Defining agents' behaviour based on urban economic theory to simulate complex urban residential dynamics

In recent years, agent-based models (ABMs) have become a prevalent approach for modelling complex urban systems. As a class of bottom-up method, ABMs are capable of simulating the decision-making as well as the multiple interactions of autonomous agents and between agents and the environment. The definition of agents' behaviour is a vital issue in implementing ABMs to simulate urban dynamics. Urban economic theory has provided effective ways to cope with this problem. This theory argues that the formation of urban spatial structure is an endogenous process resulting from the interactions among individual actors that are spatially distributed. However, this theory is used to explain urban phenomena regardless of spatial heterogeneity in most cases. This study combines GIS, ABM and urban economic models to simulate complex urban residential dynamics. The time-extended model is incorporated into an ABM so as to define agents' behaviour on a solid theoretical basis. A spatial variable is defined to address the neighbourhood effect by considering spatial heterogeneity. The proposed model is first verified by the simulation of three scenarios using hypothetical data: (1) single dominated preference; (2) varying preferences on the basis of income level; and (3) spatially heterogeneous environment. Then the model is implemented by simulating the residential dynamics in Guangzhou, China.     

An individual cognitive evacuation behaviour model for agent-based simulation: a case study of a large outdoor event

Route selection is a complex issue in simulating the pedestrian’s walking behaviour during the evacuation. In many current studies, the agent-based model has been widely used to simulate the individualized behaviour, and growing concern is given to the cognitive aspects in route selection. However, the influence of incomplete spatial knowledge and the preferences for different routing strategies has not been fully considered. To represent more reliable route choice by different pedestrians, this study presents an individual cognitive evacuation behaviour model which is mainly focusing on the individual differences in routing strategy and spatial knowledge. The model consists of two major components, namely the multiple routing strategies and personalized spatial cognitive road network. Based on a review of the previous studies, the potential factors that may affect the evacuation behaviour were discussed. The quantitative relationships between these potential factors and the pedestrian’s routing preference, as well as the possibilities of recognizing different roads, were explored using the regression method. As a case study, the proposed model was implemented using the data collected from a field survey of a real outdoor event. When applied in an agent-based simulation, the implemented model will support more reliable simulation of route choices corresponding to the pedestrians’ behaviour in the real event.     

Agent-based modeling within a cyberinfrastructure environment: a service-oriented computing approach

Agent-based models (ABM) allow for the bottom-up simulation of dynamics in complex adaptive spatial systems through the explicit representation of pattern–process interactions. This bottom-up simulation, however, has been identified as both data- and computing-intensive. While cyberinfrastrucutre provides such support for intensive computation, the appropriate management and use of cyberinfrastructure (CI)-enabled computing resources for ABM raise a challenging and intriguing issue. To gain insight into this issue, in this article we present a service-oriented simulation framework that supports spatially explicit agent-based modeling within a CI environment. This framework is designed at three levels: intermodel, intrasimulation, and individual. Functionalities at these levels are encapsulated into services, each of which is an assembly of new or existing services. Services at the intermodel and intrasimulation levels are suitable for generic ABM; individual-level services are designed specifically for modeling intelligent agents. The service-oriented simulation framework enables the integration of domain-specific functionalities for ABM and allows access to high-performance and distributed computing resources to perform simulation tasks that are often computationally intensive. We used a case study to investigate the utility of the framework in enabling agent-based modeling within a CI environment. We conducted experiments using supercomputing resources on the TeraGrid – a key element of the US CI. It is indicated that the service-oriented framework facilitates the leverage of CI-enabled resources for computationally intensive agent-based modeling.     

国外城市系统智能体模型的科学计量分析

智能体模型用于自下而上模拟城市系统.当前综述性研究多关注其原理和缺陷等,而对研究内容演化的梳理尚不够细致.故运用主路径和冲积图分析,基于文献引用网络和关键词共现网络,梳理了国外城市系统智能体模型的研究脉络.结果 表明,土地利用是核心研究领域,居住隔离、城市增长和交通等亦是重要应用主题;元胞自动机、网络分析等方法在200...     

Accelerating agent-based computation of complex urban systems

Despite its popularity, agent-based modeling is limited by serious barriers that constrain its usefulness as an exploratory tool. In particular, there is a paucity of systematic approaches for extracting coarse-grained, system-level information as it emerges in direct simulation. This is particularly problematic for agent-based models (ABMs) of complex urban systems in which macroscopic phenomena, such as sprawl, may manifest themselves coarsely from bottom-up dynamics among diverse agent-actors interacting across scales. Often these connections are not known, but treating them is nevertheless crucial in enabling prediction, in supporting decisions, and in facilitating the design, control, and optimization of urban systems. In this article, we describe and implement a metasimulation scheme for extracting macroscopic information from local dynamics of agent-based simulation, which allows acceleration of coarse-scale computing and which may also serve as a precursor to handle emergence in complex urban simulation. We compare direct ABM simulation, population-level equation solutions, and coarse projective integration. We apply the scheme to the simulation of urban sprawl from local drivers of urbanization, urban growth, and population dynamics. Numerical examples of the three approaches are provided to compare their accuracy and efficiency. We find that our metasimulation scheme can significantly accelerate complex urban simulations while maintaining faithful representation of the original model.     

Quantitative Limits to Qualitative Engagements: GIS,Its Critics,and the Philosophical Divide∗

Heated exchanges between critical theorists and GIScientists over geographic information systems (GIS) in 1990s geography gave rise to calls for increased communication between critics and practitioners of the technology and most recently for “hybrid” qualitative–quantitative GIS practices. Although GIS scholars have successfully addressed mid-1990s critiques of the technology by developing a series of critical GIS practices that involve nuanced and reflexive deployments of GIS and assessments of its visual products, theoretical critiques of GIS remain fixated on the epistemological deficiencies of the technology. Despite references to loosening metaphysical tensions across the discipline, this difference in assessments reveals the discourses of critical-theoretic geography and GIScience to remain separated by a trenchant philosophical divide, across which ontological and epistemological commitments are inviolable. The inability to fully reconcile a critical–theoretic epistemology with the explicitly ontological metaphysics of GIS further complicates qualitative engagements with the technology by addressing a series of inconsistencies into GIS praxis arising from the quantitative limits to representation encountered in the formal universe of computing. The persistence of metaphysical tensions in critical engagements with the technology questions the degree to which qualitative methods can be seamlessly hybridized with the quantitative architectures of GIS.     

城市工业空间增长的多智能体模型

城市工业及基本就业空间的增长,是城市空间增长的动力源.有效模拟和预测城市基本就业空间的增长,对城市整体空间增长和城市系统的调控有着重要的作用.以城市工业及基本就业空间增长的决策主体--工业企业商和政府决策者,作为多智能体,通过多智能体之间的交流、竞争和协作,多智能体和环境间的交互作用,决定已存在工业区位的迁移和新工业空间区位的选择,形成城市工业及基本就业空间增长的动态微观模型.以珠江三角洲东部城市快速发展的樟木头镇为例,采用提出的方法模拟了该地区1988-2004年的工业及基本就业空间增长,获得了良好的模拟结果.     

Multi-Method Research: An Introduction to Its Application in PopulationGeography

This paper sets the context for four papers on multi-method research inpopulation geography. It begins by outlining the various ends to which multi-method research may be employed. The focus then shifts to the broader plane of method, epistemology, and research design. It is argued that epistemological position only determines how methods can be used: it does not preclude the use of particular methods. The possibilities for multi-method research are therefore considerable. Finally, some issues pertaining to multi-method research thathave not yet been resolved are raised for future debate.     

Incorporating behavior into animal movement modeling: a constrained agent-based model for estimating visit probabilities in space-time prisms

ABSTRACT

Animal movement is a dynamic spatio-temporal process. While trajectory data reflect the instantaneous animal position in space and time, other factors influence movement decisions between these observed positions. While some methods incorporate environmental (habitat) context into their understanding of the animal movement process, it is often captured in terms of simple parameters or weights influencing model results; primary behavioral data are not used directly to inform these models. Here, a new space-time constrained agent-based model is introduced, capable of producing ordered, behaviorally informed animal potential paths between observed space-time anchors. Potential paths generated by this approach incorporate both observed animal behavior and classical space-time constraints, and are used to construct associated visit probability distributions. Additionally, the notion of a behavioral space-time path is introduced, a variant of the space-time path based on the results of behaviorally aware animal movement simulation. The results of this approach demonstrate a means to better understand the varied movement opportunities within space-time prisms from an animal behavior perspective. From a spatial ecology perspective, not only is the environmental context considered, but the animal’s choice of transition and movement magnitude between contexts is modeled. This approach provides insight into the complex sequence of behaviorally informed actions driving animal movement decision-making.     

COMPUTERIZED NAVIGATION ASSISTANCE FOR DRIVERS

Computer-assisted navigation systems provide navigation information to automobile drivers and are now available. They are capable of storing, processing and displaying information about street networks. The display typically mimics a printed street map. The underlying capabilities of these systems present unique opportunities for geographers to study spatial cognition, wayfinding, spatial search, the impact of spatial information on trip behavior, and market responses to potentially different travel patterns. Such systems are reviewed and key areas for future research are identified.     

Multi-Method Research: An Introduction to Its Application in PopulationGeography

This paper sets the context for four papers on multi-method research inpopulation geography. It begins by outlining the various ends to which multi-method research may be employed. The focus then shifts to the broader plane of method, epistemology, and research design. It is argued that epistemological position only determines how methods can be used: it does not preclude the use of particular methods. The possibilities for multi-method research are therefore considerable. Finally, some issues pertaining to multi-method research thathave not yet been resolved are raised for future debate.     

Geography’s “World view”: The ontological issues of geography

Contemporary science philosophy suggests that discussing ontological problems is of fundamental significance broadly within certain specific disciplines. Natural and social science research are inseparable from philosophical guidance; for instance, the philosophy of geography is the ideological basis for geography. The traditional philosophy of geography is methodology-oriented, which primarily emphasizes the “logical structure of geography explanations,” and ignores the discussion of its ontology. This study, in the context of the philosophy of science, explores the relationships between methodology, ontology, and the philosophy of geography, defines the connotations of geographical ontology, analyzes the links and differences between philosophical ontology and scientific ontology of geography, clarifies the nature of geographical ontology, and summaries its theoretical values. The ontology of geography incorporates the philosophically ontological beliefs of geographers and geographical schools and the ontological commitment of the theory of geography. As different geographers hold different philosophical viewpoints, their ontological beliefs are different; one geographical theory asserts an ontological commitment of “what is there,” which determines the nature and types of objectives the theory references. The ontological beliefs of geographers determine their epistemology, methodology, and axiology, and the ontological commitment of a geographical theory is the premise and basis of that theory.     

地理学本体论——内涵、性质与理论价值（英文）

Contemporary science philosophy suggests that discussing ontological problems is of fundamental significance broadly within certain specific disciplines. Natural and social science research are inseparable from philosophical guidance; for instance, the philosophy of geography is the ideological basis for geography. The traditional philosophy of geography is methodology-oriented, which primarily emphasizes the "logical structure of geography explanations," and ignores the discussion of its ontology. This study, in the context of the philosophy of science, explores the relationships between methodology, ontology, and the philosophy of geography, defines the connotations of geographical ontology, analyzes the links and differences between philosophical ontology and scientific ontology of geography, clarifies the nature of geographical ontology, and summaries its theoretical values. The ontology of geography incorporates the philosophically ontological beliefs of geographers and geographical schools and the ontological commitment of the theory of geography. As different geographers hold different philosophical viewpoints, their ontological beliefs are different; one geographical theory asserts an ontological commitment of "what is there," which determines the nature and types of objectives the theory references. The ontological beliefs of geographers determine their epistemology, methodology, and axiology, and the ontological commitment of a geographical theory is the premise and basis of that theory.     

基于自主体(agent)的单中心城市化动态模拟

构建了基于自主体(agent)的单中心城市化模拟模型,实现了一个人工可控的计算实验环境。围绕人口流动、扩大内需、集聚效应等城市化进程的影响因素以及城市化与工业化关系展开模拟分析和讨论。研究表明:(1)城乡消费倾向扩大有助于城市与农村地区收入的提高,也有助于提高城市化水平;(2)随着集聚过程的负效应增大,城市化水平相应下降,甚至不可持续;(3)城市化与工业化具有较强的相关性,经济结构比值随着城市化水平上升而不断提高,而且工业化进程要快于城市化过程。本文认为,基于自主体建模为研究和揭示我国城市化过程的动态规律和驱动机制提供了一条新的途径。我国城市化研究需要结合转型时期的基本国情,探索演绎分析、计算实验以及实证研究相结合的技术路线。     

分布式水文模型软件系统研究综述

分布式水文模型软件系统作为分布式水文模型的技术外壳,是模型应用的重要技术保障。当前分布式水文模型应用呈现出多过程综合模拟、用户群范围广和计算量大的特点,对分布式水文模型软件系统的灵活性、易用性和高效性提出了更高的要求。本文首先分析了分布式水文模型应用的主要流程,之后从应用视角对现有分布式水文模型软件系统的特点进行了归纳,主要结论为:①软件系统按照模型结构灵活性的高低分为以下3种类型:不支持子过程选择和算法设置,不支持子过程选择、但支持算法设置,同时支持子过程选择和算法设置;②根据用户操作数据预处理软件方式的不同,参数提取方式分为菜单/命令行式和向导式;③按照模型的程序实现方法分为串行和并行方式,按照模型运行环境分为本地和网络模式。现有软件系统在灵活性、易用性和高效性方面存在如下问题:一是尚未解决模型结构灵活性和对用户知识依赖性之间的矛盾;二是现有菜单/命令行式和向导式的参数提取方式步骤繁琐,难以实现参数的自动提取;三是模型大多为串行方式和本地模式,容易遇到计算瓶颈问题。最后从模块化、智能化、网络化及移动化、并行化和虚拟仿真等方面探讨了分布式水文模型软件系统的发展趋势和研究方向。     

地理学本体论：内涵、性质与理论价值

科学哲学研究表明,本体论问题的探讨对于具体学科的科学哲学研究和理论研究都具有重要意义。本文界定了地理学本体论的内涵,讨论了地理学方法论、本体论和地理学哲学的关系,比较和分析了哲学本体论与地理学本体论之间的联系和区别,阐述了地理学本体论的性质,概括了地理学本体论的理论价值。地理学本体论包括两个层面：地理学家和地理学流派的哲学本体论观念、地理学理论的本体论承诺,地理学家的本体论影响和决定着地理学家的认识论、方法论和价值论选择,而某个地理学理论的本体论承诺则是该理论得以成立的前提和基础。     

Cognitive Abilities in the Service of Wayfinding: A Functional Approach

A functionally oriented framework for examining the cognitive abilities that are involved in human wayfinding is suggested. The framework includes a categorical distinction among types of wayfinding tasks (commutes, explores, and quests) and means used most frequently to accomplish these tasks (piloting, repetition of locomotor pattern, path integration, and navigation by cognitive map). The cognitive abilities contributing to these wayfinding means have been demonstrated by research on spatial cognition and behavior or can be inferred from relevant research and theory.     

Simulation of spatial population dynamics based on labor economics and multi-agent systems: a case study on a rapidly developing manufacturing metropolis

Spatial population dynamics affects resource allocation in urban planning. Simulation of population dynamics can provide useful information to urban planning for rapidly developing manufacturing metropolises. In such a metropolis with a concentration of immigrant labor forces, individual employment choices could have a significant effect on their residential decisions. There remains a need for an efficient method, which can simulate spatial population dynamics by considering the interactions between employment and residential choices. This article proposes an agent-based model for simulation of spatial population dynamics by addressing the influence of labor market on individual residential decisions. Labor economics theory is incorporated into a multi-agent system in this model. The long-term equilibrium process of labor market is established to define the interactions between labor supply and labor demand. An agent-based approach is adopted to simulate the economic behaviors and residential decisions of population individuals. The residential decisions of individuals would eventually have consequences on spatial population dynamics. The proposed model has been verified by the spatial dynamics simulation (2007 to 2010) of Dongguan, an emerging and renowned manufacturing metropolis in the Pearl River Delta, China. The results indicate that the simulated population size and spatial distribution of each town in Dongguan are close to those obtained from census data. The proposed model is also applied to predict spatial population dynamics based on two economic planning scenarios in Dongguan from 2010 to2015. The predicted results provide insights into the population dynamics of this fast-growing region.     

The Geography and Area Studies Interface from the Second World War to the Cold War

Disciplinary geography's history represents an important source for contemporary debates over the status of geographical knowledge across the social sciences. This article argues for a reorientation of geography's history by examining its interface with the development of area studies in the United States. It investigates the epistemological and institutional transformations that occurred in the decades before and after the Second World War as the regional concept transmuted into area studies. The article finds that although geography's regional concept shaped the spatial constructions of area studies, the latter's imaginative geographies fixed the regional concept along geopolitical visions of the nation‐state and Cold War regional blocs that continue to occlude social scientific attempts to redraw the borders of the world.     

A Revies of: Some Truth with Maps; A Primer on Symbolisation & Design.

In this article, we present a geographically explicit agent-based model (ABM), loosely coupled with vector geographical information systems (GISs), which explicitly captures and uses geometric data and socioeconomic attributes in the simulation process. The ability to represent the urban environment as a series of points, lines, and polygons not only allows one to represent a range of different-sized features such as buildings or larger areas portrayed as the urban environment but is a move away from many ABMs utilizing GIS that are rooted in grid-based structures. We apply this model to the study of residential segregation, specifically creating a Schelling (1971 Schelling, T.C. 1971. Dynamic models of segregation. Journal of Mathematical Sociology, 1(1): 143–186. [Taylor &; Francis Online] , [Google Scholar]) type of model within a hypothetical cityscape, thus demonstrating how this approach can be used for linking vector-based GIS and agent-based modeling. A selection of simulation experiments are presented, highlighting the inner workings of the model and how aggregate patterns of segregation can emerge from the mild tastes and preferences of individual agents interacting locally over time. Furthermore, the article suggests how this model could be extended and demonstrates the importance of explicit geographical space in the modeling process.