Identification of Potential Urban Development Areas and Extraction of Urban Land Use Information Based on Open Source Data

2017 ◽  
Author(s):  
Shaojuan Xu ◽  
Nina Manzke ◽  
Norbert de Lange ◽  
Jan Zülsdorf ◽  
Martin Kada ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Open Source ◽  
Urban Land ◽  
End Users ◽  
Urban Land Use ◽  
Sustainable Urban Development ◽  
Vegetation Coverage ◽  
Open Source Data ◽  
Source Data

The optimization of urban land use is a very important aspect of sustainable urban development, including recycling abandoned land and further developing in-use areas. However, limited knowledge of these kinds of areas and their properties have been restricting end-users from exploring and reusing them. URBIS (URBan land recycling Information services for Sustainable cities) is a European project aimed at identifying urban areas which have potential to be further developed, as well as to extract their land use information based on open spatial data. URBIS first selected and stored possible sites as polygons in a Green or Grey Layer. In a second step, the information about the sites like size, vegetation coverage, and transportation connections are also calculated and attached as attributes to the polygons. At the end, the project results are presented through online services giving end-users the possibility to not only view all these areas but also select their own areas of interest according to particular attributes. The URBIS strategy has been successfully implemented in three pilot cities already. Since the methodology and the service system developed in the project are based on open source data and open source software, URBIS could easily be expanded to other European cities.

Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities

2020 ◽  
Vol 247 ◽  
pp. 111838 ◽  
Author(s):  
Yanfei Zhong ◽  
Yu Su ◽  
Siqi Wu ◽  
Zhendong Zheng ◽  
Ji Zhao ◽  
...  
Keyword(s):  
Land Use ◽  
Open Source ◽  
Urban Land ◽  
Urban Land Use ◽  
Data Driven ◽  
Chinese Cities ◽  
Open Source Data ◽  
Source Data ◽  
Point Line

scholarly journals Urban land use planning within the system of sustainable urban development management

2019 ◽  
Vol 110 ◽  
pp. 02001 ◽  
Author(s):  
Boris Bondarev ◽  
Sergey Nosov ◽  
Oleg Antipov ◽  
Lusine Papikian
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Land Use Planning ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Land ◽  
Urban Land Use ◽  
Sustainable Urban Development ◽  
Development Management ◽  
Forest Lands

Agricultural and forest lands near settlements are main reserve for expansion of urban areas. Thus, among 148.5 thousand hectares of lands added to Moscow city territory in 2012, 72.2 thousand hectares or 48% were occupied by agricultural and forest lands. Urban areas are characterized by excessively high intensity of land use, land depletion, deterioration in environmental quality and decline in sustainability of urban development. The paper presents the results of analysis of urban land use planning system in the interests of sustainable development of urban territories. The object of the study is the land that is part of Moscow, which is planned to be developed in the coming decades. The authors propose an algorithm for urban development of such areas, which takes into account the quality of land. Design calculations for areas under development were carried out for Shchapovskoye settlement in New Moscow as an example. In addition, the paper covers aspects of land management when developing agricultural land within cities. The authors developed a classification of agricultural land according to a criterion of “suitability for urban development”. The suggested classification has been applied to achieve the objectives of planning urban land use development, determining the order of construction on agricultural lands within the system of sustainable urban development management.

scholarly journals Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 715
Author(s):  
Yingkai Tang ◽  
Kun Wang ◽  
Xuanming Ji ◽  
He Xu ◽  
Yangqing Xiao
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Evaluation System ◽  
Yangtze River Delta ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Efficiency ◽  
Green Development ◽  
Use Efficiency ◽  
Development Orientation

Rapid urbanization has provided a strong impetus for the economic growth of China, but it has also caused many problems such as inefficient urban land use and environmental pollution. With the popularization of the concept of green and sustainable development, the Environmental-Social-Governance (ESG) assessment concept is widely accepted. The government and residents are paying more and more attention to environmental issues in urban development, and environmental protection has formed an important part of urban development. In this context, this study takes 26 cities in the Yangtze River Delta as examples to build an evaluation system for urban land-use efficiency under green development orientation. The evaluation system takes into account the inputs of land, capital, labor, and energy factors in the process of urban development. Based on emphasizing economic output, the social benefits and undesired outputs brought about by urban development are taken into account. This paper measures urban land use efficiency by the super-efficiency SBM model, and on this basis, analyses the spatial-temporal evolution characteristics of urban land-use efficiency. Further, this paper measures urban land use efficiency without considering undesired outputs and compares the two evaluation methods. Again, the comparison illustrates the rationality of urban land use efficiency evaluation system under green development orientation.

scholarly journals Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City

Land ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 155
Author(s):  
Xuanming Ji ◽  
Kun Wang ◽  
Tao Ji ◽  
Yihua Zhang ◽  
Kun Wang
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Environmental Benefits ◽  
Sustainable Urban Development ◽  
Positive Trend ◽  
Entropy Weight ◽  
Xiamen City ◽  
The Government ◽  
Coordination Degree

The high coupling coordination of urban land use benefits is a significant factor for urbanization and sustainable urban development. This study, based on the statistical data from 2002 to 2017 of Xiamen City, constructs an index system that includes social, economic, ecological, and environmental benefits by evaluating the overall coupling coordination degree of land use benefits, using the entropy weight method (EWM), the coupling coordination degree (CCD) model, and the dynamic coupling coordination degree (DCCD) model. The results show that the coupling degree of Xiamen City’s land use is relatively low, while showing a positive trend of development. In terms of the management of land use, the market should play a major role to achieve more efficient land use and promote industrial upgrading. The government should take responsibility for supplying infrastructure, perfecting related laws and regulations, intervening the land use according to the law of markets, and expanding the investment in education, as well as science and technology.

scholarly journals Dynamic simulation of urban expansion based on cellular automata and logistic regression model: Case study of Hyrcanian region of Iran

2016 ◽  
Author(s):  
Meisam Jafari ◽  
Seyed Masoud Monavari ◽  
Hamid Majedi ◽  
Ali Asghar Alesheikh ◽  
Mirmasoud Kheirkhah Zarkesh
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Cellular Automata ◽  
Urban Development ◽  
Rural Areas ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
High Rate ◽  
Hyrcanian Forests

Although, promotion of urbanization culture in recent decades has made inevitable development of cities in the world, however, the development can be guided in a direction that leave, to the extent possible, minimum socioeconomic and environmental impacts. For this, it is required to first forecast auto-spreading orientation of cities and suburbs in rural areas over time and then avoid shapeless growth of cities. This paper is an attempt to develop a dynamic hybrid model based on logistic regression (LR), Markov chain (MC), and cellular automata (CA) for prediction of future urban sprawl in fast-growing cities. The model was developed using 12 widely-used urban development criteria, whose significant coefficient was determined by logistic regression, and validated by relative operating characteristic (ROC) analysis. The validated model was run in Guilan, a tourist province in northern Iran with a very high rate of urban development. For this, changes in the area of urban land use were detected over the period of 1989 to 2013 and then, future sprawl of the province was forecasted by the years 2025 and 2037. The analysis results revealed that the area of urban land use was increased by more than 1.7 % from 36012.5 ha in 1989 to 59754.8 ha in 2013, and the area of Caspian Hyrcanian forestland was reduced by 31628 ha. The results also predicted an alarming increase in the rate of urban development in the province by the years 2025 and 2037, during which urban land use is predicted to develop 0.9 % and 1.38 %, respectively. The development pattern is expected to be uneven and scattered, without following any particular direction. The development will occur close to the existing or newly-formed urban basements as well as around major roads and commercial areas. This development, if not controlled, will lead to the loss of 13863 ha of Hyrcanian forests and if the trend continues, 21013 ha of Hyrcanian forests and 20208 ha of Barren/open lands are expected to be destroyed by the year 2037. In general, the proposed model is an efficient tool for the support of urban planning decisions and facilitates the process of sustainable development of cities by providing decision-makers with an overview on future development of cities where the growth rate is very fast.

scholarly journals Using Open-Source Data and Software to Analyse Land-Use Changes and Deforestation in Marqués de Comillas, Chiapa, Mexico (Work in Progress)

GI_Forum ◽  
2021 ◽  
Vol 1 ◽  
pp. 150-157
Author(s):  
Iskar Jasmani Waluyo Moreno ◽  
José García Hernández ◽  
Agustín Bolóm Gómez ◽  
Julio Cesar García Sampayo
Keyword(s):  
Land Use ◽  
Open Source ◽  
Land Use Changes ◽  
Work In Progress ◽  
Open Source Data ◽  
Source Data

scholarly journals Comprehensive environmental evaluation of an urbanized territory (using the example of Zavodoukovsk city, Russia)

2019 ◽  
Vol 110 ◽  
pp. 02114
Author(s):  
Marina Podkovyrova ◽  
Olga Volobueva ◽  
Larisa Gilyova
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Urban Development ◽  
Comprehensive Evaluation ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Resources ◽  
Environmental Evaluation ◽  
Urbanized Territory ◽  
The City

The article presents the technique and the result of a comprehensive evaluation of urban land use, ensuring the receipt of complete and reliable information about the urban development, socio-economic and environmental conditions of urban land resources that allows forming the maximum possible sustainable development of the city for the future.

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