{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:52:16Z","timestamp":1760233936867,"version":"build-2065373602"},"reference-count":16,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,3,6]],"date-time":"2021-03-06T00:00:00Z","timestamp":1614988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>A choice to use a seat belt is largely dependent on the psychology of the vehicles\u2019 occupants, and thus those decisions are expected to be characterized by preference heterogeneity. Despite the importance of seat belt use on the safety of the roadways, the majority of existing studies ignored the heterogeneity in the data and used a very standard statistical or descriptive method to identify the factors of using a seatbelt. Application of the right statistical method is of crucial importance to unlock the underlying factors of the choice being made by vehicles\u2019 occupants. Thus, this study was conducted to identify the contributory factors to the front-seat passengers\u2019 choice of seat belt usage, while accounting for the choice preference heterogeneity. The latent class model has been offered to replace the mixed logit model by replacing a continuous distribution with a discrete one. However, one of the shortcomings of the latent class model is that the homogeneity is assumed across a same class. A further extension is to relax the assumption of homogeneity by allowing some parameters to vary across the same group. The model could still be extended to overlay some attributes by considering attributes non-attendance (ANA), and aggregation of common-metric attributes (ACMA). Thus, this study was conducted to make a comparison across goodness of fit of the discussed models. Beside a comparison based on goodness of fit, the share of individuals in each class was used to see how it changes based on various model specifications. In summary, the results indicated that adding another layer to account for the heterogeneity within the same class of the latent class (LC) model, and accounting for ANA and ACMA would improve the model fit. It has been discussed in the content of the manuscript that accounting for ANA, ACMA and an extra layer of heterogeneity does not just improve the model goodness of fit, but largely impacts the share of class allocation of the models.<\/jats:p>","DOI":"10.3390\/a14030084","type":"journal-article","created":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T20:20:43Z","timestamp":1615148443000},"page":"84","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Accounting for Attribute Non-Attendance and Common-Metric Aggregation in the Choice of Seat Belt Use, a Latent Class Model with Preference Heterogeneity"],"prefix":"10.3390","volume":"14","author":[{"given":"Mahdi","family":"Rezapour","sequence":"first","affiliation":[{"name":"Wyoming Technology Transfer Center Laramie, Laramie, WY 82071, USA"}]},{"given":"Khaled","family":"Ksaibati","sequence":"additional","affiliation":[{"name":"Wyoming Technology Transfer Center Laramie, Laramie, WY 82071, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,6]]},"reference":[{"key":"ref_1","unstructured":"Centers for Disease Control and Prevention (2015). Web-Based Injury Statistics Query and Reporting System (WISQARS)."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"672","DOI":"10.15585\/mmwr.mm6526e1","article-title":"Vital signs: Motor vehicle injury prevention\u2014United States and 19 comparison countries","volume":"65","author":"Ederer","year":"2016","journal-title":"Morb. Mortal. Weekly Rep."},{"key":"ref_3","unstructured":"National Highway Traffic Safety Administration (2017). Occupant Protection in Passenger Vehicles. (DOT HS 812 374)."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Rezapour, M., and Ksaibati, K. (2021). Accommodating Taste and Scale Heterogeneity for Front-Seat Passenger\u2019 Choice of Seat Belt Usage. Mathematics, 9.","DOI":"10.3390\/math9050460"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1287\/mksc.1090.0508","article-title":"The generalized multinomial logit model: Accounting for scale and coefficient heterogeneity","volume":"29","author":"Fiebig","year":"2010","journal-title":"Mark. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1007\/s11116-010-9259-z","article-title":"Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models","volume":"37","author":"Greene","year":"2010","journal-title":"Transportation"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1016\/S0191-2615(02)00046-2","article-title":"A latent class model for discrete choice analysis: Contrasts with mixed logit","volume":"37","author":"Greene","year":"2003","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1897","DOI":"10.1080\/00036846.2011.650325","article-title":"Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model","volume":"45","author":"Greene","year":"2013","journal-title":"Appl. Econ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1016\/j.eneco.2013.08.009","article-title":"The influence of rebate programs on the demand for water heaters: The case of New South Wales","volume":"40","author":"Wasi","year":"2013","journal-title":"Energy Econ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1007\/s11116-012-9447-0","article-title":"Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: A warning on potential confounding","volume":"40","author":"Hensher","year":"2013","journal-title":"Transportation"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1016\/j.tre.2008.12.001","article-title":"Simplifying choice through attribute preservation or non-attendance: Implications for willingness to pay","volume":"45","author":"Hensher","year":"2009","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1007\/s11116-012-9438-1","article-title":"It\u2019s not that I don\u2019t care, I just don\u2019t care very much: Confounding between attribute non-attendance and taste heterogeneity","volume":"40","author":"Hess","year":"2013","journal-title":"Transportation"},{"key":"ref_13","unstructured":"National Highway Traffic Safety Administration (2000). Uniform Criteria for State Observational Surveys of Seat Belt Use. Fed. Regist., 63, 46389\u201346394. Available online: https:\/\/www.federalregister.gov\/documents\/2011\/04\/01\/2011-7632\/uniform-criteria-for-state-observational-surveys-of-seat-belt-use."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.tre.2007.01.002","article-title":"The role of attribute processing strategies in estimating the preferences of road freight stakeholders","volume":"44","author":"Puckett","year":"2008","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_15","unstructured":"Hess, S., and Rose, J.M. (2007, January 2\u20135). A latent class approach to modelling heterogeneous information processing strategies in SP studies. Proceedings of the Oslo Workshop on Valuation Methods in Transport Planning, Oslo, Norway."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1007\/s00181-009-0310-x","article-title":"Non-attendance and dual processing of common-metric attributes in choice analysis: A latent class specification","volume":"39","author":"Hensher","year":"2010","journal-title":"Empir. Econ."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/14\/3\/84\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:34:15Z","timestamp":1760160855000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/14\/3\/84"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,6]]},"references-count":16,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["a14030084"],"URL":"https:\/\/doi.org\/10.3390\/a14030084","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2021,3,6]]}}}