Understanding commuting patterns using transit smart card data
暂无分享,去创建一个
Yunpeng Wang | Xiaolei Ma | Yao-Jan Wu | Congcong Liu | Huimin Wen | Yao-Jan Wu | Xiaolei Ma | Congcong Liu | H. Wen | Yunpeng Wang
[1] Joo-Young Kim,et al. Travel behavior analysis using smart card data , 2016 .
[2] Haris N. Koutsopoulos,et al. Inferring patterns in the multi-week activity sequences of public transport users , 2016 .
[3] Le Minh Kieu,et al. A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data , 2015 .
[4] Le Minh Kieu,et al. Passenger Segmentation Using Smart Card Data , 2015, IEEE Transactions on Intelligent Transportation Systems.
[5] Enrique Frías-Martínez,et al. Uncovering the spatial structure of mobility networks , 2015, Nature Communications.
[6] Jiangping Zhou,et al. Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data , 2014 .
[7] Zoltán Toroczkai,et al. Predicting commuter flows in spatial networks using a radiation model based on temporal ranges , 2014, Nature Communications.
[8] Yasuo Asakura,et al. Behavioural data mining of transit smart card data: A data fusion approach , 2014 .
[9] E. Côme,et al. Understanding Passenger Patterns in Public Transit Through Smart Card and Socioeconomic Data: A case study in Rennes, France , 2014 .
[10] Xiaolei Ma,et al. Development of a Data-Driven Platform for Transit Performance Measures Using Smart Card and GPS Data , 2014 .
[11] Nathan Eagle,et al. Limits of Predictability in Commuting Flows in the Absence of Data for Calibration , 2014, Scientific Reports.
[12] M. Barthelemy,et al. How congestion shapes cities: from mobility patterns to scaling , 2014, Scientific Reports.
[13] Carlo Ratti,et al. Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data , 2013, PloS one.
[14] Robin Lovelace,et al. A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels , 2014 .
[15] Xiaolei Ma,et al. Mining smart card data for transit riders’ travel patterns , 2013 .
[16] Wei Wang,et al. Exploring the causal relationship between bicycle choice and trip chain pattern , 2013 .
[17] Dietmar Bauer,et al. Daily travel behavior: lessons from a week-long survey for the extraction of human mobility motifs related information , 2013, UrbComp '13.
[18] P. Zhao. The Impact of the Built Environment on Individual Workers’ Commuting Behavior in Beijing , 2013 .
[19] Meisy A. Ortega-Tong. Classification of London's public transport users using smart card data , 2013 .
[20] D. Ragland,et al. Bicycle commuting market analysis using attitudinal market segmentation approach , 2013 .
[21] Feng Chen,et al. Transit smart card data mining for passenger origin information extraction , 2012, Journal of Zhejiang University SCIENCE C.
[22] Shan Jiang,et al. Clustering daily patterns of human activities in the city , 2012, Data Mining and Knowledge Discovery.
[23] Catherine Morency,et al. Smart card data use in public transit: A literature review , 2011 .
[24] F. Witlox,et al. Commuting trips within tours: how is commuting related to land use? , 2011 .
[25] Michael A. P. Taylor,et al. Defining and understanding trip chaining behaviour , 2007 .
[26] Mathieu Charron. From Excess Commuting to Commuting Possibilities: More Extension to the Concept of Excess Commuting , 2007 .
[27] Bruno Agard,et al. Measuring transit use variability with smart-card data , 2007 .
[28] David M. Mount,et al. A Fast Implementation of the Isodata Clustering Algorithm , 2007, Int. J. Comput. Geom. Appl..
[29] Ching-Lai Hwang,et al. Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.
[30] Geoffrey H. Ball,et al. ISODATA, A NOVEL METHOD OF DATA ANALYSIS AND PATTERN CLASSIFICATION , 1965 .