A gis-based analysis and prediction of land-use change in a coastal tourism destination area

被引:0
|
作者
Allen, JS [1 ]
Lu, KS [1 ]
Potts, TD [1 ]
机构
[1] Clemson Univ, Strom Thurmond Inst, Clemson, SC 29634 USA
关键词
land use planning; waterfront development; technological tools/data or information/GIS development;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
South Carolina is the nation's second largest coastal resort state in terms of beach destination trips, superseded only by Florida. Its coastal resources and tourism industry are now undergoing tremendous coastal change due to tourism development and associated commercial and residential growth. As the negative elements of coastal change draw more public attention, and sustainable development becomes a goal for many coastal communities, the continuing coastal change associated with accelerated growth becomes a critical issue. Many agencies and organizations have initiated research programs to develop new techniques for obtaining timely and valid land-use change information to assist in coastal management. This study, as an integral part of a five-year multi-disciplinary and multi-Institutional coastal research project funded by NASA/SC-EPSCoR, is designed to develop and apply GIS-based methodologies for analysis, modeling and prediction of coastal land-use change. It takes a micro approach to examine the parcel-based land-use change at the local scale. A spatial multivariate logistic regression model was developed and 20 variables were selected for predicting the possibilities of landuse change for Murrells Inlet. The results indicate that GIS has advantages over conventional methods in integrating various data sources, performing spatial analysis, modeling spatial process, and mapping the results in land-use change studies. It appears that building permits and parcel data should be used as alternative data sources for change detection and analysis because they contain detailed change information. They are available in digital format and can be updated on a regular basis as more local government agencies utilize GIS for creating and maintaining parcel maps. Vie logistic regression model used successfully predicted spatial land-use change. Both maps and statistical results show that the primary roads, commercial cluster, commercial zoning, private ownership, and land availability arc significant predictor variables for commercial parcel land use. In addition, beachfront, open view, residential zoning, private ownership, land availability, primary roads and commercial centers are major factors that predict residential development. The results also indicate that Murrells Inlet has experienced tremendous land-use change over the last three decades. The recent period from 1982 to 1996 has brought about rapid residential growth, but little commercial development. The continuing growth appears to be transforming the area into a residential community for metropolitan Myrtle Beach. There is a significant difference in spatial preference between commercial and residential land uses with commercial parcels linearly distributed along the primary roads. As beachfront and waterfront areas are encroached mainly by seasonal homes, residential development moves inland though somewhat restricted by existing parklands and wetlands. Overall spatial patterns show that the area. is lacking an integrated plan for development. Limited public access to waterfront and beachfront and the lack of a focal point in the business district are major problems from the tourism planning perspective.
引用
收藏
页码:287 / 297
页数:11
相关论文
共 50 条
  • [1] A GIS-based irregular cellular automata model of land-use change
    Stevens, Daniel
    Dragicevic, Suzana
    ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 2007, 34 (04): : 708 - 724
  • [2] GIS-based land-use suitability analysis: a critical overview
    Malczewski, J
    PROGRESS IN PLANNING, 2004, 62 : 3 - 65
  • [3] An overview of the methods of GIS-based land-use suitability analysis
    Yang, Jing
    Liu, Yongxue
    Wang, Songhui
    GEOINFORMATICS 2007: GEOSPATIAL INFORMATION TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2, 2007, 6754
  • [4] GIS-BASED LAND-USE/LAND COVER CHANGE ANALYSIS: A CASE STUDY OF ZHYTOMYR REGION, UKRAINE
    Pyvovar, P. V.
    Topolnytskyi, P. P.
    Skydan, O. V.
    Yanchevskii, S. L.
    SPACE SCIENCE AND TECHNOLOGY-KOSMICNA NAUKA I TEHNOLOGIA, 2023, 29 (04): : 24 - 42
  • [5] Applying a GIS-based model to collect information on agricultural land-use change in Beijing
    Cui, Xiaogang
    Yan, Tailai
    Zhu, Dehai
    Niu, Fangqu
    Zhang, Xiaodong
    NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH, 2007, 50 (05) : 1073 - 1081
  • [6] Land-use/cover change in Coimbatore urban area (Tamil Nadu, India)-a remote sensing and GIS-based study
    Prabu, P.
    Dar, Mithas Ahmad
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (08)
  • [7] Land-use/cover change in Coimbatore urban area (Tamil Nadu, India)—a remote sensing and GIS-based study
    P. Prabu
    Mithas Ahmad Dar
    Environmental Monitoring and Assessment, 2018, 190
  • [8] A simplified GIS-based SCS-CN method for the assessment of land-use change on runoff
    Al-Juaidi, Ahmed E. M.
    ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (11)
  • [9] Peasant emigration and land-use change at the watershed level:: A GIS-based approach in Central Mexico
    Lopez, Erna
    Bocco, Gerardo
    Mendoza, Manuel
    Velazquez, Alejandro
    Aguirre-Rivera, J. Rogelio
    AGRICULTURAL SYSTEMS, 2006, 90 (1-3) : 62 - 78
  • [10] A simplified GIS-based SCS-CN method for the assessment of land-use change on runoff
    Ahmed E. M. Al-Juaidi
    Arabian Journal of Geosciences, 2018, 11