Application of Participatory Geographic Information Systems in Land Use Planning
Deadline for manuscript submissions: 31 May 2024 | Viewed by 541
Interests: geographic information science; spatial analysis; R (programming language); healthy urban living
Interests: sustainable land planning; land consumption; land use change; spatial analysis; GIS; remote sensing
Special Issues, Collections and Topics in MDPI journals
Participatory GIS (PGIS) is a valuable tool to bridge space and citizens. It facilitates spatial data collection by allowing stakeholders and local communities to share their knowledge and perceptions. This engagement can further lead to community-based decision making for common problems promoting local spatial knowledge.
PGIS projects employ a wide range of approaches, including mental mapping, participatory sketch mapping, and participatory three-dimensional modelling. These strategies are supported by tools such as Global Positioning System (GPS), aerial photographs, remotely sensed data, photography, video etc. In addition, the availability of high-quality digital maps and imagery, which can be coupled with application programming interfaces (API) and interoperable software, offers high-technology synergy options for PGIS.
The repertoire of PGIS applications is rich and applied in various domains, for instance, tourism development, environmental health, climate change, spatial planning, marine spatial planning, criminology etc. A significant application is in Urban Land use planning, where PGIS can be considered a planning support system. PGIS allows the dissemination of information about the intentions of local authorities and investigates people’s opinions on the process. This interactive planning can help to achieve safe and healthy living while at the same time protecting the environment, allowing economic development and developing appropriate infrastructures.
So, the application of PGIS in urban land use planning can contribute significantly to making cities for people by deciphering pragmatic needs and problems.
Dr. Kalliopi Kyriakou
Dr. Francesco Zullo
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- land use planning
- urban areas
- spatial knowledge
- community-based decision making
- indicators engineering
- computational planning