scholarly journals System Dynamics Modeling of Dockless Bike-Sharing Program Operations: A Case Study of Mobike in Beijing, China

2019 ◽  
Vol 11 (6) ◽  
pp. 1601 ◽  
Author(s):  
Tianjian Yang ◽  
Ye Li ◽  
Simin Zhou
Keyword(s):  
System Dynamics ◽  
Traffic Congestion ◽  
Government Regulation ◽  
New Technologies ◽  
Urban Traffic ◽  
Dynamics Simulation ◽  
Dynamics Modeling ◽  
Improvement Strategies ◽  
Bike Sharing

In China, dockless bike-sharing programs (DBSPs) have changed people’s travel modes, alleviated urban traffic congestion, and reduced carbon emissions. However, a number of DBSPs have experienced financial crises since 2018. This means that research on DBSPs must be considered not only in terms of the environment and technology, but also in the operation of the program. In this paper, we modeled the DBSP operations in a certain area using a system dynamics simulation approach. The main purpose was to explore the dynamics of the program’s operation process and evaluate possible improvement strategies for maximizing the revenue of the overall DBSP. Specifically, the analysis focused on the economic profits of DBSPs in an environment of competition and government regulation. The research findings revealed that the dockless bike-sharing industry has great economic profits, but in the current environment, the market needs to be regulated by the local government. If a DBSP does not introduce new technologies or find new profit channels, it will be difficult to develop sustainably by only relying on riding profits. In addition, we provide a case study of Mobike’s operations in Beijing to support these findings and validate the developed model. Finally, we discuss Mobike’s possible improvement strategies.

scholarly journals Engaging Stakeholders in Urban Traffic Restriction Policy Assessment Using System Dynamics: The Case Study of Xi’an City, China

2019 ◽  
Vol 11 (14) ◽  
pp. 3930 ◽  
Author(s):  
Jia Shi ◽  
Xuesong Guo ◽  
Xiangnan Hu
Keyword(s):  
System Dynamics ◽  
Public Transportation ◽  
Urban Traffic ◽  
System Thinking ◽  
Political Support ◽  
Annual Growth Rate ◽  
Dynamics Modeling ◽  
Policy Assessment ◽  
Assessment Results

With the purpose of limiting the drastically increasing quantity of travel volumes and the sustainability of urban traffic systems, many cities have implemented urban traffic restriction (UTR) policies. However, insufficient stakeholder involvement in UTR policy assessment often leads to a lack of social and political support, in addition to a lack of acceptability with respect to policy implementation. In this background, participatory system dynamics modeling (PSDM) is presented as a methodology to engage stakeholders in UTR policy assessment. By the proposed methodology, a comprehensive case study of UTR policy in the city of Xi’an was illustrated. Based on the assessment results, the leverage point influencing the performance of the UTR policy was identified and discussed, with different policy scenarios simulated and tested. The simulation results show that developing public transportation while implementing UTR policy was indicated as the most reasonable solution at the present stage, and the annual growth rate of private cars should be monitored in the future. The results confirmed that the PSDM methodology can facilitate the system thinking of stakeholders, which is important to reach consensus-based assessment results and to enhance the social support for UTR policy.

scholarly journals The Traffic Congestion Charging Fee Management Model Based on the System Dynamics Approach

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Shuwei Jia ◽  
Kai Yang ◽  
Jinjin Zhao ◽  
Guangle Yan
Keyword(s):  
System Dynamics ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
Management Model ◽  
Model Based ◽  
The Social ◽  
Congestion Charging

In recent years, the condition of urban traffic congestion in China has become more and more aggravated. Thus, from the social and environmental perspective, this paper has proposed a traffic congestion charging fee (TCCF) management model based on the system dynamics approach, taking Shanghai as a case study. The system dynamics approach applied in this paper focuses on the dynamic interrelations among some major variables in the TCCF management model. Hence, through a detailed discussion on these major variables, which are amount of car trips (ACT), growth of cars (GC), amount of NOx generation (ANG), attraction degree of car trips (ADCT), per vehicle area of roads (PVAR), and degree of traffic congestion (DTC), it is discovered that, when TCCF equals 45 yuan/day ⁎ vehicle, the DTC has declined by 67.84% and the ANG by 33.09%, which is a relatively satisfying solution to the traffic congestion problem.

System Dynamics Modeling for a Public–Private Partnership Program to Promote Bicycle–Metro Integration Based on Evolutionary Game

2021 ◽  
pp. 036119812110124
Author(s):  
Jianming Cai ◽  
Yue Liang
Keyword(s):  
System Dynamics ◽  
Evolutionary Game ◽  
Public Private Partnership ◽  
Dynamics Simulation ◽  
Rail Transit ◽  
Long Distance ◽  
Private Partnership ◽  
Bike Sharing ◽  
Integration Mode ◽  
Partnership Program

A marriage between dockless bike-sharing systems and rail transit presents new opportunities for sustainable transportation in Chinese cities. However, how to promote the bicycle–metro integration mode remains largely unstudied. This paper designs a public–private partnership program to promote bicycle–metro integration. We consider the cooperation between bike-sharing companies and rail transit companies to improve both services and attract long-distance travelers to choose the bicycle–metro integration mode, with government subsidies. To analyze the proportion of each population participating in this public–private partnership program, we establish an evolutionary game model considering bike-sharing companies, rail transit companies, and long-distance travelers, and obtain eight scenarios of equilibriums and corresponding stable conditions. To prove the evolutionary game analysis, we construct a system dynamics simulation model and confirm that the public–private partnership project can be achieved in reality. We discuss key parameters that affect the final stable state through sensitivity analysis. The results demonstrate that by reasonably adjusting the values of parameters, each equilibrium can be changed into an optimal evolutionary stable strategy. This study can provide useful policy implications and operational recommendations for government agencies, bike-sharing companies, and transit authorities to promote bicycle–metro integration.

Systems dynamics model of a transition firm

2005 ◽  
Vol 31 (3) ◽  
pp. 67-80
Author(s):  
David L. Olson ◽  
Paraskeva Dimitrova‐Davidova ◽  
Ivan Stoykov
Keyword(s):  
System Dynamics ◽  
Multiple Criteria ◽  
Dynamics Simulation ◽  
Economic Systems ◽  
Eastern European ◽  
Dynamics Modeling ◽  
Dynamics Model ◽  
Pedagogical Tool ◽  
Modeling Process ◽  
Eastern European Countries

Eastern European countries are undergoing a transition from centralized economic planning to more open economic systems. A team of Bulgarian and U.S. researchers have collaborated to study this problem, using a real Bulgarian winery as the focus of their research. System dynamics modeling was selected as a tool to provide better understanding of management issues. A framework for future objective research, and as a pedagogical tool. This system dynamics model generates output on a number of measures. This paper presents initial output from the model, reporting profit ability, risk, and market share measures. These multiple measures create the need for multiple criteria analysis. Three multiple criteria techniques are demonstrated, and their value in the system dynamics simulation modeling process is discussed.

The Importance of Teaching GIS in Engineering

2013 ◽  
Vol 371 ◽  
pp. 744-748
Author(s):  
Tudor Morar ◽  
Ion Costescu ◽  
Bassian Hissink Muller
Keyword(s):  
Network Analysis ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
Infrared Imagery ◽  
Density Data ◽  
Buffer Analysis ◽  
Gis Data ◽  
Pedestrian Infrastructure ◽  
Housing Units

This paper offers researchers in transport engineering a method for reducing urban traffic congestion by planning for pedestrians. The method is designed for cities where GIS data is unavailable. Showing how this data can be obtained is one of the major contributions to the field. Other contributions are: using density data instead of infrared imagery to populate housing units with the number of inhabitants, performing network analysis instead of buffer analysis, eliminating homogeneity errors of the density dataset and offering a quantitative way of evaluating new investments in pedestrian infrastructure. The method is applied on a case study, namely the Romanian city of Timisoara. The conclusions present some applications of this technology and underline the importance of teaching it in engineering.

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