Дневник поездок как метод изучения транспортного поведения населения
Научная статья
Для цитирования
Сергиенко М. Е. Дневник поездок как метод изучения транспортного поведения населения // Интеракция. Интервью. Интерпретация. 2023. Том 15. № 2. С. 72-95. DOI: https://doi.org/10.19181/inter.2023.15.2.4 EDN: NVUJDL
Аннотация
Моделирование спроса на транспортные услуги в урбанизированной среде начинается со сбора данных о транспортном поведении, извлеченных из дневников поездок горожан. Это первичный и наиболее популярный источник информации. Рассматривая на основе широкого зарубежного эмпирического опыта особенности трех видов дневников — заполненных вручную, полуавтоматических и автоматических, — автор останавливается на анализе современной тенденции к частично или даже полностью автоматизированному сбору данных о поездках. Заполняемый вручную дневник уходит в прошлое, несмотря на его существенные преимущества. Однако сбор субъективной информации о логике выбора траекторий транспортного поведения индивидов — особо ценный источник для изучения городской мобильности. Анализируя более детально компоненту ручного заполнения дневника поездок, автор приходит к выводу, что оптимален полуавтоматический дневник, который содержит элементы как автоматизированного заполнения данных о респондентах, так и их корректировки и дополнения вручную. В статье даются рекомендации, какой тип дневника поездок лучше выбрать в зависимости от специфики и технических возможностей определенного проекта.
Ключевые слова:
дневник поездок, транспортный спрос, транспортное поведение, городская мобильность, заполненный вручную дневник поездок, полуавтоматический дневник поездок, автоматический дневник поездок
Литература
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Мулеев Е. Транспортное поведение населения России: краткий отчет о социологическом исследовании. М.: Институт экономики транспорта и транспортной политики НИУ ВШЭ, 2015.
Allström A., Kristoffersson I., Susilo Y. Smartphone Based Travel Diary Collection: Experiences from a Field Trial in Stockholm // Transportation Research Procedia. 2017. Vol. 26. P. 32–38. DOI: https://doi.org/10.1016/j.trpro.2017.07.006
Arellana J., Daly A., Hess S., Ortuzar J., Rizzi L. Development of Surveys for Study of Departure Time Choice: A Two-Stage Approach to Efficient Design // Transportation Research Record: Journal of the Transportation Research Board. 2012. Vol. 2303. № 1. P. 1–18. DOI: https://doi.org/10.3141/2303-02
Athira I., Muneera C., Krishnamurthy K., Anjaneyulu M. Estimation of Value of Travel Time for Work Trips // Transportation Research Procedia. 2016. Vol. 17. P. 116–123. DOI: https://doi.org/10.1016/j.trpro.2016.11.067
Axhausen K. The Design of Environmentally Aware Travel Diaries // Transportation Planning and Technology. 1996. Vol. 19. № 3–4. P. 275–290. DOI: https://doi.org/10.1080/03081069608717574
Axhausen K. Travel Diaries: An Annotated Catalogue. 2nd Edition // Working Paper. 1995. P. 1–133.
Axhausen K., Lochl M., Schlich R., Buhl T., Widmer P. Fatigue in Long-Duration Travel Diaries // Transportation. 2007. № 34. P. 143–160. DOI: https://doi.org/10.1007/s11116-006-9106-4
Cottrill C., Pereira F., Zhao F., Dias I., Lim H., Ben-Akiva M., Zegras P. Future Mobility Survey: Experience in Developing a Smartphone-Based Travel Survey in Singapore // Transportation Research Record: Journal of the Transportation Research Board. 2013. Vol. 2354. № 1. P. 59–67. DOI: https://doi.org/10.3141/2354-07
Crane R., Chepeau R. Does Neighborhood Design Influence Travel?: Behavioral Analysis of Travel Diary and GIS Data // Transportation Research Part D: Transport and Environment. 1998. Vol. 3. № 4. P. 225–238.
Fezzi C., Bateman I., Ferrini S. Using Revealed Preferences to Estimate the Value of Travel Time to Recreation Sites // Journal of Environmental Economics and Management. 2014. Vol. 67. № 1. P. 58–70. DOI: https://doi.org/10.1016/j.jeem.2013.10.003
Geurs K., Thomas T., Bijlsma M., Douhou S. Automatic Trip and Mode Detection with Move Smarter: First Results from the Dutch Mobile Mobility Panel // Transportation Research Procedia. 2015. Vol. 11. P. 247–262. DOI: https://doi.org/10.1016/j.trpro.2015.12.022
Golob T., Kitamura R., Long L. Panels for Transportation Planning: Methods and Applications // Transportation Research, Economics and Policy. New York: Springer, 1997. DOI: https://doi.org/10.1007/978-1-4757-2642-8
Golob T., Meurs H. Biases in Response Over Time in a Seven-Day Travel Diary // Transportation. 1986. Vol. 13. № 2. P. 163–181. DOI: https://doi.org/10.1007/BF00165546
Goulias K. Travel Behavior Models // Handbook of Behavioral and Cognitive Geography / Ed. by D.R. Montello. Cheltenham; Northampton: Edward Elgar Publishing Limited, 2018. P. 56–73.
Goulias K., Pendyala R., Bhat C. Keynote — Total Design Data Needs for the New Generation Large-Scale Activity Microsimulation Models // Transport Survey Methods / Ed. by J. Zmud, M. Lee-Gosselin, M. Munizaga, J.A. Carrasco. Bingley: Emerald Group Publishing Limited, 2013. P. 21–46. DOI: http://dx.doi.org/10.1108/9781781902882-002
Guensler R., Wolf J. Development of a Handheld Electronic Travel Diary for Monitoring Individual Tripmaking Behavior // Transportation Research Board. 1999. P. 1–16.
Harvey A. Time-Space Diaries: Merging Traditions // Transport Survey Quality and Innovation / Ed. by P. Stopher, P. Jones. Bingley: Emerald Group Publishing, 2003. P. 151–180. DOI: http://dx.doi.org/10.1108/9781786359551-008
Jones P. The Role of an Evolving Paradigm in Shaping International Transport Research and Policy Agendas over the Last 50 Years // Travel Behaviour Research in an Evolving World: Selected Papers from the 12th International Conference on Travel Behaviour Research. 2012. P. 13–34.
Madre J.-L., Axhausen K., Brog W. Immobility in Travel Diary Surveys // Transportation. 2007. № 34. P. 107–128. DOI: https://doi.org/10.1007/s11116-006-9105-5
Mavoa S., Oliver M., Witten K., Badland H. Linking GPS and Travel Diary Data Using Sequence Alignment in a Study of Children’s Independent Mobility // International Journal of Health Geographics. 2011. P. 1–10. DOI: https://doi.org/10.1186/1476-072x-10-64
Montini L., Prost S., Schrammel J., Rieser-Schüssler N., Axhausen K. Comparison of Travel Diaries Generated from Smartphone Data and Dedicated GPS Devices // Transportation Research Procedia. 2015. Vol. 11. P. 227–241.
Murakami E., Wagner D. Can Using Global Positioning System (GPS) Improve Trip Reporting? // Transportation Research Part C: Emerging Technologies. 1999. Vol. 7. № 2–3. P. 149–165. DOI: https://doi.org/10.1016/S0968-090X(99)00017-0
Nassir N., Hickman M., Ma Z.-L. Activity Detection and Transfer Identification for Public Transit Fare Card Data // Transportation. 2015. Vol. 42. № 4. P. 683–705. DOI: http://dx.doi.org/10.1007/s11116-015-9601-6
Newell G. Memoirs on Highway Traffic Flow Theory in the 1950s // Operations Research. 2002. Vol. 50. № 1. P. 173–178. DOI: http://dx.doi.org/10.1287/opre.50.1.173.17802
Park Y. Assessing Personal Exposure to Traffic-Related Air Pollution Using Individual Travel-Activity Diary Data and an On-Road Source Air Dispersion Model // Health and Place. 2020. Vol. 63. P. 1–10. DOI: https://doi.org/10.1016/j.healthplace.2020.102351
Pierce B., Casas J., Giaimo G. Estimating Trip Rate Under-Reporting: Preliminary Results from the Ohio Household Travel Survey // 82nd Annual Meeting of the Transportation Research Board. Washington, D.C., 2003.
Prelipcean A., Gidófalvi G., Susilo Y. A Series of Three Case Studies on the Semi-Automation of Activity Travel Diary Generation Using Smartphones // Technical Report for the Swedish Transport Administration. 2017. P. 1–15.
Prelipcean A., Gidófalvi G., Susilo Y. Collecting Travel Diaries: Current State of the Art, Best Practices, and Future Research Directions // Transportation Research Procedia. 2018. Vol. 32. P. 155–166. DOI: http://dx.doi.org/10.1016/j.trpro.2018.10.029
Prelipcean A., Gidófalvi G., Susilo Y. Mobility Collector // Journal of Location Based Services. 2014. Vol. 8. № 4. P. 229–255. DOI: https://doi.org/10.1080/17489725.2014.973917
Prelipcean A., Yamamoto T. Workshop Synthesis: New Developments in Travel Diary Collection Systems Based on Smartphones and GPS Receivers // Transportation Research Procedia. 2018. Vol. 32. P. 119–125. DOI: http://dx.doi.org/10.1016/j.trpro.2018.10.023
Rello L., Baeza-Yates R. Good Fonts for Dyslexia // Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility. 2013. P. 1–8. DOI: http://dx.doi.org/10.1145/2513383.2513447
Richardson A. Estimating Individual Values of Time in Stated Preference Surveys // Proceedings of 26th Conference of Australian Institute of Transport Research. Melbourne: Monash University, 2004.
Rogalsky J. Bartering for Basics: Using Ethnography and Travel Diaries to Understand Transportation Constraints and Social Networks Among Working-Poor Women // Urban Geography. 2010. Vol. 31. № 8. P. 1018–1038. DOI: http://dx.doi.org/10.2747/0272-3638.31.8.1018
Sadato N., Pascual-Leone A., Grafman J., Deiber M.-P., Ibanez V., Hallett M. Neural Networks for Braille Reading by the Blind // Brain. 1998. Vol. 121. № 7. P. 1213–1229. DOI: https://doi.org/10.1093/brain/121.7.1213
Schlich R., Axhausen K. Habitual Travel Behaviour: Evidence from a Six-Week Travel Diary // Transportation. 2003. № 30. P. 13–36. DOI: https://doi.org/10.1023/A:1021230507071
Stenneth L., Thompson K., Stone W., Alowibdi J. Automated Transportation Transfer Detection Using GPS Enabled Smartphones // 15th International IEEE Conference on Intelligent Transportation Systems. 2012. P. 802–807. DOI: https://doi.org/10.1109/ITSC.2012.6338603
Stopher P., Greaves S. Household Travel Surveys: Where Are We Going? // Transportation Research Part A: Policy and Practice. 2007. Vol. 41. № 5. P. 367–381. DOI: http://dx.doi.org/10.1016/j.tra.2006.09.005
Termida N., Susilo Y., Franklin J., Liu C. Understanding Seasonal Variation in Individual’s Activity Participation and Trip Generation by Using Four Consecutive Two-Week Travel Diary // Travel Behaviour and Society. 2018. Vol. 12. P. 52–63. DOI: https://doi.org/10.1016/j.tbs.2017.12.006
Thomas T. The Value of Time for Passenger Cars: An Experimental Study of Commuters' Values // Highway Research Record. Washington: Highway Research Board, 1968. P. 1–36.
Wardman M. A Comparison of Revealed Preference and Stated Preference Models of Travel Behaviour // Journal of Transport Economics and Policy. 1988. Vol. 22. № 1. P. 71–91.
Weiner E. Urban Transportation Planning in the United States: History, Policy, and Practice. New York: Springer Science & Business Media, 2012.
Wermuth M., Sommer C., Kreitz M. Impact of New Technologies in Travel Surveys // Transport Survey Quality and Innovation / Ed. by P. Jones, P.R. Stopher. Bingley: Emerald Group Publishing Limited, 2003. P. 455–481. DOI: https://doi.org/10.1108/9781786359551-027
Winston G. Activity Choice: A New Approach to Economic Behaviour // Journal of Economic Behavior and Organization. 1987. Vol. 8. № 4. P. 567–585.
Wolf J., Guensler R., Bachman W. Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data // Transportation Research Record: Journal of the Transportation Research Board. 2001. Vol. 1768. № 1. P. 125–134. DOI: http://dx.doi.org/10.3141/1768-15
Wolf J. Applications of New Technologies in Travel Surveys: Quality and Future Directions // Travel Survey Methods / Ed. by P. Stopher, C. Stecher. 2006. P. 531–544. DOI: https://doi.org/10.1108/9780080464015-029
Мулеев Е. Транспортное поведение населения России: краткий отчет о социологическом исследовании. М.: Институт экономики транспорта и транспортной политики НИУ ВШЭ, 2015.
Allström A., Kristoffersson I., Susilo Y. Smartphone Based Travel Diary Collection: Experiences from a Field Trial in Stockholm // Transportation Research Procedia. 2017. Vol. 26. P. 32–38. DOI: https://doi.org/10.1016/j.trpro.2017.07.006
Arellana J., Daly A., Hess S., Ortuzar J., Rizzi L. Development of Surveys for Study of Departure Time Choice: A Two-Stage Approach to Efficient Design // Transportation Research Record: Journal of the Transportation Research Board. 2012. Vol. 2303. № 1. P. 1–18. DOI: https://doi.org/10.3141/2303-02
Athira I., Muneera C., Krishnamurthy K., Anjaneyulu M. Estimation of Value of Travel Time for Work Trips // Transportation Research Procedia. 2016. Vol. 17. P. 116–123. DOI: https://doi.org/10.1016/j.trpro.2016.11.067
Axhausen K. The Design of Environmentally Aware Travel Diaries // Transportation Planning and Technology. 1996. Vol. 19. № 3–4. P. 275–290. DOI: https://doi.org/10.1080/03081069608717574
Axhausen K. Travel Diaries: An Annotated Catalogue. 2nd Edition // Working Paper. 1995. P. 1–133.
Axhausen K., Lochl M., Schlich R., Buhl T., Widmer P. Fatigue in Long-Duration Travel Diaries // Transportation. 2007. № 34. P. 143–160. DOI: https://doi.org/10.1007/s11116-006-9106-4
Cottrill C., Pereira F., Zhao F., Dias I., Lim H., Ben-Akiva M., Zegras P. Future Mobility Survey: Experience in Developing a Smartphone-Based Travel Survey in Singapore // Transportation Research Record: Journal of the Transportation Research Board. 2013. Vol. 2354. № 1. P. 59–67. DOI: https://doi.org/10.3141/2354-07
Crane R., Chepeau R. Does Neighborhood Design Influence Travel?: Behavioral Analysis of Travel Diary and GIS Data // Transportation Research Part D: Transport and Environment. 1998. Vol. 3. № 4. P. 225–238.
Fezzi C., Bateman I., Ferrini S. Using Revealed Preferences to Estimate the Value of Travel Time to Recreation Sites // Journal of Environmental Economics and Management. 2014. Vol. 67. № 1. P. 58–70. DOI: https://doi.org/10.1016/j.jeem.2013.10.003
Geurs K., Thomas T., Bijlsma M., Douhou S. Automatic Trip and Mode Detection with Move Smarter: First Results from the Dutch Mobile Mobility Panel // Transportation Research Procedia. 2015. Vol. 11. P. 247–262. DOI: https://doi.org/10.1016/j.trpro.2015.12.022
Golob T., Kitamura R., Long L. Panels for Transportation Planning: Methods and Applications // Transportation Research, Economics and Policy. New York: Springer, 1997. DOI: https://doi.org/10.1007/978-1-4757-2642-8
Golob T., Meurs H. Biases in Response Over Time in a Seven-Day Travel Diary // Transportation. 1986. Vol. 13. № 2. P. 163–181. DOI: https://doi.org/10.1007/BF00165546
Goulias K. Travel Behavior Models // Handbook of Behavioral and Cognitive Geography / Ed. by D.R. Montello. Cheltenham; Northampton: Edward Elgar Publishing Limited, 2018. P. 56–73.
Goulias K., Pendyala R., Bhat C. Keynote — Total Design Data Needs for the New Generation Large-Scale Activity Microsimulation Models // Transport Survey Methods / Ed. by J. Zmud, M. Lee-Gosselin, M. Munizaga, J.A. Carrasco. Bingley: Emerald Group Publishing Limited, 2013. P. 21–46. DOI: http://dx.doi.org/10.1108/9781781902882-002
Guensler R., Wolf J. Development of a Handheld Electronic Travel Diary for Monitoring Individual Tripmaking Behavior // Transportation Research Board. 1999. P. 1–16.
Harvey A. Time-Space Diaries: Merging Traditions // Transport Survey Quality and Innovation / Ed. by P. Stopher, P. Jones. Bingley: Emerald Group Publishing, 2003. P. 151–180. DOI: http://dx.doi.org/10.1108/9781786359551-008
Jones P. The Role of an Evolving Paradigm in Shaping International Transport Research and Policy Agendas over the Last 50 Years // Travel Behaviour Research in an Evolving World: Selected Papers from the 12th International Conference on Travel Behaviour Research. 2012. P. 13–34.
Madre J.-L., Axhausen K., Brog W. Immobility in Travel Diary Surveys // Transportation. 2007. № 34. P. 107–128. DOI: https://doi.org/10.1007/s11116-006-9105-5
Mavoa S., Oliver M., Witten K., Badland H. Linking GPS and Travel Diary Data Using Sequence Alignment in a Study of Children’s Independent Mobility // International Journal of Health Geographics. 2011. P. 1–10. DOI: https://doi.org/10.1186/1476-072x-10-64
Montini L., Prost S., Schrammel J., Rieser-Schüssler N., Axhausen K. Comparison of Travel Diaries Generated from Smartphone Data and Dedicated GPS Devices // Transportation Research Procedia. 2015. Vol. 11. P. 227–241.
Murakami E., Wagner D. Can Using Global Positioning System (GPS) Improve Trip Reporting? // Transportation Research Part C: Emerging Technologies. 1999. Vol. 7. № 2–3. P. 149–165. DOI: https://doi.org/10.1016/S0968-090X(99)00017-0
Nassir N., Hickman M., Ma Z.-L. Activity Detection and Transfer Identification for Public Transit Fare Card Data // Transportation. 2015. Vol. 42. № 4. P. 683–705. DOI: http://dx.doi.org/10.1007/s11116-015-9601-6
Newell G. Memoirs on Highway Traffic Flow Theory in the 1950s // Operations Research. 2002. Vol. 50. № 1. P. 173–178. DOI: http://dx.doi.org/10.1287/opre.50.1.173.17802
Park Y. Assessing Personal Exposure to Traffic-Related Air Pollution Using Individual Travel-Activity Diary Data and an On-Road Source Air Dispersion Model // Health and Place. 2020. Vol. 63. P. 1–10. DOI: https://doi.org/10.1016/j.healthplace.2020.102351
Pierce B., Casas J., Giaimo G. Estimating Trip Rate Under-Reporting: Preliminary Results from the Ohio Household Travel Survey // 82nd Annual Meeting of the Transportation Research Board. Washington, D.C., 2003.
Prelipcean A., Gidófalvi G., Susilo Y. A Series of Three Case Studies on the Semi-Automation of Activity Travel Diary Generation Using Smartphones // Technical Report for the Swedish Transport Administration. 2017. P. 1–15.
Prelipcean A., Gidófalvi G., Susilo Y. Collecting Travel Diaries: Current State of the Art, Best Practices, and Future Research Directions // Transportation Research Procedia. 2018. Vol. 32. P. 155–166. DOI: http://dx.doi.org/10.1016/j.trpro.2018.10.029
Prelipcean A., Gidófalvi G., Susilo Y. Mobility Collector // Journal of Location Based Services. 2014. Vol. 8. № 4. P. 229–255. DOI: https://doi.org/10.1080/17489725.2014.973917
Prelipcean A., Yamamoto T. Workshop Synthesis: New Developments in Travel Diary Collection Systems Based on Smartphones and GPS Receivers // Transportation Research Procedia. 2018. Vol. 32. P. 119–125. DOI: http://dx.doi.org/10.1016/j.trpro.2018.10.023
Rello L., Baeza-Yates R. Good Fonts for Dyslexia // Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility. 2013. P. 1–8. DOI: http://dx.doi.org/10.1145/2513383.2513447
Richardson A. Estimating Individual Values of Time in Stated Preference Surveys // Proceedings of 26th Conference of Australian Institute of Transport Research. Melbourne: Monash University, 2004.
Rogalsky J. Bartering for Basics: Using Ethnography and Travel Diaries to Understand Transportation Constraints and Social Networks Among Working-Poor Women // Urban Geography. 2010. Vol. 31. № 8. P. 1018–1038. DOI: http://dx.doi.org/10.2747/0272-3638.31.8.1018
Sadato N., Pascual-Leone A., Grafman J., Deiber M.-P., Ibanez V., Hallett M. Neural Networks for Braille Reading by the Blind // Brain. 1998. Vol. 121. № 7. P. 1213–1229. DOI: https://doi.org/10.1093/brain/121.7.1213
Schlich R., Axhausen K. Habitual Travel Behaviour: Evidence from a Six-Week Travel Diary // Transportation. 2003. № 30. P. 13–36. DOI: https://doi.org/10.1023/A:1021230507071
Stenneth L., Thompson K., Stone W., Alowibdi J. Automated Transportation Transfer Detection Using GPS Enabled Smartphones // 15th International IEEE Conference on Intelligent Transportation Systems. 2012. P. 802–807. DOI: https://doi.org/10.1109/ITSC.2012.6338603
Stopher P., Greaves S. Household Travel Surveys: Where Are We Going? // Transportation Research Part A: Policy and Practice. 2007. Vol. 41. № 5. P. 367–381. DOI: http://dx.doi.org/10.1016/j.tra.2006.09.005
Termida N., Susilo Y., Franklin J., Liu C. Understanding Seasonal Variation in Individual’s Activity Participation and Trip Generation by Using Four Consecutive Two-Week Travel Diary // Travel Behaviour and Society. 2018. Vol. 12. P. 52–63. DOI: https://doi.org/10.1016/j.tbs.2017.12.006
Thomas T. The Value of Time for Passenger Cars: An Experimental Study of Commuters' Values // Highway Research Record. Washington: Highway Research Board, 1968. P. 1–36.
Wardman M. A Comparison of Revealed Preference and Stated Preference Models of Travel Behaviour // Journal of Transport Economics and Policy. 1988. Vol. 22. № 1. P. 71–91.
Weiner E. Urban Transportation Planning in the United States: History, Policy, and Practice. New York: Springer Science & Business Media, 2012.
Wermuth M., Sommer C., Kreitz M. Impact of New Technologies in Travel Surveys // Transport Survey Quality and Innovation / Ed. by P. Jones, P.R. Stopher. Bingley: Emerald Group Publishing Limited, 2003. P. 455–481. DOI: https://doi.org/10.1108/9781786359551-027
Winston G. Activity Choice: A New Approach to Economic Behaviour // Journal of Economic Behavior and Organization. 1987. Vol. 8. № 4. P. 567–585.
Wolf J., Guensler R., Bachman W. Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data // Transportation Research Record: Journal of the Transportation Research Board. 2001. Vol. 1768. № 1. P. 125–134. DOI: http://dx.doi.org/10.3141/1768-15
Wolf J. Applications of New Technologies in Travel Surveys: Quality and Future Directions // Travel Survey Methods / Ed. by P. Stopher, C. Stecher. 2006. P. 531–544. DOI: https://doi.org/10.1108/9780080464015-029
Статья
Поступила: 06.12.2022
Опубликована: 27.06.2023
Форматы цитирования
Другие форматы цитирования:
APA
Сергиенко, М. Е. (2023). Дневник поездок как метод изучения транспортного поведения населения. Интеракция. Интервью. Интерпретация, 15(2), 72-95. https://doi.org/10.19181/inter.2023.15.2.4
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