原文传递
Combining California Household Travel Survey Data with Harvested Social Media Information to Form a Self-Validating Statewide Origin-Destination Travel Prediction Method
| 题名： | Combining California Household Travel Survey Data with Harvested Social Media Information to Form a Self-Validating Statewide Origin-Destination Travel Prediction Method |
| 作者： | Goulias, K.; Le, J. H. |
| 关键词： | Travel behavior##Travel patterns##California Household Travel Survey records (CHTS)##California Statewide Travel Demand Model (CSTDM)##Policy changes##Social media##Households## |
| 摘要： | Longitudinal data of persons and households is the best source of travel behavior information for assessing policy changes. However, this type of data is rarely available and difficult to collect due to administrative barriers and technical issues in survey design. Another empirical option which would allow estimation of induced demand is tested in this project. Data from multiple sources are used to produce a statewide inventory of travel patterns and an observatory to do this repeatedly for many years in the future. In order to combine social media harvested data with the California Household Travel Survey and data in the statewide travel model, we developed a step-wise conversion procedure including a Twitter trip extraction algorithm, a spatial aggregation technique, and statistical models to study the correlation among different databases. As a result, we were able to reproduce a list of Twitter trips, a trip generation table at the block group level, and an Origin-Destination matrix. We compared the list of Twitter trips with California Household Travel Survey records (CHTS), the trip generation table with synthetically generated population, and the OD matrix with California Statewide Travel Demand Model output. Twitter trips have longer distances and durations than CHTS trips, and there are not significant differences between weekday and weekend, and weekday and Thanksgiving day. In the comparison with synthetic population, we found positive correlation between Twitter trips and walking, bicycling, and single occupancy vehicle trips in both the total number of trips and sum of the trip lengths in block groups. |
| 总页数： | 76 |
| 报告类型： | 科技报告 |
相关文献
- California Department of Transportation 2000-2001 California Statewide Household Travel Survey Final Report (June 2002).
- Travel Demand Forecasting 2015: Volume 1. Transportation Research Record: Journal of the Transportation Research Board, No. 2493.
- Travel Demand Forecasting 2014: Volume 2. Transportation Research Record: Journal of the Transportation Research Board, No. 2430
- Travel Demand Forecasting 2014: Volume 2. Transportation Research Record: Journal of the Transportation Research Board, No. 2430.
- Travel Behavior Analysis with Social Media Data and Smartphone GPS Data.
- Innovative Data Travel Collection, Recommendations
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