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

Cai, Jianming; Liang, Yuzhang

doi:10.1177/03611981211012425

Cited by 10 publications

(7 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The aims of prediction include hypothesizing and simulating how an intervention might impact on and interact in a complex system [6] (Table 2), which was typically achieved in the included studies using SDM. Many SDM studies were conducted in relation to active transport (n = 10) [55][56][57][58][59][60][61][62][63][64]. Several tested the effects of different policies or interventions on outcomes such as cycling, walking, public transport and active transport to school [57,59,61,64], in some cases together with other outcomes such as injury, fuel costs, air pollution and carbon emissions [57,59].…”

Section: Prediction (Simulation)mentioning

confidence: 99%

A scoping review of systems approaches for increasing physical activity in populations

Nau

Bauman

Smith

et al. 2022

Health Res Policy Sys

View full text Add to dashboard Cite

Introduction The past decade has increasingly seen systems approaches as a featured theme in public health studies and policy documents. This trend is evident in the area of physical activity, which is a significant global health risk factor that is addressed in WHO’s Global Action Plan on Physical Activity. We undertook a comprehensive scoping review to characterize the application of systems approaches to physical activity, to develop a typology of the objectives, themes and methods of research papers that purported to apply systems thinking to this issue. Methods We searched electronic databases (PubMed, Web of Science, Scopus and PsycINFO) for studies published during the period 2010–2021 that explicitly applied systems approaches or methods to investigate and/or address population physical activity. A framework using systems-based methodological approaches was adapted to classify physical activity studies according to their predominant approach, covering basic descriptive, complex analytical and advanced forms of practice. We selected case studies from retained studies to depict the current “state of the art”. Results We included 155 articles in our narrative account. Literature reporting the application of systems approaches to physical activity is skewed towards basic methods and frameworks, with most attention devoted to conceptual framing and predictive modelling. There are few well-described examples of physical activity interventions which have been planned, implemented and evaluated using a systems perspective. There is some evidence of “retrofitted” complex system framing to describe programmes and interventions which were not designed as such. Discussion We propose a classification of systems-based approaches to physical activity promotion together with an explanation of the strategies encompassed. The classification is designed to stimulate debate amongst policy-makers, practitioners and researchers to inform the further implementation and evaluation of systems approaches to physical activity. Conclusion The use of systems approaches within the field of physical activity is at an early stage of development, with a preponderance of descriptive approaches and a dearth of more complex analyses. We need to see movement towards a more sophisticated research agenda spanning the development, implementation and evaluation of systems-level interventions.

show abstract

Section: Prediction (Simulation)mentioning

confidence: 99%

A scoping review of systems approaches for increasing physical activity in populations

Nau

Bauman

Smith

et al. 2022

Health Res Policy Sys

View full text Add to dashboard Cite

show abstract

“…The results show that when the degree of nodes in the network is large enough or there are large clusters in the network, information 1 will occupy an absolutely dominant position in the network. Cai and Liang ( 2021 ) discuss the influence of individuals' cognition of danger on the transmission rate in multi-coupled networks. The results show that the network structure has a significant relationship with disease control, and the greater the difference between network layers, the more difficult it is to control the disease.…”

Section: Related Workmentioning

confidence: 99%

Section: Sd Related Researchmentioning

confidence: 99%

Design of emotional branding communication model based on system dynamics in social media environment and its influence on new product sales

Yin

Tu²,

Zhao³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

In the current social media environment, emotional branding communication has become a common marketing tool for brand owners, and therefore it has become particularly important and urgent to study it. Based on the perspective of brand equity theory, combined with the new characteristics of marketing communication in the social media environment, this paper constructed an emotional branding communication model in the social media environment. The system dynamics (SD) method was used to simulate and analyze the new product marketing system to assess whether it could stir the emotional needs of the consumers and resonate within their hearts. This paper discusses the asymmetric communication of different brands regarding the same commodity to determine the impact of this exchange mechanism, that is, only the weak brands in the market initially adopt marketing methods, while the strong brands do not participate in social marketing activities. It was found that the influence of marketing frequency and marketing intensity on symmetric and asymmetric communications was different. In the face of different types of competitors, the marketing strategy of weak brands needs emphasis. Through unit consistency test, structure verification test, effectiveness, and rationality test, it was proven that the emotional branding communication model and new product sales interaction simulation model established in this paper were reasonable and effective.

show abstract

“…In recent years, more and more scholars have tried to apply game theory in the field of metro transportation, mainly in four aspects: pricing mechanism, traffic structure, risk management, and compensation mechanism. Gai et al [34] used evolutionary game theory to analyze the punishment mechanism for irregular parking of shared bicycles and to explore the operation and management mechanism of the integrated bicycle-metro model, of which the results provided effective policy suggestions for government agencies, shared bicycle companies, and traffic management departments. Wang [35] analyzed the three generations of bicycle-sharing systems based on game theory, of which the results can help design feasible strategies to mitigate or prevent overuse problems.…”

Section: Introductionmentioning

confidence: 99%

“…Because the essence of subsidies involves periodical adjustments by governments, this study proposes dynamic subsidies under a new background of phasing out subsidies, and it uses the replicator analysis method to model the decision-making process operation company. In addition, Cai et al [34] used rating data to evaluate bicycle-metro integration in the evolutionary game process. In this paper, the initial values of the model parameters were collected based on actual data, including: connection passenger flow of bicycle sharing, cost, subsidy, reward and punishment.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis on Sharing Bicycles and Metro Strategies: Impact of Phasing out Subsidies for Bicycle–Metro Integration Model

Jia

Chen

et al. 2022

Sustainability

View full text Add to dashboard Cite

The rapid development of sharing bicycles has facilitated the last mile of travel and provided new opportunities for the sustainable development of metro transportation. However, there is still insufficient literature on how to promote the bicycle–metro integration mode. This paper designs a bicycle–metro integrated model based on evolutionary game theory and explores the evolutionary mechanism of the sharing of bicycles connection system and metro system under the subsidy phasing out. The conditions for achieving different equilibrium states were discussed based on the replication dynamics equation. In order to prove the evolutionary game analysis, the system dynamics simulation model was used to reveal the effects of the cost factor, subsidy factor, reward, and penalty factors on the equilibrium of the integrated model. Moreover, the values of the influence factors that make the system reach the optimal equilibrium were obtained through sensitivity analysis. The results show that by reasonably adjusting the values of the parameters, sharing bicycles connection systems, metro systems and connection travelers can reach an equilibrium state where they are willing to cooperate. Subsidy phasing-out policies for travelers were key to promoting the equilibrium of the model. The unit price of shared bicycles has a greater impact on users, and the irregular parking ratio changes have a greater impact on the benefits of travelers compared to the benefits of the metro system. In order to promote bicycle–metro integration and enhance the attractiveness of metro transportation, policies designed for participants should be integrated with dynamic evolution.

show abstract

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

Cited by 10 publications

References 62 publications

A scoping review of systems approaches for increasing physical activity in populations

A scoping review of systems approaches for increasing physical activity in populations

Design of emotional branding communication model based on system dynamics in social media environment and its influence on new product sales

Evolutionary Game Analysis on Sharing Bicycles and Metro Strategies: Impact of Phasing out Subsidies for Bicycle–Metro Integration Model

Contact Info

Product

Resources

About