相关实验视频
Updated: Jul 7, 2025

12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
8.0K
参与性利益相关者管理的结构分析建模,以改善绿色空间:来自德黑兰大都市的证据
H Daneshyar1, S M Mirdamadi2, M Niknami3
1PhD Student in Agricultural Extension and Education, Department of Economic, Agricultural Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Brazilian journal of biology = Revista brasleira de biologia
|December 21, 2023
概括
利益相关者的参与是城市绿色空间增强的关键. 这项研究为德黑兰提出了一个模型,发现组织文化和变革参与显著改善了绿色空间.
科学领域:
- 城市规划和环境管理
- 公共管理与政策.
背景情况:
- 越来越多的利益相关者参与被认为是有效改善绿色空间的关键.
- 挑战在于开发实用方法,让利益相关者参与增强过程.
研究的目的:
- 为德黑兰大都会改善绿色空间提出参与性利益相关者管理模式.
- 确定影响利益相关方成功参与城市绿色空间开发的关键因素.
主要方法:
- 一项涉及德黑兰市政府190名绿色空间专家的定量研究.
- 通过面对面和现场采访收集的数据.
- 绿色空间的改善 (依赖变量) 通过规划,设计,实施和维护来衡量.
主要成果:
- 组织文化和参与组织变革被确定为重要的预测因素.
- 这些因素解释了参与式管理中约96%的变化.
- 绿色空间的67%的改善与这些参与性方面有关.
结论:
- 具有参与性的利益相关者管理模式,强调组织文化和变革,对改善绿色空间是有效的.
- 这些发现为德黑兰和类似的大都市的城市规划者和政策制定者提供了宝贵的见解.
- 实施促进参与组织变革的战略,可以使城市绿色空间得到大幅改善.
相关概念视频
Manipulation and Analysis
26
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
26
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
50
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...
50
Thematic Layering in GIS
38
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
38
Levels of Use of a GIS
52
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
52
Design Example: Alignment of a Road Line Using GIS
49
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
49
Selected Data About Geographic Locations
27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27

