Evaluation of urban land-use structures with a view to sustainable development

2002 ◽  
Vol 22 (5) ◽  
pp. 475-492 ◽  
Author(s):  
Nguyen Xuan Thinh ◽  
Günter Arlt ◽  
Bernd Heber ◽  
Jörg Hennersdorf ◽  
Iris Lehmann
2021 ◽  
Vol 13 (4) ◽  
pp. 2338
Author(s):  
Xinxin Huang ◽  
Gang Xu ◽  
Fengtao Xiao

As one of the 17 Sustainable Development Goals, it is sensible to analysis historical urban land use characteristics and project the potentials of urban sustainable development for a smart city. The cellular automaton (CA) model is the widely applied in simulating urban growth, but the optimum parameters of variables driving urban growth in the model remains to be continued to improve. We propose a novel model integrating an artificial fish swarm algorithm (AFSA) and CA for optimizing parameters of variables in the urban growth model and make a comparison between AFSA-CA and other five models, which is used to study a 40-year urban land growth of Wuhan. We found that the urban growth types from 1995 to 2015 appeared relatively consistent, mainly including infilling, edge-expansion and distant-leap types in Wuhan, which a certain range of urban land growth on the periphery of the central area. Additionally, although the genetic algorithms (GA)-CA model and the AFSA-CA model among the six models due to the distance variables, the parameter value of the GA-CA model is −15.5409 according to the fact that the population (POP) variable should be positively. As a result, the AFSA-CA model regardless of the initial parameter setting is superior to the GA-CA model and the GA-CA model is superior to all the other models. Finally, it is projected that the potentials of urban growth in Wuhan for 2025 and 2035 under three scenarios (natural urban land growth without any restrictions (NULG), sustainable urban land growth with cropland protection and ecological security (SULG), and economic urban land growth with sustainable development and economic development in the core area (EULG)) focus mainly on existing urban land and some new town centers based on AFSA-CA urban growth simulation model. An increasingly precise simulation can determine the potential increase area and quantity of urban land, providing a basis to judge the layout of urban land use for urban planners.


2019 ◽  
Vol 110 ◽  
pp. 02114
Author(s):  
Marina Podkovyrova ◽  
Olga Volobueva ◽  
Larisa Gilyova

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.


Author(s):  
S. Khademi ◽  
M. Norouzi ◽  
M. Hashemi

<p><strong>Abstract.</strong> Determining the manner of land-use and the spatial structure of cities on the one hand, and the economic value of each piece of land on the other hand, land-use planning is always considered as the main part of urban planning. In this regard, emphasizing the efficient use of land, the sustainable development approach has presented a new perspective on urban planning and consequently on its most important pillar, i.e. land-use planning. In order to evaluate urban land-use, it has been attempted in this paper to select the most significant indicators affecting urban land-use and matching sustainable development indicators. Due to the significance of preserving ancient monuments and the surroundings as one of the main pillars of achieving sustainability, in this research, sustainability indicators have been selected emphasizing the preservation of ancient monuments and historical observance of the city of Susa as one of the historical cities of Iran. It has also been attempted to integrate these criteria with other land-use sustainability indicators. For this purpose, Kernel Density Estimation (KDE) and the AHP model have been used for providing maps displaying spatial density and combining layers as well as providing final maps respectively. Moreover, the rating of sustainability will be studied in different districts of the city of Shush so as to evaluate the status of land sustainability in different parts of the city. The results of the study show that different neighborhoods of Shush do not have the same sustainability in land-use such that neighborhoods located in the eastern half of the city, i.e. the new neighborhoods, have a higher sustainability than those of the western half. It seems that the allocation of a high percentage of these areas to arid lands and historical areas is one of the main reasons for their sustainability.</p>


2020 ◽  
Author(s):  
Zipan Cai ◽  
Si Chen ◽  
Vladimir Cvetkovic

&lt;p&gt;In the context of accelerated urbanization, ecological and agricultural lands are continuously sacrificed for urban construction, which may severely affect the urban ecological environment and the health of citizens in cities in the long-term. To explore the sustainable development of cities, it is of considerable significance to study the complex and non-linear coupling relationship between urban expansion and the ecological environment. Different from static quantitative analysis, this paper will establish a spatial dynamic modeling approach couples the urban land-use change and ecosystem services. The spatial dynamic modeling approach combines a network-based analysis method with accurate environmental assessments, which includes a causal change mechanism that simplifies the complex interaction between the urban system and the surrounding environment. Because the model can use a pre-determined cell transformation rules to simulate the conversion probability of land cells at a specific point in time, it provides the opportunity to test the impact of changes in different policy scenarios. In the phase of the environmental impact assessment, the change probability will be converted into an environmental impact based on the calculation of the ecosystem services values under different development scenarios. Taking Nanjing, a rapidly developing city in China as an example, this paper will set up a variety of sustainable development policy scenarios based on the feedback relationship of local land use driving factors. We will test and evaluate the &amp;#8220;what-if&amp;#8221; consequences through a comparative study to help design the optimal environmental regulation scheme. Planning and decision support will be made to further guide the rational allocation of land use parcel and land development intensity towards a sustainable development future. As a result, this study can support policy decision makings on urban land-use planning and achieve ecological and agricultural land preservation strategies.&lt;/p&gt;


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Xiaoxiao Wang ◽  
Ying Zhou

This research explores “urban sprawl” to discover the reasons behind urban land-use changes and urban pattern transformations on a regional level. It begins with definitions of sprawl in Western and Eastern countries, then provides an adequate data analysis: collects related Index for urban sprawl and sustainable development for 15 top urban regions over 10 years (1999, 2004, and 2009), indicates which parameters can be considered as indicators for sustainable development in urban sprawl in China, and points out how these parameters affect the process of urban sprawl in the major cities in China.


2019 ◽  
Vol 11 (03) ◽  
pp. 347-358
Author(s):  
Banki Thomas Chunwate ◽  
Sani Yahaya ◽  
Ishaya Kunden Samaila ◽  
Shittu Whanda Ja’afaru

2019 ◽  
Vol 11 (10) ◽  
pp. 2927 ◽  
Author(s):  
Guang Yang ◽  
Sara Chao ◽  
Jin Yeu Tsou ◽  
Yuanzhi Zhang

As a typical rapid-development seaport area in coastal cities, such as Caofeidian, the study on the spatiotemporal changes of urban land use and its surrounding rural areas is valuable and significant in reference to the future urban planning and land policies in similar coastal areas of China or other countries. Based on satellite images, this research processes images in different years for summarizing the changes of vegetation, urban areas, and water areas in Caofeidian and the suburbs. This research aims to summarize the experience of the coastal city in the process of sustainable development by analyzing the dynamic trends and driving factors of land use spatial and temporal changes in the target area so that it provides a reference for the long-term development of the city. Meanwhile, it also hopes to give support for refining and improving the spatiotemporal analysis method for sustainable urban land use through the experiment. Due to the appearance of the results of the abnormal data, in the experiment process, this article adopts a comparative experiment to avoid the error of the analysis result and to find out the reason. The results show that the urban area for construction increased rapidly in the past twenty years, which is mainly affected by factors, such as economic development, policy guidance, environmental awareness, and environmental protection measures, especially guided by policies. Thus, coastal cities should stretch the planning of sustainable development from the three aspects combining with local characteristics. Besides, phenological phenomena and crops harvest time tremendously affect the images and calculation. The selection of remotely-sensed images should fully consider the characteristics of urban and rural locations, especially the impact of local phenological phenomena. The results of the analysis provide reference value and support for sustainable urban land management and development in the study area and other coastal cities.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Guolei Zhou ◽  
Chenggu Li ◽  
Yanjun Liu ◽  
Jing Zhang

The evolution of urban spatial structure and urban land use is a topical issue in urban studies. The analysis of the complexity of functional urban spaces evolution is valuable for a deeper understanding of the changes in urban spatial structure. Taking the central city of Changchun as the study area, the paper uses the urban land conversion method to analyze the spatial and temporal characteristics of functional urban spaces evolution in different aspects. The study found that the evolution of functional urban spaces presents significant spatial and temporal differences in different stages and different aspects. There is a close relationship between functional urban spaces evolution and scale. As the scale becomes smaller, the spatial differences and patterns of functional urban spaces evolution become more complex. In the context of rapid urbanization, the mutual replacement of functional urban spaces is frequent, which is not conducive to the sustainable development of urban space as a whole. This study will deepen the understanding of the evolution of urban spatial structure and the complexity of urban systems and provide theoretical support for the optimization and sustainable development of urban spaces.


2021 ◽  
Vol 10 (2) ◽  
pp. 64
Author(s):  
Chaopeng Li ◽  
Guoyin Cai ◽  
Mingyi Du

Indicator 11.3.1 of the UN Sustainable Development Goals (SDG 11.3.1) was designed to test land-use efficiency, which was defined as the ratio of the land consumption rate (LCR) to the population growth rate (PGR), namely, LCRPGR. This study calculates the PGRs, LCRs, and LCRPGRs for 333 cities from 1990–2000 and 391 cities from 2000–2015 in four geographical divisions in Eurasia according to the method given by UN metadata. The results indicate that Europe and Japan have the lowest PGR and LCR, indicating that this region’s level of urbanization is the highest. South and Central Asia have the lowest values of LCRPGR, indicating relatively lower urban land supply during the measurement periods. Compared with the mean LCRPGR in a region, the average values from SDG 11.3.1 by different types of cities in a region can have more guiding significance for urban sustainable development. While paying attention to the urban land-use efficiency of mega and extra-large cities, more attention should be paid to the coordination relationship between urban land supply and population growth in large, medium, and small cities. Additionally, the method from UN metadata works well for most urban expansion cities but is not suitable for cities with small changes in urban populations.


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