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Rural settlements dynamics and the prospects of densification strategy in rural Bangladesh

Overview of attention for article published in SpringerPlus, March 2016
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Title
Rural settlements dynamics and the prospects of densification strategy in rural Bangladesh
Published in
SpringerPlus, March 2016
DOI 10.1186/s40064-016-1883-4
Pubmed ID
Authors

A. F. M. Ashraful Alam, Rumana Asad, Md. Enamul Kabir

Abstract

Given the year on year decrease of rural farmland and various forms of land degradation through the intrusion of non-farm land uses, the government of Bangladesh has drafted the agrarian reform strategies, primarily to protect the agricultural land from encroachment, conversion, and indiscriminate use. The draft Agricultural Land Protection and Land Use Bill since its inception in 2011 is facing serious uncertainties of implementation due to its borrowed nature from the developed contexts and inadequacy to recognize the local complexities. With a particular focus on the densification component of the draft bill, a semester-long design studio was conducted in consultation with the existing villagers to explore the practicability of the draft bill in the villages of Tetultala and Chhoygharia in the south-western coastal Bangladesh. The findings from the two villages hint that in Bangladesh, the unique and evolving nature of rural settlements dynamics that are disintegrating the rural society from farming practices and the farmland, thereby, unsettling the traditional village-morphology. The settlements dynamics vary from those of the western context; hence, there is an emerging need to build locally situated knowledge towards a feasible rural land reform.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 14%
Student > Master 6 12%
Researcher 5 10%
Student > Doctoral Student 3 6%
Lecturer 3 6%
Other 6 12%
Unknown 20 40%
Readers by discipline Count As %
Social Sciences 5 10%
Agricultural and Biological Sciences 3 6%
Business, Management and Accounting 3 6%
Economics, Econometrics and Finance 3 6%
Computer Science 2 4%
Other 11 22%
Unknown 23 46%