Combining smart card data and household travel survey to analyze jobs-housing relationships in Beijing

摘要

Location Based Services (LBS) provide a new perspective for spatiotemporallyanalyzing dynamic urban systems. Research has investigated urban dynamics usingGSM (Global System for Mobile Communications), GPS (Global Positioning System),SNS (Social Networking Services) and Wi-Fi techniques. However, less attentionhas been paid to the analysis of urban structure (especially commuting pattern)using smart card data (SCD), which are widely available in most cities.Additionally, ubiquitous LBS data, although providing rich spatial and temporalinformation, lacks rich information on the social dimension, which limits itsin-depth application. To bridge this gap, this paper combines bus SCD for aone-week period with a one-day household travel survey, as well as aparcel-level land use map to identify job-housing locations and commuting triproutes in Beijing. Two data forms (TRIP and PTD) are proposed, with PTD usedfor jobs-housing identification and TRIP used for commuting trip routeidentification. The results of the identification are aggregated in the busstop and traffic analysis zone (TAZ) scales, respectively. Particularly,commuting trips from three typical residential communities to six main businesszones are mapped and compared to analyze commuting patterns in Beijing. Theidentified commuting trips are validated on three levels by comparison withthose from the survey in terms of commuting time and distance, and the positivevalidation results prove the applicability of our approach. Our experiment, asa first step toward enriching LBS data using conventional survey and urban GISdata, can obtain solid identification results based on rules extracted fromexisting surveys or censuses.