Paper Info
Title
Design of a data-driven environmental decision support system and testing of stakeholder data-collection
Abstract
The aims of this paper are to present the requirements and top level design of a decision support system that facilitates the exchange of environmental information between local level and higher levels of government, as well as to assess the possibility to include the local individual in the decision making process. The design of a tool for data collection and exchange of available data also aims to predict impacts of small-scale locally oriented actions by the local administration and residents on incomes and biodiversity, monitor results of the decisions that follow such prediction and inform central policy assessors to enable appropriate tuning of regulatory and fiscal incentives. The potential of data gathering for use in a DSS was tested by case studies across Europe. The main challenges for implementing effective environmental decision support are now more socio-economic than technical, requiring also a more local-orientated attitude of researchers and government. We produced the top level design of an environmental decision support system.It facilitates the exchange of environmental information from local level to higher levels of government.We conducted case studies of data gathering for use in the designed DSS.Communities with most advanced education and IT use were most positive about nature.Local populations were both competent and willing to gather appropriate data.
Year
DOI
Venue
2014
10.1016/j.envsoft.2014.01.025
Environmental Modelling and Software
Keywords
Field
DocType
stakeholder data-collection,available data,higher level,local individual,environmental information,decision support system,data-driven environmental decision support,top level design,local level,effective environmental decision support,data collection,local administration,citizen science,land use,system analysis and design
Data collection,Structured systems analysis and design method,Data-driven,Stakeholder,Incentive,Computer science,Decision support system,Decision-making,Management science,Government
Journal
Volume
Issue
ISSN
55
C
1364-8152
Citations 
PageRank 
References 
7
0.45
11
Authors
2
Name
Order
Citations
PageRank
Jason Papathanasiou1237.46
Robert Kenward270.45