Publication
Creating homogeneous sectors: criteria and applications of sectorization
dc.contributor.author | Lopes, Isabel Cristina | |
dc.contributor.author | Lima, Maria Margarida | |
dc.contributor.author | Ozturk, E. Goksu | |
dc.contributor.author | Rodrigues, Ana Maria | |
dc.contributor.author | Nunes, Ana Catarina | |
dc.contributor.author | Oliveira, Cristina | |
dc.contributor.author | Soeiro Ferreira, José | |
dc.contributor.author | Rocha, Pedro | |
dc.date.accessioned | 2023-01-27T08:26:11Z | |
dc.date.available | 2023-01-27T08:26:11Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Sectorization is the process of grouping a set of previously defined basic units (points or small areas) into a fixed number of sectors. Sectorization is also known in the literature as districting or territory design, and is usually performed to optimize one or more criteria regarding the geographic characteristics of the territory and the planning purposes of sectors. The most common criteria are equilibrium, compactness and contiguity, which can be measured in many ways. Sectorization is similar to clustering but with a different motivation. Both aggregate smaller units into groups. But, while clustering strives for inner similarity of data, sectorization aims at outer homogeneity [1]. In clustering, groups should be very different from each other, and similar points are classified in the same cluster. In sectorization, groups should be very similar to each other, and therefore very different points can be grouped in the same sector. We classify sectorization problems into four types: basic sectorization, sectorization with service centers, resectorization, and dynamic sectorization. A Decision Support System for Sectorization, D3S, is being developed to deal with these four types of problems. Multi-objective genetic algorithms were implemented in D3S using Python, and a user-friendly web interface was developed using Django. Several applications can be solved with D3S, such as political districting, sales territory design, delivery service zones, and assignment of fire stations and health services to the population. | pt_PT |
dc.description.version | info:eu-repo/semantics/draft | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.22/21924 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.relation | Sectorization to Simplify and Solve | |
dc.relation | Center of Organizational and Social Studies of Polytechnic of Porto | |
dc.relation.publisherversion | https://ifcs2022.fep.up.pt/wp-content/uploads/2022/07/IFCS2022_Book_Abstracts_v1.pdf | pt_PT |
dc.subject | Sectorization | pt_PT |
dc.subject | clustering | pt_PT |
dc.subject | decision support system | pt_PT |
dc.subject | optimization | pt_PT |
dc.title | Creating homogeneous sectors: criteria and applications of sectorization | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | Sectorization to Simplify and Solve | |
oaire.awardTitle | Center of Organizational and Social Studies of Polytechnic of Porto | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEGE-OGE%2F31671%2F2017/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05422%2F2020/PT | |
oaire.citation.conferencePlace | Porto, Portugal | pt_PT |
oaire.citation.title | IFCS 2022 Book of Abstracts 17th Conference of the International Federation of Classification Societies Classification and Data Science in the Digital Age | pt_PT |
oaire.fundingStream | 9471 - RIDTI | |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Lopes | |
person.familyName | Almeida Lima | |
person.familyName | Ozturk | |
person.familyName | Rodrigues | |
person.familyName | Nunes | |
person.familyName | Soeiro Ferreira | |
person.familyName | de Monteiro Rocha | |
person.givenName | Isabel Cristina | |
person.givenName | Maria Margarida | |
person.givenName | Elif Goksu | |
person.givenName | Ana Maria | |
person.givenName | Ana Catarina | |
person.givenName | José | |
person.givenName | Pedro Filipe | |
person.identifier | 2277025 | |
person.identifier | R-000-837 | |
person.identifier | J0nUTCgAAAAJ | |
person.identifier.ciencia-id | BC14-DF88-AEBC | |
person.identifier.ciencia-id | D712-912E-CC9B | |
person.identifier.ciencia-id | E815-014D-61C5 | |
person.identifier.ciencia-id | 2B17-0B7B-EAC1 | |
person.identifier.ciencia-id | 281A-76BD-32EA | |
person.identifier.orcid | 0000-0002-4833-470X | |
person.identifier.orcid | 0000-0003-2231-4978 | |
person.identifier.orcid | 0000-0002-8407-1871 | |
person.identifier.orcid | 0000-0003-1070-3626 | |
person.identifier.orcid | 0000-0002-4025-1985 | |
person.identifier.orcid | 0000-0002-7552-9924 | |
person.identifier.orcid | 0000-0002-2871-5070 | |
person.identifier.rid | L-7458-2017 | |
person.identifier.rid | A-2148-2013 | |
person.identifier.scopus-author-id | 36185835200 | |
person.identifier.scopus-author-id | 36742403500 | |
person.identifier.scopus-author-id | 16198890300 | |
person.identifier.scopus-author-id | 55811203100 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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