Optimizing spatial survey administration adopting RT-GSCS: A statistical perspective on performance metrics

The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a con...

Full description

Saved in:
Bibliographic Details
Published inMethodsX Vol. 12; p. 102578
Main Authors Calleo, Yuri, Pilla, Francesco
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.06.2024
Elsevier
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances. [Display omitted]
AbstractList The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances.
The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances.The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances.
The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances. [Display omitted]
The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus. • Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time. • The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version. • The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances. Image, graphical abstract
ArticleNumber 102578
Author Pilla, Francesco
Calleo, Yuri
Author_xml – sequence: 1
  givenname: Yuri
  orcidid: 0000-0002-0190-6061
  surname: Calleo
  fullname: Calleo, Yuri
  email: yuri.calleo@ucdconnect.ie
– sequence: 2
  givenname: Francesco
  surname: Pilla
  fullname: Pilla, Francesco
BackLink https://www.ncbi.nlm.nih.gov/pubmed/39669964$$D View this record in MEDLINE/PubMed
BookMark eNqNUk1v1DAQtVAR_aA_gAvKkUsW23HsBA6oWtFSqVIlWs6WY08WL0kcbO-K8uuZdlvUcqg42TPz3tOz5x2SvSlMQMgbRheMMvl-vRjh14JTLrDmtWpekAPOWV3ikO09uu-T45TWlFJWiYoJ_orsV62UbSvFAflxOWc_-t9-WhVpNtmboUibuIWbwrjRTz7liN0wYRkQirCv1-XZ1fLqQ3FSpIyzlL1F1gwxzWCz30KBcCz7EEczWShGyNHb9Jq87M2Q4Pj-PCLfTj9fL7-UF5dn58uTi9LWNculNNI6KngjpbAgKita1dGuc5YyY-umor0y1DHrWmWlkvimWjlTSUsbJXlVHZHzna4LZq3n6EcTb3QwXt81QlxpE9H0ANq1gtmed6qVVKjONb2CllMlVG9B1Qa1Pu205k03grMw4X8MT0SfTib_Xa_CVjMmK9lIhQrv7hVi-LmBlPXok4VhMBOETdIVqxHImob-B1RIKRVlAqFvH_v6a-hhswhQO4CNIaUIvbY-320SbfpBM6pvY6TXGmOkb2OkdzFCJvuH-SD-HOfjjgO4162HqJP1gLt3PmIm8OP9M-w_Zp_gaA
CitedBy_id crossref_primary_10_1186_s12544_024_00685_7
Cites_doi 10.1016/j.techfore.2010.09.010
10.1287/mnsc.9.3.458
10.1016/S0169-2070(99)00018-7
10.1016/j.techfore.2011.09.002
10.1016/j.techfore.2016.09.029
10.1108/10662240510590360
10.1016/j.futures.2023.103280
ContentType Journal Article
Copyright 2024 The Author(s)
2024 The Author(s).
2024 The Author(s) 2024
Copyright_xml – notice: 2024 The Author(s)
– notice: 2024 The Author(s).
– notice: 2024 The Author(s) 2024
DBID 6I.
AAFTH
AAYXX
CITATION
NPM
7X8
7S9
L.6
5PM
DOA
DOI 10.1016/j.mex.2024.102578
DatabaseName ScienceDirect Open Access Titles
Elsevier:ScienceDirect:Open Access
CrossRef
PubMed
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
PubMed Central (Full Participant titles)
Directory of Open Access Journals - May need to register for free articles
DatabaseTitle CrossRef
PubMed
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList AGRICOLA
PubMed
MEDLINE - Academic



Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2215-0161
ExternalDocumentID oai_doaj_org_article_d941cf2b796047bd8f7e920747fce75a
PMC11636867
39669964
10_1016_j_mex_2024_102578
S2215016124000323
Genre Journal Article
GroupedDBID 0SF
4.4
457
53G
5VS
6I.
AACTN
AAEDT
AAEDW
AAFTH
AAHBH
AAIKJ
AALRI
AAXUO
ABMAC
ACGFS
ADBBV
ADEZE
ADRAZ
ADVLN
AEXQZ
AFPKN
AFTJW
AGHFR
AITUG
AKRWK
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
AOIJS
BCNDV
EBS
EJD
FDB
GROUPED_DOAJ
HYE
IPNFZ
IXB
KQ8
M48
M~E
NCXOZ
OK1
RIG
ROL
RPM
SSZ
0R~
AAFWJ
AAYWO
AAYXX
ACVFH
ADCNI
AEUPX
AFJKZ
AFPUW
AIGII
AKBMS
AKYEP
APXCP
CITATION
NPM
7X8
7S9
L.6
5PM
ID FETCH-LOGICAL-c551t-6a6cd0428664ce43c497b0bbdc01ac5830f7a0d1cd97c67631457da36c0876233
IEDL.DBID M48
ISSN 2215-0161
IngestDate Wed Aug 27 01:03:37 EDT 2025
Thu Aug 21 18:29:28 EDT 2025
Fri Aug 22 21:00:59 EDT 2025
Fri Jul 11 04:41:03 EDT 2025
Thu Jan 02 22:23:16 EST 2025
Tue Jul 01 00:59:03 EDT 2025
Thu Apr 24 22:53:21 EDT 2025
Sat Jul 20 16:35:38 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords Statistical evaluation
Real-Time Geo-Spatial Consensus System (RT-GSCS)
Real-time geo-spatial consensus system
Real-time spatial Delphi
Spatial consensus
Language English
License This is an open access article under the CC BY license.
2024 The Author(s).
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c551t-6a6cd0428664ce43c497b0bbdc01ac5830f7a0d1cd97c67631457da36c0876233
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-0190-6061
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1016/j.mex.2024.102578
PMID 39669964
PQID 3146667014
PQPubID 23479
ParticipantIDs doaj_primary_oai_doaj_org_article_d941cf2b796047bd8f7e920747fce75a
pubmedcentral_primary_oai_pubmedcentral_nih_gov_11636867
proquest_miscellaneous_3153681880
proquest_miscellaneous_3146667014
pubmed_primary_39669964
crossref_citationtrail_10_1016_j_mex_2024_102578
crossref_primary_10_1016_j_mex_2024_102578
elsevier_sciencedirect_doi_10_1016_j_mex_2024_102578
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2024-06-01
PublicationDateYYYYMMDD 2024-06-01
PublicationDate_xml – month: 06
  year: 2024
  text: 2024-06-01
  day: 01
PublicationDecade 2020
PublicationPlace Netherlands
PublicationPlace_xml – name: Netherlands
PublicationTitle MethodsX
PublicationTitleAlternate MethodsX
PublicationYear 2024
Publisher Elsevier B.V
Elsevier
Publisher_xml – name: Elsevier B.V
– name: Elsevier
References Di Zio, Rosas, Lamelza (bib0011) 2017; 115
Solove (bib0018) 2012; 126
Rowe, Wright (bib0017) 2011; 78
Ula, Adek, Bustami (bib0019) 2021; 1
Calleo, Giuffrida, Pilla (bib0006) 2023
Grime, Wright (bib0013) 2016; 1
Dalkey, Helmer (bib0007) 1963; 9
Bartuskova, Krejcar (bib0002) 2015
Alsmadi, Samarah, Saifan, Zamil (bib0001) 2010; 1
Nayak, Narayan (bib0015) 2019; 6
Linstone, Turoff (bib0014) 1975
Booth, Jansen (bib0003) 2010
Di Zio, Calleo, Bolzan (bib0010) 2023
Evans, Mathur (bib0012) 2005; 15
Rowe, Wright (bib0016) 1999; 15
Dawis, Setiawan (bib0008) 2022; 3
Calleo, Di Zio, Pilla (bib0004) 2023; e155
Di Zio, Pacinelli (bib0009) 2011; 78
Calleo, Di Zio, Pilla (bib0005) 2023
Di Zio (10.1016/j.mex.2024.102578_bib0009) 2011; 78
Rowe (10.1016/j.mex.2024.102578_bib0016) 1999; 15
Grime (10.1016/j.mex.2024.102578_bib0013) 2016; 1
Booth (10.1016/j.mex.2024.102578_bib0003) 2010
Di Zio (10.1016/j.mex.2024.102578_bib0011) 2017; 115
Solove (10.1016/j.mex.2024.102578_bib0018) 2012; 126
Calleo (10.1016/j.mex.2024.102578_bib0005) 2023
Calleo (10.1016/j.mex.2024.102578_bib0006) 2023
Rowe (10.1016/j.mex.2024.102578_bib0017) 2011; 78
Evans (10.1016/j.mex.2024.102578_bib0012) 2005; 15
Linstone (10.1016/j.mex.2024.102578_bib0014) 1975
Di Zio (10.1016/j.mex.2024.102578_bib0010) 2023
Dalkey (10.1016/j.mex.2024.102578_bib0007) 1963; 9
Dawis (10.1016/j.mex.2024.102578_bib0008) 2022; 3
Ula (10.1016/j.mex.2024.102578_bib0019) 2021; 1
Nayak (10.1016/j.mex.2024.102578_bib0015) 2019; 6
Bartuskova (10.1016/j.mex.2024.102578_bib0002) 2015
Calleo (10.1016/j.mex.2024.102578_bib0004) 2023; e155
Alsmadi (10.1016/j.mex.2024.102578_bib0001) 2010; 1
References_xml – volume: 1
  start-page: 1
  year: 2021
  end-page: 6
  ident: bib0019
  article-title: Emarketplace performance analysis using PIECES method
  publication-title: Int. J. Eng. Sci. Inf. Technol.
– volume: 78
  start-page: 1565
  year: 2011
  end-page: 1578
  ident: bib0009
  article-title: Opinion convergence in location: a spatial version of the Delphi method
  publication-title: Technol. Forecast. Soc. Change
– year: 2023
  ident: bib0005
  article-title: Empowering futures adopting a spatial convergence of opinions: a real-time spatial Delphi approach
– start-page: 65
  year: 2015
  end-page: 74
  ident: bib0002
  article-title: Loading speed of modern websites and reliability of online speed test services
  publication-title: Computational Collective Intelligence: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II
– volume: 126
  start-page: 1880
  year: 2012
  ident: bib0018
  article-title: Introduction: privacy self-management and the consent dilemma
  publication-title: Harv. Law Rev.
– start-page: 3
  year: 1975
  end-page: 12
  ident: bib0014
  publication-title: The Delphi method
– volume: 6
  start-page: 0837
  year: 2019
  end-page: 2405053138
  ident: bib0015
  article-title: Strengths and weaknesses of online surveys
  publication-title: Technology
– volume: 78
  start-page: 1487
  year: 2011
  end-page: 1490
  ident: bib0017
  article-title: The Delphi technique: past, present, and future prospects—Introduction to the special issue
  publication-title: Technol. Forecast. Soc. Change
– year: 2023
  ident: bib0006
  article-title: Using real-time spatial Delphi to locate loading bays and parcel lockers
  publication-title: 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14)
– volume: 15
  start-page: 353
  year: 1999
  end-page: 375
  ident: bib0016
  article-title: The Delphi technique as a forecasting tool: issues and analysis
  publication-title: Int. J. Forecast.
– volume: 115
  start-page: 143
  year: 2017
  end-page: 154
  ident: bib0011
  article-title: Real time spatial Delphi: fast convergence of experts’ opinions on the territory
  publication-title: Technol. Forecast. Soc. Change
– volume: 1
  start-page: 16
  year: 2016
  ident: bib0013
  article-title: Delphi method
  publication-title: Wiley StatsRef: Stat. Ref. Online
– volume: e155
  year: 2023
  ident: bib0004
  article-title: Facilitating spatial consensus in complex future scenarios through real-time spatial Delphi: a novel web-based open platform
  publication-title: Futures Foresight Sci.
– volume: 3
  start-page: 17
  year: 2022
  end-page: 20
  ident: bib0008
  article-title: Evaluation of the website ‘Aisyiyah Surakarta of University performance based on search engine optimization using automated software testing Gtmetrix
  publication-title: Int. J. Comput. Inf. Syst. (IJCIS)
– volume: 1
  start-page: 41
  year: 2010
  end-page: 49
  ident: bib0001
  article-title: Automatic model based methods to improve test effectiveness
  publication-title: Univers. J. Comput. Sci. Eng. Technol.
– volume: 15
  start-page: 195
  year: 2005
  end-page: 219
  ident: bib0012
  article-title: The value of online surveys
  publication-title: Internet Res.
– year: 2023
  ident: bib0010
  article-title: Delphi-based visual scenarios: an innovative use of generative adversarial networks
  publication-title: Futures
– start-page: 145
  year: 2010
  end-page: 166
  ident: bib0003
  article-title: A review of methodologies for analyzing websites
  publication-title: Web Technologies: Concepts, Methodologies, Tools, and Applications
– volume: 9
  start-page: 458
  year: 1963
  end-page: 467
  ident: bib0007
  article-title: An experimental application of the Delphi method to the use of experts
  publication-title: Manage. Sci.
– volume: 1
  start-page: 41
  issue: 1
  year: 2010
  ident: 10.1016/j.mex.2024.102578_bib0001
  article-title: Automatic model based methods to improve test effectiveness
  publication-title: Univers. J. Comput. Sci. Eng. Technol.
– volume: e155
  year: 2023
  ident: 10.1016/j.mex.2024.102578_bib0004
  article-title: Facilitating spatial consensus in complex future scenarios through real-time spatial Delphi: a novel web-based open platform
  publication-title: Futures Foresight Sci.
– volume: 78
  start-page: 1565
  issue: 9
  year: 2011
  ident: 10.1016/j.mex.2024.102578_bib0009
  article-title: Opinion convergence in location: a spatial version of the Delphi method
  publication-title: Technol. Forecast. Soc. Change
  doi: 10.1016/j.techfore.2010.09.010
– start-page: 65
  year: 2015
  ident: 10.1016/j.mex.2024.102578_bib0002
  article-title: Loading speed of modern websites and reliability of online speed test services
– start-page: 145
  year: 2010
  ident: 10.1016/j.mex.2024.102578_bib0003
  article-title: A review of methodologies for analyzing websites
– volume: 6
  start-page: 0837
  issue: 7
  year: 2019
  ident: 10.1016/j.mex.2024.102578_bib0015
  article-title: Strengths and weaknesses of online surveys
  publication-title: Technology
– volume: 1
  start-page: 16
  year: 2016
  ident: 10.1016/j.mex.2024.102578_bib0013
  article-title: Delphi method
  publication-title: Wiley StatsRef: Stat. Ref. Online
– volume: 9
  start-page: 458
  issue: 3
  year: 1963
  ident: 10.1016/j.mex.2024.102578_bib0007
  article-title: An experimental application of the Delphi method to the use of experts
  publication-title: Manage. Sci.
  doi: 10.1287/mnsc.9.3.458
– year: 2023
  ident: 10.1016/j.mex.2024.102578_bib0006
  article-title: Using real-time spatial Delphi to locate loading bays and parcel lockers
– year: 2023
  ident: 10.1016/j.mex.2024.102578_bib0005
– volume: 3
  start-page: 17
  issue: 1
  year: 2022
  ident: 10.1016/j.mex.2024.102578_bib0008
  article-title: Evaluation of the website ‘Aisyiyah Surakarta of University performance based on search engine optimization using automated software testing Gtmetrix
  publication-title: Int. J. Comput. Inf. Syst. (IJCIS)
– start-page: 3
  year: 1975
  ident: 10.1016/j.mex.2024.102578_bib0014
– volume: 15
  start-page: 353
  issue: 4
  year: 1999
  ident: 10.1016/j.mex.2024.102578_bib0016
  article-title: The Delphi technique as a forecasting tool: issues and analysis
  publication-title: Int. J. Forecast.
  doi: 10.1016/S0169-2070(99)00018-7
– volume: 1
  start-page: 1
  issue: 4
  year: 2021
  ident: 10.1016/j.mex.2024.102578_bib0019
  article-title: Emarketplace performance analysis using PIECES method
  publication-title: Int. J. Eng. Sci. Inf. Technol.
– volume: 78
  start-page: 1487
  issue: 9
  year: 2011
  ident: 10.1016/j.mex.2024.102578_bib0017
  article-title: The Delphi technique: past, present, and future prospects—Introduction to the special issue
  publication-title: Technol. Forecast. Soc. Change
  doi: 10.1016/j.techfore.2011.09.002
– volume: 115
  start-page: 143
  year: 2017
  ident: 10.1016/j.mex.2024.102578_bib0011
  article-title: Real time spatial Delphi: fast convergence of experts’ opinions on the territory
  publication-title: Technol. Forecast. Soc. Change
  doi: 10.1016/j.techfore.2016.09.029
– volume: 15
  start-page: 195
  issue: 2
  year: 2005
  ident: 10.1016/j.mex.2024.102578_bib0012
  article-title: The value of online surveys
  publication-title: Internet Res.
  doi: 10.1108/10662240510590360
– volume: 126
  start-page: 1880
  year: 2012
  ident: 10.1016/j.mex.2024.102578_bib0018
  article-title: Introduction: privacy self-management and the consent dilemma
  publication-title: Harv. Law Rev.
– year: 2023
  ident: 10.1016/j.mex.2024.102578_bib0010
  article-title: Delphi-based visual scenarios: an innovative use of generative adversarial networks
  publication-title: Futures
  doi: 10.1016/j.futures.2023.103280
SSID ssj0001343142
Score 2.3252575
Snippet The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
elsevier
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 102578
SubjectTerms algorithms
decision making
Internet
Real-time geo-spatial consensus system
Real-Time Geo-Spatial Consensus System (RT-GSCS)
Real-time spatial Delphi
Spatial consensus
spatial data
Statistic
statistical analysis
Statistical evaluation
surveys
SummonAdditionalLinks – databaseName: Directory of Open Access Journals - May need to register for free articles
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Rb9MwELbQHhAvCAZjBTYZiadJEUl8tlPeRkVXIQESW6W-WY7jaGU0rdZ2Gvx67pykbUAqL7yl6bmpfWffXfz5O8bepsJJqUuCVTkVgU4hyjVepXkCHicfupCAtviiRmP4NJGTnVJfhAmr6YHrgXtX9CFxZZprYhHReZGV2vdTon0vndcyhEbo83aSqfB2RaBjhLTdxgyArpm_x3wwBWIrkFRWbccRBb7-jj_6O978Eza544eGT9jjJoDk5_Uff8oe-OqQPfzcbJE_YzdfcRGYTX-hS-JLgkuj8HJ9e-d_ctshysWP8wWBnvm3q-jicnD5np9zOl8UqJux1WJ7DpOj-GJ7xIDPqA6XWz5n4-HHq8EoaioqRKiRZBUpq1xBWZJS4DwIB32dx3leuDixTmYiLrWNi8QVfVQYLj0JSF1YoRwx16VCHLGDal75Y8ZL8GVMcpjEQZHE1oIqM3C4RoC0se6xuB1e4xq6cap68cO0uLLvBjViSCOm1kiPnW2aLGqujX3CH0hnG0GiyQ430HhMYzzmX8bTY9Bq3DQRRx1J4E9N9z37TWsdBmcjbbHYys_XS4MDhvmgxrxzn4wUKiMevB57UVvUphcCs0_MQLF11rG1Tje731TT68AKnmBkrTKlX_6PgXnFHlF_a0zca3awul37E4y-VvlpmGi_ATUZLYY
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Elsevier ScienceDirect Open Access Journals
  dbid: IXB
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELZWe0BcEG_KS0bihBTV8TPd227FskICJLor9WY5jgMBmkZ9rIBfz4yTtBuQeuCWpOO09oznUc98Q8hrLrxSpsS0Kq8TabhMcgNXPE9lgM0HJiRmW3zUF1fy_VzNj8i0r4XBtMpO97c6PWrr7sm4W81xU1XjGQdrhQ4LZkEywRHxU8gsFvHNz_b_swgwkbGHDtInOKA_3IxpXovwE6JELhHDQGGztRvmKaL4D6zUv17o38mUN6zT-V1yp3Mr6Wn7y--Ro1DfJ7c-dAfnD8j3T6AaFtVvMFR0jUnUQLzerq7DL-oG8Llwu2wwFZp-vkzezaazE3pKseooAjrDqGZfnUmBvNkXHtAFdufy64fk6vzt5fQi6fosJMCndJNop32BsZPW0gcpvJyYnOV54VnqvMoEK41jReqLCbARFFIqlSmc0B7x7LgQj8hxvazDE0JLGUqGdBDaySJlzkldZtKD5pDKMTMirF9e6zsQcuyF8cP22WbfLHDEIkdsy5ERebMb0rQIHIeIz5BnO0IEz44PlqsvtpMeW0xk6kueGwSmMXmRlSZMOHYSKH0wyo2I7DluB7IIr6oOfferXjos7FE8eHF1WG7XFhYMokQD0eghGiV0huh4I_K4lajdLATEpBCXwuhsIGuDaQ4_qauvESs8BX9bZ9o8_b85PSO38a7NjXtOjjerbXgBXtgmfxm32R8HFC7X
  priority: 102
  providerName: Elsevier
Title Optimizing spatial survey administration adopting RT-GSCS: A statistical perspective on performance metrics
URI https://dx.doi.org/10.1016/j.mex.2024.102578
https://www.ncbi.nlm.nih.gov/pubmed/39669964
https://www.proquest.com/docview/3146667014
https://www.proquest.com/docview/3153681880
https://pubmed.ncbi.nlm.nih.gov/PMC11636867
https://doaj.org/article/d941cf2b796047bd8f7e920747fce75a
Volume 12
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwED-NISFe0MZnGZuMxBNSUBI7doqE0DYxBtJAYqvUN8txnFFY09K0aNtfvzsnaQlMlXiJ8nF2FN-d7y4-_w7gVcxtkqiC0qqsDISKRZApPIuzSDhUPjQhPtviizweiM_DZLgBbXmrZgCrW0M7qic1mF28ufx19R4V_t0qV2vsLjHUiwUBEaAI3oG7aJgUFTQ4abx9_8uFo7X05XRiNHQBOTvtOudtvXQslQf07xisfx3Sv_Mq_zBUR1vwoPEw2X4tEtuw4cqHcO-kWUN_BD-_4iwxHl2jzWIV5VMjcbWY_XZXzHSQdPFyMqWsaPbtLPh4enj6lu0z2oDksZ2x1XS1UZMh-XS1B4GNqVCXrR7D4OjD2eFx0JRcCJBl0TyQRtqcwigphXWCW9FXWZhluQ0jY5OUh4UyYR7ZvI8cxbkpEonKDZeWoO1izp_AZjkp3TNghXBFSHQY5Yk8Co0RskiFxUlEJCZUPQjb4dW2wSOnshgXuk08-6GRI5o4omuO9OD1ssm0BuNYR3xAPFsSEo62vzGZnetGLXXeF5Et4kwRRo3K8rRQrh9TUYHCOpWYHoiW47pxSWpXA7sarXv3y1Y6NKorrcGY0k0WlcYBw4BRYWC6jibhMiWgvB48rSVq-RUcw1MMUbF12pG1zmd2n5Sj7x42PELXW6ZSPf-fUdyB-3RVJ8e9gM35bOF20Q2bZ3v-9wUePw0P9ryi3QAtCzBW
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELemIQEviG_KxjASvCBFTRzHTifxsA1Gyz6QaCf1zTiOA4E1jZoWGP8W_-Du8tEuIPUBaW9pck7tO_s-4vPvCHnJfBMEMsG0KiMcLhl3IglXLPK4hcUHJqTMtjgV_TP-YRyMN8if5iwMplXWur_S6aW2ru90a2528zTtDhlYK3RYMAvS9VlTwfrIXvyEuK14M3gLQn7F2OG70UHfqUsLONA1b-4ILUyM4YIQ3FjuG96TkRtFsXE9bYLQdxOp3dgzcQ96DmvQ44GMtS8MQrgx_AoKev8GeB8StcFgvL_6sOODTS6L9mAHHexhs5ta5pVN7C8ISxlH0IQAq7tdsYdl2YCWWfzX7f07e_OKOTy8S-7Ufizdq1h1j2zY7D65eVLv1D8g3z-CLpqkv8Ey0gKztoG4WMx-2AuqW3i98HOaY-41_TRy3g8Phrt0j-IxpxJBGlrlq-OgFMjz1UkHOsFyYKZ4SM6uhfuPyGY2zewTQhNuExfpIJbksedqzUUScgOqigfalR3iNuxVpkY9x-Ib56pJb_umQCIKJaIqiXTI62WTvIL8WEe8jzJbEiJad3ljOvui6umq4h73TMIiiUg4MorDRNoew9IFibEy0B3CG4mr1uSHV6Xr_vtFMzsUKAXc6dGZnS4KBQyDsFRC-LuOJvBFiHB8HfK4mlHLUfgQBEMgDK3D1lxrDbP9JEu_luDkHjj4IhTy6f-N6Tm51R-dHKvjwenRFrmNT6rEvG2yOZ8t7DNwAefRTrnkKPl83Wv8EgzBavU
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimizing+spatial+survey+administration+adopting+RT-GSCS%3A+A+statistical+perspective+on+performance+metrics&rft.jtitle=MethodsX&rft.au=Calleo%2C+Yuri&rft.au=Pilla%2C+Francesco&rft.date=2024-06-01&rft.issn=2215-0161&rft.eissn=2215-0161&rft.volume=12&rft.spage=102578&rft_id=info:doi/10.1016%2Fj.mex.2024.102578&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_mex_2024_102578
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2215-0161&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2215-0161&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2215-0161&client=summon