Agent-Based Modeling of Internal Migration
Agent-Based Modeling of Internal Migration
批准号:
8820409
负责人:
LINGXIN HAO
金额:
$24.01万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-26 至 2016-08-31
关键词:
AccountingAgeAlgorithmsAreaBenchmarkingCapitalCensusesChinaChinese PeopleComplexComputer SimulationContrast MediaCountryDataDatabasesDecision MakingDestinationsDevelopmentDisadvantagedEconomic ConditionsEconomicsEducationEmploymentEnvironmentEtiologyFaceFamily memberFeedbackGenderHealthHealth Care CostsHome environmentHouseholdImmigrationIndividualIndustryInequalityInternal MigrationsInternationalInterventionInvestmentsLabor ForcesLiteratureMarketingMethodsMexicoModelingNetwork-basedNomadsOccupationsOutcomePatternPersonal SatisfactionPoliciesPopulationPopulation DistributionsPopulation GrowthPopulation ResearchProbabilityProcessProductionPropertyProvincePublic HealthPublishingRecording of previous eventsResearchRightsRuralRural DevelopmentsRural Spatial DistributionsSimulateStressSurveysSystemTechniquesTestingTheoretical modelUnited StatesUrbanizationValidationWagesbasecluster computingexperienceimprovedinnovationinsightmigrationoutcome forecastpreferencepressurepublic health relevanceresearch studyrural-urban migrationsocialstatisticstheories
中文摘要
描述(由申请人提供):基于agent的中国城乡人口迁移模型我们建议建立一个大规模的基于agent的中国城乡人口迁移模型。国家内部和国家之间的大规模移徙正在改变世界人口。基于主体的建模(ABM)是一种很有前途但未被充分利用的方法,用于理解这些复杂迁移对人口分布和增长的影响,因为它可以包括反馈回路,允许行动者-地点交互,并揭示复杂迁移系统的意外、紧急属性。ABM的最新发展,特别是有效利用强大的计算集群来估计具有数十亿参与者的模型的算法(Parker和Epstein 2011),使该技术特别有希望建模大型复杂的空间过程。因此,我们认为发展ABM来研究大规模迁移是一项具有高度科学优先性的创新
英文摘要
DESCRIPTION (provided by applicant): Agent-based Modeling of Rural-urban Migration in China We propose to develop a large-scale agent-based model of rural-to-urban migration in China. Large-scale migrations, both within countries and across countries, are transforming the world's population. Agent-based modeling (ABM) is a promising and underutilized means for understanding the implications of these complex migrations for population distribution and growth because it can include feedback loops, allow actor-place interactions, and reveal unexpected, emergent properties of the complex system of migration. Recent developments in ABM, notably algorithms for the efficient use of powerful computing clusters to estimate models with billions of actors (Parker and Epstein 2011), make this technique especially promising for modeling large, complex spatial processes. Thus, we would argue that the development of ABM to study large-scale migrations is an innovation that is of high scientific priority for population
research. China is an excellent choice for the development of the first such model because it has, since the mid-1980s, undergone the largest single migration in the world's history, transferring some 230 million rural people by 2011, accounting for 17.4% of China's total population (Chinese National Bureau of Statistics 2012). About half of China's rural migration is from the rural inner provinces to the urbanized coast. Rural migrants are drawn to coastal areas primarily because of the high employment prospects in export-oriented industries and migrant networks (Hao et al. 2013). This monumental population shift has global economic, demographic, health, and political ramifications. While its importance is well documented, little has been done to identify and test the basic underlying causal mechanisms. The scale and duration of China's mass migration present a unique opportunity to gain valuable insights into this important historical phenomenon. The project will (1) explore, develop, and validate the conceptual model by reformulating and improving existing theories to apply to China's rural-urban migration; (2) develop a large-scale agent-based model of rural-urban migration in China, using empirically calibrated initial conditions, ex ante structural parameters, and "open" parameters to be experimented ex post, and validate the simulated stylized patterns against the reality; (3) test the explanatory power of each of the component theories integrated in our base-case model; (4) explore the dynamic outcomes of the base-case model under varying policies, economic conditions, individual preferences, and initial population conditions, and (5) find general principles of mass migration and to produce and publish our methods and results so that ABM can be applied to other large, complex migration flows.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Agent-Based Modeling of Internal Migration
-
批准号:8931778
-
项目类别:
-
资助金额:$19.46万
-
财政年份:2014
-
负责人:LINGXIN HAO
-
依托单位:
Scientific Core
-
批准号:10377561
-
项目类别:
-
资助金额:$21.24万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
Research Infrastructure for the Hopkins Population Center
-
批准号:9133916
-
项目类别:
-
资助金额:$24.3万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
Research Infrastructure for the Hopkins Population Center
-
批准号:8913232
-
项目类别:
-
资助金额:$24.3万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
The Hopkins Population Center
-
批准号:10377558
-
项目类别:
-
资助金额:$44.1万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
The Hopkins Population Center
-
批准号:10226566
-
项目类别:
-
资助金额:$45.09万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
Scientific Core
-
批准号:10226569
-
项目类别:
-
资助金额:$21.89万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
Research Infrastructure for the Hopkins Population Center
-
批准号:9348400
-
项目类别:
-
资助金额:$24.3万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
Research Infrastructure for the Hopkins Population Center
-
批准号:8734459
-
项目类别:
-
资助金额:$23.62万
-
财政年份:2003
-
负责人:LINGXIN HAO
-
依托单位:
WELFARE REFORM AND YOUNG ADULT OUTCOMES
-
批准号:6526339
-
项目类别:
-
资助金额:$12.17万
-
财政年份:1999
-
负责人:LINGXIN HAO
-
依托单位:
WELFARE REFORM AND YOUNG ADULT OUTCOMES
-
批准号:2911067
-
项目类别:
-
资助金额:$11.19万
-
财政年份:1999
-
负责人:LINGXIN HAO
-
依托单位:
WELFARE REFORM AND YOUNG ADULT OUTCOMES
-
批准号:6181800
-
项目类别:
-
资助金额:$11.53万
-
财政年份:1999
-
负责人:LINGXIN HAO
-
依托单位:
WELFARE REFORM AND YOUNG ADULT OUTCOMES
-
批准号:6388012
-
项目类别:
-
资助金额:$11.83万
-
财政年份:1999
-
负责人:LINGXIN HAO
-
依托单位:
WELFARE REFORM AND YOUNG ADULT OUTCOMES
-
批准号:6612595
-
项目类别:
-
资助金额:$12.47万
-
财政年份:1999
-
负责人:LINGXIN HAO
-
依托单位:
SUPPORT AND CHILD DEVELOPMENT IN SINGLE MOTHER FAMILIES
-
批准号:2207811
-
项目类别:
-
资助金额:$12.73万
-
财政年份:1995
-
负责人:LINGXIN HAO
-
依托单位:
SUPPORT AND CHILD DEVELOPMENT IN SINGLE MOTHER FAMILIES
-
批准号:2403604
-
项目类别:
-
资助金额:$15.34万
-
财政年份:1995
-
负责人:LINGXIN HAO
-
依托单位:
SUPPORT AND CHILD DEVELOPMENT IN SINGLE MOTHER FAMILIES
-
批准号:2025920
-
项目类别:
-
资助金额:$17.29万
-
财政年份:1995
-
负责人:LINGXIN HAO
-
依托单位:
国内基金
海外基金
登录
查看更多内容
补阳还五汤通过AGE-RAGE通路调控脓毒症免疫失衡的机制与转化研究
-
批准号:JCZRLH202601523
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:
-
依托单位:
靶向递送一氧化碳调控AGE-RAGE级联反应促进糖尿病创面愈合研究
-
批准号:JCZRQN202500010
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2025
-
负责人:
-
依托单位:
对香豆酸抑制AGE-RAGE-Ang-1通路改善海马血管生成障碍发挥抗阿尔兹海默病作用
-
批准号:2025JJ70209
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2025
-
负责人:雷芬芳
-
依托单位:
AGE-RAGE通路调控慢性胰腺炎纤维化进程的作用及分子机制
-
批准号:--
-
项目类别:面上项目
-
资助金额:--
-
批准年份:2024
-
负责人:万荣
-
依托单位:
甜茶抑制AGE-RAGE通路增强突触可塑性改善小鼠抑郁样行为
-
批准号:2023JJ50274
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2023
-
负责人:贺志明
-
依托单位:
蒙药额尔敦-乌日勒基础方调控AGE-RAGE信号通路改善术后认知功能障碍研究
-
批准号:--
-
项目类别:地区科学基金项目
-
资助金额:33万元
-
批准年份:2022
-
负责人:都义日
-
依托单位:
补肾健脾祛瘀方调控AGE/RAGE信号通路在再生障碍性贫血骨髓间充质干细胞功能受损的作用与机制研究
-
批准号:--
-
项目类别:面上项目
-
资助金额:52万元
-
批准年份:2022
-
负责人:叶宝东
-
依托单位:
LncRNA GAS5在2型糖尿病动脉粥样硬化中对AGE-RAGE 信号通路上相关基因的调控作用及机制研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:10.0万元
-
批准年份:2022
-
负责人:于海兵
-
依托单位:
围绕GLP1-Arginine-AGE/RAGE轴构建探针组学方法探索大柴胡汤异病同治的效应机制
-
批准号:81973577
-
项目类别:面上项目
-
资助金额:55.0万元
-
批准年份:2019
-
负责人:辛贵忠
-
依托单位:
AGE/RAGE通路microRNA编码基因多态性与2型糖尿病并发冠心病的关联研究
-
批准号:81602908
-
项目类别:青年科学基金项目
-
资助金额:18.0万元
-
批准年份:2016
-
负责人:刘括
-
依托单位: