详情

原文传递 Travel Behavior Analysis with Social Media Data and Smartphone GPS Data.

题名：	Travel Behavior Analysis with Social Media Data and Smartphone GPS Data.
作者：	Cui, Y.; He, Q.
关键词：	Travel Behavior Analysis, Smartphone GPS Data, Socio-demographics, Social Media Data, Travel Survey, Sampling Bias
摘要：	This project consists of two research components. The objective of the first component is to develop an approach to resample social media data in order to reduce biases and errors through estimation of socio-demographics. Several machine learning models are proposed for predicting demographics, including gender, age, ethnicity and education levels. Afterward, this study resamples social media data and compares the results with the 2009 California Household Travel Survey data. The resampled data shows comparable characteristics to the survey data. Moreover, since social media is a kind of long-term data, it shows several advantages in research over survey data. This research sheds light on tackling sampling bias issues when social media data is used for travel behavior analysis. The second study shapes a sustainable and long-term travel survey with 7-month low-frequency smartphone GPS data with imperfect activity information. The essential goal is to develop a daily synthetic trip chain simulator. This research develops a new probabilistic method to handle imperfect activity data, and three different levels of trip chain generation models are proposed. The first model handles only known activities, the second model treats all unknown activities as a single category, and the third one models each unknown location separately. These models are able to generate trip chains in different levels of details for activity-based.
报告类型：	科技报告