2010Unpublished venueRequires access

Study of Urban Resident Travel Mode Choice Behavior

Huanhuan Yin, Hongzhi Guan, Tong Liu, Liyuan Gong, Juan Li

Open publisher page 4 citations

Abstract

Based on the theory of Multinomial Logit Model (ML) and its modeling method, this paper analyzes the factors that influence the travel mode choice of residents, referring to the urban resident trip investigation data of Jinan in 2009, and develops an urban resident travel mode choice model. The results show that there is a stable relationship between travel mode choice and personal characteristics, family characteristics, and trip characteristics. Through the guidance and adjustment of controllable factors, which can affect resident travel mode choice, the purpose of optimizing and adjusting the urban travel mode structure can be achieved.

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What this paper is about

Based on the theory of Multinomial Logit Model (ML) and its modeling method, this paper analyzes the factors that influence the travel mode choice of residents, referring to the urban resident trip investigation data of Jinan in 2009, and develops an urban resident travel mode choice model. The results show that there is a stable relationship between travel mode choice and personal characteristics, family characteristics, and trip characteristics. Through the guidance and adjustment of controllable factors, which can affect resident travel mode choice, the purpose of optimizing and adjusting the urban travel mode structure can be achieved.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Based on the theory of Multinomial Logit Model (ML) and its modeling method, this paper analyzes the factors that influence the travel mode choice of residents, referring to the urban resident trip investigation data of Jinan in 2009, and develops an urban resident travel mode choice model. The results show that there is a stable relationship between travel mode choice and personal characteristics, family characteristics, and trip characteristics. Through the guidance and adjustment of controllable factors, which can affect resident travel mode choice, the purpose of optimizing and adjusting the urban travel mode structure can be achieved.

Key concepts: Multinomial logistic regression, Mode (computer interface), Mode choice, Travel behavior, Affect (linguistics), Transport engineering, Computer science, Econometrics

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