Abstract
Cities comprise various functional zones, including residential, educational, commercial zones, etc. It is important for urban planners to identify different functional zones and understand their spatial structure within the city in order to make better urban plans. In this chapter, we used 77,976,010 bus smart card records of Beijing City in one week in April 2008 and converted them into two-dimensional time series data of each bus platform, Then, through data mining and previous studies on citizens’ trip behavior, we established the DZoF (discovering zones of different functions) model based on SCD (smart card Data) and POIs (points of interest), and pooled the results at the TAZ (traffic analysis zone) level. The results suggested that DZoF model and cluster analysis based on dimension reduction and EM (expectation-maximization) algorithm can identify functional zones that well match the actual land uses in Beijing. The methodology in the present research can help urban planners and the public understand the complex urban spatial structure and contribute to the academia of urban geography and urban planning.
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Notes
- 1.
The data is from the 2012 Statistical Yearbook of Beijing (http://www.bjstats.gov.cn).
- 2.
The data is from the statistics on Beijing Transportation website (http://www.bjbus.com/).
- 3.
It is not the number of but platforms, but the sum of bus stops of all bus lines. A bus stop is the name of a platform in a bus line.
- 4.
Sina Micro-blog LBS Platform, officially opened in 2012 April, provides third party developers with free access to Sina location service. Its most outstanding part are the two functions that base on user and POI. Related interface based on user can allow users to obtain individual’s dynamic time line. and POI interface is based on a specific location (Http://open.weibo.com/).
- 5.
The data is from the urban planning institute of Beijing.
- 6.
The data is from the 2011 report of transportation development of Beijing.
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Long, Y., Shen, Z. (2015). Discovering Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing. In: Geospatial Analysis to Support Urban Planning in Beijing. GeoJournal Library, vol 116. Springer, Cham. https://doi.org/10.1007/978-3-319-19342-7_10
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DOI: https://doi.org/10.1007/978-3-319-19342-7_10
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