A Clustering Refinement Approach for Revealing Urban Spatial Structure from Smart Card Data

[1]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .

[2]  David R. Bowes,et al.  Identifying the Impacts of Rail Transit Stations on Residential Property Values , 2001 .

[3]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[4]  Michael Batty,et al.  Revealing centrality in the spatial structure of cities from human activity patterns , 2017 .

[5]  G. W. Milligan,et al.  A Study of the Comparability of External Criteria for Hierarchical Cluster Analysis. , 1986, Multivariate behavioral research.

[6]  P. Moran The Interpretation of Statistical Maps , 1948 .

[7]  Susmita Datta,et al.  Comparisons and validation of statistical clustering techniques for microarray gene expression data , 2003, Bioinform..

[8]  C. Bouveyron,et al.  HDclassif: an R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data , 2012 .

[9]  R. Daniels,et al.  Explaining walking distance to public transport: The dominance of public transport supply , 2013 .

[10]  Xiaolei Ma,et al.  Mining smart card data for transit riders’ travel patterns , 2013 .

[11]  Dietmar Bauer,et al.  Quasi-Dynamic Estimation of OD Flows From Traffic Counts Without Prior OD Matrix , 2018, IEEE Transactions on Intelligent Transportation Systems.

[12]  Michael Batty,et al.  Detecting the dynamics of urban structure through spatial network analysis , 2014, Int. J. Geogr. Inf. Sci..

[13]  Camille Roth,et al.  Natural Scales in Geographical Patterns , 2017, Scientific Reports.

[14]  Malika Charrad,et al.  NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set , 2014 .

[15]  Catherine Morency,et al.  Smart card data use in public transit: A literature review , 2011 .

[16]  H. Bracey A Rural Component of Centrality Applied to Six Southern Counties in the United Kingdom , 1956 .

[17]  Cordelia Schmid,et al.  High-dimensional data clustering , 2006, Comput. Stat. Data Anal..

[18]  Guy N. Brock,et al.  clValid , an R package for cluster validation , 2008 .

[19]  Karel Martens,et al.  Revealing group travel behavior patterns with public transit smart card data , 2018 .

[20]  Joydeep Ghosh,et al.  Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..

[21]  Xiaohong Li,et al.  Impact evaluation of a mass transit fare change on demand and revenue utilizing smart card data , 2015 .

[22]  Nigel H. M. Wilson,et al.  Unified estimator for excess journey time under heterogeneous passenger incidence behavior using smartcard data , 2013 .

[23]  Yung-Hsiang Cheng,et al.  Perceived accessibility, mobility, and connectivity of public transportation systems , 2015 .

[24]  William M. Rand,et al.  Objective Criteria for the Evaluation of Clustering Methods , 1971 .

[25]  Yunpeng Wang,et al.  Understanding commuting patterns using transit smart card data , 2017 .

[26]  Jinwei Hao,et al.  The rise of big data on urban studies and planning practices in China: Review and open research issues , 2015 .

[27]  Sandro Vega-Pons,et al.  A Survey of Clustering Ensemble Algorithms , 2011, Int. J. Pattern Recognit. Artif. Intell..

[28]  Ka Yee Yeung,et al.  Validating clustering for gene expression data , 2001, Bioinform..

[29]  Gudmundur F. Ulfarsson,et al.  Analysis of light rail rider travel behavior: Impacts of individual, built environment, and crime characteristics on transit access , 2007 .

[30]  Lai Tu,et al.  Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems , 2016, IEEE Transactions on Intelligent Transportation Systems.

[31]  Soong Moon Kang,et al.  Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows , 2010, PloS one.

[32]  Hamid Parvin,et al.  Cluster ensemble selection based on a new cluster stability measure , 2014, Intell. Data Anal..

[33]  C. Mallows,et al.  A Method for Comparing Two Hierarchical Clusterings , 1983 .

[34]  Alan T. Murray A Coverage Model for Improving Public Transit System Accessibility and Expanding Access , 2003, Ann. Oper. Res..

[35]  Marcela Munizaga,et al.  Estimation of a disaggregate multimodal public transport Origin-Destination matrix from passive smartcard data from Santiago, Chile , 2012 .

[36]  Zhenliang Ma,et al.  Activity detection and transfer identification for public transit fare card data , 2015 .

[37]  Corinne Mulley,et al.  The short-term land value impacts of urban rail transit: Quantitative evidence from Sunderland, UK , 2007 .

[38]  M. Meilă Comparing clusterings---an information based distance , 2007 .

[39]  Michalis Vazirgiannis,et al.  On Clustering Validation Techniques , 2001, Journal of Intelligent Information Systems.

[40]  Peter White,et al.  The Potential of Public Transport Smart Card Data , 2005 .

[41]  T. Caliński,et al.  A dendrite method for cluster analysis , 1974 .

[42]  Youngihn Kho,et al.  GeoDa: An Introduction to Spatial Data Analysis , 2006 .

[43]  Liyuan Zhao,et al.  The impacts of rail transit on future urban land use development: A case study in Wuhan, China , 2019, Transport Policy.

[44]  Yong Gao,et al.  Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data , 2013, PloS one.

[45]  Robert Tibshirani,et al.  Estimating the number of clusters in a data set via the gap statistic , 2000 .

[46]  Tian Lan,et al.  Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies , 2014 .

[47]  L. Bertolini,et al.  Accessibility and Transit-Oriented Development in European metropolitan areas , 2015 .

[48]  Marcela Munizaga,et al.  Validating travel behavior estimated from smartcard data , 2013 .

[49]  Fan Yang,et al.  Exploring the diversity in cluster ensemble generation: Random sampling and random projection , 2014, Expert Syst. Appl..

[50]  Rui Xu,et al.  Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.

[51]  Jean-Claude Thill,et al.  Combining smart card data and household travel survey to analyze jobs-housing relationships in Beijing , 2013, Comput. Environ. Urban Syst..

[52]  Hans-Peter Kriegel,et al.  Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering , 2009, TKDD.