“…The SD model was verified by finding a significant correlation between actual and simulated data [31]. For some other problems, Eirini Grammatiki Pagoni [32] developed a novel SD-based decision support tool to assess the socially and financially sustainable performance of national public-private partnership programs. Historical data were used to estimate parameters of the SD model and their trends, such as Population_Net_Fractional_Rate, Income_Per_Capita, and Labour_Force_Participation.…”
Section: Research On System Dynamics In Traffic Problems Such As Tranmentioning
In order to systematically analyze the benefits of transit metropolis construction, the system dynamics (SD) theory was used to construct the transit metropolis SD simulation model from the four subsystems of economy, society, environment, and transportation supply and demand. The validity of the SD model was verified by the social and economic data of Nanchang City and the operational data of the bus company, and the quantitative simulation analysis was carried out by taking the construction of the transit metropolis in Nanchang as an example. The simulation results show that, in 2020, the number of motor vehicles in Nanchang will reach 1.13 million and the urban population will reach 5.71 million. It is necessary to build a transit metropolis for the sustainable development of urban transportation. In order to complete the transit metropolis creation goal of 60% of the public transit mobility sharing rate, the proportion of public transport investment in the total transportation investment needs to be adjusted from 0.25 to 0.35. As a result, Nanchang City will improve after the peak traffic congestion in 2022, indicating that the construction of the transit metropolis will have a positive effect on Nanchang. By developing new energy vehicles and low-emission vehicles, vehicle emissions will drop from 0.05 tons/year to 0.04 tons/year, and overall nitrogen oxide emissions will fall by 70%, which is significant for urban environments. The research results provide theoretical support for the significance of transit metropolis construction, and promote the sustainable development of urban transportation.
“…The SD model was verified by finding a significant correlation between actual and simulated data [31]. For some other problems, Eirini Grammatiki Pagoni [32] developed a novel SD-based decision support tool to assess the socially and financially sustainable performance of national public-private partnership programs. Historical data were used to estimate parameters of the SD model and their trends, such as Population_Net_Fractional_Rate, Income_Per_Capita, and Labour_Force_Participation.…”
Section: Research On System Dynamics In Traffic Problems Such As Tranmentioning
In order to systematically analyze the benefits of transit metropolis construction, the system dynamics (SD) theory was used to construct the transit metropolis SD simulation model from the four subsystems of economy, society, environment, and transportation supply and demand. The validity of the SD model was verified by the social and economic data of Nanchang City and the operational data of the bus company, and the quantitative simulation analysis was carried out by taking the construction of the transit metropolis in Nanchang as an example. The simulation results show that, in 2020, the number of motor vehicles in Nanchang will reach 1.13 million and the urban population will reach 5.71 million. It is necessary to build a transit metropolis for the sustainable development of urban transportation. In order to complete the transit metropolis creation goal of 60% of the public transit mobility sharing rate, the proportion of public transport investment in the total transportation investment needs to be adjusted from 0.25 to 0.35. As a result, Nanchang City will improve after the peak traffic congestion in 2022, indicating that the construction of the transit metropolis will have a positive effect on Nanchang. By developing new energy vehicles and low-emission vehicles, vehicle emissions will drop from 0.05 tons/year to 0.04 tons/year, and overall nitrogen oxide emissions will fall by 70%, which is significant for urban environments. The research results provide theoretical support for the significance of transit metropolis construction, and promote the sustainable development of urban transportation.
“…Pagoni and Georgiadis () developed a SD‐based decision support tool to assess financially and socially sustainable management strategies of national public–private partnership (PPP) programmes. Sustainability in this study is considered as the long‐term ability of the actors involved—that is, public and private sectors and society—to sustain operating PPPs and benefit from them.…”
Section: Problems In the Field Of Ppp/pfi Projects That Could Find Usmentioning
confidence: 99%
“…Stock and flow structure of the PPP production sector. PPP, public–private partnership Source : Pagoni and Georgiadis ()…”
Section: Problems In the Field Of Ppp/pfi Projects That Could Find Usmentioning
confidence: 99%
“…The study explores the holistic impact of changes in capital intensity of projects, employment policies, and other exogenous scenarios on the cumulative NPV of the projects and FIGURE 13 Stock and flow structure of the PPP production sector. PPP, public-private partnership Source: Pagoni and Georgiadis (2019) public finances. In general, the SD model can be used as a strategic decision support tool for the assessment for PPP programmes at a regional or national level.…”
Section: Procurement Strategiesmentioning
confidence: 99%
“…Authors (year) Problem topic Authors (year) Problem topic Alasad et al (2015) Demand forecast Pagoni and Georgiadis (2019) Sustainable performance Nasirzadeh, Afshar, and Khanzadi (2008a) Construction risks Nasirzadeh, Afshar, and Khanzadi (2008b) Construction risks Nasirzadeh, Afshar, Khanzadi, and Howick (2008) Construction risks Khanzadi et al (2012) Concession period Nasirzadeh et al (2014) Construction risks allocation percentage Xu et al (2012) Concession price Páez-Pérez and Sánchez-Silva (2016) Infrastructure performance Boateng et al (2015Boateng et al ( , 2016 Construction risk assessment Sihombing (2017) Financial assessment Ismail Kassim et al (2015) Concession price…”
Increased complexity has been recognized as a dominant characteristic of public–private partnerships (PPPs). In this article, we review system dynamics (SD) approaches to the PPP field because SD modelling can support the policymaking process in systems with increased structural and functional complexity. Although papers published in journals and conferences have documented SD approaches to PPP problems, there appears to be a lack of systematically reviewing what they have already provided. The objectives are to compare the findings of the studies to provide insights for directing further PPP research with the use of SD. To achieve the review objectives, we categorize the papers by the problem topic raised and provide a summary of particular insights. Problem topics include construction risk assessment, risk allocation, project financing, performance of infrastructure, demand forecast, procurement strategies, and strategic policy at national levels. The paper concludes with recommendations for future SD applications.
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