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With the rapid advance of location-based services (LBS) and online map services, it is now more feasible than before to collect the geo-referenced individual level data. However, privacy is always an issue whenever personal location is traced and recorded. This paper proposes a reactive location-based service to collect and process individual location data by different privacy policies. The reactive LBS provides user with an active pull mode to collect his/her location information. With different privacy policies, the user can enter his/her current address manually to the server or automatically generated by the LBS location provider. In order to gain the accurate reconstruction of individuals' activity-travel patterns with considerable space-time details, the LBS server invokes an online map service to geo-reference the location data and to derive the route between locations. In this paper, a household's daily activity survey scenario is showed in Beijing city.
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Stored only when both papers are in the corpus — 6 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.