Evaluation of the support capacity of land use system on regional sustainable development: Methods and empirical evidence

Intensive development is a sign of human social progress, and moderate intensification is a continuously pursued goal. However, how to conduct a moderately intensive land use evaluation remains a challenge. To solve this problem, this research proposes the concept of sustainable intensification variable and develops a sustainable intensification variable model to determine the appropriate interval of regional intensive land use and evaluate the intensification of land use. The evaluation method of the sustainable intensification variable model is based on the principle and method of the intensification variable, and the regional sustainable development evaluation factors in the model are revised based on rational land use and ecological constraints. To verify the rationality of the model and systematically evaluate the intensification of land use in the city of Jinan, this method was tested using land use data and social economic data on Jinan from 2001, 2011, and 2015. The results show that the model has a high accuracy in judging the moderately intensive interval of regional land use and evaluating intensive land use, and has important reference value for regional sustainable development decision-making.

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Assessment of Social-Economic Risk of Chinese Dual Land Use System Using Fuzzy AHP

Sustainability ◽

10.3390/su10072451 ◽

2018 ◽

Vol 10 (7) ◽

pp. 2451 ◽

Cited By ~ 19

Author(s):

Hai-Min Lyu ◽

Yong-Xia Wu ◽

Jack Shen ◽

An-Nan Zhou

Keyword(s):

Land Use ◽

Sustainable Development ◽

Urban Development ◽

Rural Areas ◽

Social Economic ◽

Fuzzy Ahp ◽

Economic Risk ◽

Building Collapse ◽

Application Procedure ◽

Land Use System

The Chinese dual land use system (DLUS) has played a crucial role in the industrialization of China since 1950s. However, this dual system caused/causes obstacles in urban development under the new market economic conditions. This paper presents an approach to assess the social-economic risks during urban development in China by integrating the strategic environment assessment (SEA) principle into the fuzzy analytic hierarchy process (AHP) method. In the proposed approach, SEA principles are set as the influencing factors in AHP. Fuzzy AHP is used to assess the relative importance degree of the six principles in SEA. To illustrate the application procedure of the proposed approach, a building collapse incident in Wenzhou is used as a case for the risk analysis. The assessment results show that the index of the manage system has the greatest importance to social-economic risk. The principle of sustainable development (A) and monitoring measures (E) have more importance than the other principles in SEA. It can be concluded that the DLUS in the market management of China may be responsible for building collapse incidents in rural areas. It is suggested that the principles of sustainable development and monitoring measures in SEA should be strictly implemented during urbanization, and it is recommended that the government establish a unified management system and ensure the effective implementation of sustainable urbanization.

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Transportation Economic and Land Use System

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1617-12 ◽

1998 ◽

Vol 1617 (1) ◽

pp. 84-89 ◽

Cited By ~ 1

Author(s):

Louis J. Pignataro ◽

Joseph Wen ◽

Robert Burchell ◽

Michael L. Lahr ◽

Ann Strauss-Wieder

Keyword(s):

Land Use ◽

Information System ◽

Management Tool ◽

Improvement Program ◽

Transportation Projects ◽

Accessible Information ◽

Surface Transportation ◽

Land Use System ◽

Land Use Effects ◽

Computer Based

The purpose of the Transportation Economic and Land Use System (TELUS) is to convert the transportation improvement program (TIP) into a management tool. Accordingly, the system provides detailed and easily accessible information on transportation projects in the region, as well as their interrelationships and impacts. By doing so, TELUS enables public-sector agencies to meet organizational, Intermodal Surface Transportation Efficiency Act, state, and other mandates more effectively. The objectives are accomplished by providing the computer-based capability to analyze, sort, combine, and track transportation projects in or under consideration for a TIP; assessing the interrelationships among significant transportation projects; estimating the regional economic and land use effects of transportation projects; and presenting project information in an easily understood format, including geographic information system formats.

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Land use system in the Neolithic

SUBSISTENCE STRATEGIES IN THE STONE AGE, DIRECT AND INDIRECT EVIDENCE OF FISHING AND GATHERING ◽

10.31600/978-5-907053-00-7-2018-69-71 ◽

2018 ◽

Author(s):

Valeriy Manko ◽

Keyword(s):

Land Use ◽

Land Use System

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Correction to: Micro-nutrient pools and their mobility in relation to land-use system in a cold high altitude Himalayan mountainous region

Agroforestry Systems ◽

10.1007/s10457-021-00667-x ◽

2021 ◽

Author(s):

Sandeep Sharma ◽

Pritpal Singh ◽

Padma Angmo ◽

S. S. Dhaliwal

Keyword(s):

Land Use ◽

High Altitude ◽

Mountainous Region ◽

Nutrient Pools ◽

Land Use System

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Exploring the Influences of Innovation Climate and Resource Endowments through Two Types of University–Industry Collaborative Activities on Regional Sustainable Development

Sustainability ◽

10.3390/su13147559 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7559

Author(s):

Shu Yu ◽

Shuangshuang Zhang ◽

Takaya Yuizono

Keyword(s):

Sustainable Development ◽

Human Capital ◽

Economic Development ◽

Equation Modeling ◽

Innovation Activities ◽

Industry Collaboration ◽

Regional Sustainable Development ◽

Resource Endowments ◽

Innovation Climate ◽

University Industry

“Innovation driven” is the proper term for promoting regional sustainable development under the general goal of national high-quality development. University–industry collaboration (UIC) has become an important innovation resource for regional sustainable development. The study aims to analyze the influencing factors and mediating mechanisms of university–industry collaboration scientific and technological (S&T) and business activities oriented for regional sustainable development in 30 provinces in China (excluding Tibet). Specifically, we used the partial least squares (PLS) structural equation modeling method to test the effects of innovation climate and resource endowments on regional sustainable development through two mode pathways of university–industry collaboration activities. The results show that the innovation climate and resource endowments significantly affect UIC in scientific and technological innovation activities, and then affect the regional economic development and human capital. UIC S&T innovation activities play positive mediating roles in promoting regional sustainable development. In addition, the innovation climate does not significantly impact the business activities of UIC. Therefore, region can get a greater sustainable development through UIC S&T innovation activities than business activities. Much more UIC S&T activities can improve the economic development, human capital, and environmental conditions in the region.

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Optimization of a Novel Urban Growth Simulation Model Integrating an Artificial Fish Swarm Algorithm and Cellular Automata for a Smart City

Sustainability ◽

10.3390/su13042338 ◽

2021 ◽

Vol 13 (4) ◽

pp. 2338

Author(s):

Xinxin Huang ◽

Gang Xu ◽

Fengtao Xiao

Keyword(s):

Land Use ◽

Sustainable Development ◽

Urban Growth ◽

Smart City ◽

Urban Land ◽

Urban Land Use ◽

Growth Simulation ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Ca Model

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.

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