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Comparing Community Detection Algorithms in Transport Networks via Points of Interest
11 references·8 citing·34 second hop
Comparing Community Detection Algorithms in Transport Networks via Points of Interest (2018)Comparing Community Detection Algorithms …Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Measuring variability of mobility patterns from multiday smart-card data (2015)Measuring variability of mobi…Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Inferring trip purposes and u…Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong (2014)Towards a Comparative Science…Predicting commuter flows in spatial networks using a radiation model based on temporal ranges (2014)Predicting commuter flows in …Detecting the dynamics of urban structure through spatial network analysis (2014)Detecting the dynamics of urb…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…A universal model for mobility and migration patterns (2012)A universal model for mobilit…Urban computing with taxicabs (2011)Urban computing with taxicabsRevealing travel patterns and city structure with taxi trip dataRevealing travel patterns and…Quantifying Administrative and Functional Border Effects on Commuting and Non-Commuting Flows: A Case Study of the Shanghai-Suzhou-Jiaxing Area (2025)Quantifying Administrative an…Exploring dynamic urban mobility patterns from traffic flow data using community detection (2024)Exploring dynamic urban mobil…Covid-19 Pandemic’s Enduring Impact on Urban Mobility: The Case of Free-Floating Bike Sharing in Padova, Italy (2024)Covid-19 Pandemic’s Enduring …Multi-scale cross-city community detection of urban agglomeration using signaling big data (2023)Multi-scale cross-city commun…Identifying sinks and sources of human flows: A new approach to characterizing urban structures (2023)Identifying sinks and sources…A Spatio-Temporal Co-Clustering Framework for Discovering Mobility Patterns: A Study of Manhattan Taxi Data (2021)A Spatio-Temporal Co-Clusteri…Characterization of Public Transit Mobility Patterns of Different Economic Classes (2020)Characterization of Public Tr…The temporal geographically-explicit network of public transport in Changchun City, Northeast China (2019)The temporal geographically-e…Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data (2018)Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China (2020)How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics (2021)The scaling laws of human travel (2006)Growth, innovation, scaling, and the pace of life in cities (2007)A Machine Learning Approach to Modeling Human Migration (2018)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Urban Human Mobility (2019)Limits of Predictability in Human Mobility (2010)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Deciphering the spatial structure of China's megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making (2018)The Geography of Transport Systems (2020)Big data and analytics in hospitality and tourism: a systematic literature review (2021)Reality mining: sensing complex social systems (2005)Understanding intra-urban trip patterns from taxi trajectory data (2012)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Central Places in Southern Germany (1967)Difference of urban development in China from the perspective of passenger transport around Spring Festival (2017)Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage (2018)Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations (2018)Future directions in human mobility science (2023)Geo-located Twitter as proxy for global mobility patterns (2014)A survey of results on mobile phone datasets analysis (2015)Human mobility: Models and applications (2018)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)Uncovering urban human mobility from large scale taxi GPS data (2015)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)
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References

  • 2012A universal model for mobility and migration patterns1,509 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2011Urban computing with taxicabs529 cited
  • 2014Detecting the dynamics of urban structure through spatial network analysis523 cited
  • 2015Revealing travel patterns and city structure with taxi trip data408 cited
  • 2015Inferring trip purposes and uncovering travel patterns from taxi trajectory data254 cited
  • n.d.Revealing travel patterns and city structure with taxi trip data246 cited
  • 2014Predicting commuter flows in spatial networks using a radiation model based on temporal ranges177 cited
  • 2015Measuring variability of mobility patterns from multiday smart-card data131 cited
  • 2014Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong100 cited

Cited by

  • 2023Multi-scale cross-city community detection of urban agglomeration using signaling big data22 cited
  • 2024Exploring dynamic urban mobility patterns from traffic flow data using community detection15 cited
  • 2021A Spatio-Temporal Co-Clustering Framework for Discovering Mobility Patterns: A Study of Manhattan Taxi Data

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14 cited
  • 2019The temporal geographically-explicit network of public transport in Changchun City, Northeast China11 cited
  • 2023Identifying sinks and sources of human flows: A new approach to characterizing urban structures9 cited
  • 2020Characterization of Public Transit Mobility Patterns of Different Economic Classes6 cited
  • 2025Quantifying Administrative and Functional Border Effects on Commuting and Non-Commuting Flows: A Case Study of the Shanghai-Suzhou-Jiaxing Area3 cited
  • 2024Covid-19 Pandemic’s Enduring Impact on Urban Mobility: The Case of Free-Floating Bike Sharing in Padova, Italy3 cited