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  • Search: subject:"Multiple discrete-continuous models"
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Year of publication
Subject
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Multiple discrete continuous models 3 Accompaniment type 1 Activity location 1 Activity time use 1 Activity timing 1 Activity type 1 Activity-based travel analysis 1 Adult’s recreational activity 1 Algorithm 1 Algorithmus 1 Children’s discretionary activity 1 Children’s time-use 1 Crowdfunding 1 Daily vehicle type and use decisions 1 Discretionary activities 1 Intra-household interactions 1 Latent segmentation approaches 1 Mathematical programming 1 Mathematische Optimierung 1 Mileage 1 Multiple discrete-continuous models 1 Physical activity 1 Ranking method 1 Ranking-Verfahren 1 Theorie 1 Theory 1 Urban form 1 Weekend travel 1 algorithms 1 crowdfunding 1 multiple discrete continuous models 1 structural models 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 4 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 4 English 1
Author
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Bhat, Chandra 3 Sener, Ipek 2 Eluru, Naveen 1 Faghih-Imani, Ahmadreza 1 Lambrecht, Anja 1 Sobhani, Anae 1 Srinivasan, Sivaramakrishnan 1 Vana, Prasad 1
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Published in...
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Transportation 3 Transportation Research Part B: Methodological 1 Tuck School of Business Working Paper 1
Source
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RePEc 4 ECONIS (ZBW) 1
Showing 1 - 5 of 5
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The Role of Ranking Algorithms in Crowdfunding
Vana, Prasad; Lambrecht, Anja - 2022
Online platforms, marketplaces and retailers typically use ranking algorithms to determine the order in which hundreds or thousands of choices are presented to consumers. While ranking algorithms may aid consumer choice, there are concerns they may also lead to socially undesirable outcomes. In...
Persistent link: https://www.econbiz.de/10013405644
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A latent segmentation based multiple discrete continuous extreme value model
Sobhani, Anae; Eluru, Naveen; Faghih-Imani, Ahmadreza - In: Transportation Research Part B: Methodological 58 (2013) C, pp. 154-169
We examine an alternative method to incorporate potential presence of population heterogeneity within the Multiple Discrete Continuous Extreme Value (MDCEV) model structure. Towards this end, an endogenous segmentation approach is proposed that allocates decision makers probabilistically to...
Persistent link: https://www.econbiz.de/10010730395
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Modeling the spatial and temporal dimensions of recreational activity participation with a focus on physical activities
Sener, Ipek; Bhat, Chandra - In: Transportation 39 (2012) 3, pp. 627-656
Persistent link: https://www.econbiz.de/10010867369
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An analysis of the social context of children’s weekend discretionary activity participation
Sener, Ipek; Bhat, Chandra - In: Transportation 34 (2007) 6, pp. 697-721
Persistent link: https://www.econbiz.de/10005722779
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A multiple discrete-continuous model for independent- and joint-discretionary-activity participation decisions
Srinivasan, Sivaramakrishnan; Bhat, Chandra - In: Transportation 33 (2006) 5, pp. 497-515
This paper presents a multiple discrete-continuous econometric structure to model the daily time-investment decisions of couples in solo- and joint-discretionary activities incorporating intra-personal and inter-personal inter-dependencies. The empirical model was estimated using data from the...
Persistent link: https://www.econbiz.de/10005722807
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