Mechanisms of Change in Urban Green Infrastructure—Evidence from Romania and Poland

Petrişor, Alexandru-Ionuţ; Mierzejewska, Lidia; Mitrea, Andrei

doi:10.3390/land11050592

Cited by 11 publications

(11 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, planners are responsible for limiting exposure by not permitting the development and movement of population into the hotspots prone to hazards that have been identified in this study. In general, our study provides additional arguments as to why planners should be more sensitive to scientific evidence, especially that which advocates for green infrastructure, which should be embedded in the spatial planning and translated into specific restrictions (Petrişor et al, 2022).…”

Section: Ta B L Ementioning

confidence: 87%

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

Nguyen

Dang

Bui

et al. 2023

Transactions in GIS

Self Cite

View full text Add to dashboard Cite

Natural hazards constitute a diverse category and are unevenly distributed in time and space. This hinders predictive efforts, leading to significant impacts on human life and economies. Multi‐hazard prediction is vital for any natural hazard risk management plan. The main objective of this study was the development of a multi‐hazard susceptibility mapping framework, by combining two natural hazards—flooding and landslides—in the North Central region of Vietnam. This was accomplished using support vector machines, random forest, and AdaBoost. The input data consisted of 4591 flood points, 1315 landslide points, and 13 conditioning factors, split into training (70%), and testing (30%) datasets. The accuracy of the models' predictions was evaluated using the statistical indices root mean square error, area under curve (AUC), mean absolute error, and coefficient of determination. All proposed models were good at predicting multi‐hazard susceptibility, with AUC values over 0.95. Among them, the AUC value for the support vector machine model was 0.98 and 0.99 for landslide and flood, respectively. For the random forest model, these values were 0.98 and 0.98, and for AdaBoost, they were 0.99 and 0.99. The multi‐hazard maps were built by combining the landslide and flood susceptibility maps. The results showed that approximately 60% of the study area was affected by landslides, 30% by flood, and 8% by both hazards. These results illustrate how North Central is one of the regions of Vietnam that is most severely affected by natural hazards, particularly flooding, and landslides. The proposed models adapt to evaluate multi‐hazard susceptibility at different scales, although expert intervention is also required, to optimize the algorithms. Multi‐hazard maps can provide a valuable point of reference for decision makers in sustainable land‐use planning and infrastructure development in regions faced with multiple hazards, and to prevent and reduce more effectively the frequency of floods and landslides and their damage to human life and property.

show abstract

Section: Ta B L Ementioning

confidence: 87%

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

Nguyen

Dang

Bui

et al. 2023

Transactions in GIS

Self Cite

View full text Add to dashboard Cite

show abstract

“…The green-blue infrastructure of Bucharest and its dynamic were investigated by Petrişor et al [14,41], based on Urban Atlas data. According to the aforementioned studies, the green-blue infrastructure of Bucharest consists mainly of agricultural areas (64%), followed by green spaces (20%), forests and natural areas (11%), and leisure areas (5%) [41]. As can be seen, landscaped areas make up one fourth of the green infrastructure.…”

Section: Green-blue Infrastructure In Romaniamentioning

confidence: 99%

Conceptual Model for Integrating the Green-Blue Infrastructure in Planning Using Geospatial Tools: Case Study of Bucharest, Romania Metropolitan Area

Tache

Popescu

Petrişor

2023

Land

Self Cite

View full text Add to dashboard Cite

A green-blue infrastructure is essential for achieving the European Green Deal objectives and can be used to protect large cities and their metropolitan areas against urban sprawl. Green-blue infrastructure is an important research topic, because green-blue planning networks provide solutions for mitigating contemporary growing urban and climate challenges. Our study aims to create an innovative methodology for defining and analyzing the elements of green-blue infrastructure and their connectivity within Bucharest, Romania and its metropolitan area, to serve as a planning model. The methodology consists of merging European geodata sets with metropolitan and local data, using GIS tools, and analyzing the connectivity within the study area. All connections resulted from implementing the Linkage Mapper tool were operationalized, using high-resolution satellite images and correcting obtained connections, so that deviations from reality were minimized. The results consist of a conceptual model for planning the green-blue infrastructure within Bucharest and in its metropolitan area, embedding an analysis of its connectivity. The study contributes to implementing the concept of green infrastructure in urban and spatial planning, providing tools for planning the green-blue infrastructures of large cities and their metropolitan areas and, implicitly, reducing urban sprawl, improving air quality and mitigating environmental threats due to climate change.

show abstract

“…Previous studies conducted in the Romanian context have highlighted the adverse consequences of this form of development [43]. Dense sprawl has resulted in traffic issues [44], the depletion of green infrastructure [45], and the emergence of new residential areas with substandard housing conditions [30]. By examining Bucharest as a case study using satellite imagery and field studies, two types of new residential developments were observed:…”

Section: Development Of New Residential Areasmentioning

confidence: 99%

An Integrated Analysis of the Urban Form of Residential Areas in Romania

Ungureanu,

Șoimoșan

2023

Buildings

View full text Add to dashboard Cite

Romanian cities are facing two opposing patterns of urban development that are common worldwide: a significant number of small cities are undergoing a process of shrinkage, while large cities are experiencing dense urban sprawl. This study examines the framework of the current legislation and urban codes that impact the growth of Romanian cities. The aim is to establish a critical analysis of the current urban codes of residential areas in Romania and to create a framework for an integrated neighbourhood tool of analysis for Romanian residential areas, using urban form as a starting point. This direction starts from the fact that international documents such as the “New Leipzig Charter” recommend a resilient and environmentally friendly approach to urban development, while current Romanian normative documents on resilience and sustainability focus mostly on buildings, ignoring a broader vision that includes the urban scale of the neighbourhood or city while considering the multidisciplinary requirement for understanding urban morphology and phenomena. Existing urban legislation in Romania is characterised by several deficiencies resulting from the fragmentation of outdated regulatory bodies in the field of urban planning. Furthermore, this study has demonstrated that urban indicators can serve as a versatile tool for the assessment and enhancement of residential areas in the country.

show abstract

Mechanisms of Change in Urban Green Infrastructure—Evidence from Romania and Poland

Cited by 11 publications

References 28 publications

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

Conceptual Model for Integrating the Green-Blue Infrastructure in Planning Using Geospatial Tools: Case Study of Bucharest, Romania Metropolitan Area

An Integrated Analysis of the Urban Form of Residential Areas in Romania

Contact Info

Product

Resources

About