Details:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Resource Type:
-
Geographical Coverage:
-
Edition:09/2017-12/2018
-
Corporate Publisher:
-
Abstract: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 socio-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.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
File Type:
Supporting Files
-
No Additional Files
More +