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 geogra...
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| Veröffentlicht in: | GeoJournal of tourism and geosites 2024-12, Vol.56 (4), p.1448-1453 |
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| container_title | GeoJournal of tourism and geosites |
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| creator | MONTOYA, Jorge Alberto ESCOBAR, Diego Alexander MONCADA, Carlos Alberto |
| 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. |
| doi_str_mv | 10.30892/gtg.56401-1315 |
| format | Article |
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CASE STUDY MANIZALES, COLOMBIA</title><source>DOAJ Directory of Open Access Journals</source><creator>MONTOYA, Jorge Alberto ; ESCOBAR, Diego Alexander ; MONCADA, Carlos Alberto</creator><creatorcontrib>MONTOYA, Jorge Alberto ; ESCOBAR, Diego Alexander ; MONCADA, Carlos Alberto ; Universidad Nacional de Colombia, Sede Manizales. Facultad de Ingeniería y Arquitectura, Departamento de Ingeniería Civil, Grupo de Investigación en Movilidad Sostenible, Manizales, Colombia ; Universidad Nacional de Colombia, Sede Bogotá. Facultad de Ingeniería, Departamento de Ingeniería Civil y Agrícola, Programa de Investigación en Tránsito y Transporte – PIT, Bogotá, Colombia ; Universidad Nacional de Colombia, Sede Manizales, Facultad de Ingeniería y Arquitectura, Departamento de Ingeniería Civil, Grupo de Investigación en Movilidad Sostenible, Manizales, Colombia</creatorcontrib><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.</description><identifier>ISSN: 2065-1198</identifier><identifier>ISSN: 2065-0817</identifier><identifier>EISSN: 2065-1198</identifier><identifier>DOI: 10.30892/gtg.56401-1315</identifier><language>eng</language><publisher>Oradea: University of Oradea, Department of Geography, Tourism and Territorial Planning</publisher><subject>Algorithms ; Clustering ; Cultural heritage ; Data analysis ; Decision making ; Geographical distribution ; Land use ; Mobility ; Public transportation</subject><ispartof>GeoJournal of tourism and geosites, 2024-12, Vol.56 (4), p.1448-1453</ispartof><rights>2024. 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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.</description><subject>Algorithms</subject><subject>Clustering</subject><subject>Cultural heritage</subject><subject>Data analysis</subject><subject>Decision making</subject><subject>Geographical distribution</subject><subject>Land use</subject><subject>Mobility</subject><subject>Public transportation</subject><issn>2065-1198</issn><issn>2065-0817</issn><issn>2065-1198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkM1PwjAAxRujiQQ5e23i1UE_1q07ljlgyVjJ2h3w0mxdRzAquMHB_94JHkxe8t7h5b3kB8AjRlOKeERmu9NuygIfYQ9TzG7AiKCAeRhH_PZfvgeTvt_XyPdDGrKQj0C9KedZGkNdiFxtZKGFTmUO9aqQ5XI1eALjrFQ6KdJ8CUUusq1KFZQLOC8VVFpu1BTGQiVDLl-2cC3y9FVkiXqGsczkep6KB3DXVu-9m_z5GOhFouOVl8llGovMswEPvJBErHFNFVjfEl5VlFWVI7RFjSOO-pzYmoWtxZgEYTXI2ppbHFlOSOuaFtMxeLrOHrvD19n1J_N2OHefw6Oh2A8ZJogEQ2t2bdnu0Peda82x239U3bfByFxQmgGluaA0vyjpD-MiXxk</recordid><startdate>20241231</startdate><enddate>20241231</enddate><creator>MONTOYA, Jorge Alberto</creator><creator>ESCOBAR, Diego Alexander</creator><creator>MONCADA, Carlos Alberto</creator><general>University of Oradea, Department of Geography, Tourism and Territorial Planning</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20241231</creationdate><title>PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. 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| identifier | ISSN: 2065-1198 |
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| issn | 2065-1198 2065-0817 2065-1198 |
| language | eng |
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| subjects | Algorithms Clustering Cultural heritage Data analysis Decision making Geographical distribution Land use Mobility Public transportation |
| title | PUBLIC TRANSPORTATION THROUGH THE CLUSTERING ANALYSIS OF BUS STOPS. CASE STUDY MANIZALES, COLOMBIA |
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