Modelling Mode Choice in Passenger Transport with Integrated Hierarchical Information Integration

Richter, Cornelia; Keuchel, Stephan

doi:10.1016/s1755-5345(13)70045-9

Cited by 22 publications

(14 citation statements)

References 18 publications

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“…Next, respondents were requested to choose a scenario that they were familiar with and to complete the SP survey [20][21][22]. The alternatives are described by four attributes: Commute time, transfer waiting time, and transfer-walking time.…”

Section: Survey Designmentioning

confidence: 99%

Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network

Liu

Chen

et al. 2019

Sustainability

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The primary purpose of this paper is to explore the mechanism of combined travel mode choice in multimodal networks. To meet the objective, stated preference survey and revealed preference survey are designed under short, middle, and long travel distance scenarios. Data including travelers’ socio-economic/personal information, trip characteristics, and mode choice are collected and analyzed. To recognize the influential factors of mode choice, a nested logit model is established. A value of time estimation and sensitivity analysis are conducted to quantify the influencing degree. The results reveal that cost has a significant influence on the short-distance travel mode; waiting time is perceived as the most important factor in short-distance scenario, and transfer-walking time as the most significant in middle and long distance scenario. Moreover, the traveler is more sensitive to the decrease of the transfer walking time than increase. Regarding socio-economic/personal information, travelers aged 40–50 prefer to choose combined travel mode than other ages; female travelers have a greater acceptance of metro-based transfer travel than male; individuals with higher economic level have a positive image of metro than bus.

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Section: Survey Designmentioning

confidence: 99%

Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network

Liu

Chen

et al. 2019

Sustainability

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“…Results of this study provide the approaches for predicting commute mode and trip chaining behavior simultaneously. Cornelia Richter et al (2012) [7] have done a research that the Hierarchical Information Integration approach is applied on MCM between a regional train, a (hypothetical) regional bus and a car (only available for car users). Lu et al (2011) [10] have studied a multimodal corridor transportation system with trip-chain costs.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of mode choice models of a trip maker for Hyderabad metropolitan city

Prasad

Molugaram

2018

IJET

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The rapid development of urbanization, population growth and the rapid development of economy resulted in the rapid increase in the total number of motor vehicles in the modern cities of India. Consequently, the importance of forecasting of the travel demand model has been increased in the recent years. Forecasting of the travel demand model involves various stages of trip generation and distribution, mode choice and traffic assignment. Among these stages, the mode choice analysis is a prominent stage as it considers the travelers mode to reach their destination. Further, study of mode choice criteria has become a vital area of research as individual and household sociodemographics exert a strong influence on travel mode choice decisions. There is a huge literature on travel model choice modeling to predict the range of trade-offs of transportation of commuters considering travel time and travel cost. In such literature intercity mode choice behavior has gained significant attention by several authors. In this study an attempt has made in order to calculate the model share of the different modes between the circle to the circle, and it is found that the modal share of 2-wheeler is 70 %, bus is about 23 % and car is about 7% of the total trips.

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“…Consideration of changes in the performance indicators of passenger transport systems were described in [29][30][31].…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

Investigation of approaches to modeling of intercity passenger transportation system

Dolya

Botsman

Kozhyna

2017

TAPR

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Modelling Mode Choice in Passenger Transport with Integrated Hierarchical Information Integration

Cited by 22 publications

References 18 publications

Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network

Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network

Development of mode choice models of a trip maker for Hyderabad metropolitan city

Investigation of approaches to modeling of intercity passenger transportation system

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