scholarly journals Land use and urban sustainability assessment: a 3D-GIS application to a case study in Gozo

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Rosa Morosini ◽  
Floriana Zucaro

Abstract Balancing urban growth and natural resource availability has been recognized as the main challenge of the 21st century from the strategic documents adopted by the recent World Summits. Agenda 21 advocates sustainable land use, as soil is a crucial natural resource to reduce urban vulnerability due e.g. to climate change, energy saving, and natural disasters. In this perspective, this paper aims at supporting local decision makers in identifying the portions and the buildings of an urban area most susceptible to transformation, in order to promote a sustainable land use according to physical and functional characteristics. The proposed methodology combines the 3D modeling of urban settlements and the adoption of the performance-based approach by the urban transformation government, in order to guarantee the satisfaction of the supply–demand ratio through a compatible balance between urban growth dynamics and the overall urban efficiency. The test area was Gozo island, where a significant urban transformation will occur as a consequence of the new Malta-Gozo tunnel construction.

2020 ◽  
Vol 12 (5) ◽  
pp. 2018 ◽  
Author(s):  
Eric Vaz

Background: Land-use change, resulting from urban expansion, has led to the unprecedented importance of rethinking our interactions with the environment in general. The consequences of anthropogenic activity on natural land, as well as sustainable land use types, is a significant concern to the detriment of small towns. In this article, I assess the changes in the urban footprint morphology of Northumberland County while evaluating the consequences of urban fragmentation on archaeological sites. Northumberland has a total population of 85,598 divided into seven municipalities and the Alderville First Nation reserve. Northumberland County is a commuting distance of one hour from Toronto, one of North America’s most important economic hubs. It is of the highest importance to measure and understand the current characteristics of land-use change and its impacts on the sustainability of small towns and local communities. Methods: A total of archaeological sites are used to test the impacts of urbanization and land-use change throughout the perimeter of Northumberland county. Spatial analysis is conducted employing spatial autocorrelation techniques (global and local) to assess the existence of hotspots of archaeological sites and the potential endangerment of these sites due to urban pressure. A hexagonal topology is used to derive a regional understanding of impacted regions within the county, allowing the richness of archaeological heritage sites as well as the possible concerns of these spatial clusters to be examined. Results: It is shown that a significant number of archaeological sites are present in Northumberland county, with a clear indication of a hotspot around Rice Lake. Future urbanization as well as land-use fragmentation may have an impact on the sustainability of these archaeological sites. It is shown that hexagonal geometries may establish relevant spatial surfaces to compare urban and archaeological sites as criteria to understand the endangerment of archaeological sites. The availability of the Global Urban Footprint (GUF) creates a particularly rigorous framework for the detection of impact on archaeological sites. Conclusion: The findings suggest that archaeological sites in small towns can benefit from high-resolution urban land-use footprints to detect impacts on archaeological sites and the relations of land-use change and intrasite management. This is of utmost importance in times of significant anthropogenic change brought by increasing urban pressure on small and medium-sized towns.


2013 ◽  
Vol 448-453 ◽  
pp. 4091-4096
Author(s):  
Xiao Ting Xu ◽  
Qin Fang Li ◽  
Li Chun Sui ◽  
Min Jiang

Stakeholder Theory and System Analysis Approach were employed to study on land use conflicts and their management methods in rural-urban transformation and promote sustainable land-use and healthy urbanization development. The results indicate that land use conflicts are increasing seriously in rural-urban transformation, which has become the obstacle to sustainable land-use and healthy urbanization development. Under the state council, local governments and all enterprises, rural collective economic organizations, and peasants are the major stakeholders. Different interests of various stakeholders are the root of these conflicts. Land use conflicts can be dissolved through improving rural land property rights institution and land requisition system, and establishing coordination mechanism of interests based on the principle of interests balance in Rural-urban transformation.


10.29007/dc37 ◽  
2019 ◽  
Author(s):  
Rodrigo Lopez-Farias ◽  
Juan Antonio Pichardo-Corpus ◽  
Raúl A. Aguilar-Vilchis

Land use change is a global phenomenon that impacts directly to the urban growth and it should be addressed from different disciplines to minimize the potential negative effects of urbanization predicting the spatial urban growth. The urban growth dynamics might be very complicated and difficult to model, nevertheless it is necessary to understand the causes of the dynamics and the dynamics itself to build precise computational models that help to detect problems generated by urban land use change. For that reason, we propose the study of the land use suitability sub-model used by several models to make land use spatial predictions. This sub-model is implemented as a logistic regression based on linear correlations. The problem is that this model is limited to capture a variety of nonlinear relations among variables for prediction and classification purposes. We propose to use an alternative based on Deep Feedforward Networks able to deal with this problem.In Mexico, the urban growth will increase considerably the number of cities during the next decade where the Mexican population will be concentrated. That means that the generation and study of existing spatio-temporal computational frameworks for studying the Mexican urban growth is very relevant. Therefore we present an initial contribution comparing Deep Feedforward Networks with a Multi-Level Linear Logistic Regression as land suitability models applied to Mexican land use classification. We show that basic deep feedforward models outperform in allocation accuracy to linear logistic regression, and also minimizes the parameters tuned by trial and error.


2021 ◽  
pp. 517-538
Author(s):  
Mangalasseril Mohammad Anees ◽  
Richa Sharma ◽  
Pawan Kumar Joshi

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