Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region

Motorcycles in Iran, especially in metropolises such as Tehran, are used extensively for various reasons such as low maintenance costs, high maneuverability, and the possibility of entering congestion priced zones without paying a toll. Nevertheless, motorcycles are involved in 25% of accidents and produce almost 30% of air and 50% of noise pollution in Tehran. Current research aims to investigate possible scenarios for reducing the use of motorcycles in Tehran’s traffic and transportation master plan strategies. After designing the scenarios, a stated preference method is used for gathering the required data from various groups of motorcycle riders in Tehran. More than 2,000 questionnaires were completed of which 1,766 were deemed acceptable for data entering and further analysis. Increasing the price of motorcycle maintenance and charging motorcycles to enter the congestion priced zone of Tehran (CPZT) were two main scenarios which were considered in this research. Multinomial and nested logit models were applied to analyze the trip choice behavior of motorcycle riders who had participated in the survey. Results indicated that strategies such as increasing motorcycle maintenance costs could be effective in reducing the use of motorcycles. For instance, increasing motorcycle maintenance costs by 4.7 times and imposing a 70,000 IRR toll price to enter the CP zone resulted in a 66% reduction in motorcycle mode choice by motorcycle riders.

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Pricing and mode choice based on nested logit model with trip-chain costs

Transport Policy ◽

10.1016/j.tranpol.2015.06.014 ◽

2015 ◽

Vol 44 ◽

pp. 76-88 ◽

Cited By ~ 28

Author(s):

Xiao-Shan Lu ◽

Tian-Liang Liu ◽

Hai-Jun Huang

Keyword(s):

Logit Model ◽

Mode Choice ◽

Nested Logit ◽

Nested Logit Model ◽

Trip Chain

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Application of Cross-Nested Logit Model to Mode Choice in Tel Aviv, Israel, Metropolitan Area

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1607-02 ◽

1997 ◽

Vol 1607 (1) ◽

pp. 6-15 ◽

Cited By ~ 162

Author(s):

Peter Vovsha

Keyword(s):

Logit Model ◽

Mode Choice ◽

Choice Models ◽

Urban Transport ◽

Transport Systems ◽

Light Rail ◽

Nested Logit ◽

Nested Logit Model ◽

Proposed Model ◽

The Cross

Currently, modal split modeling is done mainly by means of disaggregated mode choice models. The almost absolute dominance of multinomial and nested logit models over other mode choice models among applied transportation modelers is attributable to their theoretical soundness, to their simple and understandable analytical structure, and to the calibration procedures that have been developed. Typical urban transport systems, however, are characterized by a variety of modes including private (automobile), public transit (bus, suburban rail, light rail, and subway), and various combinations of these. Analysis reveals that the nested logit model based on the assumption of groupwise similarities among modes is not a suitable modeling tool in such situations. A cross-nested model that is derived from the generalized extreme value class and that can be thought of as a generalization of the nested logit model is proposed. The model takes into account the cross similarities between different pure and combined modes. The cross-nested structure allows for the introduction of the differentiated measurement of pairwise similarities among modes as opposed to the inflexible groupwise similarities permitted by the nested logit model. The proposed model is described, and it is compared with alternative modeling constructs.

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