OpenStreetMap (OSM) celebrates its 20th anniversary!
Since its inception on August 9, 2004, OSM has grown into a global community-driven mapping resource, with over 10 million contributors worldwide. In Indonesia, the OSM community is also thriving, with more than 70,000 contributors and a growing user base. Over the past 20 years, OSM has made a significant impact, providing accurate, up-to-date, and quality data for humanitarian action, disaster response, climate change, and sustainable development.
At this moment, POI (Perkumpulan OpenStreetMap Indonesia) would like to invite all OSM contributors and volunteers in Indonesia to compete in creating birthday greetings for OSM to show the great benefits that OSM has provided. Let’s celebrate this achievement by increasing our contributions to benefit the community more significantly.
Objective
- To encourage mappers to express their appreciation and share what OSM means to them or their community.
- To promote creative use of OSM data and open-source applications.
- To increase awareness and engagement in using OSM data and open-source applications within the OSM community in Indonesia.
Category
- Reels Competition: Create a short video (Reel) of birthday greetings for OSM.
- LinkedIn Posts: Create a LinkedIn post about creating a thematic map using OSM data (must include data from OSM and the use of open-source applications).
Timeline
- Opening: 1 August 2024
- Competition period: 2 – 22 August 2024
- Closing: 23 August 2024
- Announcement: 30 August 2024
The Winner
1st Winner: OPTIMAL LOCATION MAP FOR PUBLIC ELECTRIC VEHICLE CHARGING STATIONS IN BANDUNG CITY
Using Multi-Criteria Analysis Utilizing Open Street Map Infrastructure and Population Data from BPS
To support Indonesia’s 2060 Net Zero Emission Commitment, reducing carbon emissions from fossil-fueled vehicles is a priority, one of which is by encouraging the use of more environmentally friendly electric vehicles. Along with the increasing use of electric vehicles, the need for Public Electric Vehicle Charging Stations (SPKLU) is also increasing.
This map shows the optimal areas for SPKLU in Bandung City, using multi-criteria analysis utilizing data from Open Street Map and the Central Statistics Agency processed using proximity tools and the QuickOSM plugin from QGIS software. The optimal SPKLU areas are divided into three types:
- Shared-residential SPKLU Type (Close to residence): Determined based on parking area, distribution of street lights, population density, distance from residence, and distance from existing SPKLU.
- En-route SPKLU Type (on the route): Utilizing road network data, distribution of street lights, parking areas, and distance from existing SPKLU.
- Destination Type SPKLU (Close to user destination): Using parameters of parking area, street lights, public facilities, distance from existing SPKLU, and number of people traveling per sub-district.
Previous research shows that electric vehicle users tend to choose SPKLU in parking areas, so parking lots in optimal areas are ideal locations for SPKLU. The use of street light poles or electricity poles as SPKLU is also being developed, making the distribution of street lights in optimal areas a potential alternative.
This analysis supports Sustainable Development Goals point 7 (Affordable and Clean Energy) and point 11 (Sustainable Cities and Communities), and also enlivens the 20th anniversary of Open Street Map, with the hope that OSM will continue to contribute to the development of geospatial information.

2nd Winner: Identify Land Price with Transportation Facilities & Health Facilities
This map utilizes data from OpenStreetMap (OSM), where I try to collaborate data on the distribution of transportation, health facilities, and land prices. Jakarta, as the capital city of Indonesia, has land price dynamics that are influenced by accessibility to transportation and health facilities. The purpose of this map visualization is to provide a clear picture of the relationship between the distribution of transportation and health facilities and land prices in Jakarta. Using OSM data, transportation facility points such as train stations, bus stops, and terminals, as well as health facilities such as hospitals, clinics, and community health centers are mapped. This map highlights areas in Jakarta that show the relationship between land prices and public facilities, especially in dense urban areas.
Analysis results:
- Concentration of Facilities in Expensive Areas: Transportation and health facilities tend to be concentrated in areas with medium to high land prices, especially in central Jakarta. This suggests that areas with good accessibility tend to have higher land values.
- Accessibility Affects Land Prices: Areas with good transportation access have higher land prices, indicating that accessibility is an important factor in determining land values in Jakarta.
- Inequality of Access to Facilities: Areas with low land prices have fewer public facilities, indicating inequality of access that can be a focus for improvement in city planning.

3rd Winner: Urban Transportation Coverage Area in Yogyakarta
