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Semiautomatic Imputation of Activity Travel Diaries

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References

2001Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data394 cited
2005A Trip Reconstruction Tool for GPS-based Personal Travel Surveys161 cited
2004Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information141 cited
2009An automated GPS-based prompted recall survey with learning algorithms119 cited

Cited by

2016Comprehensive Review of Travel Behavior and Mobility Pattern Studies That Used Mobile Phone Data54 cited
2014Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys48 cited
2016Multimode trip information detection using personal trajectory data33 cited
2018Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning techniques30 cited
2014Sequence Alignment Analysis of Variability in Activity Travel Patterns through 8 Weeks of Diary Data30 cited
2015Detecting activity type from GPS traces using spatial and temporal information30 cited
2019Travel mode imputation using GPS and accelerometer data from a multi-day travel survey27 cited
2012GPS-Based Household Interview Survey for the Cincinnati, Ohio Region27 cited
2023A novel one-stage approach for pointwise transportation mode identification inspired by point cloud processing

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22 cited

2015The Challenge of Obtaining Ground Truth for GPS Processing22 cited

2014Travel Behavior Characterization Using Raw Accelerometer Data Collected from Smartphones21 cited

2017Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data21 cited

2010Accounting for similarities between alternatives in discrete choice models based on high-resolution observations of transport behaviour20 cited

2014Extracting Activity-travel Diaries from GPS Data: Towards Integrated Semi-automatic Imputation19 cited

2014Accounting for Heterogeneity in Travel Episode Satisfaction Using a Random Parameters Panel Effects Regression Model14 cited

2015A Method of Traffic Travel Status Segmentation Based on Position Trajectories12 cited