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.

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.

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.

Optimizing the spatial relocation of hospitals to reduce urban traffic congestion: A case study of Beijing

2019 ◽  
Vol 23 (2) ◽  
pp. 365-386 ◽  
Author(s):  
Yuxia Wang ◽  
Daoqin Tong ◽  
Weimin Li ◽  
Yu Liu
Keyword(s):  
Traffic Congestion ◽  
Urban Traffic

scholarly journals Research on Congestion Pricing in Multimode Traffic considering Delay and Emission

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Hongna Dai ◽  
Enjian Yao ◽  
Rui Zhao
Keyword(s):  
Bilevel Programming ◽  
Traffic Congestion ◽  
Transportation Network ◽  
Rapid Development ◽  
Congestion Pricing ◽  
Urban Traffic ◽  
Pricing Model ◽  
Network Efficiency ◽  
Traffic Demand ◽  
Model Based

Rapid development of urbanization and automation has resulted in serious urban traffic congestion and air pollution problems in many Chinese cities recently. As a traffic demand management strategy, congestion pricing is acknowledged to be effective in alleviating the traffic congestion and improving the efficiency of traffic system. This paper proposes an urban traffic congestion pricing model based on the consideration of transportation network efficiency and environment effects. First, the congestion pricing problem under multimode (i.e., car mode and bus mode) urban traffic network condition is investigated. Second, a traffic congestion pricing model based on bilevel programming is formulated for a dual-mode urban transportation network, in which the delay and emission of vehicles are considered. Third, an improved mathematical algorithm combining successive average method with the genetic algorithm is proposed to solve the bilevel programming problem. Finally, a numerical experiment based on a hypothetical network is performed to validate the proposed congestion pricing model and algorithm.

scholarly journals Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Qiangqiang Ma ◽  
Wentao Li ◽  
Yongjun Zhang
Keyword(s):  
Neural Network ◽  
Numerical Simulation ◽  
Risk Assessment ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
City Size ◽  
Tunnel Construction ◽  
Subway Tunnel ◽  
Settlement Analysis

Under the background of rapid economic development and the continuous expansion of city size, people’s travel is deeply troubled by the problem of urban traffic congestion. Subway is an effective way to relieve traffic pressure and plays an important role in its use. In the process of building the city subway, the excavation of the underground tunnel is the most critical. However, the excavation of the tunnel will inevitably disturb the nearby soil, change the stratum stress conditions, and make the stress distribution uneven. If the surface settlement is too large, it will not only affect the normal construction of the tunnel but also cause damage to the surrounding buildings (structures), roads, underground pipelines, and so on, resulting in very serious malignant consequences. In this study, Cuobuling Station is taken as a case study. First, the construction status of the subway tunnel in the station is analyzed, and then the monitoring results are analyzed. According to the cross-section settlement law, the numerical simulation and neural network are used to build a model, calculate the numerical simulation results, and carry out a risk assessment of regression model. Finally, combined with the tunnel construction situation of the station, according to the risk assessment results, the concrete measures are put forward to deal with the subway tunnel construction settlement problem.

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.

Enterprise knowledge management model based on China’s practice and case study

2012 ◽  
Vol 28 (2) ◽  
pp. 324-330 ◽  
Author(s):  
Jingyuan Zhao ◽  
Patricia Ordóñez de Pablos ◽  
Zhongying Qi
Keyword(s):  
Knowledge Management ◽  
Management Model ◽  
Model Based
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