resolution) developed in the 2015 Global Human Settlement Layer (GSHL) project is selected to divide the 31 provinces of mainland China into 1 km × 1 km grids. Then for each province, the grids are assigned with urban/township/rural attributes according to the population density in the 2015 GHSL profile. Next for each urbanity of each province, the urbanity level building-related statistics extracted from the 2010-census records can be disaggregated into the 2015 GHSL geo-coded grids, and the 2015 GHSL population in each grid is used as the disaggregation weight. Based on the four structure types (steel/reinforced-concrete, mixed, brick/wood, other) and five storey classes (1, 2–3, 4–6, 7–9, ≥ 10) of residential buildings classified in the 2010-census records, we reclassify the residential buildings into 17 building subtypes attached with both structure type and storey class and estimate their unit construction prices. Finally, we develop a geo-coded 1 km × 1 km resolution residential building exposure model for 31 provinces of mainland China. In each 1 km × 1 km grid, the floor areas of the 17 residential building subtypes and their replacement values are estimated. To evaluate the model performance, comparisons with the wealth capital stock values estimated in previous studies at the administrative prefecture-level and with the residential floor area statistics in the 2010-census at the administrative county/prefecture-level are conducted. The practicability of the modeled results in seismic risk assessment is also checked by estimating the seismic loss of residential buildings in Sichuan Province combined with the intensity map of the 2008 Wenchuan Ms8.0 earthquake and an empirical loss function developed from historical seismic damage information in China. Our estimated seismic loss range is close to that derived from field investigation reports. Limitations of this paper and future improvement directions are discussed. More importantly, the whole modeling process of this paper is fully reproducible, and all the modeled results are publicly accessible. Given that the building stock in China is changing rapidly, the results can be conveniently updated when new datasets are available.

Seismic risk assessment for the residential buildings of the major three cities in Colombia: Bogotá, Medellín, and Cali

2020 ◽  
Vol 36 (1_suppl) ◽  
pp. 298-320
Author(s):  
Ana Beatriz Acevedo ◽  
Catalina Yepes-Estrada ◽  
Daniela González ◽  
Vitor Silva ◽  
Miguel Mora ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Residential Buildings ◽  
Residential Building ◽  
Exceedance Probability ◽  
Building Stock ◽  
Seismic Risk Assessment ◽  
Earthquake Scenarios ◽  
Residential Building Stock ◽  
Aggregate Loss

This study presents a seismic risk assessment and a set of earthquake scenarios for the residential building stock of the three largest metropolitan centers of Colombia: Bogotá, Medellín and Cali (with 8.0, 2.5, and 2.4 million inhabitants, respectively). A uniform methodology was followed for the development of the seismic hazard, vulnerability, and exposure models, thus allowing a direct comparison between the seismic risk of the different cities. Risk metrics such as exceedance probability curves and average annual losses were computed for each city. The earthquake scenarios were selected considering events whose direct economic impact is similar to the aggregated loss for a probability of exceedance of 10% in 50 years. Results show a higher mean aggregate loss ratio for Cali and similar mean aggregate loss ratios for Bogotá and Medellín. All of the models used in this study are openly accessible, enabling risk modelers, engineers, and stakeholders to explore them for disaster risk management.

scholarly journals Residential building stock modelling for mainland China

2020 ◽  
Author(s):  
Danhua Xin ◽  
James Edward Daniell ◽  
Hing-Ho Tsang ◽  
Friedemann Wenzel
Keyword(s):  
Census Data ◽  
Residential Buildings ◽  
Mainland China ◽  
Residential Building ◽  
Field Investigation ◽  
Building Stock ◽  
Floor Area ◽  
Stock Value ◽  
Residential Building Stock ◽  
Stock Model

Abstract. Previous seismic damage reports have shown that the damage and collapse of buildings is the leading cause of fatality and property loss, especially in developing countries. To better serve the risk analysis targeted at near-real-time post-earthquake mitigation and pre-earthquake preparedness and resources allocation, this study develops a fully reproducible grid-level residential building stock model for mainland China, by disaggregating urbanity level census data of each province into 1 km × 1 km scale and using population density profile as the proxy. To evaluate the model performance, the modelled residential building stock value is compared with the net capital stock value in Wu et al. (2014) using perpetual inventory method at provincial level. The modelled stock values in these two studies are in good agreement for all the 31 provinces in mainland China. Furthermore, district level comparison of the residential floor area developed in this study with records from statistical yearbook of Shanghai is also conducted. It turns out that the floor area developed in this study is compatible with floor area recorded in the yearbook of Shanghai. To further validate the applicability of the modelled results in seismic risk assessment, an estimation of the scenario loss to modelled residential buildings is performed, by assuming the recurrence of 2008 Wenchuan M8.0 earthquake. The overall estimated loss approximates the loss value derived from damage reports based on field investigation quite well. Both results indicate the reliability of the residential building stock model developed in this study. The limitations of this study are discussed and directions for future work are recommended.

scholarly journals TOPOI RESOURCES: Quantification and Assessment of Global Warming Potential and Land-Uptake of Residential Buildings in Settlement Types along the Urban–Rural Gradient—Opportunities for Sustainable Development

2021 ◽  
Vol 13 (8) ◽  
pp. 4099
Author(s):  
Ann-Kristin Mühlbach ◽  
Olaf Mumm ◽  
Ryan Zeringue ◽  
Oskars Redbergs ◽  
Elisabeth Endres ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Global Warming ◽  
Energy Consumption ◽  
Global Warming Potential ◽  
Residential Buildings ◽  
Residential Building ◽  
Negative Effects ◽  
Building Stock ◽  
Residential Building Stock ◽  
Urban Rural

The METAPOLIS as the polycentric network of urban–rural settlement is undergoing constant transformation and urbanization processes. In particular, the associated imbalance of the shrinkage and growth of different settlement types in relative geographical proximity causes negative effects, such as urban sprawl and the divergence of urban–rural lifestyles with their related resource, land and energy consumption. Implicitly related to these developments, national and global sustainable development goals for the building sector lead to the question of how a region can be assessed without detailed research and surveys to identify critical areas with high potential for sustainable development. In this study, the TOPOI method is used. It classifies settlement units and their interconnections along the urban–rural gradient, in order to quantify and assess the land-uptake and global warming potential driven by residential developments. Applying standard planning parameters in combination with key data from a comprehensive life cycle assessment of the residential building stock, a detailed understanding of different settlement types and their associated resource and energy consumption is achieved.

Socioeconomic Clustering in Seismic Risk Assessment of Urban Housing Stock

2009 ◽  
Vol 25 (3) ◽  
pp. 619-641 ◽  
Author(s):  
J. S.R. Prasad ◽  
Yogendra Singh ◽  
Amir M. Kaynia ◽  
Conrad Lindholm
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Model Building ◽  
Housing Stock ◽  
Indian Subcontinent ◽  
Sample Survey ◽  
Economic Losses ◽  
Urban Habitat ◽  
Building Stock ◽  
Seismic Risk Assessment

A seismic risk assessment methodology based on socioeconomic clustering of urban habitat is presented in this paper. In this methodology, the city is divided into different housing clusters based on socioeconomic level of occupants, representing reasonably uniform seismic risk. It makes an efficient utilization of high resolution satellite data and stratified random sample survey to develop the building stock database. Ten different classes of socioeconomic clusters found in Indian cities are defined and 34 model building types (MBTs) prevalent on the Indian subcontinent have been identified and compared with the Medvedev-Sponheuer-Karnik (MSK) scale, European macroseismic scale (EMS), parameterless scale of seismic intensity (PSI), and HAZUS classifications. Lower and upper bound damage probability matrices (DPMs) are estimated, based on the MSK and EMS intensity scales and experience from past earthquakes in India. A case study of Dehradun, a city in the foothills of Himalayas, is presented. The risk estimates using the estimated DPMs have been compared with those obtained using the PSI scale. It has been observed that poorer people are subjected to higher seismic risk, both in terms of casualties and in terms of percent economic losses.

Seismic Risk Assessment of Nonengineered Residential Buildings: State of the Practice

2015 ◽  
Vol 16 (3) ◽  
pp. 04014027 ◽  
Author(s):  
Miqdad Khalfan ◽  
Michael J. Tait ◽  
Wael W. El-Dakhakhni
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Residential Buildings ◽  
Seismic Risk Assessment

Modeling the Residential Building Inventory in South America for Seismic Risk Assessment

2017 ◽  
Vol 33 (1) ◽  
pp. 299-322 ◽  
Author(s):  
Catalina Yepes-Estrada ◽  
Vitor Silva ◽  
Jairo Valcárcel ◽  
Ana Beatriz Acevedo ◽  
Nicola Tarque ◽  
...  
Keyword(s):  
Risk Assessment ◽  
South America ◽  
Structural Characteristics ◽  
Construction Materials ◽  
Residential Building ◽  
Exposure Model ◽  
Earthquake Risk ◽  
Building Stock ◽  
Building Inventory ◽  
Andean Countries

This study presents an open and transparent exposure model for the residential building stock in South America. This model captures the geographical distribution, structural characteristics (including information about construction materials, lateral load resisting system, range of number of stories), average built-up area, replacement cost, expected number of occupants, and number of dwellings and buildings. The methodology utilized to develop this model was based on national population and housing statistics and expert judgment from dozens of local researchers and practitioners. This model has been developed as part of the South America Risk Assessment (SARA) project led by the Global Earthquake Model (GEM), and it can be used to perform earthquake risk analyses. It is available at different geographical scales for seven Andean countries: Argentina, Bolivia, Chile, Colombia, Ecuador, Peru, and Venezuela (DOI: 10.13117/GEM. DATASET.EXP.ANDEAN-v1.0).

scholarly journals PREFABRICATED TIMBER PANELS APPLICATION POSSIBILITIES FOR THE ENERGY REFURBISHMENT OF RESIDENTIAL BUILDINGS ENVELOPE IN BOSNIA-HERZEGOVINA AND SLOVENIA

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Darija Gajić ◽  
Anna Sandak ◽  
Slobodan Peulić ◽  
Črtomir Tavzes ◽  
Tim Mavrič
Keyword(s):  
European Union ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Envelope ◽  
Hvac System ◽  
The European Union ◽  
Renewable Materials ◽  
Building Stock ◽  
Existing Building ◽  
Residential Building Stock

System of prefabricated modules installed on the existing building envelope is one alternativesolution for deep energy refurbishment of buildings in the European Union. It allows thermalupgrade installation of new parts in the HVAC system. Moreover, some elements of the envelopecan be made of renewable materials. This research compares the residential building stock andidentifies potential types of buildings for energy refurbishment in Bosnia and Herzegovina andSlovenia. It presents refurbishment possibilities of existing residential building stock in bothcountries with prefabricated timber panels. It also presents potential obstacles to the widerapplication of this refurbishment solution.

Sign in / Sign up

Export Citation Format

Share Document