## Optimization in locational and transport analysis |

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### Contents

Mathematical programming methods | 8 |

Random utility theory and probabilistic choice models | 46 |

Programming approaches to activity location and landuse evaluation | 85 |

Copyright | |

8 other sections not shown

### Common terms and phrases

A. G. Wilson aggregate allocation alternative analysis approach associated assumed assumptions basic employment behaviour bifurcation catastrophe theory Chapter choice model coefficients commodity component concave function considered constraint equations context corresponding cost curve defined demand derived differential equations discussed distribution dual program dual variables dynamic endogenous entropy-maximizing equilibrium points equivalent evaluation example exogenous Figure framework given group surplus input input-output model interaction inverse involves iterative Lagrangian land-use linear programming locational surplus logit model Lowry model mathematical programming matrix matrix inverse maximization methods model structure multinomial logit multiplier objective function optimization parameters particular planning constraints population presented primal produce programming models random utility rectangular input-output represented residential location retail sectors shopping centre solution spatial-interaction model spatially disaggregated submodels theoretical transport trip umnk unconstrained utility function values variance-covariance matrix Weibull distribution Wilson zone 1 zone