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Analysis of commuting needs using graph theory and census data: A comparison between two medium-sized cities in the UK
10 references·10 citing·53 second hop
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References

  • 2008City-ranking of European Medium-Sized Cities459 cited
  • 1961A GRAPH THEORY INTERPRETATION OF NODAL REGIONS444 cited
  • 2009Urban Regeneration in the UK369 cited
  • 1996Jobs-Housing Balance Revisited: Trends and Impacts in the San Francisco Bay Area343 cited
  • 2011Urban land uses, socio-demographic attributes and commuting: A multilevel modeling approach154 cited
  • 2008Effects of TOD on Housing, Parking, and Travel135 cited
  • 2000Sustainable urban development and transport -a Eurovision for 2020132 cited
  • 2006New spatial patterns of mobility within the metropolitan area of Madrid: Towards more complex and dispersed flow networks67 cited
  • 2007SUSTAINABLE TRANSPORT: CHALLENGES AND OPPORTUNITIES55 cited
  • 2010Minimum commuting distance as a spatial characteristic in a non‐monocentric urban system: The case of Flanders46 cited

Cited by

  • 2017Monitoring transit-served areas with smartcard data: A Brisbane case study18 cited
  • 2022Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data15 cited
  • 2018Dynamics of Metropolitan Landscapes and Daily Mobility Flows in the Italian Context. An Analysis Based on the Theory of Graphs14 cited
  • 2014Geographic specificity and positionality of public input in transportation: a rural transportation planning case from Central Texas

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11 cited
  • 2017Exploring intermediate cities in Latin America: mixed mobile methods for mobility assessment in Villarrica, Chile8 cited
  • 2017Big data for intrametropolitan human movement studies5 cited
  • 2025The corridor problem: More comprehensive results on the no-toll equilibrium4 cited
  • 2013Transport Geography in Spain4 cited
  • 2019An Urban Road-Traffic Commuting Dynamics Study Based on Hotspot Clustering and a New Proposed Urban Commuting Electrostatics Model4 cited
  • 2024Investigating changes in within-person effects between attitudes and travel behaviour during the COVID-19 pandemic4 cited