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Urban greening in Dhaka: Assessing rooftop agriculture suitability using GIS and MCDM techniques.
Sultana, Naima; Sharifi, Ayyoob; Haque, Md Nazmul; Aghaloo, Kamaleddin.
Afiliación
  • Sultana N; Urban Environmental Science Lab (URBES), Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan. Electronic address: m220938@hiroshima-u.ac.jp.
  • Sharifi A; The IDEC Institute, Hiroshima University, Japan; School of Architecture and Design, Lebanese American University, Beirut, Lebanon. Electronic address: sharifi@hiroshima-u.ac.jp.
  • Haque MN; Urban Environmental Science Lab (URBES), Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan. Electronic address: d220635@hiroshima-u.ac.jp.
  • Aghaloo K; Urban Environmental Science Lab (URBES), Graduate School of Advanced Science and Engineering, Hiroshima University, Japan. Electronic address: d226189@hiroshima-u.ac.jp.
J Environ Manage ; 368: 122146, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39142101
ABSTRACT
Dhaka ranks among the world's most densely populated cities, with built-up areas expanding to accommodate the demands of a growing population. The rapid urbanization has reduced green space and exacerbated urban heat and pollution in the city. In the quest for a greener and healthier urban environment, rooftop agriculture has emerged as a promising solution, offering opportunities for the restoration of the environment and safe food production. Despite its potential, limited studies have explored the viability of this alternative greening solution for Dhaka. Therefore, this study aims to assess the suitability of rooftops for agricultural activities employing Geographic Information System (GIS) and Multi-Criteria Decision Making (MCDM) techniques. First, seven criteria were selected based on the literature, such as building age, height, rooftop size, building utility, property value, sunlight, and water availability. Second, an expert opinion survey was conducted using the Best Worst Method (BWM) to calculate the criteria's weights. Finally, the suitability map for Dhaka was derived by combining the criteria layers and was subsequently validated. Rooftop area and property value were identified as the most and least important criteria. Approximately 9% (6.27 km2), 68% (46.59 km2), 22% (15.15 km2), and a negligible portion (0.1 km2) of Dhaka city has been classified as highly suitable, suitable, moderately suitable, and not suitable, respectively, for rooftop agriculture. By identifying and promoting the most suitable locations for rooftop agriculture and highlighting existing opportunities, this research will help to initiate and expand sustainable agriculture practices that can contribute to climate change adaptation and urban resilience.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ciudades / Sistemas de Información Geográfica / Agricultura País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ciudades / Sistemas de Información Geográfica / Agricultura País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2024 Tipo del documento: Article