2011
DOI: 10.1016/j.sbspro.2011.08.096
|View full text |Cite
|
Sign up to set email alerts
|

Applying Integrated Hierarchical Information Integration to Mode Choice Modelling in Public Transport

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2011
2011
2020
2020

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 10 publications
(8 citation statements)
references
References 14 publications
0
8
0
Order By: Relevance
“…Discrete Mode Choice Models: Discrete choice models can describe many forms, such as binary logit, binary probit, multinomial logit, conditional logit, multinomial probit, nested logit, generalized extreme value models, mixed logit and exploded logit. Discrete choice models explain and predict choices between two or more distinct alternatives [118][119][120][121].…”
mentioning
confidence: 99%
“…Discrete Mode Choice Models: Discrete choice models can describe many forms, such as binary logit, binary probit, multinomial logit, conditional logit, multinomial probit, nested logit, generalized extreme value models, mixed logit and exploded logit. Discrete choice models explain and predict choices between two or more distinct alternatives [118][119][120][121].…”
mentioning
confidence: 99%
“…Furthermore, this study adds additional support to other published examples for the use of a hybrid design of stated preference study, using CA and a DCE, to effectively identify preferences for large numbers of attributes. [16][17][18][19][20][21][22] To facilitate informed decision making, midwives perceived that parents needed a range of information about NBSP. Among these types of information were the names of the conditions being screened for and details about how the sample would be taken.…”
Section: Discussionmentioning
confidence: 99%
“…Such hybrid models have previously been used in health and transport economics and allow the valuation of a large number of attributes that would be cognitively demanding if they had all been included in a traditional DCE. [16][17][18][19][20][21][22] Hybrid experiments have been shown to produce similar estimates to DCEs containing all of the attributes and levels. 19,20 The design used in this study was similar to the published hybrid stated preference survey used to elicit the preferences of parents for the process and outcomes of NBS information provision.…”
Section: Methodsmentioning
confidence: 99%
“…When comparing supermarkets it was assumed that an assessment was first made of "convenience" based on the 11 attributes, and the other three constructs similarly, and then an assessment of the supermarket as a whole was made based on the levels of the four constructs. Integrated choice experiments have been used in several fields including transport (Keuchel and Richter 2011), residential markets (note, as hierarchical information integration) (Vyvere, Oppewal, and Timmermans 1998), and marketing (Oppewal, Louviere, and Timmermans 1994). When applied empirically, respondents are required to complete sub-experiments where they evaluate only elements of the overall problem, and then these sub-experiments are combined to give an overall analysis.…”
Section: Integrated Choice Experimentsmentioning
confidence: 99%