The insights from vehicle-based crowdsourcing for HD maps can be applied to other domains by adapting the incentive mechanisms and game-theoretic models to suit the specific requirements of urban planning or environmental monitoring initiatives. For urban planning, similar dual-role incentive mechanisms can be designed to encourage participation from city residents or stakeholders who contribute data for infrastructure development, traffic management, or public services optimization. By considering the trade-offs between data freshness, coverage, and cost, urban planning projects can benefit from more comprehensive and up-to-date information.
In the context of environmental monitoring, the concept of trajectory-dependent utility and age of information can be leveraged to incentivize individuals or organizations to collect and share environmental data. By incorporating personalized incentives based on the relevance of data to specific locations or environmental factors, crowdsourcing efforts can be tailored to address critical issues such as air quality monitoring, biodiversity conservation, or climate change mitigation. Additionally, the game-theoretic approach can help optimize resource allocation and data collection strategies to maximize the overall impact of environmental monitoring initiatives.