Selection of sustainability indicators for planning

Combining stakeholders' participation and data reduction techniques

André Mascarenhas, Luis M. Nunes, Tomás B. Ramos

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

The role of spatial planning for sustainable development has been widely acknowledged in academia and in policy. Monitoring spatial plans increases knowledge of whether they achieved their goals in guaranteeing sustainable development on a territorial level. Indicators are suited for this task and could play an important role in determining the applicability or effectiveness of plans. The contribution of indicator sets for effective strategic sustainability monitoring needs to be supported by an analysis of consistency and meaning at each stage of indicator development, from design to implementation. Indicator selection is usually done by experts and/or through participatory approaches and often little is known about the robustness of the selection stage, its utility, accuracy, validity, feasibility and redundancy. The main goal of this research is to identify, through a participatory approach and data reduction techniques, a set of sustainability indicators for strategic monitoring of regional spatial plans. Decision makers and planning practitioners from regional and local authorities, as well as academics, were asked to assess through a scoring procedure the importance of a base set of sustainability indicators to monitor the effects of a spatial plan. Principal Components Analysis, followed by sensitivity analysis with Monte Carlo simulation were used in the data reduction phase. This approach was tested on a set of outcomes/effects indicators developed for the Algarve's regional spatial plan (southern Portugal). It was possible to highlight the importance of involving different groups of stakeholders and to identify relevant indicator selection criteria, as well as a final set of indicators that are more representative of different stakeholders' opinions and more able to translate, in an integrated way, overall changes in sustainability performance. Factors that can influence the results of the approach are discussed, such as stakeholder representativeness and data availability. Recommendations regarding the use of the approach and its results are also presented, for example concerning the use of information conveyed by indicators in an aggregated way, in the form of an index. The approach could be useful to guide the collection of regional sustainability data, contributing to the reporting and assessment of spatial plans, tailored to each particular territorial reality and stakeholders' perceptions, values, needs and concerns.

Original languageEnglish
Pages (from-to)295-307
Number of pages13
JournalJournal of Cleaner Production
Volume92
DOIs
Publication statusPublished - 1 Apr 2015

Fingerprint

Sustainable development
Data reduction
stakeholder
sustainability
Planning
participatory approach
Monitoring
sustainable development
monitoring
development indicator
spatial planning
indicator
planning
participation
Sustainability indicators
Stakeholder participation
Principal component analysis
Sensitivity analysis
Redundancy
sensitivity analysis

Keywords

  • Data reduction techniques
  • Indicator selection
  • Spatial plans
  • Stakeholder engagement
  • Sustainable development

Cite this

@article{6f435445bade40bd8643e05977706120,
title = "Selection of sustainability indicators for planning: Combining stakeholders' participation and data reduction techniques",
abstract = "The role of spatial planning for sustainable development has been widely acknowledged in academia and in policy. Monitoring spatial plans increases knowledge of whether they achieved their goals in guaranteeing sustainable development on a territorial level. Indicators are suited for this task and could play an important role in determining the applicability or effectiveness of plans. The contribution of indicator sets for effective strategic sustainability monitoring needs to be supported by an analysis of consistency and meaning at each stage of indicator development, from design to implementation. Indicator selection is usually done by experts and/or through participatory approaches and often little is known about the robustness of the selection stage, its utility, accuracy, validity, feasibility and redundancy. The main goal of this research is to identify, through a participatory approach and data reduction techniques, a set of sustainability indicators for strategic monitoring of regional spatial plans. Decision makers and planning practitioners from regional and local authorities, as well as academics, were asked to assess through a scoring procedure the importance of a base set of sustainability indicators to monitor the effects of a spatial plan. Principal Components Analysis, followed by sensitivity analysis with Monte Carlo simulation were used in the data reduction phase. This approach was tested on a set of outcomes/effects indicators developed for the Algarve's regional spatial plan (southern Portugal). It was possible to highlight the importance of involving different groups of stakeholders and to identify relevant indicator selection criteria, as well as a final set of indicators that are more representative of different stakeholders' opinions and more able to translate, in an integrated way, overall changes in sustainability performance. Factors that can influence the results of the approach are discussed, such as stakeholder representativeness and data availability. Recommendations regarding the use of the approach and its results are also presented, for example concerning the use of information conveyed by indicators in an aggregated way, in the form of an index. The approach could be useful to guide the collection of regional sustainability data, contributing to the reporting and assessment of spatial plans, tailored to each particular territorial reality and stakeholders' perceptions, values, needs and concerns.",
keywords = "Data reduction techniques, Indicator selection, Spatial plans, Stakeholder engagement, Sustainable development",
author = "Andr{\'e} Mascarenhas and Nunes, {Luis M.} and Ramos, {Tom{\'a}s B.}",
note = "Sem PDF.",
year = "2015",
month = "4",
day = "1",
doi = "10.1016/j.jclepro.2015.01.005",
language = "English",
volume = "92",
pages = "295--307",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Science B.V., Amsterdam.",

}

Selection of sustainability indicators for planning : Combining stakeholders' participation and data reduction techniques. / Mascarenhas, André; Nunes, Luis M.; Ramos, Tomás B.

In: Journal of Cleaner Production, Vol. 92, 01.04.2015, p. 295-307.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Selection of sustainability indicators for planning

T2 - Combining stakeholders' participation and data reduction techniques

AU - Mascarenhas, André

AU - Nunes, Luis M.

AU - Ramos, Tomás B.

N1 - Sem PDF.

PY - 2015/4/1

Y1 - 2015/4/1

N2 - The role of spatial planning for sustainable development has been widely acknowledged in academia and in policy. Monitoring spatial plans increases knowledge of whether they achieved their goals in guaranteeing sustainable development on a territorial level. Indicators are suited for this task and could play an important role in determining the applicability or effectiveness of plans. The contribution of indicator sets for effective strategic sustainability monitoring needs to be supported by an analysis of consistency and meaning at each stage of indicator development, from design to implementation. Indicator selection is usually done by experts and/or through participatory approaches and often little is known about the robustness of the selection stage, its utility, accuracy, validity, feasibility and redundancy. The main goal of this research is to identify, through a participatory approach and data reduction techniques, a set of sustainability indicators for strategic monitoring of regional spatial plans. Decision makers and planning practitioners from regional and local authorities, as well as academics, were asked to assess through a scoring procedure the importance of a base set of sustainability indicators to monitor the effects of a spatial plan. Principal Components Analysis, followed by sensitivity analysis with Monte Carlo simulation were used in the data reduction phase. This approach was tested on a set of outcomes/effects indicators developed for the Algarve's regional spatial plan (southern Portugal). It was possible to highlight the importance of involving different groups of stakeholders and to identify relevant indicator selection criteria, as well as a final set of indicators that are more representative of different stakeholders' opinions and more able to translate, in an integrated way, overall changes in sustainability performance. Factors that can influence the results of the approach are discussed, such as stakeholder representativeness and data availability. Recommendations regarding the use of the approach and its results are also presented, for example concerning the use of information conveyed by indicators in an aggregated way, in the form of an index. The approach could be useful to guide the collection of regional sustainability data, contributing to the reporting and assessment of spatial plans, tailored to each particular territorial reality and stakeholders' perceptions, values, needs and concerns.

AB - The role of spatial planning for sustainable development has been widely acknowledged in academia and in policy. Monitoring spatial plans increases knowledge of whether they achieved their goals in guaranteeing sustainable development on a territorial level. Indicators are suited for this task and could play an important role in determining the applicability or effectiveness of plans. The contribution of indicator sets for effective strategic sustainability monitoring needs to be supported by an analysis of consistency and meaning at each stage of indicator development, from design to implementation. Indicator selection is usually done by experts and/or through participatory approaches and often little is known about the robustness of the selection stage, its utility, accuracy, validity, feasibility and redundancy. The main goal of this research is to identify, through a participatory approach and data reduction techniques, a set of sustainability indicators for strategic monitoring of regional spatial plans. Decision makers and planning practitioners from regional and local authorities, as well as academics, were asked to assess through a scoring procedure the importance of a base set of sustainability indicators to monitor the effects of a spatial plan. Principal Components Analysis, followed by sensitivity analysis with Monte Carlo simulation were used in the data reduction phase. This approach was tested on a set of outcomes/effects indicators developed for the Algarve's regional spatial plan (southern Portugal). It was possible to highlight the importance of involving different groups of stakeholders and to identify relevant indicator selection criteria, as well as a final set of indicators that are more representative of different stakeholders' opinions and more able to translate, in an integrated way, overall changes in sustainability performance. Factors that can influence the results of the approach are discussed, such as stakeholder representativeness and data availability. Recommendations regarding the use of the approach and its results are also presented, for example concerning the use of information conveyed by indicators in an aggregated way, in the form of an index. The approach could be useful to guide the collection of regional sustainability data, contributing to the reporting and assessment of spatial plans, tailored to each particular territorial reality and stakeholders' perceptions, values, needs and concerns.

KW - Data reduction techniques

KW - Indicator selection

KW - Spatial plans

KW - Stakeholder engagement

KW - Sustainable development

UR - http://www.scopus.com/inward/record.url?scp=84924503506&partnerID=8YFLogxK

U2 - 10.1016/j.jclepro.2015.01.005

DO - 10.1016/j.jclepro.2015.01.005

M3 - Article

VL - 92

SP - 295

EP - 307

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -