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Applying and Evaluating Data-Driven Fine Grid Partitioning Methods for Traffic Analysis Zones
16 references·0 citing·51 second hop
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References

  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands501 cited
  • 2004On the First Law of Geography: A Reply500 cited
  • 2020A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data243 cited
  • 2015Traffic zone division based on big data from mobile phone base stations136 cited
  • 2019Grid Governance in China's Urban Middle-class Neighbourhoods117 cited
  • 2016Age and attitude: Changes in cycling patterns of different e-bike user segments112 cited
  • 2008Effects of the Modifiable Areal Unit Problem on the Delineation of Traffic Analysis Zones81 cited
  • 2015Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area75 cited
  • 1998The GIS-Based Human-Interactive TAZ Design Algorithm: Examining the Impacts of Data Aggregation on Transportation-Planning Analysis62 cited
  • 2016Urban commuters’ valuation of travel time reliability based on stated preference survey: A case study of Beijing51 cited
  • 2019The effects of traffic zoning with regular geometric shapes on the precision of trip production models49 cited
  • 2014Transit Traffic Analysis Zone Delineating Method Based on Thiessen Polygon

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48 cited
  • 2019Identifying the Structure of Cities by Clustering Using a New Similarity Measure Based on Smart Card Data46 cited
  • 2020Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling44 cited
  • 2018Do Socio-Economic Characteristics Affect Travel Behavior? A Comparative Study of Low-Carbon and Non-Low-Carbon Shopping Travel in Shenyang City, China42 cited
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