مدل تاثیر پارامترهای رفتاری بر روی انتخاب شیوه سفر

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استاد، دانشکدة مهندسی عمران، دانشگاه علم و صنعت ایران، تهران، ایران

2 دانشجوی کارشناسی ارشد، دانشکدة مهندسی عمران، دانشگاه علم و صنعت ایران، تهران، ایران

3 دانش آموخته دکتری، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران، ایران

10.22034/tri.2021.255854.2829

چکیده

این پژوهش با هدف بررسی لزوم درنظر گرفتن فرآیند شکل‌گیری تصمیم و وارد کردن متغیرهای پنهان در مدل‌های انتخاب گسسته صورت پذیرفته‌است. طرح وارد کردن این متغیرها در مدل‌های انتخاب، از آنجایی است که مفهوم تئوری رفتاری با ماهیت بوجود آمدن یک تصمیم سر و کار دارد درحالیکه مدل‌های انتخاب گسسته که مبتنی بر فرضیه مطلوبیت تصادفی و تئوری اقتصادی مصرف‌کننده می‌باشند با تمرکز بر متغیرهای قابل‌مشاهده بعنوان ورودی و خروجی قابل‌مشاهده که همان انتخاب باشد، ساخته می‌شوند. روش مورد استفاده در این پژوهش، رویکردی مرحله‌ای است که ابتدا متغیرهای پنهان، با استفاده از مدلسازی معادلات ساختاری، مدل شده و از خروجی این بخش در ساخت مدل انتخاب، استفاده شده‌است. نتایج تحقیق نشان داد که وارد کردن متغیرهای پنهان در مدل انتخاب، به لحاظ آماری تاثیر معنی‌داری داشته و منجر به این می‌شود که مدل با حضور متغیرهای پنهان، دارای برآورد بهتری نسبت به مدل بدون حضور این متغیرها، باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Modeling the Effect of Behavioral Parameters on Mode Choice

نویسندگان [English]

  • Shahriar Afandizadeh 1
  • Amir Tabrizian 2
  • Navid Kalantari 3
1 Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
2 M.Sc., Student, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
3 Ph.D., School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
چکیده [English]

This research was done with the aim of investigating the necessity of involving the decision making process and latent variables in discrete choice models to provide a more realistic representation of these models. Entering latent variables in discrete choice models is initiated from the fact that the concept of Behavioral theory is concerned with the manner in which a decision is made, while discrete choice models which are based on random utility hypothesis and economic consumer theory, are concerned with the observatory input and output variables. Discrete choice models are often proposed as an optimizing black box since this model attaches the observable inputs directly to the observable output (choice) and does not explain anything about the process of choice formation, while behavioral theory tries to consider the process of forming and existing a decision to have a more realistic representation of the choice process. In creating more realistic behavioral models, it can be said simply that, this method, considers hidden structures such as attitudes, perceptions and all concepts that influence the choice. In this method, psychometric measures are used which are features of fundamental latent variables. The aim of the representation of this structure is developing a comprehensive framework and methodology, to incorporate latent factors, as descriptive variables in discrete choice models. The method used in this research is a staged paradigm which is modeled in the first part of the latent variables using structural equation modeling and the output of this part is used in the choice model construction. The research findings also showed that entering latent variables in vehicle choice model has a statistical significant effect and causes the model with latent variables to have a better estimate compared with the models without these variables.
 
.

کلیدواژه‌ها [English]

  • "Discrete choice model
  • Latent variables"
  • "Structural equation modeling
  • "." Behavioral parameters
  • Mode choice model"

مراجع

Ben-Akiva, M.E., S.R. Lerman, and S.R. Lerman, (1985), "Discrete Choice Analysis, Theory and Application to Travel Demand. Vol. 9, MIT Press.
-Ben-Akiva, M., et al., (2002), "Integration of Choice and Latent Variable Models. Perpetual Motion, Travel Behavior Research Opportunities and Application Challenges,
pp. 431-470
 
-Carrus, G., P. Passafaro, and M. Bonnes, (2008), "Emotions, Habits and Rational Choices in Ecological Behavior’s: The Case of Recycling and Use of Public Transportation, Journal of Environmental Psychology, 28(1), pp. 51-62.
-De Dios Ortuzar, J. and L.G. Willumsen, (2011), "Modelling Transport, John Wiley & Sons.
-Dobson, R. and M.L. Tischer, (1976), "Beliefs about Buses, Carpools, and Single Occupant Autos: A Market Segmentation Approach", in Proceedings of the Transportation Research Forum.
-Dobson, R., et al., (1978),"Structural Models for the Analysis of Traveler Attitude-Behavior Relationships. Transportation”, 7(4),
pp. 351-363.
 
Hensher, D.A., J.M. Rose, and W.H. (2005), "Greene, Applied Choice Analysis: A Primer", Cambridge University Press.
 
-Hartgen, D.T. and G.H., (1970), "Tanner, Behavioral Model of Mode Choice, New York State Department of Transportation", Planning and Research Bureau.
 
-Hoe, S.L., (2008), "Issues and Procedures in Adopting Structural Equation Modeling Technique", Journal of Applied Quantitative Methods, 3(1), pp. 76-83.
 
-Hair, J., et al., Multivariate data analysis 7th Edith ed. 2010, Upper Saddle River (NJ): Prentice Hall.
 
-Johansson, M.V., T. Heldt, and P. (2006), "Johansson, the Effects of Attitudes and Personality Traits on Mode Choice", Transportation Research Part a: Policy and Practice, 40(6), PP. 507-525.
 
-Koppelman, F.S. and C. Bhat, (2006), "A Self-Instructing Course in Mode Choice Modeling, Multinomial and Nested Logit Models.
 
-Khisty, C.J. and B.K. Lall, (2003), Transportation Engineering, An Introduction  3rd edition", 3rd Edition, Prentice Hall.
 
-Lovelock, C.H., (1975), "A market Segmentation Approach to Transit Planning, Modeling and Management, In Proceedings, Transportation Research Forum.
 
-McFadden, D., Analysis of Qualitative Choice Behavior, Zarembka, P.(ed.), Frontiers in Econometrics. Academic Press. New York, NY.
 
-MacCallum, R.C., et al., (1999), "Sample Size in Factor Analysis. Psychological Methods, 4(1), pp. 84.
 
-Madanat, S.M., C. Yang, and Y.-M. Yen, Analysis of Stated Route Diversion Intentions under Advanced Traveler Information Systems Using Latent Variable Modeling. Transportation Research Record, 1995(1485).
 
-Prashker, J.N., (1979), "Scaling Perceptions Of Reliability Of Urban Travel Modes Using Indusial and Factor Analysis Methods, Transportation Research Part A: General, 13(3), pp. 203-212.
 
-Prashker, J.N., (1979), "Mode Choice Models With Perceived Reliability Measures. Transportation Engineering Journal of ASCE, 105(3), pp. 251-262.
 
-Recker, W.W. and T.F. Golob, (1976), "An Attitudinal Modal Choice Model", Transportation Research, 1976. 10(5),
pp.299-310
 
-Temme, D., M. Paulssen, and T. (2008), "Dannewald, Incorporating Latent Variables Into Discrete Choice Models—A Simultaneous Estimation Approach Using SEM Software. Business Research, 2008. 1(2), pp. 220-237.
 
-Train, K.E., (2003), Discrete Choice Analysis with Simulation. Cambridge, Cambridge, UK.
 
-Train, K.E., (2009), "Discrete Choice Methods with Simulation, Cambridge University Press.
-Wright, P.H. and N.J. Ashford, (1989), "Transportation Engineering", Planning and Design.
 
-Walker, J.L., (2001), "Extended Discrete Choice Models: Integrated Framework, Flexible Error Structures, and Latent Variables, Massachusetts Institute of Technology.
 
-Walker, J. and M. Ben-Akiva, (2002), "Generalized Random Utility Model. Mathematical Social Sciences, 43(3),
pp.303-343.
 
 

فایل ها

هم رسانی

ارجاع به این مقاله

آمار