The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia
et
06 sept. 2018
À propos de cet article
Publié en ligne: 06 sept. 2018
Pages: 115 - 126
Reçu: 29 nov. 2017
DOI: https://doi.org/10.2478/quageo-2018-0029
Mots clés
© 2018 Audi Karina Choirunnisa et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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Fig. 4

Number of respondents in Srigading and Gadingsari based on capacity level and distance between houses and shoreline_
Capacity levels | Distance between Houses and Shoreline | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Srigading | Gadingsari | |||||||||
Near | Moderate | Far | Total | % | Near | Moderate | Far | Total | % | |
Low | 0 | 1 | 3 | 4 | 11.11 | 0 | 0 | 0 | 0 | 0 |
Medium | 4 | 10 | 9 | 23 | 63.89 | 0 | 0 | 13 | 13 | 65 |
High | 6 | 3 | 0 | 9 | 25.00 | 0 | 0 | 7 | 7 | 35 |
The classification of capacity levels_
Classes | Total scores | Descriptions |
---|---|---|
Low | 6–13 | Lack of capacity to implement disaster risk reduction |
Medium | 14–22 | Adequate capacity to implement disaster risk reduction |
High | 23–30 | High capacity to implement disaster risk reduction |
The extent of susceptible area to coastal erosion based on land use_
Land use | Vulnerability classes | Area (ha) |
---|---|---|
Beach sands | Medium | 12.08 |
Beach sands | Medium | 13.39 |
Beach sands | Medium | 16.40 |
Beach sands | High | 23.07 |
Beach sands | High | 6.07 |
Beach sands | High | 43.14 |
Settlement | High | 6.09 |
Grass | High | 2.14 |
Irrigated rice field | Medium | 4.46 |
Irrigated rice field | High | 27.06 |
Irrigated rice field | High | 6.43 |
Dry land | Medium | 2.25 |
Dry land | Medium | 1.91 |
Dry land | High | 0.30 |
Dry land | High | 3.64 |
Water body | High | 22.71 |
Water body | High | 9.51 |
Research variables_
Objectives | Factors | Variables | Descriptions |
---|---|---|---|
Vulnerability | Physical | Number of houses | The higher, the more vulnerable |
Distance to shoreline | The closer to shoreline, the more vulnerable | ||
House types | Non-permanent house is more vulnerable than the permanent one | ||
Social | Population size | The higher, the more vulnerable | |
Sex | Women are more vulnerable than men | ||
Age | Elderly and children cause more vulnerability | ||
Education | The higher, the less vulnerable | ||
Number of disabled people | The higher, the more vulnerable | ||
Economic | Job | People with professional jobs are less vulnerable | |
Unemployment | The higher, the more vulnerable | ||
Number of poor household | The higher, the more vulnerable | ||
Economic facilities | The higher, the more vulnerable | ||
Community capacity | Knowledge of abrasion | Abrasion | The more the knowledge, the less vulnerable |
The cause of abrasion | The more the knowledge, the less vulnerable | ||
The impact of abrasion | The more the knowledge, the less vulnerable | ||
The countermeasures of abrasion | The more the knowledge, the less vulnerable | ||
Abrasion risk reduction measures | The more the knowledge, the less vulnerable |
Contingency coefficients_
Symmetric Measuresc | Value | Approx. Sig. | |
---|---|---|---|
Nominal by Nominal | Phi | 0.335 | 0.180 |
Cramer’s V | 0.237 | 0.180 | |
Contingency coefficient | 0.317 | 0.180 | |
N of valid cases | 56 |
j_quageo-2018-0029_tab_006_w2aab3b7b8b1b6b1ab1b1b4b3Aa
Gadingsari Village: |
395 / 1,108 × 56 = 20 households, |
Srigading Village: |
713 / 1,108 × 56 = 36 households, |
Total = 56 households. |