Results 21 to 30 of about 8,708,943 (308)
Semi-Automated Object-Based Classification of Coral Reef Habitat using Discrete Choice Models
Remote Sensing, 2015 As for terrestrial remote sensing, pixel-based classifiers have traditionally been used to map coral reef habitats. For pixel-based classifiers, habitat assignment is based on the spectral or textural properties of each individual pixel in the scene ...
Steven Saul, Sam Purkis
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Impact Of Congestion Pricing Policy Change On Mode Choice: The Case Of Tehran [PDF]
مهندسی عمران شریف, 2021 Transportation demand management policies are among the most important ways to reduce traffic congestion in cities and make transport infrastructures more efficient.
A.R. Mamdoohi, E. Hamrang Ghoortlar
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Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments [PDF]
, 2007 Discontinuous preferences, Discrete choice experiments, Multinomial error component logit model, Rural environmental landscapes, Willingness to pay,
Scarpa, R. +13 more
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Estimation of Random Utility Models in R: The mlogit Package
Journal of Statistical Software, 2020 mlogit is a package for R which enables the estimation of random utility models with choice situation and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are ...
Yves Croissant
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Discrete Choice Modelling for Transportation [PDF]
, 2001 This paper discusses important developments in discrete choice modeling for transportation applications. Since there have been a number of excellent recent surveys of the discrete choice literature aimed at transportation applications ( see Bhat, 1997 and 2000a), this paper will concentrate on new developments and areas given less weight in recent ...
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Discrete Choice Models for Commuting Interactions [PDF]
SSRN Electronic Journal, 2017 An emerging quantitative spatial economics literature models commuting interactions by a gravity equation that is mathematically equivalent to a multinomial logit model. This model is widely viewed as restrictive because of the independence of irrelevant alternatives (IIA) property that links substitution behavior in response to changes in the ...
Rouwendal, Jan +2 more
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Journal of Patient Experience, 2022 Evidence-based design has been fundamental to designing healthcare environments for patient outcomes and experience, yet few studies have studied how design factors drive patient choice.
May Woo MS +5 more
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A Discrete Choice Model for Subset Selection [PDF]
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018 Multinomial logistic regression is a classical technique for modeling how individuals choose an item from a finite set of alternatives. This methodology is a workhorse in both discrete choice theory and machine learning. However, it is unclear how to generalize multinomial logistic regression to subset selection, allowing the choice of more than one ...
Austin R. Benson +2 more
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Migratory flows of Andalusian workers (1979-1997): an economic analysis with individual data [PDF]
Investigaciones Regionales - Journal of Regional Research, 2003 The present article studies migration rates in between andalucian provincies and also between them and the rest of Spain. Using administrative data from Spanish Social Security, we are able to identify not only permanent migrants but also those who ...
Consuelo Gámez Amián +1 more
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Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data
Journal of Advanced Transportation, 2022 Mode choice behaviour is often modelled by discrete choice models, in which the utility of each mode is characterized by mode-specific parameters reflecting how strongly the utility of that mode depends on attributes such as travel speed and cost, and a ...
Gijsbert Koen de Clercq +3 more
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