A GPS-based user-verified shipment survey method to supplement the commodity flow survey: survey design, platform, and case study

Conventional shipment data collection methods are limited due to intense labor, and lack of details on shipment paths and stops. In this view, we develop an innovative shipment survey methodology using Future Mobility Sensing (FMS)—Freight to collect shipment data at path-based origin–destination le...

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Veröffentlicht in:	Transportation (Dordrecht) Jg. 52; H. 3; S. 923 - 954
Hauptverfasser:	Jing, Peiyu, Guan, Jinping, Jeong, Kyungsoo, You, Linlin, Cheah, Lynette, Zhao, Fang, Ben-Akiva, Moshe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2025 Springer Nature B.V
Schlagworte:	Algorithms Autobiographical literature Business information Case studies Commodities Data analysis Data collection Data processing Decision making Diaries Economic Geography Economics Economics and Finance Engineering Economics Global positioning systems GPS Human-computer interaction Inference Information Innovation/Technology Management Interfaces Internet Logistics Machine learning Marketing Mobility Organization Organizational effectiveness Polls & surveys Real time Regional/Spatial Science Registration Shipments Shipping industry Spatial data Supplements Surveys Tracking Tracking devices Travel User interfaces Verification Visualization Commodity flow survey Machine learning Shipment survey Activity inference algorithm GPS tracking Stop detection algorithm Mode detection algorithm
ISSN:	0049-4488, 1572-9435
Online-Zugang:	Volltext
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