Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia
El transporte constituye un pilar esencial para la conectividad y el desarrollo de comunidades rurales en Valledupar, una región marcada por desafíos estructurales que afectan la eficiencia, accesibilidad y seguridad de su sistema vial. A pesar de ser considerada un modelo en planeación urbana y en...
- Autores:
-
Valdeblanquez Cañas, Salvador Rafael
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
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- spa
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- oai:repositorio.cuc.edu.co:11323/13867
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- https://hdl.handle.net/11323/13867
https://repositorio.cuc.edu.co/
- Palabra clave:
- Sistema integrado
Modelos de elección discreta
Probabilidad de elección
Confiabilidad
Integrated system
Discrete choice models
Choice probability
Reliability
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- openAccess
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- Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
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Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia |
| title |
Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia |
| spellingShingle |
Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia Sistema integrado Modelos de elección discreta Probabilidad de elección Confiabilidad Integrated system Discrete choice models Choice probability Reliability |
| title_short |
Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia |
| title_full |
Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia |
| title_fullStr |
Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia |
| title_full_unstemmed |
Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia |
| title_sort |
Evaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, Colombia |
| dc.creator.fl_str_mv |
Valdeblanquez Cañas, Salvador Rafael |
| dc.contributor.advisor.none.fl_str_mv |
Villa Dominguez,Jennifer Figueroa Loaiza, Miguel |
| dc.contributor.author.none.fl_str_mv |
Valdeblanquez Cañas, Salvador Rafael |
| dc.contributor.jury.none.fl_str_mv |
Fernandez, Stephanie Martinez, Andrea Mora Lerma, Otto |
| dc.subject.proposal.spa.fl_str_mv |
Sistema integrado Modelos de elección discreta Probabilidad de elección Confiabilidad |
| topic |
Sistema integrado Modelos de elección discreta Probabilidad de elección Confiabilidad Integrated system Discrete choice models Choice probability Reliability |
| dc.subject.proposal.eng.fl_str_mv |
Integrated system Discrete choice models Choice probability Reliability |
| description |
El transporte constituye un pilar esencial para la conectividad y el desarrollo de comunidades rurales en Valledupar, una región marcada por desafíos estructurales que afectan la eficiencia, accesibilidad y seguridad de su sistema vial. A pesar de ser considerada un modelo en planeación urbana y en la implementación de un sistema estratégico de transporte público (SETP) a nivel nacional, el municipio enfrenta serios problemas en su infraestructura vial, especialmente en las zonas rurales, lo que perpetúa la desigualdad entre los sectores urbanos y rurales. Esta investigación analiza los factores determinantes en la elección modal de los habitantes de zonas rurales ante la implementación del Sistema Integrado de Transporte Público de Valledupar (SIVA), específicamente en los corregimientos de Patillal, Rio Seco y La Vega, donde actualmente no existe cobertura. El objetivo principal fue estimar la aceptación del nuevo sistema de transporte público colectivo, considerando variables clave de los usuarios. Se emplearon modelos de elección discreta basados en datos de preferencias declaradas en donde se evaluaron atributos como el costo del pasaje, tiempo de viaje, tiempo de espera, tiempo de acceso (caminata), confiabilidad del servicio y frecuencia. Los resultados indican que estas variables tienen gran incidencia en la elección de viaje de las personas y que la confiabilidad es la variable más importante para garantizar la utilización de un nuevo servicio en los corregimientos |
| publishDate |
2024 |
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2024-12-02T22:21:26Z |
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2024-12-02T22:21:26Z |
| dc.date.issued.none.fl_str_mv |
2024 |
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Trabajo de grado - Pregrado |
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http://purl.org/coar/resource_type/c_7a1f |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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spa |
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spa |
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Székely,V & Novotný, J (2022). Public transport-disadvantaged rural areas in relation to daily accessibility of regional centre: Case study from Slovakia, Journal of Rural Studies, Volume 92, 2022, Pages 1-16, ISSN 0743-0167, https://doi.org/10.1016/j.jrurstud.2022.03.015. Marko Šoštarić,M., Ševrović, M., Jakovljević, M., Švajda, M. (2022), Sustainability of public transport in rural areas - Case study city of Jastrebarsko, Transportation Research Procedia, Volume 64, 2022, Pages 372-377, ISSN 2352-1465. https://doi.org/10.1016/j.trpro.2022.09.044. Shang, X., Yang, K., Wang, H., & Zhao, M. (2021). Distributionally robust cluster-based hierarchical hub location problem for the integration of urban and rural public transport system. Computers & Industrial Engineering, 155, 107181. https://doi.org/10.1016/j.cie.2021.107181. Hansson, J., Pettersson, F., Svensson, H., & Wretstrand, A. (2021). Replacing regional bus services with rail: Changes in rural public transport patronage in and around villages. Transport Policy, 101, 89–99. https://doi.org/10.1016/j.tranpol.2020.12.002. Zhao, Y., & Zhao, P. (2021). The factors in residents' mobility in rural towns of China: Car ownership, road infrastructure and public transport services. Journal of Transport Geography, 9, 1-12. https://doi.org/10.1016/j.jtrangeo.2021.09.001 Petersen, T. (2016). Watching the Swiss: A network approach to rural and exurban public transport. Transport Policy, 52, 175-185. https://doi.org/10.1016/j.tranpol.2016.06.008. Truden, C., Kollingbaum, M. J., Reiter, C., & Schasché, S. E. (2022). A GIS-based analysis of reachability aspects in rural public transportation. Case Studies on Transport Policy, 10(3), 1827-1840. https://doi.org/10.1016/j.cstp.2022.07.012. Hough, Jill & Rahim Taleqani, Ali. 2018. Future of Rural Transit. Journal of Public Transportation, 21 (1): 31-42. DOI: http://doi.org/10.5038/2375-0901.21.1.4. Imhof, S., Frölicher, J., & von Arx, W. (2020). Shared Autonomous Vehicles in rural public transportation systems. Research in Transportation Economics, 83, 100925. https://doi.org/10.5281/zenodo.4309341. Desai, R. H., Hollingsworth, H., Stark, S., Putnam, M., Eyler, A., Wehmeier, A., & Morgan, K. (2023). Social participation of adults aging with long-term physical disabilities: A cross-sectional study investigating the role of transportation mode and urban vs rural living. Disability and Health Journal, 16(3), https://doi.org/10.1016/j.dhjo.2023.101503. Porru, S., Misso, F. E., Pani, F. E., & Repetto, C. (2020). Smart mobility and public transport: Opportunities and challenges in rural and urban areas. Journal of Traffic and Transportation Engineering (English Edition), 7(1), 88-97. https://doi.org/10.1016/j.jtte.2019.10.002 Papangelis, K., Velaga, N. R., Ashmore, F., Sripada, S., Nelson, J. D., & Beecroft, M. (2016). Exploring the rural passenger experience, information needs and decision making during public transport disruption. Research in Transportation Business & Management, 18, 57-69. https://doi.org/10.1016/j.rtbm.2016.01.002. Šipuš, D., & Abramović, B. (2017). The possibility of using public transport in rural areas. Procedia Engineering, 192, 788-793. https://doi.org/10.1016/j.proeng.2017.06.136. Coutinho, F. M., van Oort, N., Christoforou, Z., Alonso González, M. J., Cats, O., & Hoogendoorn, S. P. (2020). Impacts of replacing a fixed public transport line by a demand responsive transport system: Case study of a rural area in Amsterdam. Research in Transportation Economics, 83, 100910. https://doi.org/10.1016/j.retrec.2020.100910. López-Iglesias, E., Peón, D., & Rodríguez-Álvarez, J. (2018). Mobility innovations for sustainability and cohesion of rural areas: A transport model and public investment analysis for Valdeorras (Galicia, Spain). Journal of Cleaner Production, 172, 3871-3883. https://doi.org/10.1016/j.jclepro.2017.05.149. Michalka, L., & Siláči, I. (2017). The transformation of transport and public spaces of the selected rural settlement. Procedia Engineering, 192, 1109-1114. https://doi.org/10.1016/j.proeng.2017.06.102. Loyola, M., Nelson, J. D., Clifton, G., & Ho, C. Q. (2023). Factors influencing the patronage of flexible transport in urban and rural areas: A case study in NSW, Australia. Research in Transportation Economics, 99, 1-6. https://doi.org/10.1016/j.retrec.2023.101295. Fujisaki, K., Ishida, H., & others. (2022). Empirical recommendations based on case studies in Japan for sustainable innovative mobility in rural areas. Asian Transport Studies, 8(1), 100079. https://doi.org/10.1016/j.eastsj.2022.100079. Sieber, L., Ruch, C., Hörl, S., Axhausen, K. W., & Frazzoli, E. (2020). Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines. Transportation Research Part A: Policy and Practice, 134, 35-51. https://doi.org/10.1016/j.tra.2020.01.020 Knierim, L., & Schlüter, J. C. (2021). The attitude of potentially less mobile people towards demand responsive transport in a rural area in central Germany. Journal of Transport Geography, 96, 103202. https://doi.org/10.1016/j.jtrangeo.2021.103202. McIlroy, R. C. (2023). “This is where public transport falls down”: Place-based perspectives of multimodal travel. Transportation Research Part F: Traffic Psychology and Behaviour, 98, 29-46. https://doi.org/10.1016/j.trf.2023.08.006. Imhof, S., & Blättler, K. (2023). Assessing spatial characteristics to predict DRT demand in rural Switzerland. Research in Transportation Economics, 99, 101301. https://doi.org/10.1016/j.retrec.2023.101301. Carroll, P., Benevenuto, R., & Caulfield, B. (2021). Identifying hotspots of transport disadvantage and car dependency in rural Ireland. Transport Policy, 101, 46–56. https://doi.org/10.1016/j.tranpol.2021.06.012 Afukaar, F., Damsere-Derry, J., Peters, K., & Starkey, P. (2019). Rural Transport Services Indicators: Using a new mixed-methods methodology to inform policy in Ghana. Transportation Research Interdisciplinary Perspectives, 3, 100074. https://doi.org/10.1016/j.trip.2019.100074 Nascimento, M. V. L. d. A., & Andrade, M. O. d. (2020). Informal rural transport in a typical minor municipality in northeastern Brazil: Evaluation and regulation proposals. Case Studies on Transport Policy, 8(3), 878–886. https://doi.org/10.1016/j.cstp.2020.05.014. Kuklina, M., Filippova, V., Krasnoshtanova, N., Bogdanov, V., Fedorova, A., Kobylkin, D., Trufanov, A., & Dashdorj, Z. (2022). Transport infrastructure for the sustainable development of rural territories in Siberia. Sustainability, 14(10), 6253. https://doi.org/10.3390/su14106253 Hensher, D., & Bradley, M. (1993). Using stated response data to enrich revealed preference discrete choice models. Marketing Letters, 39–152. McFadden, D., & Train, K. (2000). MIXED MNL MODELS FOR DISCRETE RESPONSE. JOURNAL OF APPLIED ECONOMETRICS, 447-470. Ortúzar, J. D., & Garrido, R. A. (2000). ‘Rank, rate or choice?: an evaluation of SP methods in Santiago’, in Perspectives 4 and Ltd, P. E. and R. S. (eds). Stated Preference Modelling Techniques., 53-72. Ortuzar, J. d., & Willumsen, L. (2011). Modelling Transport (Fourth ed.). Santiago, Chile: Wiley. Ortúzar, J. d., Roncagliolo, D., & Velarde, U. (2000). Interactions and independence in stated preference modelling. In: Orttizar, J. de D. (Ed.), Stated Preference Modelling Techniques. Perspectives 4, PTRC, London. Train, K. E. (2009). Discrete Choice Methods With Simulation (Second Edition ed.). United States of America: University of California, Berkeley and NERA. |
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Colombia |
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Valledupar |
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Civil y Ambiental |
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Barranquilla, Colombia |
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Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Villa Dominguez,JenniferFigueroa Loaiza, MiguelValdeblanquez Cañas, Salvador RafaelFernandez, StephanieMartinez, AndreaMora Lerma, Otto2024-12-02T22:21:26Z2024-12-02T22:21:26Z2024https://hdl.handle.net/11323/13867Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/El transporte constituye un pilar esencial para la conectividad y el desarrollo de comunidades rurales en Valledupar, una región marcada por desafíos estructurales que afectan la eficiencia, accesibilidad y seguridad de su sistema vial. A pesar de ser considerada un modelo en planeación urbana y en la implementación de un sistema estratégico de transporte público (SETP) a nivel nacional, el municipio enfrenta serios problemas en su infraestructura vial, especialmente en las zonas rurales, lo que perpetúa la desigualdad entre los sectores urbanos y rurales. Esta investigación analiza los factores determinantes en la elección modal de los habitantes de zonas rurales ante la implementación del Sistema Integrado de Transporte Público de Valledupar (SIVA), específicamente en los corregimientos de Patillal, Rio Seco y La Vega, donde actualmente no existe cobertura. El objetivo principal fue estimar la aceptación del nuevo sistema de transporte público colectivo, considerando variables clave de los usuarios. Se emplearon modelos de elección discreta basados en datos de preferencias declaradas en donde se evaluaron atributos como el costo del pasaje, tiempo de viaje, tiempo de espera, tiempo de acceso (caminata), confiabilidad del servicio y frecuencia. Los resultados indican que estas variables tienen gran incidencia en la elección de viaje de las personas y que la confiabilidad es la variable más importante para garantizar la utilización de un nuevo servicio en los corregimientosTransportation is an essential pillar for connectivity and development in rural communities of Valledupar, a region marked by structural challenges that impact the efficiency, accessibility, and safety of its road system. Despite being considered a model in urban planning and the implementation of a strategic public transportation system (SETP) at the national level, the municipality faces serious issues with its road infrastructure, particularly in rural areas, which perpetuates inequality between urban and rural sectors. This research analyzes the key factors influencing modal choice among rural inhabitants regarding the implementation of the Integrated Public Transportation System of Valledupar (SIVA), specifically in the rural districts of Patillal, Rio Seco, and La Vega, where coverage does not currently exist. The primary objective was to estimate the acceptance of the new public transportation system, taking into account key user variables. Discrete choice models based on stated preference data were employed, evaluating attributes such as fare cost, travel time, waiting time, access time (walking), service reliability, and frequency. The results indicate that these variables significantly influence people’s travel choices and that reliability is the most important variable for ensuring the use of a new service in these rural districts.Lista de tablas 5--Introducción 9--Justificación 11--Objetivos 15--General 15--Específicos 15--Estado del arte 16--Marco teórico 23--Metodologia 27-- Resultados 30-- Conclusiones 34--Estudios futuros 36--Limitaciones 38--Referencias 39Ingeniero(a) CivilPregrado75 páginasapplication/pdfspaCorporacion Universidad de la CostaCivil y AmbientalBarranquilla, ColombiaIngeniería CivilEvaluación de impacto de oferta de transporte publico colectivo en zonas rurales de Colombia a través de modelos de elección discreta. Caso de estudio: Valledupar, ColombiaTrabajo de grado - Pregradohttp://purl.org/coar/resource_type/c_7a1fTextinfo:eu-repo/semantics/bachelorThesishttp://purl.org/redcol/resource_type/TPinfo:eu-repo/semantics/acceptedVersionColombiaValleduparSzékely,V & Novotný, J (2022). Public transport-disadvantaged rural areas in relation to daily accessibility of regional centre: Case study from Slovakia, Journal of Rural Studies, Volume 92, 2022, Pages 1-16, ISSN 0743-0167, https://doi.org/10.1016/j.jrurstud.2022.03.015.Marko Šoštarić,M., Ševrović, M., Jakovljević, M., Švajda, M. (2022), Sustainability of public transport in rural areas - Case study city of Jastrebarsko, Transportation Research Procedia, Volume 64, 2022, Pages 372-377, ISSN 2352-1465. https://doi.org/10.1016/j.trpro.2022.09.044.Shang, X., Yang, K., Wang, H., & Zhao, M. (2021). Distributionally robust cluster-based hierarchical hub location problem for the integration of urban and rural public transport system. Computers & Industrial Engineering, 155, 107181. https://doi.org/10.1016/j.cie.2021.107181.Hansson, J., Pettersson, F., Svensson, H., & Wretstrand, A. (2021). Replacing regional bus services with rail: Changes in rural public transport patronage in and around villages. Transport Policy, 101, 89–99. https://doi.org/10.1016/j.tranpol.2020.12.002.Zhao, Y., & Zhao, P. (2021). The factors in residents' mobility in rural towns of China: Car ownership, road infrastructure and public transport services. Journal of Transport Geography, 9, 1-12. https://doi.org/10.1016/j.jtrangeo.2021.09.001Petersen, T. (2016). Watching the Swiss: A network approach to rural and exurban public transport. Transport Policy, 52, 175-185. https://doi.org/10.1016/j.tranpol.2016.06.008.Truden, C., Kollingbaum, M. J., Reiter, C., & Schasché, S. E. (2022). A GIS-based analysis of reachability aspects in rural public transportation. Case Studies on Transport Policy, 10(3), 1827-1840. https://doi.org/10.1016/j.cstp.2022.07.012.Hough, Jill & Rahim Taleqani, Ali. 2018. Future of Rural Transit. Journal of Public Transportation, 21 (1): 31-42. DOI: http://doi.org/10.5038/2375-0901.21.1.4.Imhof, S., Frölicher, J., & von Arx, W. (2020). Shared Autonomous Vehicles in rural public transportation systems. Research in Transportation Economics, 83, 100925. https://doi.org/10.5281/zenodo.4309341.Desai, R. H., Hollingsworth, H., Stark, S., Putnam, M., Eyler, A., Wehmeier, A., & Morgan, K. (2023). Social participation of adults aging with long-term physical disabilities: A cross-sectional study investigating the role of transportation mode and urban vs rural living. Disability and Health Journal, 16(3), https://doi.org/10.1016/j.dhjo.2023.101503.Porru, S., Misso, F. E., Pani, F. E., & Repetto, C. (2020). Smart mobility and public transport: Opportunities and challenges in rural and urban areas. Journal of Traffic andTransportation Engineering (English Edition), 7(1), 88-97. https://doi.org/10.1016/j.jtte.2019.10.002Papangelis, K., Velaga, N. R., Ashmore, F., Sripada, S., Nelson, J. D., & Beecroft, M. (2016). Exploring the rural passenger experience, information needs and decision making during public transport disruption. Research in Transportation Business & Management, 18, 57-69. https://doi.org/10.1016/j.rtbm.2016.01.002.Šipuš, D., & Abramović, B. (2017). The possibility of using public transport in rural areas. Procedia Engineering, 192, 788-793. https://doi.org/10.1016/j.proeng.2017.06.136.Coutinho, F. M., van Oort, N., Christoforou, Z., Alonso González, M. J., Cats, O., & Hoogendoorn, S. P. (2020). Impacts of replacing a fixed public transport line by a demand responsive transport system: Case study of a rural area in Amsterdam. Research in Transportation Economics, 83, 100910. https://doi.org/10.1016/j.retrec.2020.100910.López-Iglesias, E., Peón, D., & Rodríguez-Álvarez, J. (2018). Mobility innovations for sustainability and cohesion of rural areas: A transport model and public investment analysis for Valdeorras (Galicia, Spain). Journal of Cleaner Production, 172, 3871-3883. https://doi.org/10.1016/j.jclepro.2017.05.149.Michalka, L., & Siláči, I. (2017). 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).</li>
      <li>Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.</li>
      <li>Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.</li>
          <li>Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
        </ol>
      </li>
      <li>Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.</li>
      <li>Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.</li>
      <li>Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.</li>
      <li>Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.</li>
      <li>Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.</li>
    </ol>
  </li>
  <br/>
</ol>
 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