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Commuting analysis in the Seoul metropolitan statistical area

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Frame of Image s, geographic classification is very
Commuting Analysis in the Seoul Metropolitan Statistical Area
important, which defines the spatial commuting boundary of a city. Thus, the Metropolitan Statistical Areas(MSAs) is used in this paper. It was defined by cross-commuting rates, population, and population density, which is quite similar to the criteria of a Standard Metropolitan Statistical Areas(SMSAs) in the United States. Then, the commuting inflows and outflows are considered using In-Out tabulation(often called origin/destination). From the In-Out tabulation matrix, the business and resident areas were able to be classified. Accordingly, the method of commuting is inspected across regions to see any potentially spatial constraint. For example, whether or not more people would use public transportation in the central business districts. This analysis in commuting behavior would be a great potential information source for regional development policies for suburban areas.
1) Global Urban Indicators of United Nations Centre for Human Settlements
14
KIET Industrial Economic Review
2. Literature Review
Most researches on commuting patterns in Korea have been based on administrative districts. Lee and McDonald(2003)2) investigated commuting patterns in Seoul using a 2% public sample of the Korean Population and Housing Census in 1995. The authors tried to show the commuting patterns and explain the factors of commuting time from individual characteristics such as gender, house own


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Title Commuting analysis in the Seoul metropolitan statistical area
Similar Titles
Material Type Reports
Author(English)

Kim, Dongsoo

Publisher

[Seoul]:Korea Institute for Industrial Economics & Trade

Date 2009
Journal Title; Vol./Issue KIET Industrial Economic Review(Current issues):vol. 14(no. 2)
Pages 12
Subject Country South Korea(Asia and Pacific)
Language English
File Type Documents
Original Format pdf
Subject Territorial Development < Transport/Logistics
Holding KIET; KDI School

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