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Travel patterns analysis of urban residents using Automated Fare Collection System
While Automated Fare Collection System is widely used in many cities all over the world, large amount of swiping card data has been recorded. By using the data, this paper proposed a novel method to recognize passenger flow direction to understand the dynamics of the residents' daily mobility patterns in urban city, which contributes to the planning and management of urban facilities and services. The method classifies subway stations into three kinds based on the land properties around the station and recognizes the passenger flow directions in peak hours. In the final part of paper, the travel patterns in Beijing are recognized, along with a further analysis.
Travel patterns analysis of urban residents using Automated Fare Collection System
While Automated Fare Collection System is widely used in many cities all over the world, large amount of swiping card data has been recorded. By using the data, this paper proposed a novel method to recognize passenger flow direction to understand the dynamics of the residents' daily mobility patterns in urban city, which contributes to the planning and management of urban facilities and services. The method classifies subway stations into three kinds based on the land properties around the station and recognizes the passenger flow directions in peak hours. In the final part of paper, the travel patterns in Beijing are recognized, along with a further analysis.
Travel patterns analysis of urban residents using Automated Fare Collection System
Man Li, (author) / Bowen Du, (author) / Jian Huang, (author)
2012-11-01
3450985 byte
Conference paper
Electronic Resource
English
Travel patterns of urban residents
Engineering Index Backfile | 1967
|IEEE | 2001
|TIBKAT | 1970
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|British Library Conference Proceedings | 2001
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