What Causes Waterlogging?—Explore the Urban Waterlogging Control Scheme through System Dynamics Simulation

It is a common phenomenon in cities that waterlogging affects people’s normal life. It is of great significance for targeted transformation and upgrading to identify the risk factors of urban waterlogging. This paper collected the waterlogging data of Tianjin in China, analyzed the coupling mechanism among waterlogging risk factors of urban drainage systems, and then selected the system dynamics theory and the Vensim software as the analysis tools due to the mixing characteristic and the limited availability of data. After that, the sensitive factors were identified by model simulation and sensitivity analysis, and the prominent impact of urban expansion on waterlogging risk was discussed. Then, through the comparison of the three simulation scenarios, it was found that, compared with the urban development focus shifting strategy, the strategies of sponge city reconstruction and management optimization could achieve the risk control goal within a shorter time. On this basis, two kinds of governance schemes with strong operability were put forward, which were the data governance strategy and the sponge city reconstruction strategy of giving priority to old urban areas. According to the simulation results, a city can reverse the increasing trend of waterlogging risk within ten years under the appropriate scheme. Furthermore, the paper puts forward the strategic reimagining of the rural revitalization strategy and the ecological restoration strategy for the long-term sustainable development transformation of Tianjin.

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Research on the Dynamic Evolution of Sponge City Construction Risk Based on System Dynamics

10.21203/rs.3.rs-902383/v1 ◽

2021 ◽

Author(s):

Hui Zhao ◽

Zhijie Li ◽

Jingqi Zhang

Keyword(s):

Risk Factors ◽

System Dynamics ◽

Model Simulation ◽

Mechanism Analysis ◽

Analysis Model ◽

Sponge City ◽

Grounded Theory Method ◽

Construction Risk ◽

City Construction ◽

Whole Life Cycle

Abstract Following the research idea of "theoretical analysis -- mechanism analysis -- model simulation", the basic concept and basic theory of sponge city construction risk are firstly defined, and then the risk factors and internal mechanism of sponge city construction are analyzed by the grounded theory method. Finally, the system dynamics model is used for simulation. The dynamic development and key risk factors of each sub-risk system in the whole life cycle are analyzed, and the countermeasures to reduce the risk of sponge city construction are given.

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System Dynamics Simulation Model for Cardiovascular Heart Disease Risk Factors - Smoking and Alcohol Intake

International Journal of Advanced engineering Management and Science ◽

10.24001/ijaems.3.2.8 ◽

2017 ◽

Vol 3 (2) ◽

pp. 43-49

Author(s):

Prof. (Dr.) Prem Pal Singh Tomar

Keyword(s):

Risk Factors ◽

Heart Disease ◽

System Dynamics ◽

Simulation Model ◽

Alcohol Intake ◽

Disease Risk ◽

Dynamics Simulation ◽

Cardiovascular Heart Disease ◽

Heart Disease Risk Factors ◽

Heart Disease Risk

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Scenario Model to Mitigate Traffic Congestion and Improve Commuting Time Efficiency

Journal of Information Systems Engineering and Business Intelligence ◽

10.20473/jisebi.7.2.112-118 ◽

2021 ◽

Vol 7 (2) ◽

pp. 112

Author(s):

Shabrina Luthfiani Khanza ◽

Erma Suryani ◽

Rully Agus Hendrawan

Keyword(s):

System Dynamics ◽

Travel Time ◽

Traffic Congestion ◽

Model Simulation ◽

Dynamics Simulation ◽

Project Implementation ◽

Time Efficiency ◽

Commuting Time ◽

System Dynamics Simulation ◽

The Impact

Background: Commuting time is highly influenced by traffic congestion. System dynamics simulation can help identify the cause of traffic problems to improve travel time efficiency.Objective: This study aims to reduce traffic congestion and minimise commuting time efficiency using system dynamics simulation and scenarios. The developed scenarios implement the Bus Rapid Transit (BRT) and trams projects in the model.Methods: System dynamics simulation is used to analyse the transport system in Surabaya and the impact of BRT and trams project implementation in the model in order to improve commuting time and to reduce congestion.Results: From the simulation results, with the implementation of BRT and tram projects along with highway expansion, traffic congestion is predicted to decline by 24-44%. With the reduction of traffic congestion, travel time efficiency is predicted to improve by 11-28%. On the contrary, implementation of BRT and tram project without highway expansion is predicted to increase the traffic congestion by 5% in the initial year of implementation, then traffic congestion is predicted to decline by 2% in 2035.Conclusion: Based on the scenarios, transport project implementation such as BRT and trams should be accompanied with improvement of infrastructure. Further research is needed to develop a more comprehensive transportation system to capture a broader view of the problem. Keywords: Model, Simulation, System Dynamics, Traffic Congestion, Travel Time

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System Dynamics Simulation for Customer Lifetime Value

PsycEXTRA Dataset ◽

10.1037/e601742011-004 ◽

2010 ◽

Author(s):

Jiann-Horng Lin ◽

Hui-Ling Hung

Keyword(s):

System Dynamics ◽

Customer Lifetime Value ◽

Dynamics Simulation ◽

Customer Lifetime ◽

Lifetime Value ◽

System Dynamics Simulation

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Decoupling Housing Growth from Environmental Impact: A Pathway to Sustainability through a System Dynamics Simulation Approach

Construction Research Congress 2020 ◽

10.1061/9780784482858.030 ◽

2020 ◽

Author(s):

Ann Francis ◽

Albert Thomas

Keyword(s):

Environmental Impact ◽

System Dynamics ◽

Dynamics Simulation ◽

Simulation Approach ◽

Housing Growth ◽

System Dynamics Simulation

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Risk factors for Diarrhoeal diseases in the Under Fives in the Rural and Urban Areas of Mbale District: A Cross Sectional -Comparative study

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.9.05.2019.p8943 ◽

2019 ◽

Vol 9 (5) ◽

pp. p8943

Author(s):

Ilukor Geresom ◽

Ndungutse David Majwejwe

Keyword(s):

Risk Factors ◽

Comparative Study ◽

Urban Areas ◽

Cross Sectional ◽

Rural And Urban Areas ◽

Rural And Urban ◽

Diarrhoeal Diseases

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Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽

10.3390/geosciences11080312 ◽

2021 ◽

Vol 11 (8) ◽

pp. 312

Author(s):

Barbara Wiatkowska ◽

Janusz Słodczyk ◽

Aleksandra Stokowska

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Satellite Imagery ◽

Urban Areas ◽

Agricultural Land ◽

Urban Expansion ◽

Landsat 8 ◽

Rate Of Increase ◽

Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

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Virtual enterprise networks: the fifth element of corporate governance

Human Systems Management ◽

10.3233/hsm-2001-20301 ◽

2001 ◽

Vol 20 (3) ◽

pp. 171-188

Author(s):

Nicholas C. Georgantzas

Keyword(s):

Corporate Governance ◽

System Dynamics ◽

Transaction Cost ◽

Transaction Cost Economics ◽

Virtual Enterprise ◽

Dynamics Simulation ◽

Enterprise Networks ◽

Market Uncertainty ◽

Competitive Edge ◽

Exchange Governance

Although still flying low under the popular business media's collective radar, virtual enterprise networks (or nets) do receive increased attention in the strategic management literature. A virtual enterprise network (VEN) is a system of autonomous firms that collaborate to achieve common business objectives. VENs give participants a competitive edge in markets demanding agility and rapid response. Seen as an emerging transactional exchange governance (TEG) form within transaction cost economics (TCE), VENs and the relations among firms that form them posit challenges for researchers and managers. VENs differ substantially from markets and hierarchies, and from recurrent and relational contracts, utterly changing what it means to be a firm in today's business. This essay explores alternative TEG forms, their characteristics and the criteria that bear on the choice of corporate governance: flexible specialization, market uncertainty, product (good or service) complexity, reliance on trust, risk, self-organization, shared knowledge, and socio-territorial cohesiveness. The essay offers propositions on the relations among economic criteria and the choice of transactional exchange governance forms by exploring the dynamics of a generic TEG structure. This is a system dynamics simulation model that partially offsets the shortcomings of transaction cost economics (TCE) and points to the potentially rich contribution of system dynamics to exploring VENs beyond the ideal-type TEG forms of markets and hierarchies that dominate the TCE literature.

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

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/03611981211012425 ◽

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.

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