Exclusion and Counter‐exclusion: The Struggle over Shrimp Farming in a Coastal Village in Bangladesh

This article explores the processes whereby control over land and water is exercised in the context of commercial shrimp cultivation in coastal Bangladesh. The authors draw on the insight that the exercise of control over resources implies both inclusion for some and exclusion for others, and that shifting the boundary between the two involves the deployment of four interacting ‘powers of exclusion’ — regulation, the market, force and legitimation — the effectiveness of which depends on specific historical conjunctures. The article uses a case study of a village in Khulna District to explore: (a) the processes by which poor farmers were excluded from their land by large shrimp farmers; (b) the ways in which villagers experienced the changes in land use and social relations associated with the shrimp boom; and (c) the conjunction of internal and external factors that enabled smallholders to collectively mobilize to reverse their exclusion from the land. Understanding these messy and contingent processes of exclusion and counter‐exclusion helps to inform strategies aimed at securing the property rights and livelihoods of the rural poor.     

Generating Alternative Land‐use Allocation for Mixed Use Areas: Multi‐Objective Optimization Approach

Current research is carried out with an intention to present an optimization approach for the urban land‐use allocation problem by generating Pareto optimum solutions considering two objectives—maximizing compatibility among adjacent space uses of a study area without compromising the area’s total land price and maximizing the price of plot of each individual owner. Considering the non‐linear characteristics of the objective functions, a multi‐objective evolutionary algorithm approach called Non‐Dominated Sorting Genetic Algorithm‐II (NSGA‐II) is applied to obtain Pareto optimal land‐use allocation subject to different set of constraints. The objective functions are tested over a case study area of Dhaka, Bangladesh. The resulting NSGA‐II model produces 24 Pareto optimal solutions of land‐use allocation, allowing tradeoff between maximizing compatibility and land price from one solution to other. This research also expresses the potential of the model to aid the policymakers and city planners of development authorities by providing alternative land‐use plans, and thereby predicting the consequences of any plan before practical application.