Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services
The discovery of human mobility patterns of cities provides invaluable information for decision-makers who are responsible for redesign of community spaces, traffic, and public transportation systems and building more sustainable cities. The present article proposes a possibilistic fuzzy c-medoid cl...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536562/?tool=EBI |
| _version_ | 1797996059268481024 |
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| author | Miklós Mezei Imre Felde György Eigner Gyula Dörgő Tamás Ruppert János Abonyi |
| author_facet | Miklós Mezei Imre Felde György Eigner Gyula Dörgő Tamás Ruppert János Abonyi |
| author_sort | Miklós Mezei |
| collection | DOAJ |
| description | The discovery of human mobility patterns of cities provides invaluable information for decision-makers who are responsible for redesign of community spaces, traffic, and public transportation systems and building more sustainable cities. The present article proposes a possibilistic fuzzy c-medoid clustering algorithm to study human mobility. The proposed medoid-based clustering approach groups the typical mobility patterns within walking distance to the stations of the public transportation system. The departure times of the clustered trips are also taken into account to obtain recommendations for the scheduling of the designed public transportation lines. The effectiveness of the proposed methodology is revealed in an illustrative case study based on the analysis of the GPS data of Taxicabs recorded during nights over a one-year-long period in Budapest. |
| first_indexed | 2024-04-11T10:11:27Z |
| format | Article |
| id | doaj.art-2655963e4ad94ad7bd2813daea181a78 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-11T10:11:27Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-2655963e4ad94ad7bd2813daea181a782022-12-22T04:30:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011710Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport servicesMiklós MezeiImre FeldeGyörgy EignerGyula DörgőTamás RuppertJános AbonyiThe discovery of human mobility patterns of cities provides invaluable information for decision-makers who are responsible for redesign of community spaces, traffic, and public transportation systems and building more sustainable cities. The present article proposes a possibilistic fuzzy c-medoid clustering algorithm to study human mobility. The proposed medoid-based clustering approach groups the typical mobility patterns within walking distance to the stations of the public transportation system. The departure times of the clustered trips are also taken into account to obtain recommendations for the scheduling of the designed public transportation lines. The effectiveness of the proposed methodology is revealed in an illustrative case study based on the analysis of the GPS data of Taxicabs recorded during nights over a one-year-long period in Budapest.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536562/?tool=EBI |
| spellingShingle | Miklós Mezei Imre Felde György Eigner Gyula Dörgő Tamás Ruppert János Abonyi Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services PLoS ONE |
| title | Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services |
| title_full | Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services |
| title_fullStr | Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services |
| title_full_unstemmed | Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services |
| title_short | Goal-oriented possibilistic fuzzy C-Medoid clustering of human mobility patterns—Illustrative application for the Taxicab trips-based enrichment of public transport services |
| title_sort | goal oriented possibilistic fuzzy c medoid clustering of human mobility patterns illustrative application for the taxicab trips based enrichment of public transport services |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536562/?tool=EBI |
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