scholarly journals Modelling Driving Forces of Urban Growth with Fuzzy Sets and GIS

2018 ◽  
Author(s):  
Khalid Al-Ahmadi
Keyword(s):  
Fuzzy Sets ◽  
Urban Growth ◽  
Driving Forces

Modelling urban growth incorporating spatial interactions between the cities: The example of the Tehran metropolitan region

2018 ◽  
Vol 47 (6) ◽  
pp. 1047-1064
Author(s):  
Sanaz Alaei Moghadam ◽  
Mohammad Karimi ◽  
Kyoumars Habibi
Keyword(s):  
Urban Growth ◽  
Satellite Images ◽  
Driving Forces ◽  
Strategic Decision ◽  
Metropolitan Region ◽  
Growth Modelling ◽  
Spatial Interactions ◽  
Metropolitan Regions ◽  
Central Business Districts ◽  
History Of

Interactions between cities play a significant role in the development of metropolitan regions. Although these interactions and their role in the urban growth modelling have already been investigated, there is still room for more studies. In this research, in addition to conventional urban growth factors, spatial interactions between the cities (SIBC) are incorporated into urban growth modelling. This causes directional trends in urban growth (DTUG). Therefore, first the DTUG of each city was measured using a developed indicator based on the history of urban growth that was extracted from satellite images and spatial statistics. The SIBC was then estimated by integrating the DTUG of the cities. Finally, the SIBC and other driving forces, including the physical suitability, accessibility and neighbourhood effects, were integrated using a cellular automata-based model. The accuracy of the model in the Tehran metropolitan region was increased by 6.44% after considering the SIBC. The analysis of the DTUG and SIBC in the Tehran metropolitan region during 1991–2000–2007–2014 revealed specific patterns as the spatial interactions intensified over time and usually peaked in the periphery of the central business districts and intense interactions existed between the metropolises and other major cities. These findings could help urban managers with strategic decision-making in the metropolitan regions and adjust the science and practice relation in this field.

The Anthropogenic Factors on Urban Growth: An Empirical Quantification in China

2012 ◽  
Vol 518-523 ◽  
pp. 6042-6049 ◽  
Author(s):  
Xue Zhu Cui ◽  
Yao Wu Wang ◽  
Yuan Chang
Keyword(s):  
Urban Growth ◽  
Driving Forces ◽  
Arable Land ◽  
Urban Land Use ◽  
Effective Control ◽  
Anthropogenic Factors ◽  
Affecting Factors ◽  
Management Options ◽  
Rapid Urbanization ◽  
Industry Development

The rapid urbanization in China has caused significant urban land use changes and extensive urban growth these years. That has led to a dramatic decrease in arable land and would challenge the national food security. To understand the anthropogenic driving forces of urban growth and find out effective control methods, this study established the Hierarchical Liner Model (HLM) to explore the influence of such factors including society and economy, population, and industry development. On the base of factor analysis and HLM, the decomposition of the affecting factors for urban growth was performed, it visually shows that the social retail goods, public transit passengers, and nonagricultural populations significantly drove the urban growth in China; the tertiary industry development has weak effects on urban growth. By weighting the role of the anthropogenic factors on urban growth, some advices were given at last, and it could provide possible management options for the government to mitigate the excessive urban growth in the near future.

scholarly journals Revealing the Driving Forces of Mid-Cities Urban Growth Patterns Using Spatial Modeling: a Case Study of Los Ángeles, Chile

2007 ◽  
Vol 12 (1) ◽  
Author(s):  
Mauricio I. Aguayo ◽  
Thorsten Wiegand ◽  
Gerardo D. Azócar ◽  
Kerstin Wiegand ◽  
Claudia E. Vega
Keyword(s):  
Los Angeles ◽  
Urban Growth ◽  
Spatial Modeling ◽  
Driving Forces ◽  
Growth Patterns

scholarly journals Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data

2020 ◽  
Vol 12 (18) ◽  
pp. 2905
Author(s):  
Maochou Liu ◽  
Shuguang Liu ◽  
Ying Ning ◽  
Yu Zhu ◽  
Rubén Valbuena ◽  
...  
Keyword(s):  
Change Detection ◽  
Urban Growth ◽  
Driving Forces ◽  
Urban Agglomeration ◽  
Annual Growth Rate ◽  
Continuous Change ◽  
Dominant Type ◽  
The Core ◽  
Urbanization In China ◽  
The Cost

The co-evolution of multi-cities has emerged as the primary form of urbanization in China in recent years. However, the processes, patterns, and coordination are not well characterized and understood, which hinders the understanding of the driving forces, consequences, and management of polycentric urban development. We used the Continuous Change Detection and Classification (CCDC) algorithm to integrate all available Landsat 5, 7, and 8 images and map annual land use and land cover (LULC) from 2001 to 2017 in the Chang–Zhu–Tan urban agglomeration (CZTUA), a typical urban agglomeration in China. Results showed that the impervious surface in the study area expanded by 371 km2 with an annual growth rate of 2.25%, primarily at the cost of cropland (169 km2) and forest (206 km2) during the study period. Urban growth has evolved from infilling being the dominant type in the earlier period to mainly edge-expansion and leapfrogging in the core cities, and from no dominant type to mainly leapfrogging in the satellite cities. The unfolding of the “cool center and hot edge” urban growth pattern in CZTUA, characterized by higher expansion rates in the peripheral than in the core cities, may signify a new form of the co-evolution of multi-cities in the process of urbanization. Detailed urban management and planning policies in CZTUA were analyzed. The co-evolution of multi-cities principles need to be studied in more extensive regions, which could help policymakers to promote sustainable and livable development in the future.

scholarly journals Urban Expansion in Ethiopia from 1987 to 2017: Characteristics, Spatial Patterns, and Driving Forces

2019 ◽  
Vol 11 (10) ◽  
pp. 2973 ◽  
Author(s):  
Berhanu Keno Terfa ◽  
Nengcheng Chen ◽  
Dandan Liu ◽  
Xiang Zhang ◽  
Dev Niyogi
Keyword(s):  
Urban Development ◽  
Spatial Patterns ◽  
Urban Growth ◽  
Driving Forces ◽  
Addis Ababa ◽  
Urban Expansion ◽  
Spatiotemporal Analysis ◽  
Rapid Urbanization ◽  
Master Plans ◽  
Coalescence Theory

Rapid urban growth in major cities of a country poses challenges for sustainable development. Particularly in Africa, the process of rapid urbanization is little understood and research is mostly limited to single cities. Thus, this study provides a comprehensive comparative analysis of the growth and spatial patterns of urban development in the three major cities of Ethiopia (Addis Ababa, Adama, and Hawassa) from 1987 to 2017. Also, the applicability of diffusion and coalescence theory on the evolution of these cities has been tested. Remote sensing and GIS technologies were combined with spatial metrics and morphological analysis was employed to undertake this study. The result revealed that all the studied cities experienced accelerated growth in the urbanized areas, but the cities with a larger initial urbanized size were associated with lower expansion rates. Differences in extent and direction of expansion in each city were mostly related to physical features, urban master plans, and policies, with an increase in the irregularity and dispersion of urban growth, representing strong evidence of urban sprawl. The spatiotemporal analysis confirmed that the urbanization processes of Addis Ababa and Adama were consistent and Hawassa city diverged from expectations based on diffusion and coalescence theory. In general, large cities with strong economic growth in a country fail to effectively control the scattered nature of urban growth, thus requiring aggressive policy intervention. The approach used in this study permits a deeper exploration of urban development patterns and the identification of priority areas for effective urban planning and management.

scholarly journals Application of Pythagorean Fuzzy Digraphs in Package Delivery Robots

2021 ◽  
Author(s):  
Kanagaraj Sangeetha ◽  
◽  
Mani X Mani Parimala ◽  
Mohammed A. Al Shumrani ◽  
Said Broumi ◽  
...  
Keyword(s):  
Fuzzy Sets ◽  
Fuzzy Set ◽  
Driving Forces ◽  
Intuitionistic Fuzzy Set ◽  
Score Function ◽  
Fuzzy Graph ◽  
Pythagorean Fuzzy Set ◽  
Intuitionistic Fuzzy ◽  
Package Delivery ◽  
Vertex Set

The fuzzy set concept was developed to cope with uncertainty, whereas traditional sets are intended to deal with certainty. To address flaws in fuzzy set theory, extensions such as Intuitionistic Fuzzy Set (IFS), neutrosophic fuzzy sets, image fuzzy sets, and Pythagorean fuzzy set (PyFS) were developed. Pythagorean fuzzy set is useful tool for more clearly defining hazy concepts. In comparison to other fuzzy models, Pythagorean fuzzy set-based models allow more flexibility in handling human judgement information. The fuzzy graph structure is used to deal with the uncertainty in a network and to characterize its relationship with the non-empty vertex set. Pythagorean fuzzy graph (PyFG) was one of the Intuitionistic Fuzzy Graph (IFG) extensions. PyFG was created to cope with the uncertainty of an object and its relationship with other objects. PyFS and PyFG are the driving forces behind this innovative concept. This work defines Pythagorean Fuzzy Digraph (PyFDG), and PyFDG's score function. An algorithm is proposed for an issue to find the Pythagorean shortest path in package delivery robots.

scholarly journals IDENTIFYING FACTORS INFLUENCING URBAN SPATIAL GROWTH FOR THE GEORGE TOWN CONURBATION

2016 ◽  
Vol 14 ◽  
Author(s):  
Mohd Amirul Mahamud ◽  
Narimah Samat ◽  
Noorzailawati Mohd Noor
Keyword(s):  
Urban Growth ◽  
Driving Forces ◽  
Spatial Models ◽  
Housing Price ◽  
Future Research ◽  
Spatial Growth ◽  
Factors Influencing ◽  
On Line ◽  
Line Survey ◽  
George Town

Urban growth, which caused spatial land use and land cover changes has affected various physical environment, social, and economic activities. Thus, in order to understand the dynamic process of urban spatial growth, researchers throughout the world have implemented diverse approaches, where spatial models have been developed to predict and simulate future urban growth. Those models were developed based on the driving forces that stimulate urban spatial growth. Therefore, in ensuring reliable models to be developed will be able to forecast future changes and their potential environmental effects, the driving forces must be identified. The objective of this paper is to identify possible driving forces that promote urban spatial growth of the George Town Conurbation. The study was conducted based on reviewing recent publications in journals and an on-line survey. An on-line survey was generated and distributed to academicians and urban planners to identify factors influencing urban spatial growth and their weights. The findings indicated that distance to public amenities, cheap housing price, and distance to the workplace are among factors that are important determinants of urban development. The results provide valuable insights in modelling urban growth in future research.

scholarly journals Do Traditional Livestock Systems Fit into Contemporary Landscapes? Integrating Social Perceptions and Values on Landscape Change

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1107
Author(s):  
Pablo Acebes ◽  
Zuriñe Iglesias-González ◽  
Francisco J. Muñoz-Galvez
Keyword(s):  
Urban Growth ◽  
Rural Areas ◽  
Cultural Landscapes ◽  
Driving Forces ◽  
Landscape Planning ◽  
Large City ◽  
Well Being ◽  
Dual Process ◽  
Social Perceptions ◽  
Livestock Farming

European traditional cultural landscapes are increasingly modified by rural abandonment and urban growth processes. Acknowledged as of High Nature Value for providing multiple ecosystem services while contributing to human well-being, the future of these social-ecological systems is uncertain. Here we aim to (1) explore dominant land use and cover (LULC) changes linked to extensive livestock farming across an urban-rural gradient defined by a large city (Madrid) over the last three decades; (2) identify and classify the main driving forces shaping these landscape trajectories and; (3) acknowledge the main landscape values for promoting landscape stewardship under participatory governance frameworks. For doing so, we combine mapping analyses (CORINE Land cover) with stakeholder perceptions and positions. Our results show a dual process of progressive abandonment of agroecosystems linked to traditional livestock farming and an ever-increasing urban growth over the last three decades as the most important driving forces. The growing urban sprawl in areas close to Madrid begins to be perceived as problematic for interviewees. The decline of extensive livestock farming in detriment of tourism, particularly evident in rural areas far from Madrid, is perceived as a threat to the cultural heritage and traditions of rural people. This decline is also perceived as a worrying increase of wildfire risk. Stakeholders stressed the need of valuing extensive livestock farming to prevent rural-urban migration, dynamizing rural economies, conserving landscapes and traditions while producing food-quality products. Interviewees advocated for science-based, stakeholder-inclusive and participatory landscape planning and co-management, leading to more context-specific, regionalized policymaking.

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