Bringing Sectors Together in Da Nang, Vietnam: Participatory Systems Mapping
Thi Kinh Kieu1, Karen Grattan2, Bailey Goldman2
1The University of Danang, University of Science and Education, Da Nang, Vietnam. ktkinh@ued.udn.vn.
Summary
Multi-sector collaboration is key for smart city goals in Da Nang. Investing in IT, participation, and responsive policy can overcome barriers to effective urban development.
Area of Science:
- Urban Planning
- Public Health Systems
- Community Development
Background:
- The Building Healthy Cities (BHC) initiative in Da Nang, Vietnam, involved 108 stakeholders from 2019-2021.
- Qualitative data were collected through workshops and town halls to inform systems mapping.
Purpose of the Study:
- To identify barriers and leverage points for achieving smart and livable city goals in Da Nang.
- To develop systems maps illustrating multi-sectoral collaboration dynamics.
Main Methods:
- Qualitative data synthesis from workshops and town halls.
- Development of systems maps based on stakeholder input and BHC activities.
- Identification of key patterns in management quality, leadership, workforce capacity, and community engagement.
Main Results:
- Low collaboration between citizens, NGOs, and the private sector hinders effective policy and program impact.
- Four key leverage points were identified: investing at all levels, improving information technology, increasing participation and feedback, and creating responsive policy.
- Systems thinking skills will be embedded in the local workforce through training.
Conclusions:
- Enhancing multi-sectoral and multi-level collaboration is crucial for Da Nang's smart and livable city objectives.
- Targeted interventions at identified leverage points can overcome participation barriers and improve policy outcomes.
- Capacity building in systems mapping will support future sustainable urban development efforts.
More Related Videos
Related Concept Videos
Levels of Use of a GIS
94
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...
94
Systematic Sampling Method
11.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
11.0K
Applications of GIS: Disaster Management and Emergency Response
145
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
145
pV-Diagrams
4.4K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.4K
Selected Data About Geographic Locations
65
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...
65
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
166
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
166


