Short answer

When planning for tourism development, especially in sensitive ecological areas, employ GIS-based MCDA and AHP to objectively assess land suitability and prioritize development strategies that align with sustainability goals.

Field
Sustainability
Source
Geographica Pannonica (2019)
Method
GIS-based Multi-Criteria Decision Analysis (MCDA) combined with the Analytical Hierarchy Process (AHP).
Evidence
Strong effect

Integrating Geographic Information Systems (GIS) with Multi-Criteria Decision Analysis (MCDA) and the Analytical Hierarchy Process (AHP) can objectively identify and zone areas for ecotourism development that align with sustainable development principles. This sustainability research insight is drawn from a 2019 study published in Geographica Pannonica. Using Gis-based multi-criteria decision analysis (mcda) combined with the analytical hierarchy process (ahp)., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When planning for tourism development, especially in sensitive ecological areas, employ GIS-based MCDA and AHP to objectively assess land suitability and prioritize development strategies that align with sustainability goals.

Study
SustainabilityHigh ImpactStrong effect

GIS-based MCDA identifies optimal ecotourism zones, prioritizing sustainable development

Integrating Geographic Information Systems (GIS) with Multi-Criteria Decision Analysis (MCDA) and the Analytical Hierarchy Process (AHP) can objectively identify and zone areas for ecotourism development that align with sustainable development principles.

Geographica Pannonica · 2019

01

Key Findings

  • 01GIS MCDA and AHP can effectively integrate diverse criteria for land suitability assessment.
  • 02The Sustainable Development Scenario emerged as the most appropriate option for future ecotourism development.
  • 03The methodology provides a structured approach to zoning for ecotourism.
02

Application

Design takeaway

When planning for tourism development, especially in sensitive ecological areas, employ GIS-based MCDA and AHP to objectively assess land suitability and prioritize development strategies that align with sustainability goals.

How to apply

Use GIS software to map relevant environmental, social, and hydrological factors. Employ AHP to assign weights to these factors based on expert input and stakeholder consultations, then combine these layers to create suitability maps for ecotourism.

Project actions

  • 01Clearly define the criteria and indicators relevant to your design project's context.
  • 02Consider using a decision-making matrix or a weighted scoring system to evaluate different design options.
03

Method & Evidence

AimTo develop a methodology for zoning land suitability for ecotourism using GIS-based MCDA and AHP to support sustainable development planning.
MethodGIS-based Multi-Criteria Decision Analysis (MCDA) combined with the Analytical Hierarchy Process (AHP).
ProcedureGeo-morphometric, hydrologic, landscape, and community indicators were gathered through expert opinions, field surveys, and literature review. These criteria were then weighted using AHP to classify suitability zones (highly suitable, moderately suitable, marginally suitable, not suitable) for ecotourism development, with a focus on a sustainable development scenario.
ContextEcotourism planning and development for a large water resource area (Dikgathlong Dam Lease Area, Botswana).

Variables

IVGeo-morphometric, hydrologic, landscape, and community indicators.
DVSuitability zones for ecotourism (highly suitable, moderately suitable, marginally suitable, not suitable).
CVThe specific geographic area (Dikgathlong Dam Lease Area), the chosen MCDA and AHP techniques.
04

Strengths & Limitations

Strengths

  • +Integrates multiple data types and expert opinions systematically.
  • +Provides a clear, visual output (suitability maps) for decision-making.
  • +Emphasizes a sustainable development approach.

Limitations

The availability of accurate data can be a significant challenge. Expert opinions can introduce bias.

Reliability & validity

Reliability is enhanced by the systematic application of AHP and GIS. Validity is supported by the use of multiple, diverse criteria derived from expert opinion, field surveys, and literature.

Think critically

How might the weighting of criteria in AHP be influenced by the personal biases of the experts, and what steps could be taken to mitigate this bias?

05

Design Principles

"Objective land-use zoning for development should be guided by a multi-criteria decision-making framework that prioritizes sustainability."

This approach moves beyond subjective decision-making by systematically evaluating diverse environmental, social, and hydrological factors. It provides a robust framework for planners and developers to make informed choices that balance economic opportunities with ecological preservation and community well-being.

06

What This Means for Your Design

This study shows how to use computer mapping (GIS) and a special decision-making method (MCDA/AHP) to figure out the best places for eco-tourism, making sure it's good for the environment and people.

How to use in your project

  • 1.Reference this study when discussing the methodology for evaluating design options or site selection based on multiple criteria.
07

Add to My Project

08

Quick Cite

Paragraph starter

The methodology employed in this research, utilizing GIS-based Multi-Criteria Decision Analysis (MCDA) and the Analytical Hierarchy Process (AHP), provides a robust framework for objectively assessing land suitability for ecotourism. By systematically integrating geo-morphometric, hydrologic, landscape, and community indicators, this approach allows for the identification of optimal development zones that align with sustainable development principles, offering a valuable precedent for similar planning and design projects.

09

Source

Geographica Pannonica

Land suitability zoning for ecotourism planning and development of Dikgatlhong Dam, Botswana

journal · 2019

View source

Questions About This Research

What does the research say about gis-based mcda identifies optimal ecotourism zones, prioritizing sustainable development?
When planning for tourism development, especially in sensitive ecological areas, employ GIS-based MCDA and AHP to objectively assess land suitability and prioritize development strategies that align with sustainability goals. Evidence: Geographica Pannonica (2019).
Why does "GIS-based MCDA identifies optimal ecotourism zones, prioritizing sustainable development" matter for design?
This approach moves beyond subjective decision-making by systematically evaluating diverse environmental, social, and hydrological factors. It provides a robust framework for planners and developers to make informed choices that balance economic opportunities with ecological preservation and community well-being.
How can designers apply this research?
When planning for tourism development, especially in sensitive ecological areas, employ GIS-based MCDA and AHP to objectively assess land suitability and prioritize development strategies that align with sustainability goals.
What were the main findings?
GIS MCDA and AHP can effectively integrate diverse criteria for land suitability assessment.. The Sustainable Development Scenario emerged as the most appropriate option for future ecotourism development.. The methodology provides a structured approach to zoning for ecotourism.
What research method was used?
GIS-based Multi-Criteria Decision Analysis (MCDA) combined with the Analytical Hierarchy Process (AHP)..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2019 journal from Geographica Pannonica.
What should I do differently in my next project?
Use GIS software to map relevant environmental, social, and hydrological factors. Employ AHP to assign weights to these factors based on expert input and stakeholder consultations, then combine these layers to create suitability maps for ecotourism.
What are the limitations?
The accuracy of the zoning is dependent on the quality and availability of input data and the subjective weighting of criteria by experts.