Grab continues to put unwavering effort into enhancing the quality of OpenStreetMap data in South-East Asia, leveraging abundant local resources and dedicated country-specific mapping teams. The latest development in this ambitious venture is the forthcoming addition of a real-time incident reporting feature. Here, Grab harnesses reports from driver partners to fine-tune the map data further.
Although we are only at the inception of this initiative, we’re already receiving a significant number of reports addressing the “Turn Restriction”, “One-way”, “Gate Closed”, and “Incorrect Street Name” related map data discrepancies. These reports will pinpoint the exact or nearby location of the reported issue, as relayed by drivers in real-time or when taking detours, along with the reporting date. So, we are using our location resource to verify these and fix the map data issue in OpenStreetMap using available resources.
We believe that this data holds immense potential if harnessed collectively through community participation, paving the way to a comprehensive solution. On this note, in the future, Grab aims to make accessible the reported data for review by the community.
Grab is going to open real-time incident reports to the community to fix the map data issue on OpenStreetMap.
Advances in weather forecasting and climate science now enable to act before hazards strike rather than investing primarily in humanitarian response after disasters happen. These anticipatory approaches enable more people to receive needed assistance ahead of predictable shocks. Anticipatory action allows humanitarians and affected communities to make informed decisions ahead of a humanitarian crisis – saving time and money; preventing displacement, disease, loss of livelihood; and preserving the dignity of those affected. The availability of accurate information is an integral part in the anticipatory action to take proper decisions within a short lead time period. Disasters has a spatial dimension too. Hence, an integrating spatial dimension in to the data and information is a must to make effective and efficient decisions during humanitarian action. Sri Lanka Anticipatory Action for Disaster Mitigation Project integrated Open Street Mapping tool to create a spatial database. This is prepared with the support of relevant stakeholders. This has enabled to analysis of spatial distribution of vulnerable households across the project locations. This helped decision makers to mobilize more resources to the needy areas during humanitarian action.
Key words: Anticipatory Action, Open Mapping, Data and Information, Resource Mobilization
This is a collaborative workshop where we can bring in a room different OSM community representatives and partners from disaster agencies, CSOs, humanitarian orgs, businesses, etc and connect them with one another. This is an opportunity for partners to understand better the OSM community and vice versa. Hopefully, this workshop can produce more collaboration between the private and the OSM community
Strengthening Resilience through Mapping Emergency Response Routes and Health Care Facilities
Chimi Dema and Nusrat Jahan Nilima
From Crisis to Resilience: Geospatial Solutions for Climate Change and Disaster Resilience in the HKH region
Sameera Noori and Dilshad Bano
We Can Show and We Can Tell: Narratives of Mapping Local and Indigenous Knowledge with Community and Youths in Lower Eastern Himalayas Harshit Sosan Lakra
In the interconnected world, modern technologies can potentially revolutionize how we tackle and address crucial issues. The Internet of Things (IoT) technologies are one of the emerging innovations, a network of linked devices that exchange and share data that plays a crucial role in bolstering disaster resilience by providing real-time data collection, analysis, improving response coordination, and enabling more informed decision-making.
The University of the Philippines Resilience Institute, in partnership with the local government of Quezon City, Philippines, has embarked on an ambitious project to incorporate an IoT system for rain and flood monitoring, striving to improve emergency preparedness and response for both the public sector and government. IoT provides unprecedented precision and timeliness in tracking and analyzing essential data regarding precipitation and flooding scenarios, making it a powerful tool to address the damages caused by disasters brought by floods. These events are associated with significant loss of life, property destruction, and community financial disruption. Traditional means of monitoring weather patterns and anticipating floods have limitations; however, IoT can revolutionize this process. The data collected by IoT devices can be analyzed to improve disaster preparedness and response strategies. This helps communities learn from past events and continuously refine their approaches.
Overture Maps is a new open data initiative by a consortium of mapping companies – many of which are also involved in OSM. For OSM mappers and data users, Overture might seem like a competing project towards the same goal – a free and complete global geo dataset.
Overture released its first datasets in Summer 2023, let’s take a look at their data! I’m a long-time developer of OSM tools and an outsider to Overture, and I’ll give my perspective on the project’s potential:
* Putting Overture data on a map using FOSS tools – Tippecanoe, PMTiles, and Planetiler
* Overture themes and tags vs. OSM
* Differences and similarities in contribution models + licensing
* Deep dive on state-of-the-art tools for processing Overture/ OSM + how OSM might adopt efficient storage formats like Parquet
* Using Overture as a complement to improve OSM