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Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data
16 references·12 citing·52 second hop
Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data (2019)Travel Behavior Analysis Using 2016 Qingd…The value of online surveys: a look back and a look ahead (2018)The value of online surveys: …Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…Understanding metropolitan patterns of daily encounters (2013)Understanding metropolitan pa…The impacts of household structure on the travel behaviour of seniors and young parents in China (2013)The impacts of household stru…Walking and Cycling in the United States, 2001–2009: Evidence From the National Household Travel Surveys (2011)Walking and Cycling in the Un…Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)Structure of Urban Movements:…Exploratory calibration of a spatial interaction model using taxi GPS trajectories (2011)Exploratory calibration of a …A GPS/GIS method for travel mode detection in New York City (2011)A GPS/GIS method for travel m…Uncovering cabdrivers’ behavior patterns from their digital traces (2010)Uncovering cabdrivers’ behavi…Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Travel Time and Transfer Anal…Travel behavior of immigrants: An analysis of the 2001 National Household Transportation Survey (2009)Travel behavior of immigrants…Diurnal pattern of transit ridership: a case study of the New York City subway system (2008)Diurnal pattern of transit ri…Household travel surveys: Where are we going? (2006)Household travel surveys: Whe…Car ownership, travel and land use: a comparison of the US and Great Britain (2005)Car ownership, travel and lan…Improving public transport ticketing through smart cards (2004)Improving public transport ti…Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context (2002)Urban Form and Travel Behavio…The Spatiotemporal Patterns of Bus Passengers: Visualisation and Evaluation using Non-negative Tensor Decomposition (2023)The Spatiotemporal Patterns o…RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study (2022)RFM Model and K-Means Cluster…Machine-Learning Approaches to Identify Travel Modes Using Smartphone-Assisted Survey and Map Application Programming Interface (2022)Machine-Learning Approaches t…Investigating functional consistency of mobility-related urban zones via motion-driven embedding vectors and local POI-type distributions (2022)Investigating functional cons…Analyzing detour behavior of metro passengers based on mobile phone data (2022)Analyzing detour behavior of …Impact of the mixed degree of urban functions on the taxi travel demand (2021)Impact of the mixed degree of…Exploring the Built Environment Factors in the Metro That Influence the Ridership and the Market Share of the Elderly and Students (2021)Exploring the Built Environme…A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic (2021)A deep learning-based time se…A cost-effective methodology to compare travel time and speed: a tale of 11 cities (2021)A cost-effective methodology …Spatial Variation of Taxi Demand Using GPS Trajectories and POI Data (2020)Spatial Variation of Taxi Dem…An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data (2020)An Empirical Spatial Accessib…Verification and Analysis of Traffic Evaluation Indicators in Urban Transportation System Planning Based on Multi-Source Data–A Case Study of Qingdao City, China (2019)Verification and Analysis of …A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Travel and the Built Environment: A Synthesis (2001)The Compact City (2003)The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips (2005)Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship (2009)A comparative study of machine learning classifiers for modeling travel mode choice (2017)The Spatial Economy (1999)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)From mobile phone data to the spatial structure of cities (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Revealing travel patterns and city structure with taxi trip data (2015)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)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)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Processing Raw Data from Global Positioning Systems without Additional Information (2009)Algorithmic Geographies: Big Data, Algorithmic Uncertainty, and the Production of Geographic Knowledge (2016)Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach (2018)CITIES AND AUTOMOBILE DEPENDENCE: AN INTERNATIONAL SOURCEBOOK (1989)Sustainability and Cities: Overcoming Automobile Dependence (1999)The future mobility of the world population (2000)Land Use Impacts on Transport How Land Use Factors Affect Travel Behavior (2005)Dimensions of urban mobility cultures – a comparison of German cities (2013)Impact of COVID-19: A radical modal shift from public to private transport mode (2021)Promoting Safe Walking and Cycling to Improve Public Health: Lessons From The Netherlands and Germany (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Demand for Public Transport in Germany and the USA: An Analysis of Rider Characteristics (2012)Experiences of electric bicycle users in the Sacramento, California area (2014)Cycling behaviour in 17 countries across 6 continents: levels of cycling, who cycles, for what purpose, and how far? (2021)Computational Social Science (2009)B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces (2014)Integrating social network data into GISystems (2016)Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage (2018)Five Rules for the Evolution of Cooperation (2006)Limits of Predictability in Human Mobility (2010)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Tracking job and housing dynamics with smartcard data (2018)Understanding traffic capacity of urban networks (2019)The Field behind the Screen: Using Netnography for Marketing Research in Online Communities (2002)The value of online surveys (2005)Beyond the hype: Big data concepts, methods, and analytics (2014)Adolescent Lifestyle Behaviors, Coping Strategies and Subjective Wellbeing during the COVID-19 Pandemic: An Online Student Survey (2020)Suspicious and fraudulent online survey participation: Introducing the REAL framework (2021)Strategic orientations and responsible innovation in SMEs: The moderating effects of environmental turbulence (2022)
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References

  • 2018The value of online surveys: a look back and a look ahead549 cited
  • 2011Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows457 cited
  • 2002Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context454 cited
  • 2006Household travel surveys: Where are we going?317 cited
  • 2005Car ownership, travel and land use: a comparison of the US and Great Britain310 cited
  • 2011A GPS/GIS method for travel mode detection in New York City293 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2011Walking and Cycling in the United States, 2001–2009: Evidence From the National Household Travel Surveys264 cited
  • 2013Understanding metropolitan patterns of daily encounters233 cited
  • 2010Uncovering cabdrivers’ behavior patterns from their digital traces217 cited
  • 2010Travel Time and Transfer Analysis Using Transit Smart Card Data154 cited
  • 2009Travel behavior of immigrants: An analysis of the 2001 National Household Transportation Survey146 cited
  • 2013The impacts of household structure on the travel behaviour of seniors and young parents in China109 cited
  • 2004Improving public transport ticketing through smart cards107 cited

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  • 2008Diurnal pattern of transit ridership: a case study of the New York City subway system96 cited
  • 2011Exploratory calibration of a spatial interaction model using taxi GPS trajectories92 cited
  • Cited by

    • 2021A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic39 cited
    • 2020Spatial Variation of Taxi Demand Using GPS Trajectories and POI Data33 cited
    • 2021Impact of the mixed degree of urban functions on the taxi travel demand25 cited
    • 2022RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study21 cited
    • 2022Machine-Learning Approaches to Identify Travel Modes Using Smartphone-Assisted Survey and Map Application Programming Interface20 cited
    • 2023The Spatiotemporal Patterns of Bus Passengers: Visualisation and Evaluation using Non-negative Tensor Decomposition15 cited
    • 2021Exploring the Built Environment Factors in the Metro That Influence the Ridership and the Market Share of the Elderly and Students13 cited
    • 2022Investigating functional consistency of mobility-related urban zones via motion-driven embedding vectors and local POI-type distributions12 cited
    • 2019Verification and Analysis of Traffic Evaluation Indicators in Urban Transportation System Planning Based on Multi-Source Data–A Case Study of Qingdao City, China11 cited
    • 2020An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data10 cited
    • 2022Analyzing detour behavior of metro passengers based on mobile phone data4 cited
    • 2021A cost-effective methodology to compare travel time and speed: a tale of 11 cities4 cited