Related Experiment Video
Updated: Jun 24, 2025
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
13.0K
Dynamic evolution and trend prediction in coupling coordination between urban and rural space utilization efficiency
Fengtai Zhang1,2, Aiyu Xie1, Jiawei Zhang1
1School of Management, Chongqing University of Technology, Chongqing, 400054, China.
Heliyon
|June 6, 2024
Summary
Optimizing territorial space utilization is crucial for sustainable development. This study reveals that in the Chengdu-Chongqing urban agglomeration, urban spatial utilization efficiency lags behind rural areas, with a new model better capturing regional development correlations.
Area of Science:
- Urban and Regional Planning
- Sustainable Development Studies
- Spatial Economics
Background:
- Global urbanization necessitates understanding territorial space utilization efficiency for balanced urban-rural development.
- City clusters are key to future urban development, requiring analysis of spatial utilization patterns.
- Existing models may not fully capture the complex interactions in territorial space utilization.
Purpose of the Study:
- To explore urban and rural space utilization efficiency (URSUE) in the Chengdu-Chongqing urban agglomeration (CCEC).
- To analyze URSUE using the coupling coordination degree (CCD) perspective.
- To introduce and apply a Local and Tele-coupling coordination (LTCCD) model accounting for remote interactions.
Main Methods:
- Comparative analysis of urban and rural spatial utilization efficiency.
- Application of the coupling coordination degree (CCD) model.
- Development and implementation of the Local and Tele-coupling coordination (LTCCD) model to assess interactive development.
Main Results:
- Economically developed cities in CCEC show urban spatial utilization efficiency lagging behind rural areas.
- The LTCCD model indicates higher coordination in the geographic center regions.
- Economic core cities exhibit higher LTCCD compared to their CCD, particularly Chengdu City, highlighting spatial spillover effects.
Conclusions:
- The LTCCD model provides a more comprehensive assessment of territorial space utilization by considering regional development correlations and spatial spillovers.
- Findings offer insights into urban-rural spatial allocation challenges within urban agglomerations.
- The study provides guidance for territorial space utilization planning in urban agglomerations aiming for sustainable development.
Related Concept Videos
02:12Short-distance Transport of Resources
15.9K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
15.9K
01:23Maximum Power Flow and Line Loadability
107
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
107
01:21Distributed Loads: Problem Solving
642
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
642
01:23Relation Between the Distributed Load and Shear
630
Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
630
01:19Distributed Loads
529
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
529
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
43
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
43