Work

Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

Year: 2018

Type: conference-paper

Abstract: A relationship between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to be normalized into rates of visit and outlier data is prunned. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper.

Source: ITM Web of Conferences

DOI: 10.1051/itmconf/20181602001

Authors: Ha Yoon Song, Hwa Baek Kang

Institution: Hongik University

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

Funders: National Research Foundation, National Research Foundation of Korea

Award: G463019242