Incorporating Land Use Change Into Army Basing Analysis

被引:0
|
作者
Goran, William D. [1 ]
Tarantino, William
Boesdorter, Brad J. [2 ]
机构
[1] USA, Corps Engineer Res & Dev Ctr, Washington, DC USA
[2] City Decatur, Decatur, IL USA
关键词
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Base Realignmentand Closure (BRAC) 2005 determined stationing options for Army units given an Army installation's limited resources (facilities, lands, and ranges) and a unit's resource requirements. One factor considered within BRAC analysis was a measure of the extent that Surrounding Communities have "encroached" on a military installation. Urban and suburban development along an installation's immediate perimeter is a type of encroachment that potentially constrains military operations and training. The Army established the Total Army Basing Study (TABS) to develop a comprehensive and comparable analysis of Army installations as input into the BRAC decisionmaking process. This TABS analysis included a comparison Of land use changes (from non-urban to suburban or urban) in the perimeter lands surrounding military installations. In addition, an encroachment trend was projected to 2020 for the sites in the analysis. We describe the TABS land use change analysis approach, examine analysis results for three military installations, and then compare the results at one of these three sites to results from an alternate land use change analysis method that was used at that same site. The authors' analysis and results were incorporated into the Army's candidate recommendations for the 2005 BRAC process.
引用
收藏
页码:25 / 40
页数:16
相关论文
共 50 条
  • [1] Biofuels and Climate Change Mitigation: A CGE Analysis Incorporating Land-Use Change
    Govinda R. Timilsina
    Simon Mevel
    [J]. Environmental and Resource Economics, 2013, 55 : 1 - 19
  • [2] Biofuels and Climate Change Mitigation: A CGE Analysis Incorporating Land-Use Change
    Timilsina, Govinda R.
    Mevel, Simon
    [J]. ENVIRONMENTAL & RESOURCE ECONOMICS, 2013, 55 (01): : 1 - 19
  • [3] Incorporating Spatial Dynamics and Temporal Dependency in Land Use Change Models
    Sidharthan, Raghuprasad
    Bhat, Chandra R.
    [J]. GEOGRAPHICAL ANALYSIS, 2012, 44 (04) : 321 - 349
  • [4] Design of a land use change prediction model incorporating neural networks
    Chen, Shuiying
    Wang, Haibin
    [J]. Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [5] Geostatistical techniques for incorporating spatial correlation into land use change models
    Ademola, K. Braimoh
    Onishi, Takashi
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2007, 9 (04): : 438 - 446
  • [6] THE POTENTIAL OF FUZZY LOGIC FOR QUANTITATIVE LAND COVER CHANGE ANALYSIS BASING ON HISTORICAL TOPOGRAPHIC MAPS
    Zachwatowicz, Maria
    [J]. MISCELLANEA GEOGRAPHICA, 2011, 15 : 231 - 240
  • [7] INCORPORATING LAND-USE MAPPING UNCERTAINTY IN REMOTE SENSING BASED CALIBRATION OF LAND-USE CHANGE MODELS
    Cockx, K.
    Van de Voorde, T.
    Canters, F.
    Poelmans, L.
    Uljee, I.
    Engelen, G.
    de Jong, K.
    Karssenberg, D.
    van der Kwast, J.
    [J]. 8TH INTERNATIONAL SYMPOSIUM ON SPATIAL DATA QUALITY, 2013, 40-2 (w1): : 7 - 12
  • [8] Incorporating spatial regression model into cellular automata for simulating land use change
    Ku, Chia-An
    [J]. APPLIED GEOGRAPHY, 2016, 69 : 1 - 9
  • [9] Evaluation of an integrated land use change model including a scenario analysis of land use change for continental Africa
    Alcamo, Joseph
    Schaldach, Ruediger
    Koch, Jennifer
    Koelking, Christina
    Lapola, David
    Priess, Joerg
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2011, 26 (08) : 1017 - 1027
  • [10] Analysis of Land Use and Land Cover Change in Nadowli District, Ghana
    Prosper, L. B.
    Guan, Q.
    [J]. 2015 23RD INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 2015,