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2022 Vol.40, Issue 6 Preview Page

Article

31 December 2022. pp. 781-798
Abstract
References
1
Allison P. D. (2012), Logistic Regression Using SAS: Theory and Application, SAS Institute(Cary, United States).
2
Arentze T., Timmermans H. (2004), Albatross: A Learning-Based Transportation Oriented Simulation System, Transportation Research Part B, 38(7), 613-633. 10.1016/j.trb.2002.10.001
3
Bhat C. R., Koppelman F. S. (1994), A Structural and Empirical Model of Subsistence Activity Behavior and Income, Transportation, 21, 71-89. 10.1007/BF01119635
4
Bin E., Andruetto C., Susilo Y., Pernestål A. (2021), The Trade-off Behaviours between Virtual and Physical Activities during the First Wave of the COVID- 19 Pandemic Period, European Transport Research Review, 13(14), 1-19. 10.1186/s12544-021-00473-7PMC7872826
5
Chen Z., Yeh A. G. O. (2021), Effects of Built Environment on Activity Participation under Different Space-time Constraints: A Case Study of Guangzhou, China, Travel Behaviour and Society, 22, 84-93. 10.1016/j.tbs.2020.08.007
6
Dijst M. (2004), ICTs and Accessibility: an Action Space Perspective on the Impact of New Information and Communication Technologies, Transport Developments and Innovations in an Evolving World, 27-46. 10.1007/978-3-540-24827-9_3
7
Ettema D., Borgers A., Timmermans H. (1994), Using Interactive Computer Experiments for Identifying Activity Scheduling Heuristics, 7th International Conference on Travel Behavior, Valle Nevado, Santiago, Chile, June, 13-16.
8
Ettema D., Schwanen T., Timmermans H. (2007), The Effect of Locational, Mobility and Socio-demographic Factors on Task and Time Allocation in Households, Transportation, 34, 89-105. 10.1007/s11116-006-0007-3
9
Farber S., Páez A. (2009), My Car, My Friends, and Me: A Preliminary Analysis of Automobility and Social Activity Participation, Journal of Transport Geography, 17(3), 216-225. 10.1016/j.jtrangeo.2008.07.008
10
Gärling T., Brann K., Garvill J., Golledge R., Gopal S., Holm E. et al. (1989), Household Activity Scheduling, In Transport Policy, Management and Technology Towards 2001: Selected Proceedings of the Fifth World Conference on Transportation Research, 6, 235-248.
11
Golledge R. G., Kwan M. P., Garling T. (1994), Computational-Process Modelling of Household Travel Decisions Using a Geographical Information System, Papers in Regional Science, 73, 99-118. 10.1111/j.1435-5597.1994.tb00605.x
12
Golob T. F., Regan A. C. (2001), Impacts of Information Technology on Personal Travel and Commercial Vehicle Operations: Research Challenges and Opportunities, Transportation Research Part C: Emerging Technologie, 9(2), 87-121. 10.1016/S0968-090X(00)00042-5
13
Goulias K. G., Kim T. (2005), An Analysis of Activity Type Classification and Issues Related to the With Whom and for Whom Questions of an Activity Diary, Chapter 14 in Harry Timmermans (Ed.), Progress in Activity-based Analysis, Elsevier, 309-334. 10.1016/B978-008044581-6/50017-X
14
Hägerstrand T. (1970), What about People in Regional Science, regional science association, Papers of the Regional Science Association, 24, 6-21. 10.1007/BF01936872
15
Hardman S., Lee J. H., Tal G. (2019), How Do Drivers Use Automation? Insights from a Survey of Partially Automated Vehicle Owners in the United States, Transportation Research Part A: Policy and Practice, 129, 246-256. 10.1016/j.tra.2019.08.008
16
Hayes-Roth B., Hayes-Roth F. (1979), A Cognitive Model of Planning, Cognitive Science, 3(4), 275-310. 10.1207/s15516709cog0304_1
17
Joh C. H., Doherty S. T., Polak J. W. (2005), Analysis of Factors Affecting Frequency and Type of Activity Schedule Modification, Transportation Research Record: Journal of the Transportation Research Board, 1926(1), 19-25. 10.1177/0361198105192600103
18
Korea Research Institute for Human Settlements(KRIHS) (2011), “Urban Space Changes and the Direction of Urban Planning in the Age of U-City”.
19
Korea Research Institute for Human Settlements(KRIHS) (2021), “Ripple effect of mobility innovation and remote activities, and transportation and urban strategies responding to it”.
20
Korea Labor Institute(KLI) (2021), “Changes in working methods and work-life balance in untact time”.
21
Kwan M. P. (1997), GISICAS: Aan Activity-Based Travel Decision Support System Using a GIS-interfaced Computational Process Model, Activity-based Approaches to Travel Analysis, 263-282.
22
Kwan M. P. (1998), Space-Time and Integral Measures of Individual Accessibility: a Comparative Analysis Using a Point-Based Framework, Geographical Analysis, 30(3), 191-216. 10.1111/j.1538-4632.1998.tb00396.x
23
Lee D. W. (2021), Impact and Emotions of Life According to Telework in the Time of COVID-19, Korean Labor & Income Panel Study Conference, October 29, 253-261. 10.21479/kaft.2021.29.4.725
24
Lee G. H, Park J. (2020), The Classification and Effect of News Users’ ‘News Media Repertoire’ By Latent Class Analysis, Korean Journal of Communication & Information, 99, 148-176. 10.46407/kjci.2020.02.99.148
25
Lee J. H. (2010), (The) empirical study on the activity constraints of the people in the urban area: On the asis of activity scheduling Theory, Master Thesis, Kyunghee University, Seoul.
26
Lee J. H., Chakraborty D., Hardman S. J., Tal G. (2020), Exploring Electric Vehicle Charging Patterns: Mixed Usage of Charging Infrastructure, Transportation Research Part D: Transport and Environment, 79, 102249. 10.1016/j.trd.2020.102249
27
Lu X., Pas E. I. (1999), Socio-demographic, Activity Participation and Travel Behavior, Transportation Research Part A: Policy and Practice, 33(1), 1-18. 10.1016/S0965-8564(98)00020-2
28
Miller H. J. (1991), Modelling Accessibility Using Space-Time Prism Concepts within Geographical Information Systems, International Journal of Geographical Information System, 5(3), 287-301. 10.1080/02693799108927856
29
Moeckel R. (2017), Working from Home: Modeling the Impact of Telework on Transportation and Land Use, Transportation Research Procedia, 26, 207-214. 10.1016/j.trpro.2017.07.021
30
Newell A., Simon H. A. (1972), Human Problem Solving, Prentice-Hall.
31
Noh S. H., Joh C. H. (2009), Travel Pattern Differences Between the Elderly and the Younger Adults in Seoul Metropolitan Area, The Geographical Journal of Korea, 43(3), 1-14.
32
Pabilonia S. W., Vernon V. (2021), Telework and Time Use, IZA Institue of Labor Economics, Institute of Labor Economics. 10.2139/ssrn.4114366
33
Patten M. L., Goulias K. G. (2004), Integrated Survey Design for a Household Activity-Travel Survey in Centre County, Pennsylvania, 83rd Annual Meeting of the Transportation Research Board Meeting, Washington DC.
34
Pendyala R. M., Goulias K. G., Kitamura R. (1991), Impact of telecommuting on spatial and temporal patterns of household travel, Transportation, 18(4), 383-409. 10.1007/BF00186566
35
Recker W. W., McNally M.G., Root G. S. (1986), A Model of Complex Travel Behavior: Part I-Theoretical Development, Transportation Research Part A: General, 20(4), 307-318. 10.1016/0191-2607(86)90089-0
36
Restrepo B. J., Zeballos E. (2020), The Effect of Working from Home on Major Time Allocations with a Focus on Food-related Activities, Review of Economics of the Household, 18, 1,165-1,187. 10.1007/s11150-020-09497-932863807PMC7443151
37
Saxena S., Mokhtarian P. L. (1997), The Impact of Telecommuting on the Activity Spaces of Participants, Geographical Analysis, 29(2), 124-144. 10.1111/j.1538-4632.1997.tb00952.x
38
Vause M. (1997), A Rule-based Model of Activity Scheduling Behavior, Activity-based Approaches to Travel Analysis, 73-88.
39
Vermunt J. K. (2010), Latent Class Modeling with Covariates: Two Improved Three-Step Approaches, Political Analysis, 18(4), 450-469. 10.1093/pan/mpq025
40
Vermunt J. K., Magidson J. (2002), Latent Class Cluster Analysis, Applied latent class analysis, 11(89-106), 60. 10.1017/CBO9780511499531.004
41
Yoon S. Y., Kim M. Y. (2021), A study on the ripple effect of telecommuting on urban structure and travel behavior, Journal of the Korean Regional Development Association, 33(2), 57-59.
42
Yoon S. Y., Ravulaparthy S. K., Goulias K. G. (2014) Dynamic Diurnal Social Taxonomy of Urban Environments Using Data from a Geocoded Time Use Activity-Travel Diary and Point-Based Business Establishment Inventory, Transportation Research Part A: Policy and Practice, 68, 3-17. 10.1016/j.tra.2014.01.004
43
Zhu P., Mason S. G. (2014), The Impact of Telecommuting on Personal Vehicle Usage and Environmental Sustainability, International Journal of Environmental Science and Technology, 11, 2,185-2,200. 10.1007/s13762-014-0556-5
Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 40
  • No :6
  • Pages :781-798
  • Received Date : 2022-10-04
  • Revised Date : 2022-10-11
  • Accepted Date : 2022-10-26