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Residential living space per Mahalle in square kilometer. Comparison between Taubenböck (2008) and Kubanek (2010)
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Over the last decades, the rapid growth of the world population has led to a large number of emerging megacities. The 1999 Izmit (Turkey) earthquake is a striking example of the impact of natural hazards on megacities. On August 17 1999, a magnitude 7.6 earthquake struck the area of Izmit in Turkey, causing about 20.000 fatalities and US$6.5 billio...
Citations
... Additional knowledge on population dynamics, as in Freire and Aubrecht (2012) might, be beneficial for a more detailed study. Optionally, remote sensing has shown advantages in assessing the urban fabric and population distribution in larger agglomerations (e.g., Aubrecht et al., 2013;Kubanek et al., 2010;Taubenböck, 2008). Some key numbers and characteristics of the data used in this exemplary case study can be found in Table 3. ...
In an emergency situation shelter space is crucial for people affected by
natural hazards. Emergency planners in disaster relief and mass care can
greatly benefit from a sound methodology that identifies suitable shelter
areas and sites where shelter services need to be improved. A methodology to
rank suitability of open spaces for contingency planning and placement of
shelter in the immediate aftermath of a disaster is introduced. The Open
Space Suitability Index uses the combination of two different
measures: a qualitative evaluation criterion for the suitability and
manageability of open spaces to be used as shelter sites and another
quantitative criterion using a capacitated accessibility analysis based on
network analysis. For the qualitative assessment implementation issues,
environmental considerations and basic utility supply are the main
categories to rank candidate shelter sites. A geographic information
system is used to reveal spatial patterns of shelter demand.
Advantages and limitations of this method are discussed on the basis of an
earthquake hazard case study in the Kathmandu Metropolitan City. According
to the results, out of 410 open spaces under investigation, 12.2% have
to be considered not suitable (Category D and E) while 10.7% are
Category A and 17.6% are Category B. Almost two-thirds (59.55%) are
fairly suitable (Category C).
... Additional knowledge on population dynamics, as in Freire and Aubrecht (2012) might, be beneficial for a more detailed study. Optionally, remote sensing has shown advantages in assessing the urban fabric and population distribution in larger agglomerations (e.g., Aubrecht et al., 2013;Kubanek et al., 2010;Taubenböck, 2008). Some key numbers and characteristics of the data used in this exemplary case study can be found in Table 3. ...
In an emergency situation shelter space is crucial for people affected by natural hazards. Emergency planners in disaster relief and mass care can greatly benefit from a sound methodology that identifies suitable shelter areas and sites where shelter services need to be improved. A methodology to rank suitability of open spaces for contingency planning and placement of shelter in the immediate aftermath of a disaster is introduced. The Open Space Suitability Index (OSSI) uses the combination of two different measures: a qualitative evaluation criterion for the suitability and manageability of open spaces to be used as shelter sites, and a second quantitative criterion using a capacitated accessibility analysis based on network analysis. For the qualitative assessment, implementation issues, environmental considerations, and basic utility supply are the main categories to rank candidate shelter sites. Geographic Information System (GIS) is used to reveal spatial patterns of shelter demand. Advantages and limitations of this method are discussed on the basis of a case study in Kathmandu Metropolitan City (KMC). According to the results, out of 410 open spaces under investigation, 12.2% have to be considered not suitable (Category D and E) while 10.7% are Category A and 17.6% are Category B. Almost two third (59.5%) are fairly suitable (Category C).
... For identifying the suitability of the remote sensing data for inventory generation and so for population modeling, a GIS-based data set of the up-to-date single building inventory of Zeytinburnu is manually developed. The data set is clipped to the same administrative boundaries for comparison purposes (Kubanek 2011;Kubanek et al. 2010). In order to obtain a comprehensive dataset of all buildings, different data sources are used. ...
In the past few decades, devastating earthquakes have caused high social and economic losses in cities. Earthquakes cannot be avoided, but the devastating impacts, especially fatalities, can be minimized through pre-event emergency response planning and preparedness. The development of emergency plans strongly relies on up-to-date population and inventory data. However, existing techniques for population data generation do not meet the requirements of many of today’s dynamic cities. In this context, the importance of remote sensing as a cutting-edge technology for data acquisition in urban areas is increasing. The present study analyzes the capacities and limitations of high resolution optical satellite imagery (IKONOS) for modeling population distribution in the district of Zeytinburnu in Istanbul, Turkey. The results show remote sensing to be an independent, up-to-date and area-wide data source. The use of remote sensing facilitates a mechanism to provide necessary quantitative information on urban morphology and population distribution in a fast and accurate way. The generated data do not have the quality of cadastral data sets but they meet the requirements of identifying bottlenecks, highly risky zones, etc. and can serve as a base for decision making.
New possibilities for spatial analysis and modelling of spatial, health-related processes are emerging from the enormous advances in the areas of geographic information science (GIS), global positioning system (GPS), remote sensing and computer-aided cartography, but also in geostatistical processes such as spatial distribution and trend analyses, Multi-level analyses, “spatial data mining” or agent-based modelling. These methods are increasingly being used in epidemiology, public health, and health services research. The rediscovery of the spatial in many sciences has been known for some time as the “spatial turn”, esp. in health science. In the cultural and social sciences, a “spatial turn” is a paradigm shift that also perceives geographical space as a socially and culturally effective variable. This conception of space understands space not only as an empty area, but also as the result of social processes. The “spatial turn” as a paradigm shift is not limited to the fact that the space itself becomes the subject of advanced research methods. Rather, it is about approaching research objects in public health with spatial categories.KeywordsGISRemote sensingGPSPublic health
This paper presented a method allowing the estimation of the population at the local scale from the data resulting from the interpretation of the satellite images. The aim was to estimate the number of inhabitants in each habitable area for the year 2017. This estimate is based on the data census of 2010 and the interpretation of images gathered by the satellite SPOT in 2010 covering Jeddah city. A relationship was established between housing areas and the number of inhabitants using correlation techniques based on ordinary least square method. The obtained equation was applied to the data obtained by visual interpretation of the Quickbird images gathered in 2017 covering the study area, thus making it possible to estimate the population of the city on this date.KeywordsPopulation estimationRemote sensingAreal interpolationGISCorrelationOLS
