Simulation modeling of the smart city system: The concept, methods, and cases

2020 ◽  
Vol 19 (2) ◽  
pp. 226-250 ◽  
Author(s):  
V.L. Makarov ◽  
R.A. Bakhtizin ◽  
G.L. Beklaryan ◽  
A.S. Akopov
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
System Dynamics ◽  
Smart City ◽  
Simulation Modeling ◽  
Simulation Models ◽  
Agent Based Modeling ◽  
Decision Making Process ◽  
Agent Based ◽  
City System

Subject. The research investigates key processes of urban life and its maintenance, including food supply, infrastructure, fire security, quality and accessibility of medical services, etc. The article also discusses the creation of a system supporting the Smart City decision-making process. Objectives. The research develops methods and tools to manage the Smart City system through system dynamics and agent-based modeling. Methods. Using simulation modeling, namely system dynamics and agent-based modeling (supported via Powersim and AnyLogic), we evaluate how multiple guiding parameters influence crucial characteristics of the Smart City system. Results. We devised an approach to designing the Smart City system through methods of system dynamics and agent-based modeling (supported via Powersim and AnyLogic) intended to streamline the decision making process for reasonable urban planning. Conclusions and Relevance. We propose the consolidated architecture of the Smart City decision-making system integrating the simulation models, data storage and city monitoring subsystem. The article describes the cases of simulation models implemented via Powersim and AnyLogic to support rational urban planning. The simulation models will significantly improve the quality of urban environment, satisfy the demand for food products, provide access to healthcare services and ensure effective rescue actions in case of emergency.

Agent-based modeling of consumer decision making process based on power distance and personality

2011 ◽  
Vol 24 (7) ◽  
pp. 1075-1095 ◽  
Author(s):  
Omid Roozmand ◽  
Nasser Ghasem-Aghaee ◽  
Gert Jan Hofstede ◽  
Mohammad Ali Nematbakhsh ◽  
Ahmad Baraani ◽  
...  
Keyword(s):  
Decision Making ◽  
Power Distance ◽  
Agent Based Modeling ◽  
Decision Making Process ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Agent Based

Excluded communities and participatory land-use planning: experience from informal Roma settlements in Serbia

2021 ◽  
pp. 095624782110240
Author(s):  
Zlata Vuksanović-Macura ◽  
Igor Miščević
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Urban Planning ◽  
Capacity Building ◽  
Citizen Participation ◽  
Land Use Planning ◽  
Planning Process ◽  
Participatory Approach ◽  
Decision Making Process ◽  
Active Involvement

Citizen participation in the planning and decision-making process in the European post-socialist context is much debated. Still, the involvement of excluded communities in the urban planning process remains understudied. This paper presents and discusses the application of an innovative participatory approach designed to ensure active involvement of an excluded ethnic minority, the Roma community, in the process of formulating and adopting land-use plans for informal settlements in Serbia. By analysing the development of land-use plans in 11 municipalities, we observe that the applied participatory approach enhanced the inhabitants’ active participation and helped build consensus on the planned solution between the key actors. Findings also suggested that further work with citizens, capacity building of planners and administration, and secured financial mechanisms are needed to move citizen participation in urban planning beyond the limited statutory requirements.

scholarly journals Where to vacation? An agent-based approach to modelling tourist decision-making process

2015 ◽  
Vol 20 (15) ◽  
pp. 1557-1574 ◽  
Author(s):  
Inês Boavida-Portugal ◽  
Carlos Cardoso Ferreira ◽  
Jorge Rocha
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Agent Based

scholarly journals Upaya Peningkatan Daya Tarik Wisata di Kabupaten Sumenep melalui Smart City System

2019 ◽  
Vol 1 (1) ◽  
pp. 30-43
Author(s):  
Nur Inna Alfiyah
Keyword(s):  
Decision Making ◽  
Local Government ◽  
Smart City ◽  
Research Use ◽  
Tourist Attraction ◽  
Use Of Technology ◽  
City System ◽  
Tourism Information ◽  
Tourist Information ◽  
Government Innovation

Abstract This research aims to explain the efforts by local government to increase tourist attraction in Sumenep Regency, through the realization of smart city as a government innovation in providing tourist information to public. This research use descriptive explanatory method by looking at the obstacles in tourism development in Sumenep, which were then followed by decision-making actions carried out by the local government, so the smart city masterplan was born as a government program. The masterplan program then gave birth to innovations in the use of technology to make it easier for tourists to find out tourism information in Sumenep Regency. Keyword : Tourism, Decision making, Smart city Abstrak Penelitian ini bertujuan untuk menjelaskan upaya peningkatan daya tarik wisata di Kabupaten Sumenep melalui realisasi smart city sebagai inovasi pemerintah dalam memberikan informasi wisata kepada masyarakat. Metode dalam penelitian ini menggunakan deskriptif eksplanatif dengan melihat terlebih dahulu kendala-kendala dalam pengembangan wisata di Sumenep yang kemudian disusul dengan tindakan pengambilan keputusan yang dilakukan oleh pemerintah daerah, sehingga kemudian lahirlah masterplan smart city sebagai program pemerintah. Program masterplan ini kemudian melahirkan inovasi-inovasi penggunaan teknologi guna memudahkan wisatawan untuk mengetahui informasi wisata yang ada di Kabupaten Sumenep. Kata Kunci: Pariwisata, Pengambilan keputusan, Smart city

Multi-Methodology Approach

2021 ◽  
pp. 98-128
Keyword(s):  
System Dynamics ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Multiple Methods ◽  
Soft Systems ◽  
Agent Based ◽  
Event Simulation ◽  
Pluralistic Approach ◽  
The Difference

The pluralistic approach in today's world needs combining multiple methods, whether hard or soft, into a multi-methodology intervention. The methodologies can be combined, sometimes from several different paradigms, including hard and soft, in the form of a multi-methodology so that the hard paradigms are positivistic and see the organizational environment as objective, while the nature of soft paradigms is interpretive. In this chapter, the combination of methodologies has been examined using soft systems methodologies (SSM) and simulation methodologies including discrete event simulation (DES), system dynamics (SD), and agent-based modeling (ABM). Also, using the ontological, epistemological, and methodological assumptions underlying the respective paradigms, the difference between SD, ABM, SSM; a synthesis of SSM and SD generally known as soft system dynamics methodology (SSDM); and a promising integration of SSM and ABM referred to as soft systems agent-based methodology (SSABM) have been proven.

Agent-based Modelling of Tourists Destination Decision-Making Process

2018 ◽  
pp. 32-66
Author(s):  
Ines Boavida-Portugal ◽  
Jorge Rocha ◽  
Carlos Cardoso Ferreira ◽  
Jose Luis Zezere
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Agent Based ◽  
Agent Based Modelling

Simulation of consumers decision-making process using agent-based model approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950037
Author(s):  
Daniel Soto Forero ◽  
Yony F. Ceballos ◽  
German Sànchez Torres
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Real Data ◽  
World Market ◽  
Decision Making Process ◽  
Agent Based ◽  
Dynamic Social Network ◽  
Proposed Model ◽  
The World ◽  
Model Approach

This paper describes a model to simulate the decision-making process of consumers that adopts technology within a dynamic social network. The proposed model use theories and tools from the psychology of consumer behavior, social networks and complex dynamical systems like the Consumat framework and fuzzy logic. The model has been adjusted using real data, tested with the automobile market and it can recreate trends like those described in the world market.

A System Dynamics Model and Interface for the Simulation and Analysis of Milk Supply Chains

2020 ◽  
pp. 108-135
Author(s):  
Georgios Tsaples ◽  
Theodore Tarnanidis
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Extreme Event ◽  
Decision Making Process ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Milk Supply ◽  
Negative Effects ◽  
Interactive Approach ◽  
Adjustment Time

The objective of this chapter is the development of a System Dynamics model for the study of the milk supply chain and how an extreme event can affect its behavior. A simple interface is developed that can be used to increase the ease of communication and provide an interactive approach to the decision-making process. The model contains three echelons: farmers, processors and retailers. The main results show that under normal circumstances, the behavior of the system reaches equilibrium after a few oscillations. However, these oscillations can be smoothed out if the adjustment time of the order placement is increased. Under an extreme event that reduces the demand for milk, behavior changes and the system remains in dis-equilibrium for the entire simulation. Once again, adjustment times remain the leverages that can influence and mitigate those negative effects. Finally, a more robust and collaborative decision-making process among the actors of the chain could be beneficial for all not only under normal circumstances, but also in the presence of extreme uncertainty.

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