Building hyperlocal GrabMaps

Summary: This article discusses the integration of hyperlocal data in GrabMaps, a mapping solution for Southeast Asia. Hyperlocal data is obtained from local knowledge and is used to provide more accurate and localized information in Grab's services.

Introduction to Southeast Asia's dynamic market

Summary: Southeast Asia is a unique market that requires specific solutions tailored to its characteristics. One of these solutions is the integration of hyperlocal data in GrabMaps, which allows for more localized and accurate information.

The process of converting data for GrabMaps

Summary: The first step in the process is to download the .pbf file for Asia from geofabrick.de, which contains all available data on OpenStreetMap (OSM). This file is then converted into Parquet format using a Parquetizer, enabling easier processing and analysis of the data.

Identifying and inputting hyperlocal data in GrabMaps

Summary: Once the data is converted, GrabMaps identifies and inputs hyperlocal data, which is obtained from the local knowledge of Grab's map team. This data is then delivered to Grab's downstream services, providing a consolidated and localized view.

Benefits of hyperlocal GrabMaps

Summary: GrabNav, a turn-by-turn navigation tool available on the Grab driver app, is one example of a Grab product that benefits from hyperlocal data. This data includes details such as road localization, language spoken in the area, driving side, speed limits, and intersection links. These features allow for more accurate navigation and pricing, benefiting both Grab's driver-partners and passengers.

Conclusion and invitation to join Grab

Summary: Grab is the leading superapp platform in Southeast Asia, offering a wide range of services to consumers. By integrating hyperlocal data in GrabMaps, Grab is able to provide more accurate and localized information, enhancing the user experience. Those interested in joining Grab are invited to explore opportunities within the company.