Built-up area and population density: Two Essential Societal Variables to address climate hazard impact

Ehrlich, Daniele; Kemper, Thomas; Pesaresi, Martino; Corbane, Christina

doi:10.1016/j.envsci.2018.10.001

Cited by 54 publications

(35 citation statements)

References 42 publications

(45 reference statements)

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“…Specifically, our work used a vector-based approach for updating the spatial distribution of regular migrant population at local level. With respect to the raster approach developed by JRC [7], our vector-based formulation ensured a faster calculation speed. For density map evaluation, such formulation also allowed us to consider all the subelements disaggregated in each census area.…”

Section: Discussionmentioning

confidence: 99%

“…To our knowledge, the vector-based formulation offered a completely new QGIS plug-in for the dasymetric method. Thus, compared to the JRC raster-based approach [7,8] our implementation is a novel for this field of investigation.…”

Section: Discussionmentioning

confidence: 99%

“…Previous authors worked at European [6][7][8], or global scale [15,33], thus they used the Copernicus validated services (i.e., the European Settlement Map and CLC), which are not yet provided yearly. The chain we used, instead, updates the distribution of regular migrant population and related SDG 11 indicators [16] according to the periodicity required by stakeholders.…”

Section: Discussionmentioning

confidence: 99%

“…Such information can also be extracted from local urban plans, cadastral databases and field surveys. However, the lack of systematic updating of such data may hamper the output service production, as evidenced also in [7].…”

Section: Discussionmentioning

confidence: 99%

“…The purpose of this study is to implement Sustainable Development Goal (SDG) 11 [5] indicators in support of local decision makers and urban planners to develop facilities which may improve living conditions of both resident and migrant populations, and increase social resilience [4]. The spatial distribution of resident population and the settlement layer, i.e., only buildings, were recently considered essential societal variables requested for quantifying SDG 11 indicators [6,7]. To this aim, the study provides the updated settlement map and the spatial distribution (density) of the regular migrant population living in the city of Bari and the neighboring town of Modugno, which are among the areas in Southern Italy that are exposed to such processes.…”

Section: Introductionmentioning

confidence: 99%

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Earth Observation for the Implementation of Sustainable Development Goal 11 Indicators at Local Scale: Monitoring of the Migrant Population Distribution

et al. 2020

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This study focused on implementation of the Sustainable Development Goal (SDG) 11 indicators, at local scale, useful in monitoring urban social resilience. For this purpose, the study focused on updating the distribution map of the migrant population regularly residing in Bari and a neighboring town in Southern Italy. The area is exposed to increasing migration fluxes. The method implemented was based on the integration of Sentinel-2 imagery and updated census information dated 1 January 2019. The study explored a vector-based variant of the dasymetric mapping approach previously used by the Joint Research Center (JRC) within the Data for Integration initiative (D4I). The dasymetric variant implemented can disaggregate data from census areas into a uniform spatial grid by preserving the information complexity of each output grid cell and ensure lower computational costs. The spatial distribution map of regular migrant population obtained, along with other updated ancillary data, were used to quantify, at local level, SDG 11 indicators. In particular, the map of regular migrant population living in inadequate housing (SDG 11.1.1) and the ratio of land consumption rate to regular migrant population growth rate (SDG 11.3.1) were implemented as specific categories of SDG 11 in 2018. At the local level, the regular migrant population density map and the SDG 11 indicator values were provided for each 100 × 100 m cell of an output grid. Obtained for 2018, the spatial distribution map revealed in Bari a high increase of regular migrant population in the same two zones of the city already evidenced in 2011. These zones are located in central parts of the city characterized by urban decay and abandoned buildings. In all remaining city zones, only a slight generalized increase was evidenced. Thus, these findings stress the need for adequate policies to reduce the ongoing process of residential urban segregation. The total of disaggregated values of migrant population evidenced an increase of 44.5% in regular migrant population. The indicators obtained could support urban planners and decision makers not only in the increasing migration pressure management, but also in the local level monitoring of Agenda 2030 progress related to SDG 11.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Earth Observation for the Implementation of Sustainable Development Goal 11 Indicators at Local Scale: Monitoring of the Migrant Population Distribution

et al. 2020

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Regional analysis of the sustainable development of two Mediterranean countries: Spain and Italy

Puertas

Martí

2022

Sustainable Development

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The 17 Sustainable Development Goals (SDGs) require the implementation of 167 targets aimed at eradicating poverty, protecting the planet and improving the quality of life of humankind. The United Nations calls for uniform sustainable development at the global, local and individual levels. This research pursues a twofold objective: first, to obtain evidence on the extent to which the achievement of the (SDGs) may be uniform across territories; second, to identify the socioeconomic characteristics that contribute to sustainable development. The empirical analysis has been carried out using clustering, cross efficiency and contingency tables applied to statistical information from 101 municipalities in Spain and Italy. The results provide evidence of inequalities between territories, revealing that only in the dimensions People (SDGs 1, 2, 3, 4, and 5) and Prosperity (SDGs 7, 8, 9, 10, and 11) has the desired homogeneity been attained. Notable differences are found in the degree of compliance with the other SDGs. Furthermore, it is shown that the socioeconomic characteristics associated with the geographical location contribute substantially to the gap between municipalities. In order to ensure countries' sustainable development, there is a need for environmental policies adapted to the specific features of each region.

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Bioclimatic comfort in urban planning and modeling spatial change during 2020–2100 according to climate change scenarios in Kocaeli, Türkiye

IŞINKARALAR

2023

Int. J. Environ. Sci. Technol.

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Built-up area and population density: Two Essential Societal Variables to address climate hazard impact

Cited by 54 publications

References 42 publications

Earth Observation for the Implementation of Sustainable Development Goal 11 Indicators at Local Scale: Monitoring of the Migrant Population Distribution

Earth Observation for the Implementation of Sustainable Development Goal 11 Indicators at Local Scale: Monitoring of the Migrant Population Distribution

Regional analysis of the sustainable development of two Mediterranean countries: Spain and Italy

Bioclimatic comfort in urban planning and modeling spatial change during 2020–2100 according to climate change scenarios in Kocaeli, Türkiye

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