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Search Strategy for nested Logit Tree Structure: A Case Study of Rural Feeder Service to Bus Stop

Sekhar Das, Sudhanshu and Ghosh, Santanu and Maitra, Bhargab and Boltze, Manfred (2012):
Search Strategy for nested Logit Tree Structure: A Case Study of Rural Feeder Service to Bus Stop.
In: International Journal for Traffic and Transport Engineering, (Volume 2), Scientific Research Center Ltd., pp. 333-346, ISSN 2217-544X, [Online-Edition: http://www.ijtte.com/uploads/2012-12-05/5ebd8343-34d0-23d9IJ...],
[Article]

Abstract

Several approaches have been suggested by researchers for identifying the best feasible tree structure for Nested Logit (NL) model. This paper demonstrates an experience of applying those approaches while identifying the best feasible tree structure for NL model with reference to a case study of feeder service to bus stops in rural India. Heteroscedastic Extreme Value (HEV) model, fully degenerated tree structure NL (DGNL) model and several nested logit models based on natural partition principle were developed and analyzed for identifying the most optimal NL model. The results presented in the paper are case specific, but the experiences documented could be useful for selecting the optimal tree structure for NL model in other cases.

Item Type: Article
Erschienen: 2012
Creators: Sekhar Das, Sudhanshu and Ghosh, Santanu and Maitra, Bhargab and Boltze, Manfred
Title: Search Strategy for nested Logit Tree Structure: A Case Study of Rural Feeder Service to Bus Stop
Language: English
Abstract:

Several approaches have been suggested by researchers for identifying the best feasible tree structure for Nested Logit (NL) model. This paper demonstrates an experience of applying those approaches while identifying the best feasible tree structure for NL model with reference to a case study of feeder service to bus stops in rural India. Heteroscedastic Extreme Value (HEV) model, fully degenerated tree structure NL (DGNL) model and several nested logit models based on natural partition principle were developed and analyzed for identifying the most optimal NL model. The results presented in the paper are case specific, but the experiences documented could be useful for selecting the optimal tree structure for NL model in other cases.

Journal or Publication Title: International Journal for Traffic and Transport Engineering
Number: Volume 2
Publisher: Scientific Research Center Ltd.
Uncontrolled Keywords: Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Institutes of Transportation > Institute for Transport Planning and Traffic Engineering
13 Department of Civil and Environmental Engineering Sciences > Institutes of Transportation
13 Department of Civil and Environmental Engineering Sciences
Date Deposited: 28 Apr 2017 07:26
Official URL: http://www.ijtte.com/uploads/2012-12-05/5ebd8343-34d0-23d9IJ...
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