2022ECS TransactionsRequires access

Modeling Work Trip Mode Choice in Post-Metro Bengaluru City

Dheeraj N Kumar, Sanjay Saxena, Parthan Kunhikrishnan, H S Jagadeesh

Open publisher page 1 citations

Abstract

Traffic congestion and emissions are the acute problems faced by most cities in the country. The cause for these problems could be increased usage of personal vehicles and lesser popularity of public transport. The aggregate effect of individual mode choice decisions reflects in traffic congestion and emissions in the city. To study these problems, it is essential to know the mode choice and the factors affecting it. Commute trips like work and school trips contribute heavily to these typical urban transportation problems. In the present study, attempts have been made to study the mode choice of working commuters in Bengaluru City. To achieve this, a household survey is conducted. Multinomial logit models are used to analyze the mode choice behavior of these individuals. Findings from the model revealed that individual characteristics like age, vehicle ownership, level of service characteristics such as travel time and travel cost, and subjective factors like comfort, security, and station environment significantly affect mode choice. Using the model developed, a policy has been proposed to predict the effect of restricting ownership of the second car on mode choice, resulting in about 2% decrease in car shares, which could reduce traffic congestion and pollution in the city.

About this research paper

What this paper is about

Traffic congestion and emissions are the acute problems faced by most cities in the country. The cause for these problems could be increased usage of personal vehicles and lesser popularity of public transport. The aggregate effect of individual mode choice decisions reflects in traffic congestion and emissions in the city. To study these problems, it is essential to know the mode choice and the factors affecting it. Commute trips like work and school trips contribute heavily to these typical urban transportation problems. In the present study, attempts have been made to study the mode choice of working commuters in Bengaluru City. To achieve this, a household survey is conducted. Multinomial logit models are used to analyze the mode choice behavior of these individuals. Findings from the model revealed that individual characteristics like age, vehicle ownership, level of service characteristics such as travel time and travel cost, and subjective factors like comfort, security, and station environment significantly affect mode choice. Using the model developed, a policy has been proposed to predict the effect of restricting ownership of the second car on mode choice, resulting in about 2% decrease in car shares, which could reduce traffic congestion and pollution in the city.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Traffic congestion and emissions are the acute problems faced by most cities in the country. The cause for these problems could be increased usage of personal vehicles and lesser popularity of public transport. The aggregate effect of individual mode choice decisions reflects in traffic congestion and emissions in the city. To study these problems, it is essential to know the mode choice and the factors affecting it. Commute trips like work and school trips contribute heavily to these typical urban transportation problems. In the present study, attempts have been made to study the mode choice of working commuters in Bengaluru City. To achieve this, a household survey is conducted. Multinomial logit models are used to analyze the mode choice behavior of these individuals. Findings from the model revealed that individual characteristics like age, vehicle ownership, level of service characteristics such as travel time and travel cost, and subjective factors like comfort, security, and station environment significantly affect mode choice. Using the model developed, a policy has been proposed to predict the effect of restricting ownership of the second car on mode choice, resulting in about 2% decrease in car shares, which could reduce traffic congestion and pollution in the city.

Key concepts: Mode choice, TRIPS architecture, Multinomial logistic regression, Traffic congestion, Popularity, Mode (computer interface), Transport engineering, Public transport

Related papers

Back to paper searchBrowse research topicsOriginal source
Modeling Work Trip Mode Choice in Post-Metro Bengaluru City — Research Paper | ScholarLens