## Is There a Future for the MNL Model?, Part 1Institute of Transportation Studies, University of California, 1988 - Choice of transportation - 56 pages |

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alternative-dependent alternatives i,j analyzer assumed assumptions binary choice blue bus calculated calibration cars choice probability choice problem Clark approximation coefficients compared complete set Correlated MNL model criteria dependent deterministic terms Dogit exp(Vj expected value forecasting Fully Correlated MNL Gaudry and Dagenais GEV model Gumbel distribution Gumbel functions high speed trains homogeneous function IIA property independent alternatives Langdon linear long-distance lower level McFadden mean value MNL model family modal split mode choice decision Multinomial Logit multinomial probit Nested Logit approach Nested Logit model network illustration non-captives normal distribution parameters Pk population Probit model rail randomly distributed red bus reduced utility regarded result route satisfied Separated Split model shown simple MNL approach simple MNL formula simple MNL model stochastic terms subset taste variations three alternatives travel behavior travel demand uncorrelated upper level utility distribution utility functions utility maximization variances vector