Dynamic Models of Competition between Transportation Modes

1979 ◽  
Vol 11 (6) ◽  
pp. 665-673 ◽  
Author(s):  
J L Deneubourg ◽  
A de Palma ◽  
D Kahn
Keyword(s):  
Time Evolution ◽  
Human Behavior ◽  
Dynamic Models ◽  
Individual Behavior ◽  
Dynamic Approach ◽  
Transportation Mode ◽  
Evolutionary Path ◽  
Travel Choice ◽  
Transportation Modes ◽  
Transportation Mode Choice

We present a methodology to study the choice of transportation mode. It is dynamic and allows inherent fluctuations in individual behavior to play a role. The methodology has a deterministic aspect which yields the time evolution of the number of users for a transportation mode and it is based on certain assumptions about the attractivities of each mode, but it is always subject to fluctuations in human behavior. The problem then is to find the solutions of the deterministic equations describing the system and to examine the evolutionary path the system will take. Two models of competition between transportation-mode choice are developed to illustrate the methodology and to justify the dynamic approach to travel choice.

scholarly journals Jambi City community transportation modes and influencing factors

2020 ◽  
Vol 8 (5) ◽  
pp. 455-464
Author(s):  
Junaidi Junaidi ◽  
Yulmardi Yulmardi ◽  
Hardiani Hardiani
Keyword(s):  
Influencing Factors ◽  
Public Transportation ◽  
Secondary Data ◽  
Primary Data ◽  
Transportation Mode ◽  
City Community ◽  
Transportation Modes ◽  
Mode Of Transportation ◽  
Main Activity ◽  
Transportation Mode Choice

This study aims to analyze the Jambi City community transportation modes' needs and diversity and influencing factors. This study uses primary data and secondary data. Primary data comes from a sample of households in Jambi City. Meanwhile, secondary data comes from related agencies or institutions at the National, Provincial, and City of Jambi levels related to transportation macro conditions. This study uses descriptive statistical analysis to analyze the diversity of transportation modes used in Jambi City. Meanwhile, to analyze the factors that influence transportation mode choice, it is estimated using logit ordinal regression models. The analysis results found that the primary mode of transportation used by the Jambi City community was personal motorbikes. Public transportation is the second choice, and the use of private cars is the third option. The choice of transportation mode is influenced by gender, main activity, car ownership, motorcycle ownership, and household income.

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.

Using the System Dynamic Approach to Develop a Policy Scenario for Reducing CO2 Emissions from Tourism Travel

2019 ◽  
Vol 10 (3) ◽  
pp. 550
Author(s):  
Aries SUSANTY ◽  
Arfan BAKTHTIAR ◽  
Nia Budi PUSPITASARI ◽  
Siddiq PRASETYO
Keyword(s):  
Policy Implementation ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Dynamic Models ◽  
System Dynamic ◽  
Dynamic Approach ◽  
Local Authorities ◽  
Causal Loop ◽  
Transportation Modes ◽  
Flow Diagrams

This study has several purposes. The first is to determine the causal relationship between tourist transportation behaviour, the number of tourists, and the volume of CO2 emissions produced from tourist transportation to the Borobudur Temple. The second purpose is to use a system dynamic methodology to simulate a reduction in the amount of CO2 emissions from tourist transportation to the Borobudur Temple. Lastly, to identify the best policy with which to regulate tourist transportation to the Borobudur Temple. To achieve those purposes, the real systems are identified and translated into system dynamic models using causal-loop and stock-and-flow diagrams. The model consists of three sub-systems, i.e., the number of tourists, the modes of transportation, and the volume of CO2 emissions. Moreover, this study generated eight scenarios for comparison with respect to the volume of CO2 emissions resulting from several transportation modes. The result of simulation with system dynamic methodology indicated that the CO2 emissions produced by scenarios 1, 2, 3, and 4 are within the range of 1,800,000 kg CO2, which means that they approach the target of reducing CO2 emissions by 50% by 2035. This study provides essential insights for governmental and local authorities with respect to policy implementation.

scholarly journals The Influence of Demographic Matters and Interest on Passenger’s Switching Intention: Evidence of Travelers in the Developing Country Indonesia

2021 ◽  
Vol 15 (1) ◽  
pp. 122-132
Author(s):  
Icuk Rangga Bawono ◽  
Ratno Purnomo ◽  
Cris Kuntadi ◽  
Apriani Kartika Rahayu
Keyword(s):  
Response Rate ◽  
Jel Classification ◽  
Education Level ◽  
Switching Behavior ◽  
Future Research ◽  
Transportation Mode ◽  
Classification Code ◽  
Transportation Modes ◽  
Quantitative Descriptive ◽  
Potential Customers

Background: After the official operation of the Jakarta-Cikampek elevated highway, a socio-demographic picture of Indonesian travel passengers, as well as their interest in switching transportation preferences was provided. This elevated highway shortened travel time and discouraged users from changing to other transportation modes. This study is likely to become a future research foundation for the switching behavior of passengers. Objective: This study aims to analyze demographic factors and interests on passenger’s switching of transportation preference. Methods: A total of 720 questionnaires were distributed to land transportation passengers at concentrated points with a response rate of 89.17% and 642 valid answers. The obtained data were analyzed using quantitative descriptive techniques with cross tab methods. Results: The results showed that age, education level, and type of work influenced the desire of passengers to switch transportation modes, as opposed to gender. Most of the passengers interested in using land modes, such as the highway, were dominated by intercity between provinces travel buses and refused to change to other means of transportation. Meanwhile, passengers that used rented cars tended to switch to other forms of transportation. Conclusion: This research is useful and acts as a reference for managers of each transportation mode to set high priorities for particular consumers based on detailed socio-demographics to retain or attract new potential customers. JEL Classification Code: D12, L92, R41.

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.

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