Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application S Hess, D Palma Journal of choice modelling 32, 100170, 2019 | 627 | 2019 |
Estimation of value of travel-time savings using mixed logit models S Hess, M Bierlaire, JW Polak Transportation Research Part A: Policy and Practice 39 (2-3), 221-236, 2005 | 553 | 2005 |
On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit model for vehicle choice S Hess, KE Train, JW Polak Transportation Research Part B: Methodological 40 (2), 147-163, 2006 | 487 | 2006 |
Assuring finite moments for willingness to pay in random coefficient models A Daly, S Hess, K Train Transportation 39, 19-31, 2012 | 407 | 2012 |
Mixed logit modelling of airport choice in multi-airport regions S Hess, JW Polak Journal of Air Transport Management 11 (2), 59-68, 2005 | 378 | 2005 |
Correlation and scale in mixed logit models S Hess, K Train Journal of choice modelling 23, 1-8, 2017 | 343 | 2017 |
Modelling airport and airline choice behaviour with the use of stated preference survey data S Hess, T Adler, JW Polak Transportation Research Part E: Logistics and Transportation Review 43 (3 …, 2007 | 328 | 2007 |
Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour A Daly, S Hess, B Patruni, D Potoglou, C Rohr Transportation 39, 267-297, 2012 | 323 | 2012 |
Approximation of Bayesian efficiency in experimental choice designs MCJ Bliemer, JM Rose, S Hess Journal of Choice Modelling 1 (1), 98-126, 2008 | 277 | 2008 |
Using conditioning on observed choices to retrieve individual-specific attribute processing strategies S Hess, DA Hensher Transportation Research Part B: Methodological 44 (6), 781-790, 2010 | 258 | 2010 |
Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies S Hess, A Stathopoulos, A Daly Transportation 39, 565-591, 2012 | 255 | 2012 |
Can scale and coefficient heterogeneity be separated in random coefficients models? S Hess, JM Rose Transportation 39, 1225-1239, 2012 | 233 | 2012 |
Asymmetric preference formation in willingness to pay estimates in discrete choice models S Hess, JM Rose, DA Hensher Transportation Research Part E: Logistics and Transportation Review 44 (5 …, 2008 | 225 | 2008 |
Not bored yet–revisiting respondent fatigue in stated choice experiments S Hess, DA Hensher, A Daly Transportation research part A: policy and practice 46 (3), 626-644, 2012 | 223 | 2012 |
Income and distance elasticities of values of travel time savings: New Swiss results KW Axhausen, S Hess, A König, G Abay, JJ Bates, M Bierlaire Transport Policy 15 (3), 173-185, 2008 | 186 | 2008 |
It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity S Hess, A Stathopoulos, D Campbell, V O’Neill, S Caussade Transportation 40, 583-607, 2013 | 185 | 2013 |
A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study S Hess, M Fowler, T Adler, A Bahreinian Transportation 39, 593-625, 2012 | 179 | 2012 |
Handbook of choice modelling S Hess, A Daly Edward Elgar Publishing, 2014 | 178* | 2014 |
Calculating errors for measures derived from choice modelling estimates A Daly, S Hess, G de Jong Transportation Research Part B: Methodological 46 (2), 333-341, 2012 | 178 | 2012 |
Accounting for latent attitudes in willingness-to-pay studies: the case of coastal water quality improvements in Tobago S Hess, N Beharry-Borg Environmental and Resource Economics 52, 109-131, 2012 | 173 | 2012 |