scholarly journals T21-Ohio, a System Dynamics Approach to Policy Assessment for Sustainable Development: A Waste to Profit Case Study

2010 ◽  
Vol 2 (9) ◽  
pp. 2814-2832 ◽  
Author(s):  
Emrah Cimren ◽  
Andrea Bassi ◽  
Joseph Fiksel
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Policy Assessment

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.

Social Design for Services Framework

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Melanie SARANTOU ◽  
Satu MIETTINEN
Keyword(s):  
South Africa ◽  
Sustainable Development ◽  
Research Group ◽  
Design Research ◽  
Service Design ◽  
Social Design ◽  
Practical Action ◽  
The Social ◽  
The World

This paper addresses the fields of social and service design in development contexts, practice-based and constructive design research. A framework for social design for services will be explored through the survey of existing literature, specifically by drawing on eight doctoral theses that were produced by the World Design research group. The work of World Design researcher-designers was guided by a strong ethos of social and service design for development in marginalised communities. The paper also draws on a case study in Namibia and South Africa titled ‘My Dream World’. This case study presents a good example of how the social design for services framework functions in practice during experimentation and research in the field. The social design for services framework transfers the World Design group’s research results into practical action, providing a tool for the facilitation of design and research processes for sustainable development in marginal contexts.

LAND PLANNING AS A SUPPORT FOR SUSTAINABLE DEVELOPMENT BASED ON TOURISM: A CASE STUDY OF SLOVAK RURAL REGION

2017 ◽  
Vol 16 (2) ◽  
pp. 449-458 ◽  
Author(s):  
Michal Klauco ◽  
Bohuslava Gregorova ◽  
Peter Koleda ◽  
Ugljesa Stankov ◽  
Vladimir Markovic ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Land Planning ◽  
Rural Region

scholarly journals System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
System Dynamics ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Shortage ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

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