TY - GEN
T1 - The varying perception problem
T2 - 23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018
AU - Jang, Sunghoon
AU - Rasouli, Soora
AU - Timmermans, Harry
N1 - Funding Information:
Table 1 shows the estimation results for different representations of varying perception. First, all three models shows better performance than the classic RUM-MNL model in terms of adjusted rho-squared. This implies that the signalled issue indeed is relevant in route choice decisions. Second, the RUM-MNW model outperforms the WRRM-MNL model in model fit. However, considering that the basic RRM-MNL model shows lower model fit than the RUM-MNL model (final likelihood value: -1012.287, and adjusted rho-squared value: 0.203). Finally, the proposed WRRM-MNF model shows the best model fit of all models in terms of adjusted rho-squared value. This conclusion is supported by the results of Ben-Akiva and Swait’s test for non-nested models (Ben-Akiva and Swait, 1986), which shows that i) the probability that the WRRM-MNL model outperforms the WRRM-MNF model is approximates zero ( ≤ (−5.04) ≅ 0.00), ii) the probability that the RUM-MNW model outperforms the WRRM-MNF model approximates zero ( ≤ (−2.76) ≅ 0.00), and iii) the probability that the RUM-MNL model outperforms the WRRM-MNF model approximates zero ( ≤ (−5.29) ≅ 0.00).
Publisher Copyright:
© 2018 Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Because choice probabilities of the well-known multinomial logit model only depend on attribute differences, the absolute values of the attributes do not have any effect on choice probabilities. Consequently, the model may have some counterintuitive results, particularly if choice sets differ substantially. Recently, researchers have proposed two alternative approaches to address this potential problem. One approach involves relaxing the assumption of independently and identically Gumbel distributed errors by assuming that a larger (dis)utility leads a larger error variance. The second approach substitutes the physical attributes by perceived values according to psycho-physical laws, assuming the perception of objective differences depends on absolute attribute intensity. This paper summarizes the methodologies, and explores the performance of a combination of these approaches using a numerical example and an empirical data set about revealed preferences regarding mode choice behaviour.
AB - Because choice probabilities of the well-known multinomial logit model only depend on attribute differences, the absolute values of the attributes do not have any effect on choice probabilities. Consequently, the model may have some counterintuitive results, particularly if choice sets differ substantially. Recently, researchers have proposed two alternative approaches to address this potential problem. One approach involves relaxing the assumption of independently and identically Gumbel distributed errors by assuming that a larger (dis)utility leads a larger error variance. The second approach substitutes the physical attributes by perceived values according to psycho-physical laws, assuming the perception of objective differences depends on absolute attribute intensity. This paper summarizes the methodologies, and explores the performance of a combination of these approaches using a numerical example and an empirical data set about revealed preferences regarding mode choice behaviour.
KW - Discrete Choice Models
KW - Perception
KW - Travel Behaviour
UR - http://www.scopus.com/inward/record.url?scp=85064655224&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85064655224
T3 - Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
SP - 183
EP - 189
BT - Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
A2 - Gu, Weihua
A2 - Wang, Shuaian
PB - Hong Kong Society for Transportation Studies Limited
Y2 - 8 December 2018 through 10 December 2018
ER -