RBSim 2: simulating the complex interactions between human movement and the outdoor recreation environment

Itami, Robert M.; Raulings, Rob; MacLaren, Glen; Hirst, Kathleen; Gimblett, Randy; Chladek, Peter

doi:10.1078/1617-1381-00059

Cited by 34 publications

(19 citation statements)

References 2 publications

(1 reference statement)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While some models of geographic processes treat agents as interacting mobile individuals [4,14,21,25,43,46] and others as stationary units that make decisions affecting land-use and land-cover change [17,30,31], there is a general consensus that agents are autonomous units that share an environment through an agent community and behave in a manner to reach their goals [3,8]. This has made ABMs appealing for simulating numerous resource management scenarios, including agricultural land use [17,33], forest recreation [14,25], management of wildlife [1,5], fisheries [46] and water [16], and other processes falling in the category of land-use/ cover change (LUCC). With regards to forest management, ABMs can be linked with geographic information systems (GIS) in order to understand the spatial characteristics of harvesting patterns.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Spatio-temporal Complexities of Forest Management: An Integrated Agent-based Modeling and GIS Approach

Bone

Dragićević

2008

Environ Model Assess

View full text Add to dashboard Cite

The objective of this study is to integrate agentbased modeling and geographic information systems (GIS) for examining how interactions within forest management lead to patterns of land-cover change. Specifically, this study evaluates how management agents behave in the presence of variable timber prices, harvesting costs, and accessibility to timber and how their actions influence the spatial characteristics of the forest landscape over time. The GIS calculates the average harvested patch size, number of patches, and total harvested area as measures of emergent patterns resulting from agent actions. The results from the agent-based GIS model reveal that good economic conditions lead to few but large harvested patches, while deteriorating conditions will see more patches of smaller size if forest companies have access to high-quality timber. This study emphasizes the need for a complex systems approach to forest management as the model illustrates how system elements interact in a manner to produce emergent spatial patterns over time.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluating Spatio-temporal Complexities of Forest Management: An Integrated Agent-based Modeling and GIS Approach

Bone

Dragićević

2008

Environ Model Assess

View full text Add to dashboard Cite

show abstract

“…Levels of plausibility and trust can thus adhere to simulations of future events and trends, or of interventions to manage or mitigate certain future scenarios (e.g. Batty et al, 2003b;Itami et al, 2003;Straatman et al, 2004, Bennett & Tang, 2006Ligmann-Zielinska & Jankowski, 2007). It is the assessment of validity and attendant calibration of multi-agent models which is at the core of this paper.…”

Section: Challenges In Assessing the Validity And Usefulness Of Multimentioning

confidence: 99%

Agent-based services for the validation and calibration of multi-agent models

Brimicombe

2008

Computers, Environment and Urban Systems

View full text Add to dashboard Cite

Agent-Based Services for the Validation and Calibration of Multi-Agent ModelsYang Li, Allan Brimicombe, Chao Li Abstract Agent-based modelling in the form of multi-agent models has been increasingly applied to the simulation of spatial phenomena in silico. Validation and calibration are recurrent problems. The complexity of these models with large numbers of parameters can make validation procedures intractable. In this paper, the novel concept of using agent-based technologies to create services that assist in the validation and calibration of multi-agent models is developed.Such agent-based services offer an efficient solution where large numbers of model runs need to be carried out. In this paper, the agent-based services are collaborative sets of agents that perform calibration and sensitivity analysis as a key task in model validation.. In a case study, the prototype agent-based validation services are implemented for a multi-agent wayfinding model as a means of proof-of-concept. The case study demonstrates how agent-based services can be deployed for testing the robustness of emergent patterns through sensitivity analyses and used for model calibration.

show abstract

“…There is considerable breadth in the range of theoretical approaches that are considered when modeling navigation and way-finding in these traditions. For example, models have been used to examine the economy of movement in retail streetscapes relative to particular points of interest [217], way-finding in emergency contexts with unfamiliarity and stress [218], the influence of errors and misjudgment on agents' way-finding [219], hierarchy in how information is stored and prioritized [220][221][222], and the role of affordances in weighting decisions [223]. Work in formalizing the concepts that these behaviors share as ontology is particularly well-developed [224,225].…”

Section: Behavioral Geographymentioning

confidence: 99%

Computational Streetscapes

Torrens

2016

Computation

View full text Add to dashboard Cite

Abstract:Streetscapes have presented a long-standing interest in many fields. Recently, there has been a resurgence of attention on streetscape issues, catalyzed in large part by computing. Because of computing, there is more understanding, vistas, data, and analysis of and on streetscape phenomena than ever before. This diversity of lenses trained on streetscapes permits us to address long-standing questions, such as how people use information while mobile, how interactions with people and things occur on streets, how we might safeguard crowds, how we can design services to assist pedestrians, and how we could better support special populations as they traverse cities. Amid each of these avenues of inquiry, computing is facilitating new ways of posing these questions, particularly by expanding the scope of what-if exploration that is possible. With assistance from computing, consideration of streetscapes now reaches across scales, from the neurological interactions that form among place cells in the brain up to informatics that afford real-time views of activity over whole urban spaces. For some streetscape phenomena, computing allows us to build realistic but synthetic facsimiles in computation, which can function as artificial laboratories for testing ideas. In this paper, I review the domain science for studying streetscapes from vantages in physics, urban studies, animation and the visual arts, psychology, biology, and behavioral geography. I also review the computational developments shaping streetscape science, with particular emphasis on modeling and simulation as informed by data acquisition and generation, data models, path-planning heuristics, artificial intelligence for navigation and way-finding, timing, synthetic vision, steering routines, kinematics, and geometrical treatment of collision detection and avoidance. I also discuss the implications that the advances in computing streetscapes might have on emerging developments in cyber-physical systems and new developments in urban computing and mobile computing.

show abstract

RBSim 2: simulating the complex interactions between human movement and the outdoor recreation environment

Cited by 34 publications

References 2 publications

Evaluating Spatio-temporal Complexities of Forest Management: An Integrated Agent-based Modeling and GIS Approach

Evaluating Spatio-temporal Complexities of Forest Management: An Integrated Agent-based Modeling and GIS Approach

Agent-based services for the validation and calibration of multi-agent models

Computational Streetscapes

Contact Info

Product

Resources

About