URBAN GROWTH MODELLING AND 3D URBAN GROWTH MODELS

2021 ◽  
Author(s):  
Azem Kuru ◽  
Mehmet Ali Yüzer
Keyword(s):  
Urban Growth ◽  
Growth Models ◽  
Growth Modelling

scholarly journals Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions

2021 ◽  
Vol 13 (3) ◽  
pp. 512
Author(s):  
Jairo Alejandro Gómez ◽  
ChengHe Guan ◽  
Pratyush Tripathy ◽  
Juan Carlos Duque ◽  
Santiago Passos ◽  
...  
Keyword(s):  
Urban Growth ◽  
Geographical Information Systems ◽  
Growth Models ◽  
A Priori ◽  
Remote Sensing Data ◽  
Public Utility ◽  
Town Planning ◽  
Geographical Information ◽  
New Town ◽  
Spatiotemporal Uncertainty

With the availability of computational resources, geographical information systems, and remote sensing data, urban growth modeling has become a viable tool for predicting urbanization of cities and towns, regions, and nations around the world. This information allows policy makers, urban planners, environmental and civil organizations to make investments, design infrastructure, extend public utility networks, plan housing solutions, and mitigate adverse environmental impacts. Despite its importance, urban growth models often discard the spatiotemporal uncertainties in their prediction estimates. In this paper, we analyzed the uncertainty in the urban land predictions by comparing the outcomes of two different growth models, one based on a widely applied cellular automata model known as the SLEUTH CA and the other one based on a previously published machine learning framework. We selected these two models because they are complementary, the first is based on human knowledge and pre-defined and understandable policies while the second is more data-driven and might be less influenced by any a priori knowledge or bias. To test our methodology, we chose the cities of Jiaxing and Lishui in China because they are representative of new town planning policies and have different characteristics in terms of land extension, geographical conditions, growth rates, and economic drivers. We focused on the spatiotemporal uncertainty, understood as the inherent doubt in the predictions of where and when will a piece of land become urban, using the concepts of certainty area in space and certainty area in time. The proposed analyses in this paper aim to contribute to better urban planning exercises, and they can be extended to other cities worldwide.

scholarly journals A spatial zoning approach to calibrate and validate urban growth models

2016 ◽  
Vol 31 (4) ◽  
pp. 763-782 ◽  
Author(s):  
Ali Kazemzadeh-Zow ◽  
Saeed Zanganeh Shahraki ◽  
Luca Salvati ◽  
Najmeh Neisani Samani
Keyword(s):  
Urban Growth ◽  
Growth Models

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.

Modeling Urban Systems

2012 ◽  
pp. 322-351 ◽  
Author(s):  
John D. Landis
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Travel Behavior ◽  
Growth Models ◽  
Urban Systems ◽  
Economic Base ◽  
Hedonic Price ◽  
Hedonic Price Models ◽  
Different Types ◽  
Behavior Models

This article examines the different types of urban model used in urban planning in North America, and to a lesser extent, in Europe, Asia, and South Americam, which include the population-projection models, economic base models, hedonic price models, and travel-behavior models. It describes emerging procedures such as land-use change and urban-growth models, and looks at Charles Tiebout's model of efficient public choice and Thomas Schelling's model of spatial segregation.

Public Policy Conclusions from Urban Growth Models

1972 ◽  
Vol SMC-2 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Leo P. Kadanoff ◽  
Herbert Weinblatt
Keyword(s):  
Public Policy ◽  
Urban Growth ◽  
Growth Models

scholarly journals Using suitability analysis, informed by Co-Design, to assess contextually appropriate urban growth models in Gulu, Uganda

2021 ◽  
pp. 1-25
Author(s):  
Julian Bolleter ◽  
Richard Vokes ◽  
Anthony Duckworth ◽  
Grace Oliver ◽  
Tony McBurney ◽  
...  
Keyword(s):  
Urban Growth ◽  
Growth Models ◽  
Suitability Analysis
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