PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA
The objective of this research is to identify the main characteristics and geographical distribution of bus stops, associated with collective public transport systems, through data analysis techniques that can identify clustering patterns based on various characteristics of the stops, such as geog...
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| Format: | Article |
| Language: | English |
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Editura Universităţii din Oradea
2024-10-01
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| Series: | Geo Journal of Tourism and Geosites |
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| Online Access: | https://gtg.webhost.uoradea.ro/PDF/GTG-4-2024/gtg.56401-1315.pdf |
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| _version_ | 1832541100511854592 |
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| author | Jorge Alberto MONTOYA Diego Alexander ESCOBAR Carlos Alberto MONCADA |
| author_facet | Jorge Alberto MONTOYA Diego Alexander ESCOBAR Carlos Alberto MONCADA |
| author_sort | Jorge Alberto MONTOYA |
| collection | DOAJ |
| description | The objective of this research is to identify the main characteristics and geographical distribution of bus stops,
associated with collective public transport systems, through data analysis techniques that can identify clustering patterns
based on various characteristics of the stops, such as geographical location, passenger flow, service demand, land use, etc.
number of routes available, slope of the road, signage, among other relevant factors. The main result of this study is that t he
current layout of the stops is distributed according to the main characteristics of their environment, allowing us to conclude
that the grouping of transport stops facilitates the interpretation of the location and operability of the stops, thus allowi ng to
improve decision-making in the implementation of stops, guaranteeing an adequate operation of the service without
compromising coverage and travel time of users.
|
| format | Article |
| id | doaj-art-d3bfcec71ad7473980c2cf4a5fe29884 |
| institution | Kabale University |
| issn | 2065-0817 2065-1198 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Editura Universităţii din Oradea |
| record_format | Article |
| series | Geo Journal of Tourism and Geosites |
| spelling | doaj-art-d3bfcec71ad7473980c2cf4a5fe298842025-02-04T10:16:14ZengEditura Universităţii din OradeaGeo Journal of Tourism and Geosites2065-08172065-11982024-10-015641448145310.30892/gtg.56401-1315PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIAJorge Alberto MONTOYA0Diego Alexander ESCOBAR1Carlos Alberto MONCADA2Universidad Nacional de Colombia, Sede Manizales, Facultad de Ingeniería y Arquitectura, Departamento de Ingeniería Civil, Grupo de Investigación en Movilidad Sostenible, Manizales, Colombia, e-mail: joamontoyago@unal.edu.coUniversidad Nacional de Colombia, Sede Manizales. Facultad de Ingeniería y Arquitectura, Departamento de Ingeniería Civil, Grupo de Investigación en Movilidad Sostenible, Manizales, Colombia, e-mail: daescobarga@unal.edu.coUniversidad Nacional de Colombia, Sede Bogotá. Facultad de Ingeniería, Departamento de Ingeniería Civil y Agrícola, Programa de Investigación en Tránsito y Transporte – PIT, Bogotá, Colombia, e-mail: camoncadaa@unal.edu.coThe objective of this research is to identify the main characteristics and geographical distribution of bus stops, associated with collective public transport systems, through data analysis techniques that can identify clustering patterns based on various characteristics of the stops, such as geographical location, passenger flow, service demand, land use, etc. number of routes available, slope of the road, signage, among other relevant factors. The main result of this study is that t he current layout of the stops is distributed according to the main characteristics of their environment, allowing us to conclude that the grouping of transport stops facilitates the interpretation of the location and operability of the stops, thus allowi ng to improve decision-making in the implementation of stops, guaranteeing an adequate operation of the service without compromising coverage and travel time of users. https://gtg.webhost.uoradea.ro/PDF/GTG-4-2024/gtg.56401-1315.pdfclusteringpublic transportationbus stopscoverage |
| spellingShingle | Jorge Alberto MONTOYA Diego Alexander ESCOBAR Carlos Alberto MONCADA PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA Geo Journal of Tourism and Geosites clustering public transportation bus stops coverage |
| title | PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA |
| title_full | PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA |
| title_fullStr | PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA |
| title_full_unstemmed | PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA |
| title_short | PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA |
| title_sort | public transportation through the clustering analysis of bus stops case study manizales colombia |
| topic | clustering public transportation bus stops coverage |
| url | https://gtg.webhost.uoradea.ro/PDF/GTG-4-2024/gtg.56401-1315.pdf |
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