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Published in Walter R. Paczkowski, Deep Data Analytics for New Product Development, 2020
Stated preference discrete choice experiments can be designed using JMP from the SAS Institute Inc. This software has a powerful platform for choice designs as well as a good platform for estimating choice models. Nlogit, an extension of the econometric software Limdep, is the gold standard in choice modeling. This package has all the latest developments in the choice analysis area as it should since its developer is a leading researcher in choice analysis.8 Stata will also handle choice estimation. R has packages for estimation but they are a challenge to use.
A comparative study of factors associated with motorcycle crash severities under different causal scenarios
Published in Journal of Transportation Safety & Security, 2023
Emmanuel Kofi Adanu, Abhay Lidbe, Jun Liu, Steven Jones
Log-likelihood ratio tests (Washington et al., 2011) were performed to determine whether separate models should be developed for all three causal scenarios. Based on the likelihood ratio tests performed, it was found that developing separate severity models was justified at 99% confidence level. Hence, three models: SVMCaF, MVMCaF, and MVMCnaF were developed. During model estimation, variables were included in the specification if they had t-statistics corresponding to the 90% confidence interval or above on a two-tailed t-test and the random parameters were included if their standard deviations had t-statistics corresponding to the 90% confidence interval or above. The mixed models in this study were estimated using LIMDEP NLOGIT version 6 software. The model estimation results with elasticities are presented in Tables 4–6.
Comparison of modelling methods accounting for temporal correlation in crash counts
Published in Journal of Transportation Safety & Security, 2020
Lai Zheng, Qinzhong Hou, Xianghai Meng
The RENB, MLNB, and GEE models are estimated using STATA 14. Because the maximum likelihood estimation of the RPNB is computationally cumbersome due to the required numerical integration of negative binomial function over the distribution of the random parameters, a simulated maximum likelihood estimation procedure implemented in LIMDEP for incorporating random parameters in count-data models was used. The NM model is estimated using R package “MGLM” (Zhang & Zhou, 2018). Model estimation results are shown in Table 3. It is noted that GEE models with different correlation structures are estimated and compared, and only the best model with autoregressive order 1 (AR-1) correlation structure is reported. The NB model that does not account for temporal correlation is also estimated as shown in the table.
Analysis of natural gas vehicle acceptance behavior for Klang Valley, Malaysia
Published in International Journal of Sustainable Transportation, 2021
By using the data collected from the survey, several models were tested with Limdep/Nlogit software to model the adoption preference and acceptance behavior of car users on NGV. By doing this, the interest of the potential users of NGV can be identified in addition to the perceptions of the current NGV users.