Thursday, August 15, 2013

Travel Behavior, Self-formed Urban Communities, and Sociodemographic Characteristics

Following is the racial dot map of Chicago. 1 dot = 1 person

Following is a map of the identified community clusters based on urban trips reported in the 2007 Household Travel Survey data of Chicago using a modularity maximization algorithm (courtesy of Dirk Brockmann). Modularity is often used in optimization methods for detecting community structure in networks.

Qualitatively observing, there is somewhat a correlation between the two maps. It would be interesting to quantitatively explore that how sociodemographic factors affect the travel-based community structure in the Chicago region: understanding the relationship between travel behavior, community formation, and sociodemographic characteristics.

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