---
title: Trip Misreporting in Household Travel Survey
url: https://www.ml-quant.com/papers/repec/eee-transa-v-182-y-2024-i-c-s0965856424000636/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:transa:v:182:y:2024:i:c:s0965856424000636
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0965856424000636%3Bh%3Drepec%3Aeee%3Atransa%3Av%3A182%3Ay%3A2024%3Ai%3Ac%3As0965856424000636
featured: 2024-04-10
citations: unknown
topic: Other
---


# Trip Misreporting in Household Travel Survey

The study uses a data-driven method to detect trip misreporting in household travel surveys in Suzhou, China, by incorporating mobile phone signaling data, showing that 23% of total trips were not recorded due to misreporting.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0965856424000636%3Bh%3Drepec%3Aeee%3Atransa%3Av%3A182%3Ay%3A2024%3Ai%3Ac%3As0965856424000636
- Identifier: RePEc:eee:transa:v:182:y:2024:i:c:s0965856424000636
- Released: 2024-04-10
- First featured: Quant Letter No. 44 (2024-04-10): https://www.ml-quant.com/issues/2024-04-10/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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