An Analysis of Spatially-enabled Mobile Decision Support Systems in a Collaborative Decision-Making Environment
(2022) In Master Thesis in Geographical Information Science GISM01 20221Dept of Physical Geography and Ecosystem Science
- Abstract
- The effectiveness of decision-making processes has been enhanced by integrating multi-criteria decision analysis (MCDA) and geographic information system (GIS) methods to solve more complex spatial problems that were not possible to solve using conventional GIS methods.
A spatial decision support system (SDSS) supports various stakeholders in the decision-making process, by processing data using GIS-MCDA methods. A newer category of SDSS is spatially-enabled mobile decision support systems (MDSS) that can enable the accessibility of real-time spatial information over wireless networks while in the field. Using portable devices, MDSS provides a range of benefits in supporting mobile decision-makers.
In this research project, the aim... (More) - The effectiveness of decision-making processes has been enhanced by integrating multi-criteria decision analysis (MCDA) and geographic information system (GIS) methods to solve more complex spatial problems that were not possible to solve using conventional GIS methods.
A spatial decision support system (SDSS) supports various stakeholders in the decision-making process, by processing data using GIS-MCDA methods. A newer category of SDSS is spatially-enabled mobile decision support systems (MDSS) that can enable the accessibility of real-time spatial information over wireless networks while in the field. Using portable devices, MDSS provides a range of benefits in supporting mobile decision-makers.
In this research project, the aim was to illustrate the applicability of a spatially-enabled MDSS in a collaborative decision-making process. This was done by developing a prototype of a spatially-enabled MDSS that solved route optimization problems, in the context of creating race routes for running events. The project also provides a deeper insight to the various MCDA techniques and methods.
Although this research project shows the potentially huge value a spatially-enabled MDSS has in many different applications and the ability to make rapid decisions in the field, many limitations and obstacles came to light, such as some users’ reluctance to use new technologies and prohibitive cost factors. Other stumbling blocks against using a MDSS for complex spatial problems were the lack of guidance for selecting the most appropriate MCDA method for a specific decision-making problem and the overall complexity of MCDA methods. (Less) - Popular Abstract
- It has become easier to solve complex geographical problems that were difficult to solve using conventional geographic information system (GIS) methods. Decision-making processes have been enhanced by combining multi-criteria decision analysis (MCDA) techniques with GIS methods.
Various people involved in a decision-making process can be supported by a spatially-enabled mobile decision support system (MDSS). This is a system that uses both GIS and MCDA techniques to enhance decision-making. People that need to make decisions outdoors or in remote places can use such a system that can run on mobile devices.
In this research project, the aim was to show how a MDDS can improve decision-making. This was done by developing a prototype... (More) - It has become easier to solve complex geographical problems that were difficult to solve using conventional geographic information system (GIS) methods. Decision-making processes have been enhanced by combining multi-criteria decision analysis (MCDA) techniques with GIS methods.
Various people involved in a decision-making process can be supported by a spatially-enabled mobile decision support system (MDSS). This is a system that uses both GIS and MCDA techniques to enhance decision-making. People that need to make decisions outdoors or in remote places can use such a system that can run on mobile devices.
In this research project, the aim was to show how a MDDS can improve decision-making. This was done by developing a prototype that could be used to generate race routes for running events. The project also provides a deeper insight to the various MCDA techniques and methods.
This research project shows the huge potential and some limitations of a MDDS. The biggest advantage of such a system is the ability to make rapid decisions from remote places. Some limitations and obstacles that came to light were users’ reluctance to use new technologies and prohibitive cost factors. Other stumbling blocks were the lack of guidance for selecting the most appropriate MCDA method for a specific decision-making problem and the overall complexity of MCDA methods. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9096539
- author
- Overton, Mark LU
- supervisor
- organization
- course
- GISM01 20221
- year
- 2022
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Geography, GIS, multi criteria decision analysis, mobile decision support system, route optimization
- publication/series
- Master Thesis in Geographical Information Science
- report number
- 149
- language
- English
- id
- 9096539
- date added to LUP
- 2022-07-31 16:19:25
- date last changed
- 2022-07-31 16:19:25
@misc{9096539,
abstract = {{The effectiveness of decision-making processes has been enhanced by integrating multi-criteria decision analysis (MCDA) and geographic information system (GIS) methods to solve more complex spatial problems that were not possible to solve using conventional GIS methods.
A spatial decision support system (SDSS) supports various stakeholders in the decision-making process, by processing data using GIS-MCDA methods. A newer category of SDSS is spatially-enabled mobile decision support systems (MDSS) that can enable the accessibility of real-time spatial information over wireless networks while in the field. Using portable devices, MDSS provides a range of benefits in supporting mobile decision-makers.
In this research project, the aim was to illustrate the applicability of a spatially-enabled MDSS in a collaborative decision-making process. This was done by developing a prototype of a spatially-enabled MDSS that solved route optimization problems, in the context of creating race routes for running events. The project also provides a deeper insight to the various MCDA techniques and methods.
Although this research project shows the potentially huge value a spatially-enabled MDSS has in many different applications and the ability to make rapid decisions in the field, many limitations and obstacles came to light, such as some users’ reluctance to use new technologies and prohibitive cost factors. Other stumbling blocks against using a MDSS for complex spatial problems were the lack of guidance for selecting the most appropriate MCDA method for a specific decision-making problem and the overall complexity of MCDA methods.}},
author = {{Overton, Mark}},
language = {{eng}},
note = {{Student Paper}},
series = {{Master Thesis in Geographical Information Science}},
title = {{An Analysis of Spatially-enabled Mobile Decision Support Systems in a Collaborative Decision-Making Environment}},
year = {{2022}},
}