نقشه شناختی شبکه حمل‌ونقل و یادگیری پنهان (ناخودآگاه) مسافران

نوع مقاله : علمی - پژوهشی

نویسندگان

1 استادیار، دانشکده مهندسی عمران، پردیس دانشکده‌های فنی، دانشگاه تهران، تهران، ایران

2 دانشجوی دکتری، دانشکده مهندسی عمران، پردیس دانشکده‌ فنی، دانشگاه تهران، تهران، ایران

3 دانش آموخته دوره کارشناسی ارشد، دانشکده مهندسی عمران، پردیس دانشکده-های فنی، دانشگاه تهران، تهران، ایران

چکیده

هدف این مقاله بررسی نحوه ایجاد نقشه شناختی (ذهنی) از زمان سفر کمان­های شبکه ترابری در ذهن مسافران در اثر تجربیات روز به روز است. وجود این نقشه باعث می­شود که افراد در انتخاب­های خود برای سفرهای روز بعد تصمیم­های مبتنی بر اطلاعات این نقشه اتخاذ نمایند. هدف دوم این مقاله چگونگی توسعه و نقش یادگیری پنهان مسافران در هنگام انجام سفرهای روزانه است. در این مطالعه برای بررسی عوامل تأثیرگذار بر نقشه شناختی و یادگیری پنهان، مطالعات آزمایشگاهی بر روی یک شبکه واقعی در دو حالت ترافیکی در دستور کار قرار می­گیرد. سپس اطلاعات زمان سفر بصورت کمان-مبنا و مسیر مبنا از ذهن مسافران بازیابی می­شود. همچنین برای بخش یادگیری پنهان، مسافران زمان سفری را برای برخی از کمان­ها که تا بحال انتخاب نکرده­اند، حدس می‌زنند. در ادامه فرضیه­هایی در مورد چگونگی شکل­گیری نقشه شناختی و یادگیری پنهان در افراد مطرح شده و برای بررسی صحت‌وسقم آنها، شاخص­های ارزیابی مناسبی تعریف می­شود. استنباط آماری فرضیه­های آزمایش نشان می­دهد عوامل میزان پراکندگی زمان سفر در بین کمان­های شبکه ترابری، تعداد سفرها، تجربه رانندگی مسافر در شبکه­های دیگر، میزان درجه خوش­بینی/بدبینی مسافر، و وجود چراغ­های راهنمایی در سطح شبکه به‌طور معنی‌داری بر روی نقشه شناختی شبکه حمل­و­نقل و یادگیری پنهان مسافران تأثیرگذار است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Transportation Network Temporal Cognition and Unconsciousness Learning in Day-To-Day Trips

نویسندگان [English]

  • Navid Khademi 1
  • Mostafa Bababeik 2
  • Ramin Saedi Germi 3
1 Assistant Professor, Department of Civil Enginering, Faculty of Enginering, University of Tehran, Tehran, Iran
2 PhD. Candidate, Department of Civil Enginering, Faculty of Enginering, University of Tehran, Tehran, Iran
3 Ms. Grad., Department of Civil Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran
چکیده [English]

This study focuses on formation of cognitive map of transportation network in travelers’ memory. The travelers make their next travel choices and decisions based on the formation of this map. Second aim of this research is to investigate travelers’ latent learning while they make day-to-day trips. Investigating the effective factors on cognitive map and latent learning is conducted by laboratory-like experiments. Factors that would affect the travelers’ cognitive map and latent learning are: dispersion and variance of the links’ travel time, number of trips, traveler’s gender, and traveler’s driving experience in other networks, traveler’s optimism level, presence of salient features nearby the links, and the presence of traffic signals. The influence of these factors on the formation of cognitive map and latent learning is examined by defining the appropriate evaluation indicators and making statistical inferences. The results show that, apart from two factors, other ones affect the cognitive map of transportation network and travelers’ latent learning significantly.

کلیدواژه‌ها [English]

  • Day-to-day demand analysis
  • Cognitive Map
  • latent learning
  • experimental psychology
  • perception and cognition
  • transportation planning
-Arentze, T. and Timmermans, H. (2003) "Modeling learning and adaptation processes in activity-travel choice,  A framework and numerical experiment", Transportation, Vol. 30, No.1, pp. 37-62.
-Bogers, E. A., Bierlaire, M. and Hoogendoorn, S. P. (2007) "Modeling learning in route choice",Transportation Research Record: Journal of the Transportation Research Board, Vol. 2014, No.1, pp. 1-8.
-Bogers, E. A., Viti, F. and Hoogendoorn, S. P. (2005) "Joint modeling of advanced travel information service, habit, and learning impacts on route choice by laboratory simulator experiments",Transportation Research Record: Journal of the Transportation Research Board, Vol. 1926, No.1, pp. 189-197.
-Chen, R. and Mahmassani, H. S. (2004) "Travel time perception and learning mechanisms in traffic networks",Transportation Research Record: Journal of the Transportation Research Board, Vol. 1894, No.1, pp. 209-221.
-Craik, F. I. and Tulving, E. (1975)"Depth of processing and the retention of words in episodic memory", Journal of experimental Psychology: General, Vol. 104, No.3, pp. p268.
-Di Pietro, L., Mugion, R. G., Mattia, G., Renzi, M. and Toni, M. (2015) "The Integrated Model on Mobile Payment Acceptance (IMMPA): An empirical application to public transport",Transportation Research Part C: Emerging Technologies, Vol. 56, pp. 463-479.
-Emmerson, C., Guo, W., Blythe, P., Namdeo, A. and Edwards, S. (2013)"Fork in the road: In-vehicle navigation systems and older drivers",Transportation research part F: Traffic Psychology And Behaviour, Vol. 21, pp. 173-180.
-Ettema, D., Tamminga, G., Timmermans, H. and Arentze, T. (2005) "A micro-simulation model system of departure time using a perception updating model under travel time uncertainty",Transportation Research Part A: Policy and Practice, Vol. 39, No.4, pp. 325-344.
-Gluck, M. A., Mercado, E. and Myers, C.E. (2007)"Learning and memory: From Brain to Behavior", Worth Publishers, New York, United States of America., p.
Ishihara, S. (1972)"The series of plates designed as a test for colour blindness. 36 plates",Kannehara Shuppan, Tokyo, Vol. pp.
-Jha, M., Madanat, S. and Peeta, S. (1998)"Perception updating and day-to-day travel choice dynamics in traffic networks with information provision", Transportation Research Part C: Emerging Technologies, Vol. 6, No.3, pp. 189-212.
-Kim, H. and Lim, Y. (2012) "A Day-to-day route choice model based on drivers’ past experience", KSCE Journal of Civil Engineering, Vol. 16, No.7, pp. 1267-1279.
-Lin, P.-C. and Chen, S.-I. (2013)"The effects of gender differences on the usability of automotive on-board navigation systems–A comparison of 2D and 3D display",Transportation research part F: traffic psychology and behaviour, Vol. 19, pp. 40-51.
-Malayath, M. and Verma, A. (2013) "Activity based travel demand models as a tool for evaluating sustainable transportation policies", Research in transportation economics, Vol. 38, No.1, pp. 45-66.
-Manley, E., Orr, S. and Cheng, T. (2015) "A heuristic model of bounded route choice in urban areas", Transportation Research Part C: Emerging Technologies, Vol. 56, pp. 195-209.
-Nakayama, S. and Kitamura, R. (2000)"Route choice model with inductive learning", Transportation Research Record: Journal of the Transportation Research Board, Vol. 1725, No.1, pp. 63-70.
-Nakayama, S., Kitamura, R. and Fujii, S. (1999) "Drivers' learning and network behavior: dynamic analysis of the driver-network system as a complex system",Transportation Research Record: Journal of the Transportation Research Board, Vol. 1676, No.1, pp. 30-36.
-Nakayama, S., Kitamura, R. and Fujii, S. (2001)"Drivers' route choice rules and network behavior: Do drivers become rational and homogeneous through learning?",Transportation Research Record: Journal of the Transportation Research Board, Vol. 1752, No.1, pp. 62-68.
-Ramachandran, D., Karpov, I. V., Gupta, R. and Raux, A. (2013) Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE Conference on, pp. 2193-2200.
-Schmitt, L., Currie, G. and Delbosc, A. (2015)"Lost in transit? Unfamiliar public transport travel explored using a journey planner web survey",Transportation, Vol. 42, No.1, pp. 101-122.
-Seligman, M. E. (2011)"Learned optimism: How to change your mind and your life", Random House LLC, New York, United States of America, p.
-Sheskin, D. J. (2003)"Handbook of parametric and nonparametric statistical procedures", CRC Press, United States of America, Florida, p.
-Shiau, T.-A. (2014)"Evaluating transport infrastructure decisions under uncertainty", Transportation Planning and Technology, Vol. 37, No.6, pp. 525-538.
-Tolman, E. C. (1948) "Cognitive maps in rats and men", Psychological Review, Vol. 55, No.4, pp. 189.
-Tulving, E. (1972) "Episodic and semantic memory 1",Organization of Memory", London: Academic, Vol. 381, pp. 402.
-Tulving, E. (1985) "Memory and consciousness", Canadian Psychology/Psychologie Canadienne, Vol. 26, No.1, pp.
-Tulving, E. and Markowitsch, H. J. (1998) "Episodic and declarative memory: role of the hippocampus",Hippocampus, Vol. 8, No.3, pp. 65-100
-Tversky, A. and Kahneman, D. (1981) "The framing of decisions and the psychology of choice", Science, Vol. 211, No.4481, pp. 453-458.
-Weiss, T., Petzoldt, T., Bannert, M. and Krems, J. (2013) "Calibration as side effect? Computer-based learning in driver education and the adequacy of driving-task-related self-assessments", Transportation Research Part F: Traffic Psychology And Behaviour, Vol. 17, pp. 63-74.