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Geospatial Analysis to Support Urban Planning in BeijingProfiling Underprivileged Residents with Mid-term Public Transit Smartcard Data of Beijing

Geospatial Analysis to Support Urban Planning in Beijing: Profiling Underprivileged Residents... [Mobility of economically underprivileged residents in China has seldom been well profiled due to privacy issue and the characteristics of Chinese opinions upon poverty. In this chapter, we identify and characterize underprivileged residents in Beijing using ubiquitous public transport smartcard transactions in 2008 and 2010, respectively. We regard these frequent bus/metro riders (FRs) in China, especially in Beijing, as economically underprivileged residents. Our argument is tested against (1) the household travel survey in 2010, (2) a small-scale survey in 2012, as well as (3) our interviews with local residents in Beijing. Cardholders’ job and residence locations are identified using Smart Card Data (SCD) in 2008 and 2010. Our analysis is restricted to cardholders that use the same cards in both years. We then classify all identified FRs into 20 groups by residence changes (change, no change), workplace changes (change, no change, finding a job, losing a job, and all-time unemployed) during 2008–2010 and housing place in 2010 (within the fourth ring road or not). The underprivileged degree of each FR is then evaluated using the 2014 SCD. To the best of our knowledge, this is one of the first studies for understanding long- or mid-term urban dynamics using immediate “big data”, and also for profiling underprivileged residents in Beijing in a fine-scale.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Geospatial Analysis to Support Urban Planning in BeijingProfiling Underprivileged Residents with Mid-term Public Transit Smartcard Data of Beijing

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References (49)

Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2015
ISBN
978-3-319-19341-0
Pages
169 –192
DOI
10.1007/978-3-319-19342-7_9
Publisher site
See Chapter on Publisher Site

Abstract

[Mobility of economically underprivileged residents in China has seldom been well profiled due to privacy issue and the characteristics of Chinese opinions upon poverty. In this chapter, we identify and characterize underprivileged residents in Beijing using ubiquitous public transport smartcard transactions in 2008 and 2010, respectively. We regard these frequent bus/metro riders (FRs) in China, especially in Beijing, as economically underprivileged residents. Our argument is tested against (1) the household travel survey in 2010, (2) a small-scale survey in 2012, as well as (3) our interviews with local residents in Beijing. Cardholders’ job and residence locations are identified using Smart Card Data (SCD) in 2008 and 2010. Our analysis is restricted to cardholders that use the same cards in both years. We then classify all identified FRs into 20 groups by residence changes (change, no change), workplace changes (change, no change, finding a job, losing a job, and all-time unemployed) during 2008–2010 and housing place in 2010 (within the fourth ring road or not). The underprivileged degree of each FR is then evaluated using the 2014 SCD. To the best of our knowledge, this is one of the first studies for understanding long- or mid-term urban dynamics using immediate “big data”, and also for profiling underprivileged residents in Beijing in a fine-scale.]

Published: May 14, 2015

Keywords: Urban poverty; Jobs-housing relationships; Commuting; Smartcard records; Beijing

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