scholarly journals THE INFLUENCE OF SOCIOECONOMIC STATUS ON THE MODES CHOICE OF TRANSPORTATION IN MANADO CITY

2022 ◽  
pp. 1-8
Author(s):  
Tampanatu Parengkuan Fransiscus Sompie
Keyword(s):  
Socioeconomic Status ◽  
Public Transportation ◽  
Multinomial Logistic Regression ◽  
Mode Choice ◽  
Vehicle Ownership ◽  
Validity And Reliability ◽  
Transportation Mode ◽  
Multinomial Logistic Regression Analysis ◽  
Questionnaire Surveys ◽  
Transportation Mode Choice

Good infrastructure and transportation facilities move people and goods take place safely and economically in terms of time and cost. The trips made by people on weekdays or weekends affect environmental conditions in the area. The purpose of this paper is to find out the influence of socioeconomic status on modes choice of transportation both on weekdays and weekends. The study location is in Manado Municipality. There are 3 (three) modes of transportation reviewed, i.e. private cars, motorcycles, and public transportation. Indicators of socioeconomics status of transportation users are age, education, occupation, income, number of family members, and vehicle ownership. Data regarding the modes of transportation and socioeconomic status of travelers were obtained through questionnaire surveys. SEM-AMOS was used to measure the validity and reliability of the data. The probability of the mode choice on weekdays and weekends was analyzed using multinomial logistic regression analysis. The results showed that the socioeconomic status of the traveler has an influence on the mode choice of transportation by 49.2% on weekends and 49.5% on weekdays. Furthermore, the probability of transportation mode choice on weekends is the car by 88.4%, and on weekdays is motorcycles by 71.6%.

A Study on the Transportation Mode Choice Behaviour of Individuals With Different Socio-Economic Status

2018 ◽  
pp. 476-493
Author(s):  
Arun Bajracharya
Keyword(s):  
Public Transportation ◽  
Economic Status ◽  
Mode Choice ◽  
Lower Class ◽  
Upper Class ◽  
Choice Behaviour ◽  
Transportation Mode ◽  
Socio Economic Status ◽  
Private Car ◽  
Transportation Mode Choice

This chapter presents a study on the transportation mode choice behaviour of individuals with different socio-economic status. A previously developed system dynamics model has been adopted by differentiating the population mass into upper, middle, and lower classes. The simulation experiments with the model revealed that generally the upper class individuals would be more inclined to use a private car (PC) instead of public transportation (PT) when their tendency is compared to middle and lower class individuals. It was also observed that lower class individuals would be more willing to use PT instead of PC when their tendency is compared to middle and upper class individuals. As such, it would be difficult to encourage the upper class individuals to use PT instead of PC, and it would be successively easier to do so in the case of middle and lower class individuals. However, the results also indicated that under certain different circumstances, the upper class individuals would also prefer to go for PT, and the lower class ones could prefer to own and use PC instead of PT.

Transportation Mode Choice

1981 ◽  
Vol 13 (9) ◽  
pp. 1163-1174 ◽  
Author(s):  
D Kahn ◽  
J L Deneubourg ◽  
A de Palma
Keyword(s):  
Public Transportation ◽  
Mode Choice ◽  
Relative Number ◽  
Individual Behavior ◽  
Transportation Mode ◽  
Critical Thresholds ◽  
Transportation Service ◽  
The Cost ◽  
Transportation Mode Choice

This paper presents a dynamic model of transportation mode choice and evolution of public transportation service based on some simple assumptions of individual behavior and economic necessities for providing transportation service. Critical values are shown to exist for the fares charged, for the cost of providing service, for the demand and supply of transportation, and for other parameters at which the system will bifurcate to different possible states of the system; critical thresholds must be reached in the quality of the network to observe its growth. Also shown is the role of history and the role that fluctuations in individual behavior and mode strategy play in the way the system structures, that is, in the evolution of the relative number of users of each mode and in the level of service obtained.

scholarly journals Using neural nets to predict transportation mode choice: Amsterdam network change analysis

2021 ◽  
Vol 12 (1) ◽  
pp. 121-135
Author(s):  
Ruurd Buijs ◽  
Thomas Koch ◽  
Elenna Dugundji
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Mode Choice ◽  
Neural Nets ◽  
Neural Net ◽  
Classification Problems ◽  
Change Analysis ◽  
Transportation Mode ◽  
The North ◽  
Transportation Mode Choice

AbstractIn the Amsterdam metropolitan area, the opening of a new metro line along the north–south axis of the city has introduced a significant change in the region’s public transportation network. Mode choice analysis can help in assessment of changes in traveler behavior that occurred after the opening of the new metro line. As it is known that artificial neural nets excel at complex classification problems, this paper aims to investigate an approach where the traveler’s transportation mode is predicted through a neural net, trained on choice sets and user specific attributes inferred from the data. The method shows promising results. It is shown that such models perform better when it is asked to predict the choice of mode for trips which take place on the same underlying transportation network as the data with which the model is trained. This difference in performance is observed to be especially high for trips from and to certain areas that were impacted by the introduction of the north–south line, indicating possible changes in behavioural patterns, entailing interesting possible directions for further research.

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