Generalised Entropy Models for Spatial Choices

Informazioni relative al progetto

GEM

ID dell’accordo di sovvenzione: 740369

DOI 10.3030/740369

Progetto concluso

Data della firma CE 29 Agosto 2017

Data di avvio 1 Settembre 2017

Data di completamento 30 Giugno 2023

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale € 2 574 486,25

Contributo UE € 2 500 000,00

Coordinato da

KOBENHAVNS UNIVERSITET
Denmark

Obiettivo

This project will create a new category of models that can be used for describing a wide range of spatial choice problems in the social sciences. Spatial settings often have a very large number of choice alternatives. Discrete choice models are used extensively to make counterfactual predictions based on observations of individual choices. Despite forty years of research, current spatial choice models still have two major generic short-comings that seriously limit their ability to make counterfactual predictions. The new category of models will address these two short-comings.
The first issue is that substitution patterns between choice alternatives are very complex. The new models will allow substitution patterns to be specified in a general and transparent way. The second issue is that so-called endogeneity issues are pervasive, which violates the underlying statistical assumptions of common models and leads to inconsistent results. The new models will enable endogeneity issues to be dealt with in a simple way.

The new models rely on a concept of generalised entropy and are related via duality to classical discrete choice models. A generalised entropy model, or just GEM, will be specified in terms of a transformation from choice probabilities to utilities. This idea is completely new. It is the exact opposite of classical discrete choice models and makes available a whole universe of new models. Early results suggest that GEM will enable the short-comings of the standard models to be overcome.
The project develops GEM in three prototypical spatial contexts: equilibrium sorting of households, travel demand modelling, and network route choice.

Classical discrete choice models are extensively used for policy analysis and planning. Replacing these by GEM will therefore influence a multitude of decisions across a range of sectors of great societal importance with environmental, economic and welfare consequences that reach far into the future.

Campo scientifico

• scienze naturali › scienze fisiche › fisica teoretica › fisica delle particelle
• scienze sociali

Programma(i)

• H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme

Argomento(i)

• ERC-2016-ADG - ERC Advanced Grant

Invito a presentare proposte

ERC-2016-ADG

Meccanismo di finanziamento

ERC-ADG - Advanced Grant

Coordinatore

KOBENHAVNS UNIVERSITET

• Contribution nette de l'UE: € 2 060 000,00
• Indirizzo: Norregade 10 ; 1165 Kobenhavn ; Danimarca
• Regione: Danmark › Hovedstaden › Byen København
• Tipo di attività: Higher or Secondary Education Establishments
• Altri finanziamenti: € 65 305,00

Beneficiari (3)

KOBENHAVNS UNIVERSITET

Danimarca

• Contribution nette de l'UE: € 2 060 000,00
• Indirizzo: Norregade 10 ; 1165 Kobenhavn
• Regione: Danmark › Hovedstaden › Byen København
• Tipo di attività: Higher or Secondary Education Establishments
• Altri finanziamenti: € 65 305,00

UNIVERSITY COLLEGE LONDON

Regno Unito

• Contribution nette de l'UE: € 200 000,00
• Indirizzo: Gower street ; WC1E 6BT London
• Regione: London › Inner London — West › Camden and City of London
• Tipo di attività: Higher or Secondary Education Establishments
• Altri finanziamenti: € 1 181,25

DANMARKS TEKNISKE UNIVERSITET

Danimarca

• Contribution nette de l'UE: € 240 000,00
• Indirizzo: Anker engelunds vej 101 ; 2800 Kongens lyngby
• Regione: Danmark › Hovedstaden › Københavns omegn
• Tipo di attività: Higher or Secondary Education Establishments
• Altri finanziamenti: € 8 000,00