Title |
Identifying and measuring land-use and proximity conflicts: methods and identification
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Published in |
SpringerPlus, February 2014
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DOI | 10.1186/2193-1801-3-85 |
Pubmed ID | |
Authors |
André Torre, Romain Melot, Habibullah Magsi, Luc Bossuet, Anne Cadoret, Armelle Caron, Ségolène Darly, Philippe Jeanneaux, Thierry Kirat, Haï Vu Pham, Orestes Kolokouris |
Abstract |
This text aims to present the methodology of study of land-use conflicts performed in recent years by a multidisciplinary team, and to reveal the methods of survey and data collection, as well as the structure of the resulting database. We first define the scope of our study by providing a definition of these conflicts, of their characteristics and motives, of the ways they manifest themselves and of the actors involved (I). We then present the methodology we have used to identify conflicts; it is based on a spatial analysis and the combined use of different data collection methods including surveys conducted by experts, analyses of the regional daily press and of data from the administrative litigation courts (II). Finally we present the resulting Conflicts © data base, with its tables and nomenclatures, in which the data collected in different fields are reconciled and analyzed (III), before providing a few examples of how this method can be used to analyze case studies in developed and developing countries (IV). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | <1% |
Unknown | 111 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 20% |
Researcher | 17 | 15% |
Student > Master | 12 | 11% |
Student > Doctoral Student | 9 | 8% |
Professor > Associate Professor | 7 | 6% |
Other | 18 | 16% |
Unknown | 27 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 19 | 17% |
Social Sciences | 18 | 16% |
Earth and Planetary Sciences | 12 | 11% |
Economics, Econometrics and Finance | 10 | 9% |
Engineering | 5 | 4% |
Other | 14 | 13% |
Unknown | 34 | 30% |