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Daily travel behavior
9 references·14 citing·39 second hop
Daily travel behavior (2013)Daily travel behaviorUnravelling daily human mobility motifs (2013)Unravelling daily human mobil…Understanding Road Usage Patterns in Urban Areas (2012)Understanding Road Usage Patt…Inferring land use from mobile phone activity (2012)Inferring land use from mobil…Inferring land use from mobile phone activity (2012)Inferring land use from mobil…Understanding individual human mobility patterns (2008)Understanding individual huma…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…Household travel surveys: Where are we going? (2006)Household travel surveys: Whe…Observing the rhythms of daily life: A six-week travel diary (2002)Observing the rhythms of dail…Micro-simulation of daily activity-travel patterns for travel demand forecasting (2000)Micro-simulation of daily act…Beyond the flexibility narrative of automobility: How regular are car users’ mobility patterns? (2025)Beyond the flexibility narrat…Identification and Classification of Bus and Subway Passenger Travel Patterns in Beijing Using Transit Smart Card Data (2023)Identification and Classifica…Epidemiological-survey-based multidimensional modeling for understanding daily mobility during the COVID-19 pandemic across urban-rural gradient in the Chinese mainland (2023)Epidemiological-survey-based …Characterizing urban lifestyle signatures using motif properties in network of places (2023)Characterizing urban lifestyl…A Design of Activity-Based Mobility Intervention (2023)A Design of Activity-Based Mo…Generating Activity-Based Mobility Plans from Trip-Based Models and Mobility Surveys (2022)Generating Activity-Based Mob…A tale of three cities: uncovering human-urban interactions with geographic-context aware social media data (2022)A tale of three cities: uncov…Revealing temporal stay patterns in human mobility using large‐scale mobile phone location data (2021)Revealing temporal stay patte…Characterizing People’s Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data (2021)Characterizing People’s Daily…Urban mobility and resilience: exploring Boston’s urban mobility network through twitter data (2020)Urban mobility and resilience…Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data (2019)Research on classification an…Integrating Geovisual Analytics with Machine Learning for Human Mobility Pattern Discovery (2019)Integrating Geovisual Analyti…Understanding predictability and exploration in human mobility (2018)Understanding predictability …Mining travel behaviors of tourists with mobile phone data: A case study in Hainan (2016)Mining travel behaviors of to…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban Travel Demand: A Behavioral Analysis (1977)A theoretical and empirical model of trip chaining behavior (1979)A tour-based model of travel mode choice (2005)Collective Human Mobility Pattern from Taxi Trips in Urban Area (2012)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)Reality mining: sensing complex social systems (2005)Limits of Predictability in Human Mobility (2010)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Returners and explorers dichotomy in human mobility (2015)The scaling laws of human travel (2006)A review of urban computing for mobile phone traces (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)The origin of bursts and heavy tails in human dynamics (2005)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Children's Independent Movement in the Local Environment (2007)Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)A GPS/GIS method for travel mode detection in New York City (2011)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities (2011)Traffic zone division based on big data from mobile phone base stations (2015)Transport modelling in the age of big data (2017)Travel demand and the 3Ds: Density, diversity, and design (1997)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment (2016)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)When a city tells a story (2012)The Death and Life of Great American Cities (2015)Urban magnetism through the lens of geo-tagged photography (2015)A place-based model for understanding community resilience to natural disasters (2008)Examining income segregation within activity spaces under natural disaster using dynamic mobility network (2023)Mobility networks in Greater Mexico City (2024)Urban resilience: Multidimensional perspectives, challenges and prospects for future research (2024)Activity spaces: measures of social exclusion? (2003)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2002Observing the rhythms of daily life: A six-week travel diary503 cited
  • 2012Understanding Road Usage Patterns in Urban Areas371 cited
  • 2006Household travel surveys: Where are we going?317 cited
  • 2012Inferring land use from mobile phone activity299 cited
  • 2007Deriving origin–destination data from a mobile phone network270 cited
  • 2000Micro-simulation of daily activity-travel patterns for travel demand forecasting216 cited
  • 2012Inferring land use from mobile phone activity113 cited

Cited by

  • 2020Urban mobility and resilience: exploring Boston’s urban mobility network through twitter data28 cited
  • 2021Characterizing People’s Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data24 cited
  • 2019Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data23 cited
  • 2023Characterizing urban lifestyle signatures using motif properties in network of places16 cited
  • 2019Integrating Geovisual Analytics with Machine Learning for Human Mobility Pattern Discovery14 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2018Understanding predictability and exploration in human mobility13 cited
  • 2021Revealing temporal stay patterns in human mobility using large‐scale mobile phone location data13 cited
  • 2022Generating Activity-Based Mobility Plans from Trip-Based Models and Mobility Surveys7 cited
  • 2016Mining travel behaviors of tourists with mobile phone data: A case study in Hainan7 cited
  • 2022A tale of three cities: uncovering human-urban interactions with geographic-context aware social media data6 cited
  • 2023Epidemiological-survey-based multidimensional modeling for understanding daily mobility during the COVID-19 pandemic across urban-rural gradient in the Chinese mainland6 cited
  • 2023Identification and Classification of Bus and Subway Passenger Travel Patterns in Beijing Using Transit Smart Card Data4 cited
  • 2023A Design of Activity-Based Mobility Intervention4 cited
  • 2025Beyond the flexibility narrative of automobility: How regular are car users’ mobility patterns?3 cited