The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Petter Pilesjö

Petter Pilesjö

Professor

Petter Pilesjö

Land-use planning for sustainable urban development in africa : A spatial and multi-objective optimization approach

Author

  • Alex Lubida
  • Mozafar Veysipanah
  • Petter Pilesjo
  • Ali Mansourian

Summary, in English

Land-use planning, which requires finding a balance among different conflicting social, economic and environment factors, is a complex task needed everywhere, including Africa. One example is the city of Zanzibar in Tanzania, which is under special consideration for land-use revision. From one side, the city has high potentials for tourist industry and at the other side there are major challenges with the city structure and poor accessibilities. In order to prepare a proper land-use plan for the city, a variety of influencing conflicting factors needs to be considered and satisfied. This can be regarded as a common problem in many African cities, which are under development. This paper aims to address the problem by proposing and demonstrating the use of Geographical Information System (GIS) and multi-objective optimization for land-use planning, in Zanzibar as a case study. The measures which have been taken by Zanzibar government to address the development challenges through the Zanzibar Strategy for Growth and Reduction of Poverty (ZSGRP) were identified by studying related documents and interviewing experts. Based on these, two objective functions were developed for land-use planning. Optimum base land-use plans were developed and mapped by optimizing the objective functions using the NSGA-II algorithm. The results show that the proposed approach and outputs can considerably facilitate land-use planning in Zanzibar. Similar approaches are highly recommended for other cities in Africa which are under development.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • Centre for Geographical Information Systems (GIS Centre)
  • Centre for Advanced Middle Eastern Studies (CMES)

Publishing year

2019-01-01

Language

English

Pages

1-15

Publication/Series

Geodesy and Cartography

Volume

45

Issue

1

Document type

Journal article

Publisher

Taylor & Francis

Topic

  • Physical Geography
  • Other Computer and Information Science
  • Environmental Sciences related to Agriculture and Land-use

Keywords

  • Africa
  • Land-Use Planning
  • Multi-Objective Optimization
  • Non-dominated Sorting Genetic Algorithm-II (NSGA-II)
  • Zanzibar
  • Geospatial Artificial Intelligence (GeoAI)
  • Artificial Intelligence (AI)

Status

Published

ISBN/ISSN/Other

  • ISSN: 2029-6991