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Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city
16 references·16 citing·28 second hopsampled
Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city (2021)Big data for big issues: Revealing travel…Public transport trip purpose inference using smart card fare data (2018)Public transport trip purpose…Transport modelling in the age of big data (2017)Transport modelling in the ag…Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Spatio-Temporal Analysis of P…Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Analyzing year-to-year change…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Clustering Smart Card Data for Urban Mobility Analysis (2016)Clustering Smart Card Data fo…Mobilities of the periphery: Informality, access and social exclusion in the urban fringe in Colombia (2015)Mobilities of the periphery: …Measuring variability of mobility patterns from multiday smart-card data (2015)Measuring variability of mobi…Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…Passenger Segmentation Using Smart Card Data (2014)Passenger Segmentation Using …Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Detection of Activities of Pu…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …Transit fares and space-time accessibility: measuring inequalities in park accessibility for São Paulo favela residents using mobile phone and smart card data (2025)Transit fares and space-time …Personalised passenger information systems in public transport: a review and a 5-level personalisation taxonomy (2025)Personalised passenger inform…Trip Purpose Inference and Spatio-Temporal Characterization Based on Anonymized Trip Data: Empirical Study from Dockless Shared Bicycle Dataset in Xi’an, China (2024)Trip Purpose Inference and Sp…The non-linear effects of built environment on bus ridership of vulnerable people (2024)The non-linear effects of bui…Increasing the precision of public transit user activity location detection from smart card data analysis via spatial–temporal DBSCAN (2024)Increasing the precision of p…Gender, class and race uneven access to bike systems across five Brazilian cities (2024)Gender, class and race uneven…Aged and wheeled mobility in transit-oriented development: The capabilities approach (2024)Aged and wheeled mobility in …Activity-travel pattern inference based on multi-source big data (2024)Activity-travel pattern infer…The interactions between accessibility and crash risk from a social equity perspective: A case study at the Rotterdam-The Hague metropolitan region (2023)The interactions between acce…Research of Metro Stations with Varying Patterns of Ridership and Their Relationship with Built Environment, on the Example of Tianjin, China (2023)Research of Metro Stations wi…Examining regularity in vehicular traffic through Bluetooth scanner data: Is the daily commuter the regular road user? (2023)Examining regularity in vehic…Comparison of the tourist mobility patterns among demographic subgroups with mobile phone data: A case study of Chongqing, China (2023)Comparison of the tourist mob…Bus Line Shift Behaviour: Evidence of Influential Factors based on Smart Card Data (2023)Bus Line Shift Behaviour: Evi…An investigation into the impact of the built environment on the travel mobility gap using mobile phone data (2023)An investigation into the imp…Socio-Economic and Spatial Disparity of Bus Ridership Impacts in King County, Washington, During COVID-19 (2022)Socio-Economic and Spatial Di…Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle (2022)Identification of Urban Funct…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Observing the rhythms of daily life: A six-week travel diary (2002)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Property, Privacy, and Personal Data (2004)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban Spatial Structure (2010)Friendship and mobility (2011)Rethinking big data: A review on the data quality and usage issues (2015)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data (2019)Introduction: Habitual travel choice (2003)The potential of public transport smart card data (2005)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)Multiple Attribute Decision Making: Methods and Applications (1981)Lockdowned: Everyday mobility changes in response to COVID-19 (2020)The impacts of COVID-19 pandemic on public transit demand in the United States (2020)Measuring Regularity of Individual Travel Patterns (2017)Urban Human Mobility (2019)Transit OD matrix estimation using smartcard data: Recent developments and future research challenges (2021)Research on the influence of after-sales service quality factors on customer satisfaction (2020)Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations (2018)Exploring Individual Travel Patterns Across Private Car Trajectory Data (2019)Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus (2018)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Smart Card Data Mining of Public Transport Destination: A Literature Review (2018)
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References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2016Clustering Smart Card Data for Urban Mobility Analysis214 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 2014Passenger Segmentation Using Smart Card Data195 cited
  • 2017Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data191 cited
  • 2017Transport modelling in the age of big data183 cited
  • 2017Analyzing year-to-year changes in public transport passenger behaviour using smart card data182 cited
  • 2015Mobilities of the periphery: Informality, access and social exclusion in the urban fringe in Colombia176 cited
  • 2018Public transport trip purpose inference using smart card fare data160 cited
  • 2012Detection of Activities of Public Transport Users by Analyzing Smart Card Data

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148 cited
  • 2015Measuring variability of mobility patterns from multiday smart-card data131 cited
  • Cited by

    • 2024Aged and wheeled mobility in transit-oriented development: The capabilities approach29 cited
    • 2023An investigation into the impact of the built environment on the travel mobility gap using mobile phone data29 cited
    • 2024Activity-travel pattern inference based on multi-source big data23 cited
    • 2023Research of Metro Stations with Varying Patterns of Ridership and Their Relationship with Built Environment, on the Example of Tianjin, China21 cited
    • 2024The non-linear effects of built environment on bus ridership of vulnerable people20 cited
    • 2023Comparison of the tourist mobility patterns among demographic subgroups with mobile phone data: A case study of Chongqing, China15 cited
    • 2023Examining regularity in vehicular traffic through Bluetooth scanner data: Is the daily commuter the regular road user?12 cited
    • 2022Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle11 cited
    • 2024Gender, class and race uneven access to bike systems across five Brazilian cities8 cited
    • 2023The interactions between accessibility and crash risk from a social equity perspective: A case study at the Rotterdam-The Hague metropolitan region8 cited
    • 2024Increasing the precision of public transit user activity location detection from smart card data analysis via spatial–temporal DBSCAN7 cited
    • 2024Trip Purpose Inference and Spatio-Temporal Characterization Based on Anonymized Trip Data: Empirical Study from Dockless Shared Bicycle Dataset in Xi’an, China6 cited
    • 2025Personalised passenger information systems in public transport: a review and a 5-level personalisation taxonomy6 cited
    • 2025Transit fares and space-time accessibility: measuring inequalities in park accessibility for São Paulo favela residents using mobile phone and smart card data5 cited
    • 2023Bus Line Shift Behaviour: Evidence of Influential Factors based on Smart Card Data5 cited
    • 2022Socio-Economic and Spatial Disparity of Bus Ridership Impacts in King County, Washington, During COVID-195 cited