A distance-driven urban simulation model (DISUSIM): Accounting for urban morphology at multiple landscape levels

Yang, Jianxin; Yang, Shengbing; Li, Jingjing; Gong, Jian; Yuan, Mei; Li, Jingye; Dai, Yunzhe; Ye, Jing

doi:10.1016/j.cities.2022.104156

Cited by 5 publications

(4 citation statements)

References 76 publications

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“…In the process of rapid urbanization, the spatial changes of urban agglomerations are mainly characterized by two forms neighborhood advancement and urban area expansion (Yang et al, 2023). The land use conflict and the resulting landscape fragmentation are the spatial epitome of the conflict of interests and the transformation of the spatial carrying function of the country.…”

Section: Construction Of a Comprehensive Conflict Index Model For The...mentioning

confidence: 99%

“…The PLUS model is a CA model that integrates Land Expansion Strategy Analysis (LEAS) and multi-type random patch seeding (CARS) (Yang et al, 2023). The model is based on raster data and obtains the development probability of each type of land use within a unit image element and the contribution of drivers to land use expansion by mining land expansion transition principles and drivers, and predicts land use over time with the help of the Markov chain module.…”

Section: Plus Model Core Algorithmmentioning

confidence: 99%

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Study on multi-scenarios regulating strategy of land use conflict in urban agglomerations under the perspective of “three-zone space”: a case study of Harbin-Changchun urban agglomerations, China

Zheng,

Guo,

et al. 2024

Front. Environ. Sci.

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Introduction: Against the background of rapid global urbanization, the urban space expansion has led to increasingly acute land-use conflicts. Accurately understanding the spatial and temporal evolution characteristics of land-use conflict patterns and measuring the level of spatial conflicts are crucial for intensifying sustainable use and management of land resources. Existing research focuses on analyzing the current status of land-use conflicts, while there is limited discussion on tracking spatial-temporal dynamic patterns and simulating future conflict trends.Method: In this paper, the level of spatial conflict was measured by constructing a spatial comprehensive conflict index (SCCI) model, and the spatio-temporal evolution characteristics of land use conflict in Harbin-Changchun urban agglomeration from 2000 to 2020 are discussed. In addition, the PLUS model is used to simulate and predict the pattern of land use conflict in 2030, finally put forward the control strategy.Results: Result shows that: (1) Over the past 20 years, urban space has expanded rapidly with two provincial capitals as growth poles. Land-use conflicts generally exhibit a distribution pattern of “high in the west and low in the east, high in the core and low in the periphery.” (2) During the past 20 years, conflicts have intensified initially and then eased. Severe uncontrolled conflicts are concentrated in the transition zone between urban and rural areas of urban agglomerations. (3) Agricultural space is the core resource and key area contested by different interest subjects in the process of land development and utilization.Discussion: The agricultural space priority scenario proves to be the most effective in controlling spatial conflicts. However, a single space priority scenario cannot adequately address multiple spatial rights and interests. Therefore, different spatial management modes should be implemented in different areas. The purpose of this paper is to provide scientific strategies and suggestions for controlling land-use conflicts in urban agglomerations and achieving sustainable development of regional land use.

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Section: Construction Of a Comprehensive Conflict Index Model For The...mentioning

confidence: 99%

Section: Plus Model Core Algorithmmentioning

confidence: 99%

Study on multi-scenarios regulating strategy of land use conflict in urban agglomerations under the perspective of “three-zone space”: a case study of Harbin-Changchun urban agglomerations, China

Zheng,

Guo,

et al. 2024

Front. Environ. Sci.

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“…Previous studies have mainly used models such as SLEUTH [41] and FLUS [42] to simulate urban growth. These models are encapsulated and easy to use [43]. However,…”

Section: Urban Growth Simulationmentioning

confidence: 99%

“…Previous studies have mainly used models such as SLEUTH [41] and FLUS [42] to simulate urban growth. These models are encapsulated and easy to use [43]. However, the input indicators of these models are limited and have poor scalability; for example, in the SLEUTH model, the input indicators include slope, land use, exclusion factors (such as water bodies), urban extent, transportation, and hill shade.…”

Section: Urban Growth Simulationmentioning

confidence: 99%

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Zhu

Liu

et al. 2023

Land

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Previous allocations of new urban land were ineffective because they lacked synergy between quota and space, challenging the government planning authority. This study proposes a new and more reasonable urban land allocation method to guide the smart growth of cities. We used a logistic regression model and multisource data to explore the laws of urban growth and employed a cellular automata (CA) model to simulate this under inertial and constrained scenarios. In addition, the disparities between both scenarios concerning allocation were analyzed. We realized the synergy of quota and space allocations of new urban land through urban growth simulation. Further, the allocation of new urban land was more consistent with the development strategy of Guangzhou under a constrained scenario. The allocation of space was more regular and concentrated under a constrained scenario, which aligns with the requirements of the Government Land Space Planning. Additionally, in the constrained scenario, the bottom lines of cultivated land protection, ecological service, and geological safety were better controlled. This study compensated for the shortcomings of the disjoined quota and space allocations of new urban land and proved that a constrained scenario can more effectively promote reasonable urban growth.

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Understanding regional structure through spatial networks: A simulation optimization framework for exploring balanced development

Li,

Liao,

et al. 2024

Habitat International

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A distance-driven urban simulation model (DISUSIM): Accounting for urban morphology at multiple landscape levels

Cited by 5 publications

References 76 publications

Study on multi-scenarios regulating strategy of land use conflict in urban agglomerations under the perspective of “three-zone space”: a case study of Harbin-Changchun urban agglomerations, China

Study on multi-scenarios regulating strategy of land use conflict in urban agglomerations under the perspective of “three-zone space”: a case study of Harbin-Changchun urban agglomerations, China

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Understanding regional structure through spatial networks: A simulation optimization framework for exploring balanced development

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