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How routine is a routine? An analysis of the day-to-day variability in prism vertex location

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Cited by:

  1. Sun, Li & Zhao, Juanjuan & Zhang, Jun & Zhang, Fan & Ye, Kejiang & Xu, Chengzhong, 2024. "Activity-based individual travel regularity exploring with entropy-space K-means clustering using smart card data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
  2. Lijun Sun & Xinyu Chen & Zhaocheng He & Luis F. Miranda-Moreno, 2023. "Routine Pattern Discovery and Anomaly Detection in Individual Travel Behavior," Networks and Spatial Economics, Springer, vol. 23(2), pages 407-428, June.
  3. Jed A. Long & Jinhyung Lee & Darja Reuschke, 2023. "Activity graphs: Spatial graphs as a framework for quantifying individual mobility," Journal of Geographical Systems, Springer, vol. 25(3), pages 377-402, July.
  4. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
  5. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
  6. Han Dong & Cinzia Cirillo & Marco Diana, 2018. "Activity involvement and time spent on computers for leisure: an econometric analysis on the American Time Use Survey dataset," Transportation, Springer, vol. 45(2), pages 429-449, March.
  7. Marsden, Greg & Docherty, Iain, 2013. "Insights on disruptions as opportunities for transport policy change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 46-55.
  8. Neutens, Tijs & Delafontaine, Matthias & Scott, Darren M. & De Maeyer, Philippe, 2012. "An analysis of day-to-day variations in individual space–time accessibility," Journal of Transport Geography, Elsevier, vol. 23(C), pages 81-91.
  9. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2011. "Variability versus stability in daily travel and activity behaviour. The case of a one week travel diary," Working Papers halshs-00612610, HAL.
  10. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
  11. Moncayo-Unda, Milton Giovanny & Van Droogenbroeck, Marc & Saadi, Ismaïl & Cools, Mario, 2023. "A longitudinal analysis of the COVID-19 effects on the variability in human activity spaces in Quito, Ecuador," Journal of Transport Geography, Elsevier, vol. 113(C).
  12. Susilo, Yusak O. & Kitamura, Ryuichi, 2008. "Structural changes in commuters' daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980-2000," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 95-115, January.
  13. Ke Wang & Xin Ye, 2021. "Development of alternative stochastic frontier models for estimating time-space prism vertices," Transportation, Springer, vol. 48(2), pages 773-807, April.
  14. Crawford, F. & Watling, D.P. & Connors, R.D., 2018. "Identifying road user classes based on repeated trip behaviour using Bluetooth data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 55-74.
  15. Agarwal, Sumit & Diao, Mi & Keppo, Jussi & Sing, Tien Foo, 2020. "Preferences of public transit commuters: Evidence from smart card data in Singapore," Journal of Urban Economics, Elsevier, vol. 120(C).
  16. Dimas B E Dharmowijoyo & Yusak O Susilo & Anders Karlström, 2014. "Day-to-Day Interpersonal and Intrapersonal Variability of Individuals' Activity Spaces in a Developing Country," Environment and Planning B, , vol. 41(6), pages 1063-1076, December.
  17. Mir Aftab Hussain Talpur & Shabir Hussain Khahro & Tauha Hussain Ali & Hassam Bin Waseem & Madzlan Napiah, 2023. "Computing travel impendences using trip generation regression model: a phenomenon of travel decision-making process of rural households," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5973-5996, July.
  18. Shen, Yue & Kwan, Mei-Po & Chai, Yanwei, 2013. "Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China," Journal of Transport Geography, Elsevier, vol. 32(C), pages 1-11.
  19. Jianchuan Xianyu & Soora Rasouli & Harry Timmermans, 2017. "Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models," Transportation, Springer, vol. 44(3), pages 533-553, May.
  20. Nursitihazlin Ahmad Termida & Yusak O. Susilo & Joel P. Franklin, 2016. "Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year," Transportation, Springer, vol. 43(6), pages 997-1021, November.
  21. Xue Zhang & Yifan Tang & Yanwei Chai, 2023. "Spatiotemporal-Behavior-Based Microsegregation and Differentiated Community Ties of Residents with Different Types of Housing in Mixed-Housing Neighborhoods: A Case Study of Fuzhou, China," Land, MDPI, vol. 12(9), pages 1-23, August.
  22. Yusak Susilo & Kay Axhausen, 2014. "Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index," Transportation, Springer, vol. 41(5), pages 995-1011, September.
  23. Strömblad, Emma, 2024. "Identifying mobility segments for leisure travel: A cluster analysis based on a one-month travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  24. Crawford, Fiona, 2020. "Segmenting travellers based on day-to-day variability in work-related travel behaviour," Journal of Transport Geography, Elsevier, vol. 86(C).
  25. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
  26. Geoffrey Fairchild & Kyle S. Hickmann & Susan M. Mniszewski & Sara Y. Del Valle & James M. Hyman, 2014. "Optimizing human activity patterns using global sensitivity analysis," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 394-416, December.
  27. Zhou, Yang & Thill, Jean-Claude & Xu, Yang & Fang, Zhixiang, 2021. "Variability in individual home-work activity patterns," Journal of Transport Geography, Elsevier, vol. 90(C).
  28. Susilo, Yusak O. & Avineri, Erel, 2013. "The impacts of household structure on the individual stochastic travel and out of-home activity time budgets," Working papers in Transport Economics 2013:19, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  29. Deschaintres, Elodie & Morency, Catherine & Trépanier, Martin, 2022. "Cross-analysis of the variability of travel behaviors using one-day trip diaries and longitudinal data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 228-246.
  30. Morency, Catherine & Trépanier, Martin & Agard, Bruno, 2007. "Measuring transit use variability with smart-card data," Transport Policy, Elsevier, vol. 14(3), pages 193-203, May.
  31. Sfeir, Georges & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Multivariate count data models for adoption of new transport modes in an organization-based context," Transport Policy, Elsevier, vol. 91(C), pages 59-75.
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