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Analyzing scale independence in jobs-housing and commute efficiency metrics

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Cited by:

  1. Stępniak, Marcin & Jacobs-Crisioni, Chris, 2017. "Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications," Journal of Transport Geography, Elsevier, vol. 61(C), pages 17-29.
  2. Jiangping Zhou & Enda Murphy & Jonathan Corcoran, 2020. "Integrating road carrying capacity and traffic congestion into the excess commuting framework: The case of Los Angeles," Environment and Planning B, , vol. 47(1), pages 119-137, January.
  3. Kim, Kyusik & Horner, Mark W., 2021. "Examining the impacts of the Great Recession on the commuting dynamics and jobs-housing balance of public and private sector workers," Journal of Transport Geography, Elsevier, vol. 90(C).
  4. Piotr Rosik & Sławomir Goliszek & Tomasz Komornicki & Patryk Duma, 2021. "Forecast of the Impact of Electric Car Battery Performance and Infrastructural and Demographic Changes on Cumulative Accessibility for the Five Most Populous Cities in Poland," Energies, MDPI, vol. 14(24), pages 1-12, December.
  5. Longxu Yan & De Wang & Shangwu Zhang & Dongcan Xie, 2019. "Evaluating the multi-scale patterns of jobs-residence balance and commuting time–cost using cellular signaling data: a case study in Shanghai," Transportation, Springer, vol. 46(3), pages 777-792, June.
  6. Niedzielski, Michał A., 2021. "Grocery store accessibility: Different metrics – Different modal disparity results and spatial patterns," Journal of Transport Geography, Elsevier, vol. 96(C).
  7. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
  8. Zhou, Jiangping & Murphy, Enda, 2019. "Day-to-day variation in excess commuting: An exploratory study of Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 74(C), pages 223-232.
  9. Fan Gao & Jinjun Tang & Zhitao Li, 2022. "Effects of spatial units and travel modes on urban commuting demand modeling," Transportation, Springer, vol. 49(6), pages 1549-1575, December.
  10. Jiangping, Zhou & Chun, Zhang & Xiaojian, Chen & Wei, Huang & Peng, Yu, 2014. "Has the legacy of Danwei persisted in transformations? the jobs-housing balance and commuting efficiency in Xi’an," Journal of Transport Geography, Elsevier, vol. 40(C), pages 64-76.
  11. Jiangping Zhou & Ying Long, 2016. "Losers and Pareto optimality in optimising commuting patterns," Urban Studies, Urban Studies Journal Limited, vol. 53(12), pages 2511-2529, September.
  12. Kanaroglou, Pavlos S. & Higgins, Christopher D. & Chowdhury, Tufayel A., 2015. "Excess commuting: a critical review and comparative analysis of concepts, indices, and policy implications," Journal of Transport Geography, Elsevier, vol. 44(C), pages 13-23.
  13. Jiajia Wei & Qiyan Wang & Wang Gao, 2022. "How Commuting Time Affects Employees’ Income in China’s Urbanization Process," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
  14. Xingang Zhou & Anthony G. O. Yeh, 2021. "Understanding the modifiable areal unit problem and identifying appropriate spatial unit in jobs–housing balance and employment self-containment using big data," Transportation, Springer, vol. 48(3), pages 1267-1283, June.
  15. Yang Zhang & Yongping Zhang & Jiangping Zhou, 2021. "A novel excess commuting framework: Considering commuting efficiency and equity simultaneously," Environment and Planning B, , vol. 48(1), pages 151-168, January.
  16. Chen, Ruoyu & Zhang, Min & Zhou, Jiangping, 2023. "Jobs-housing relationships before and amid COVID-19: An excess-commuting approach," Journal of Transport Geography, Elsevier, vol. 106(C).
  17. Saadi, Ismaïl & Boussauw, Kobe & Teller, Jacques & Cools, Mario, 2016. "Trends in regional jobs-housing proximity based on the minimum commute: The case of Belgium," Journal of Transport Geography, Elsevier, vol. 57(C), pages 171-183.
  18. Zhang, Hong & Xu, Shan & Liu, Xuan & Liu, Chengliang, 2021. "Near “real-time” estimation of excess commuting from open-source data: Evidence from China's megacities," Journal of Transport Geography, Elsevier, vol. 91(C).
  19. Qin, Ping & Wang, Lanlan, 2019. "Job opportunities, institutions, and the jobs-housing spatial relationship: Case study of Beijing," Transport Policy, Elsevier, vol. 81(C), pages 331-339.
  20. Bwire, Hannibal & Zengo, Emil, 2020. "Comparison of efficiency between public and private transport modes using excess commuting: An experience in Dar es Salaam," Journal of Transport Geography, Elsevier, vol. 82(C).
  21. Jing Li & Pingyu Zhang & Kevin Lo & Meng Guo & Mark Wang, 2015. "Reducing Carbon Emissions from Shopping Trips: Evidence from China," Energies, MDPI, vol. 8(9), pages 1-15, September.
  22. Zhou, Jiangping & Murphy, Enda & Long, Ying, 2014. "Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data," Journal of Transport Geography, Elsevier, vol. 41(C), pages 175-183.
  23. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2018. "Community mobility MAUP-ing: A socio-spatial investigation of bikeshare demand in Chicago," Journal of Transport Geography, Elsevier, vol. 66(C), pages 80-90.
  24. Korsu, Emre & Le Néchet, Florent, 2017. "Would fewer people drive to work in a city without excess commuting? Explorations in the Paris metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 259-274.
  25. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.
  26. Yujie Hu & Fahui Wang & Chester Wilmot, 2020. "Commuting Variability by Wage Groups in Baton Rouge 1990-2010," Papers 2006.03498, arXiv.org.
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