arXiv (All)
open access
Deciphering Delivery Mobility: A City-Scale, Path-Reconstructed Trajectory Dataset of Instant Delivery Riders
The rapid expansion of the on-demand economy has profoundly reshaped urban mobility and logistics, yet open data linking multi-stop delivery task sequences with route geometry remain scarce. Here, we present a city-scale, path-reconstructed route dataset for instant-delivery tasks in Beijing, built
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit#147002
- Through Space to Mars; Or, the Longest Journey on Record#34151
- Impacts of vehicle restrictions on urban traffic speeds and transit ridership: an empirical analysis using high-frequency data#372409
- Observation and Reflection of Neighborhood and Community 2026: Observation and Reflection of Transportation Needs#169107
- Off the Normal Path: Learning Spatial Density Models of Node Mobility#684189
Record · ID 925798
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive