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RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study
16 references·5 citing·49 second hop
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(1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Satisfaction with the commute: The role of travel mode choice, built environment and attitudes (2016)Applying a random forest method approach to model travel mode choice behavior (2018)Commuting and wellbeing: a critical overview of the literature with implications for policy and future research (2019)DEFINING SUPPLY CHAIN MANAGEMENT (2001)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)E-S-QUAL (2004)R&D internationalization and innovation: A systematic review, integrative framework and future research directions (2019)Saudi Journal of Business and Management Studies (2019)Conceptual Framework for the Strategic Management: A Literature Review—Descriptive (2020)Travel and the Built Environment: A Synthesis (2001)Correlation or causality between the built environment and travel behavior? 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Sample size requirements when using artificial neural networks for discrete choice analysis (2018)Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)A multidisciplinary perspective of big data in management research (2017)An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm (2020)Customer segmentation by web content mining (2021)RFM model customer segmentation based on hierarchical approach using FCA (2023)Mixed MNL models for discrete response (2000)Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Travel demand and the 3Ds: Density, diversity, and design (1997)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Accessibility and proximity effects of bus rapid transit on housing prices: Heterogeneity across price quantiles and space (2020)COVID-19 effects on property markets: The pandemic decreases the implicit price of metro accessibility (2022)COVID-19 moderates the association between to-metro and by-metro accessibility and house prices (2022)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)
this work references cited by second hop

References

  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2015Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility489 cited
  • 2017A comparative study of machine learning classifiers for modeling travel mode choice423 cited
  • 2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
  • 2016Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review386 cited
  • 2016The built environment and travel behavior in urban China: A literature review268 cited
  • 2020Accessibility to transit, by transit, and property prices: Spatially varying relationships251 cited
  • 2016Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands214 cited
  • 2018RFM ranking – An effective approach to customer segmentation214 cited
  • 2019RFM model for customer purchase behavior using K-Means algorithm210 cited
  • 2017LRFMP model for customer segmentation in the grocery retail industry: a case study113 cited
  • 2016Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis105 cited
  • 2020Factors influencing the acceptance and use of a bicycle sharing system: Applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT)100 cited

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  • 2018Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations99 cited
  • 2016Capturing the conditions that introduce systematic variation in bike-sharing travel behavior using data mining techniques93 cited
  • 2019How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China90 cited
  • Cited by

    • 2023Customer Segmentation Using K-Means Clustering Algorithm and RFM Model13 cited
    • 2025Improving customer retention in taxi industry using travel data analytics: A churn prediction study10 cited
    • 2023Analyzing demand reduction and recovery of major rail stations in Japan during COVID-19 using mobile spatial statistics9 cited
    • 2023Unravelling commuters' modal splitting behaviour in mass transportation service operation4 cited
    • 2025Rethinking dynamic interactions between commuting public transit modal share and land use patterns4 cited