scholarly journals Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Xun-You Ni ◽  
Daniel (Jian) Sun
Keyword(s):  
Travel Time ◽  
Urban Areas ◽  
Assessment Method ◽  
Intelligent Vehicles ◽  
Smart Phones ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Average Travel Time ◽  
Reservation System ◽  
The Impact

With the increasing popularity of smart phones, Parking Reservation System (PRS) becomes practical to reduce the travel time in cruising for vacant spaces. The aim of this study is to assess the impact of PRS explicitly. This paper was started with analyzing the processes of cruising for vacant spaces and making parking reservation decisions. The vehicles were divided into two categories: the intelligent vehicles and the regular ones. Only the intelligent vehicles have the ability to make a parking reservation beforehand, while the regular ones have to cruise for vacant spaces. All involved components were treated as different agents, including vehicles, parking lots, network, and management center. Based on this, agent-based simulation was introduced to evaluate the performances of the scenarios with different penetration rates. The simulation results indicate the average travel time increases with the improvement of the penetration rates for the regular vehicles. The assessment method presented in this study would assist in promoting the performances of PRS in urban areas.

scholarly journals Modelling the impact of alternative educational qualifications on the New Zealand higher education system

2020 ◽  
Author(s):  
Stephen Marshall
Keyword(s):  
Higher Education ◽  
New Zealand ◽  
Education System ◽  
Historical Data ◽  
Social Phenomena ◽  
Agent Based ◽  
Higher Education System ◽  
Agent Based Modelling ◽  
Education And Employment ◽  
The Impact

Agent-based modelling provides a mechanism by which complex social phenomena can simulated in order to identify how particular features arise from causes such as demographics, human preferences and their interaction with policy settings. The NetLogo environment has been used to implement a simulation of the New Zealand higher education system, using historical data to calibrate model settings to mirror those of the real-world system. This simulation is used to explore how the introduction of an alternative qualification and education paradigm might disrupt established patterns of education and employment.

scholarly journals Is there a Need for Agent-based Modelling and Simulation in Business Process Management?

Organizacija ◽  
2018 ◽  
Vol 51 (4) ◽  
pp. 255-269 ◽  
Author(s):  
Michal Halaška ◽  
Roman Šperka
Keyword(s):  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Well Being ◽  
Modelling And Simulation ◽  
Simulation Experiments ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Advantages And Disadvantages ◽  
The Impact

AbstractBackground and Purpose: Agent-based modelling and simulation (ABS) is growing in many areas like, e.g., management, social and computer sciences. However, the similar trend does not seem to occur within the field of business process management (BPM), even though simulation approaches like discrete event simulation or system dynamics are well established and widely used. Thus, in our paper we investigate the advantages and disadvantages of agent-based modelling and simulation in the field of BPM in simulation experiments.Design/Methodology/Approach: In our research, we investigate if there is a necessity for ABS in the field of BPM with our own simulation experiments to compare traditional and ABS models. For this purpose, we use simulation framework MAREA, which is a simulation environment with integrated ERP system. Our model is a complex system of a trading company selling computer cables. For the verification of our model, we use automated process discovery techniques.Results: In our simulations, we investigated the impact of changes in resources’ behavior on the outcome of company’s order to cash process (O2C). Simulations experiments demonstrated that even small changes might have statistically significant effect on outcomes of the processes and decisions based on such outcomes. Simulation experiments also demonstrated that the impact of randomly distributed fluctuations of well-being have a diminishing tendency with the increasing number of sales representatives involved in the process.Conclusions: Our research revealed several advantages and disadvantages of using ABS in business process modelling. However, as we show, many of them were at least partially addressed in the recent years. Thus, we believe that ABS will get more attention in the field of BPM similarly to other fields like, e.g., social sciences. We suggested areas in BPM simulations, e.g., modelling of resources, be it human or technological resources, where there is a need for ABS.

The impact of future cities on commuting patterns: An agent-based approach

2018 ◽  
Vol 46 (6) ◽  
pp. 1079-1096
Author(s):  
Marcello Marini ◽  
Anna P Gawlikowska ◽  
Andrea Rossi ◽  
Ndaona Chokani ◽  
Hubert Klumpner ◽  
...  
Keyword(s):  
Urban Areas ◽  
Simulation Models ◽  
Single Family ◽  
Simulation Framework ◽  
Agent Based ◽  
Commercial Activities ◽  
Transportation Sector ◽  
Commuting Time ◽  
Commuting Patterns ◽  
The Impact

Over the next 35 years, the population of Switzerland is expected to grow by 25%. One possible way to accommodate this larger population is to transform smaller cities in Switzerland through the direct intervention of urban planners. In this work, we integrate agent-based simulation models of people flow, mobility and urban infrastructure with models of the electricity and gas systems to examine the increase of the density of existing residential zones and the creation of new workplaces and commercial activities in these urban areas. This novel simulation framework is used to assess, for the year 2050, two different scenarios of urbanization in a region with small urban areas. It is shown that a densification scenario, with a preference for multi-dwelling buildings, consumes 93% less land than a sprawl scenario, with a preference for single-family houses. The former scenario also accommodates 27% more people than the latter scenario, as there is a higher penetration of battery electric vehicles – and therefore reduced air pollution from the transportation sector – and also a larger shift of commuters to the use of public transport. However, in the former scenario, the commuting time is 20% longer. The outcome of this work demonstrates how this novel simulation framework can be used to support the formulation of policies that can direct the transformation of urban areas.

Developing Priority Index for Managing Utility Disruptions in Urban Areas with Focus on Cascading and Interdependent Effects

2018 ◽  
Vol 2672 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Srijith Balakrishnan ◽  
Zhanmin Zhang
Keyword(s):  
Urban Areas ◽  
Cyber Attacks ◽  
Service Networks ◽  
Urban Network ◽  
Agent Based ◽  
Priority Index ◽  
Infrastructure Network ◽  
Relief Operations ◽  
A Chain ◽  
The Impact

Unanticipated events such as natural disasters, terrorist attacks, cyber-attacks, and so forth, could cause prolonged disruptions in major utility service networks including, for example, water and electricity, in urban areas. Owing to the presence of complex interdependencies among infrastructure systems in an urban network, the disruption of one system may trigger a chain of events that degrades the proper functioning of several other dependent systems. Consequently, many parts of the city may not have access to multiple utility services and amenities. Identifying the most vulnerable communities exposed to such utility disruptions is key to performing immediate relief operations. In this paper, the concept of Priority Index, introduced as a measure of the susceptibility of communities to the event, is presented to rank urban regions based on the extent of the impact of disruptions (both cascading and interdependent impacts) caused by an event, as well as the social vulnerability of communities. Agent-based models are employed to simulate the consequences of a disruptive event on a semi-realistic urban infrastructure network. Later, the extent of impact on communities is evaluated using the simulation results and the American Community Survey data. The proposed Priority Index could help city administrations and utility service agencies identify the regions in a city that require immediate attention after a disruptive event occurs in the infrastructure network. A case study based on a semi-realistic infrastructure network in Austin, Texas is presented to demonstrate the implementation of the concept of Priority Index and the methodological framework.

scholarly journals Improving the impact of HIV pre-exposure prophylaxis implementation in small urban centers among men who have sex with men: An agent-based modelling study

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0199915 ◽  
Author(s):  
Jason R. Gantenberg ◽  
Maximilian King ◽  
Madeline C. Montgomery ◽  
Omar Galárraga ◽  
Mattia Prosperi ◽  
...  
Keyword(s):  
Urban Centers ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Sex With Men ◽  
Exposure Prophylaxis ◽  
The Impact ◽  
Modelling Study

scholarly journals Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-24 ◽  
Author(s):  
Marc Deissenroth ◽  
Martin Klein ◽  
Kristina Nienhaus ◽  
Matthias Reeg
Keyword(s):  
Renewable Energy ◽  
Market Integration ◽  
Renewable Energy Sources ◽  
Policy Instruments ◽  
Energy Market ◽  
Agent Based ◽  
Policy Interactions ◽  
Agent Based Modelling ◽  
The Impact

The ongoing deployment of renewable energy sources (RES) calls for an enhanced integration of RES into energy markets, accompanied by a new set of regulations. In Germany, for instance, the feed-in tariff legislation for renewables has been successively replaced by first optional and then obligatory marketing of RES on competitive wholesale markets. This paper introduces an agent-based model that allows studying the impact of changing energy policy instruments on the economic performance of RES operators and marketers. The model structure, its components, and linkages are presented in detail; an additional case study demonstrates the capability of our sociotechnical model. We find that changes in the political framework cannot be mapped directly to RES operators as behaviour of intermediary market actors has to be considered as well. Characteristics and strategies of intermediaries are thus an important factor for successful RES marketing and further deployment. It is shown that the model is able to assess the emergence and stability of market niches.

scholarly journals Investigations of agent-based modelling for inpatient healthcare systems

2021 ◽  
Author(s):  
Amirkiarash Kiani
Keyword(s):  
Quality Of Care ◽  
Recovery Time ◽  
Well Being ◽  
Patient Acuity ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Novel Approach ◽  
Research Plan ◽  
The Impact

The goal of this research was to investigate the possibility of using Agent-based Modelling, a novel approach in computerized simulation, to assess the effects of staff ratio on recovery time and to develop an empirical research plan based on an inpatient unit. By creating a virtual unit, the researcher was able to develop an adjustable model to test several scenarios based on empirical evidence; to comprehend the impact of changes to staff ratio and patient acuity on nurses’ workload and quality of care to patients. This investigation found that acuity indices of patients have no significant effect on available recovery time or the number of unperformed activities. On the contrary, nurse/patient ratio has substantial effects on both available recovery time and the number of unperformed activities; which asserts the significant effect of insufficient nurse staffing on the well-being of nurses as well as quality of care to patients.

scholarly journals TOWARDS AN ABM-BASED FRAMEWORK FOR INVESTIGATING CONSUMER BEHAVIOUR IN THE INSURANCE INDUSTRY

Ekonomika ◽  
2010 ◽  
Vol 89 (2) ◽  
pp. 95-110
Author(s):  
Aurelija Ulbinaitė ◽  
Yannick Le Moullec
Keyword(s):  
Consumer Behaviour ◽  
Insurance Industry ◽  
External Factors ◽  
Agent Based ◽  
Income Levels ◽  
Agent Based Modelling ◽  
Financial Products ◽  
Insurance Product ◽  
The Impact ◽  
Demographic Features

This paper presents a framework that builds upon agent-based modelling for investigating the behaviour of consumers in the insurance industry. Consumers are modelled as agents and clustered in groups reflecting their income levels. Agents that model consumers are characterised by their socio-demographic features and interact with other insurance consumer-agents by means of local and global social networks. Furthermore, the environment in which they evolve models the impact of external factors such as mortality, disease and other accident rates as well as insurance culture. This makes that consumer-agents accumulate experience, improve their understanding and knowledge of financial products, and thus develop their perception of need for security and consider the usefulness of insurance services. In turn, the framework enables to model the construction of the customers’ insurance product purchase decision.p>

scholarly journals Agent Based Modelling and Simulation of Pedestrian Crowds in Panic Situations

2020 ◽  
Vol 5 ◽  
pp. A100
Author(s):  
Mohammed Alrashed ◽  
Jeff Shamma
Keyword(s):  
Collective Behavior ◽  
Specific Form ◽  
Dynamics Model ◽  
Collective Behaviors ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Crowd Dynamics ◽  
Proposed Model ◽  
The Impact ◽  
Mass Events

The increasing occurrence of panic stampedes during mass events has motivated studying the impact of panic on crowd dynamics. Understanding the collective behaviors of panic stampedes is essential to reducing the risk of deadly crowd disasters. In this work, we use an agent-based formulation to model the collective human behavior in such crowd dynamics. We investigate the impact of panic behavior on crowd dynamics, as a specific form of collective behavior, by introducing a contagious panic parameter. The proposed model describes the intensity and spread of panic through the crowd. The corresponding panic parameter impacts each individual to represent a different variety of behaviors that can be associated with panic situations such as escaping danger, clustering, and pushing. Simulation results show contagious panic and pushing behavior, resulting in a more realistic crowd dynamics model.

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