Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio
Introducción— Utilizando los principios de movilidad sostenible para el transporte público urbano, en la presente investigación se modela y resuelve un problema de optimización de externalidades negativas del servicio de transporte público como: congestión, cambio climático, contaminación del aire,...
- Autores:
-
Reyes Vasquez, John Paul
ALDAS-SALAZAR, DARWIN SANTIAGO
MAYORGA ABRIL, CÉSAR
RUIZ, MERY
BARAHONA, MAYRA
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
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- oai:repositorio.cuc.edu.co:11323/10260
- Acceso en línea:
- https://hdl.handle.net/11323/10260
https://repositorio.cuc.edu.co/
- Palabra clave:
- Modelos matemáticos
Transporte público
Externalidades
Movilidad sostenible
Optimización
Mathematical models
Public transportation
Externalities
Optimization
Sustainable mobility
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio |
| dc.title.translated.none.fl_str_mv |
Optimization-based analysis of negative externalities of urban public transport service: a case study |
| title |
Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio |
| spellingShingle |
Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio Modelos matemáticos Transporte público Externalidades Movilidad sostenible Optimización Mathematical models Public transportation Externalities Optimization Sustainable mobility |
| title_short |
Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio |
| title_full |
Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio |
| title_fullStr |
Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio |
| title_full_unstemmed |
Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio |
| title_sort |
Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudio |
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Reyes Vasquez, John Paul ALDAS-SALAZAR, DARWIN SANTIAGO MAYORGA ABRIL, CÉSAR RUIZ, MERY BARAHONA, MAYRA |
| dc.contributor.author.none.fl_str_mv |
Reyes Vasquez, John Paul ALDAS-SALAZAR, DARWIN SANTIAGO MAYORGA ABRIL, CÉSAR RUIZ, MERY BARAHONA, MAYRA |
| dc.subject.proposal.spa.fl_str_mv |
Modelos matemáticos Transporte público Externalidades Movilidad sostenible Optimización |
| topic |
Modelos matemáticos Transporte público Externalidades Movilidad sostenible Optimización Mathematical models Public transportation Externalities Optimization Sustainable mobility |
| dc.subject.proposal.eng.fl_str_mv |
Mathematical models Public transportation Externalities Optimization |
| dc.subject.proposal.ita.fl_str_mv |
Sustainable mobility |
| description |
Introducción— Utilizando los principios de movilidad sostenible para el transporte público urbano, en la presente investigación se modela y resuelve un problema de optimización de externalidades negativas del servicio de transporte público como: congestión, cambio climático, contaminación del aire, ruido y accidentes de tránsito, planteando la posibilidad de minimizar los costos sociales variables. Objetivo— Plantear y resolver un modelo de optimización de externalidades negativas en un sistema de transporte de la ciudad de Ambato- Ecuador. Metodología— Para el modelado y solución del programa se toma como base el modelo de Ngamchai y Lovell, programado en el software LINGO, se aplica en el sistema que cuenta con 5 operadoras, 22 líneas y 397 unidades de buses. Resultados— A través de los resultados obtenidos se logra disminuir el costo total para la operación del sistema de transporte de $ 8910.72 a $ 6608.39 por unidad por hora, esto implica una reducción del 25.9% con las consideraciones individuales del headway (separación en tiempo entre vehículos) para cada una de las líneas que lo conforman, se logra disminuir además la flota utilizada actualmente en un 21%. Conclusiones— La investigación deja abierta la posibilidad de plantear futuros estudios que busquen estrategias que permitan mitigar cada una de las externalidades desde una perspectiva técnico-económica de sostenibilidad medioambiental. |
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2021 |
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2021 |
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2023-06-23T22:20:07Z |
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2023-06-23T22:20:07Z |
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Artículo de revista |
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J. Reyes-Vásquez, D. Aldas Salazar, C. Mayorga Abril, M. Ruiz Guajala & M. Barahona Sánchez, “Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: Un caso de estudio”, INGE CUC, vol. 17, no. 2, pp. 1–11, 2021. DOI: http://doi.org/10.17981/ingecuc.17.2.2021.15 |
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10.17981/ingecuc.17.2.2021.15 |
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2382-4700 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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J. Reyes-Vásquez, D. Aldas Salazar, C. Mayorga Abril, M. Ruiz Guajala & M. Barahona Sánchez, “Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: Un caso de estudio”, INGE CUC, vol. 17, no. 2, pp. 1–11, 2021. DOI: http://doi.org/10.17981/ingecuc.17.2.2021.15 0122-6517 10.17981/ingecuc.17.2.2021.15 2382-4700 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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INGE CUC |
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[1] I. Chatziioannou, L. Alvarez-Icaza & E. Bakogiannis, “A structural analysis method for the promotion of Mexico City´s integral plan of mobility,” Cogent Eng, vol. 7, no. 1, pp. 1–21, 2020. https://doi.org/10.1 080/23311916.2020.1759395 [2] C. Regnier & S. Legras, “Urban Structure and Environmental Externalities,” Environ Resour Econ, vol. 70, no. 1, pp. 31–52, 2018. https://doi.org/10.1007/s10640-016-0109-0 [3] S. Perveen, T. Yigitcanlar, M. Kamruzzaman & J. Hayes, “Evaluating transport externalities of urban growth: a critical review of scenario-based planning methods,” Int J Environ Sci.Technol, vol. 14, no. 3, pp. 663–678, 2016. https://doi.org/10.1007/s13762-016-1144-7 [4] D. Aldas, J. Reyes, L. Morales, P. Pazmiño, J. Núñez & B. Toaza.Impacts analysis towards a sustainable urban public transport system. InICORES, pp. 38–46, 2018. https://doi.org/10.5220/0006537700380046 [5] I. Chatziioannou, L. Alvarez-Icaza, E. Bakogiannis, C. Kyriakidis & L. Chias-Becerril, “A CLIOS analysis for the promotion of sustainable plans of mobility: The case of Mexico City,” Appl Sci, vol. 10, no. 13, pp. 1–30, 2020. https://doi.org/10.3390/app10134556 [6] I. Henke, A. Cartenì, C. Molitierno & A. Errico, “Decision-Making in the transport sector: A sustainable evaluation method for road infrastructure,” Sustain, vol. 12, no. 3, pp. 1–19, 2020. https://doi. org/10.3390/su12030764 [7] I. W. H. Parry, M. Walls & W. Harrington, “Automobile Externalities and Policies,” SSRN Electron J, pp. 10–35, 2007. https://doi.org/10.2139/ssrn.927794 [8] I. Chatziioannou, L. Alvarez-Icaza, E. Bakogiannis, C. Kyriakidis & L. Chias-Becerril, “A structural analysis for the categorization of the negative externalities of transport and the hierarchical organization of sustainable mobility’s strategies,” Sustain, vol. 12, no. 15, pp. 1–27, 2020. https://doi. org/10.3390/su12156011 [9] C. Dascalu, C. Caraiani, C. Iuliana Lungu, F. Colceag & G. Raluca Guse, “The externalities in social environmental accounting,” Int J Account Inf Manag, vol. 18, no. 1, pp. 19–30, 2010. https://doi. org/10.1108/18347641011023252 [10] A. Tob-Ogu, N. Kumar, J. Cullen & E. E. F. Ballantyne, “Sustainability Intervention Mechanisms for Managing Road Freight Transport Externalities: A Systematic Literature Review,” Sustain, vol. 10, no. 6, pp. 1–18, 2018. https://doi.org/10.3390/su10061923 [11] A. Tirachini, “Ride-hailing, travel behaviour and sustainable mobility: an international review,” Transportation (Amst), vol. 47, no. 4, pp. 2011–2047, 2020. https://doi.org/10.1007/s11116-019-10070-2 [12] J. P. Bocarejo & L. F. Urrego, “The impacts of formalization and integration of public transport in social equity: The case of Bogota,” Res Transp Bus Manag, pp. 1–11, 2020. https://doi.org/10.1016/j. rtbm.2020.100560 [13] A. Tetteh & S. Dsane-Nsor, “Minimising negative externalities cost using 0-1 mixed integer linear programming model in e-commerce environment,” J Transp Supply Chain Manag, vol. 11, pp. 1–9, 2017. https://doi.org/10.4102/jtscm.v11i0.272 [14] A. Ceder, B. Golany & O. Tal, “Creating bus timetables with maximal synchronization,” Transp Res Part A Policy Pract, vol. 35, no. 10, pp. 913–928, 2001. https://doi.org/10.1016/S0965-8564(00)00032-X [15] A. Virk, “Urbanisation: A Growing Story in Context of Efficient Urban Mob,” RRIJM, 2019. Available: https://rrjournals.com/index.php/rrijm [16] S. McLeod, J. Scheurer & C. Curtis, “Urban Public Transport: Planning Principles and Emerging Practice,” J Plan Lit, vol. 32, no. 3, pp. 223–239, 2017. https://doi.org/10.1177/0885412217693570 [17] N. Ayu & Nahry, “Externalities aspects of freight distribution through the urban consolidation center,” IOP Conf Ser Earth Environ Sci, vol. 622, pp. 12024, 2021. https://doi.org/10.1088/1755- 1315/622/1/012024 [18] R. Peñabaena-Niebles, V. Cantillo & J. Luis Moura, “The positive impacts of designing transition between traffic signal plans considering social cost,” Transp Policy, vol. 87, pp. 67–76, 2020. https://doi. org/10.1016/j.tranpol.2019.05.020 [19] M. H. Baaj & H. S. Mahmassani, “An AI-based approach for transit route system planning and design,” J Adv Transp, vol. 25, no. 2, pp. 187–209, 1991. https://doi.org/10.1002/atr.5670250205 [20] S. Ngamchai & D. J. Lovell, “Optimal Time Transfer in Bus Transit Route Network Design Using a Genetic Algorithm,” J Transp Eng, vol. 129, no. 5, pp. 510–521, 2003. https://doi.org/10.1061/ (ASCE)0733-947X(2003)129:5(510) [21] A. Eranki, “A Model to Create Bus Timetables to Attain Maximum Synchronization Considering Waiting Times at Transfer Stops,” Thesis MSIE, USF, TPA, FL, USA, 2004. Available: https://digitalcommons.usf.edu/etd/1025/ [22] A. Mauttone, M. Urqhhart & H. Cancela, “Optimización de Recorridos y Frecuencias en Sistemas de Transporte Público Urbano Colectivo,” Tesis de Maestría, UDELAR, MV, UY, 2005. Disponible en https://www.colibri.udelar.edu.uy/jspui/handle/20.500.12008/2937 [23] M. Meyer, Estimating travel characteristics and volumes. In: ITE, Transportation Planning Handbook, NJ, USA, Meyer, pp. 35–52, 2016. [24] G. Desaulniers & M. D. Hickman, Public Transit. In: C. Barnhart & G. Laporte, eds., Handbooks in Operations Research and Management Science, vol. 14, Chapt 2, NL, North Holand, pp. 69–127, 2007. https://doi.org/10.1016/S0927-0507(06)14002-5 [25] M. Sinner, U. Weidmann & A. Nash, “Application of a Cost-Allocation Model to Swiss Bus and Train Lines,” Transp Res Rec, vol. 2672, no. 8, pp. 431–442, 2018. https://doi.org/10.1177/0361198118772702 [26] L. Deng, W. Gao, Y. Fu & W. Zhou, “Optimal design of the feeder-bus network based on the transfer system,” Discret Dyn Nat Soc, pp. 1–11, 2013. https://doi.org/10.1155/2013/483682 [27] M. E. Ruiz, C. M. Mayorga, D. S. Aldas & J. P. Reyes, “El costo y la percepción en la sociedad por congestión vehicular causada por el transporte público urbano en la ciudad de Ambato, Ecuador,” Espacios, vol. 40, no. 43, pp. 42, 2019. Disponible en https://www.revistaespacios.com/a19v40n43/19404322. html [28] J. H. E. Taplin & Y. Sun, “Optimizing bus stop locations for walking access: Stops-first design of a feeder route to enhance a residential plan,” Environ Plan. B Urban Anal City Sci, vol. 47, no. 7, pp. 1237–1259, 2020. https://doi.org/10.1177/2399808318824108 [29] P. Shrivastava & M. O’Mahony, “A model for development of optimized feeder routes and coordinated schedules-A genetic algorithms approach,” Transp Policy, vol. 13, no. 5, pp. 413–425, 2006. https://doi. org/10.1016/j.tranpol.2006.03.002 [30] L. Deng, Y. He, N. Zeng & J. Zeng, “Optimal Design of Feeder-Bus Network with Split Delivery,” ASCE, vol. 146, no. 3, 2020. https://doi.org/10.1061/jtepbs.0000305 [31] República del Ecuador. Asamblea Consituyente, Ley Orgánica de Transporte Terrestre , Tránsito y Seguridad Vial. Registro Oficial, Suplemento 398, 7 ago. 2008. Recuperado de https://portovial.gob.ec/ sitio/descargas/leyes/ley-organica-transporte-terrestre-transito-y-seguridad-vial.pdf [32] J. Llamuca, “Estudio tarifario del transporte urbano en buses de la ciudad de Riobamba según el nivel de servicio que prestan las operadoras a los usuarios,” Tesis - Maestría, PUCE, DMQ, EC, 2017. Disponible en http://repositorio.puce.edu.ec/handle/22000/13128 |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)Derechos de autor 2021 INGE CUChttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Reyes Vasquez, John PaulALDAS-SALAZAR, DARWIN SANTIAGOMAYORGA ABRIL, CÉSARRUIZ, MERYBARAHONA, MAYRA2023-06-23T22:20:07Z2023-06-23T22:20:07Z2021J. Reyes-Vásquez, D. Aldas Salazar, C. Mayorga Abril, M. Ruiz Guajala & M. Barahona Sánchez, “Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: Un caso de estudio”, INGE CUC, vol. 17, no. 2, pp. 1–11, 2021. DOI: http://doi.org/10.17981/ingecuc.17.2.2021.150122-6517https://hdl.handle.net/11323/1026010.17981/ingecuc.17.2.2021.152382-4700Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Introducción— Utilizando los principios de movilidad sostenible para el transporte público urbano, en la presente investigación se modela y resuelve un problema de optimización de externalidades negativas del servicio de transporte público como: congestión, cambio climático, contaminación del aire, ruido y accidentes de tránsito, planteando la posibilidad de minimizar los costos sociales variables. Objetivo— Plantear y resolver un modelo de optimización de externalidades negativas en un sistema de transporte de la ciudad de Ambato- Ecuador. Metodología— Para el modelado y solución del programa se toma como base el modelo de Ngamchai y Lovell, programado en el software LINGO, se aplica en el sistema que cuenta con 5 operadoras, 22 líneas y 397 unidades de buses. Resultados— A través de los resultados obtenidos se logra disminuir el costo total para la operación del sistema de transporte de $ 8910.72 a $ 6608.39 por unidad por hora, esto implica una reducción del 25.9% con las consideraciones individuales del headway (separación en tiempo entre vehículos) para cada una de las líneas que lo conforman, se logra disminuir además la flota utilizada actualmente en un 21%. Conclusiones— La investigación deja abierta la posibilidad de plantear futuros estudios que busquen estrategias que permitan mitigar cada una de las externalidades desde una perspectiva técnico-económica de sostenibilidad medioambiental.Introduction— Using the principles of sustainable mobility for urban public transport, this research models and solves a problem of optimization of negative externalities of the public transport service such as congestion, climate change, air pollution, noise and traffic accidents, raising the possibility of minimizing the variable social costs. Objective— The study was carried out in Ecuador, in the transportation system of the city of Ambato, which has 5 operators, 22 lines and 397 bus units. Methodology— The Ngamchai and Lovell model, programmed in LINGO software, is used as the basis for the modeling and solution of the program. Results— Through the results obtained, the total cost for the operation of the transportation system was reduced from $ 8910.72 to $ 6608.39 per unit per hour, which implies a reduction of 25.9% with the individual considerations of the headway (separation in time between vehicles) for each of the lines that comprise it, and the fleet currently used is also reduced by 21%. Conclusions— The research leaves open the possibility of proposing future studies that seek strategies to mitigate each of the externalities from a technicaleconomic perspective of environmental sustainability.16 páginasapplication/pdfspaCorporación Universidad de la CostaColombiahttps://revistascientificas.cuc.edu.co/ingecuc/article/view/3553Análisis basado en optimización de externalidades negativas del servicio de transporte público urbano: un caso de estudioOptimization-based analysis of negative externalities of urban public transport service: a case studyArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85INGE CUC[1] I. Chatziioannou, L. Alvarez-Icaza & E. Bakogiannis, “A structural analysis method for the promotion of Mexico City´s integral plan of mobility,” Cogent Eng, vol. 7, no. 1, pp. 1–21, 2020. https://doi.org/10.1 080/23311916.2020.1759395[2] C. Regnier & S. Legras, “Urban Structure and Environmental Externalities,” Environ Resour Econ, vol. 70, no. 1, pp. 31–52, 2018. https://doi.org/10.1007/s10640-016-0109-0[3] S. Perveen, T. Yigitcanlar, M. Kamruzzaman & J. Hayes, “Evaluating transport externalities of urban growth: a critical review of scenario-based planning methods,” Int J Environ Sci.Technol, vol. 14, no. 3, pp. 663–678, 2016. https://doi.org/10.1007/s13762-016-1144-7[4] D. Aldas, J. Reyes, L. Morales, P. Pazmiño, J. Núñez & B. Toaza.Impacts analysis towards a sustainable urban public transport system. InICORES, pp. 38–46, 2018. https://doi.org/10.5220/0006537700380046[5] I. Chatziioannou, L. Alvarez-Icaza, E. Bakogiannis, C. Kyriakidis & L. Chias-Becerril, “A CLIOS analysis for the promotion of sustainable plans of mobility: The case of Mexico City,” Appl Sci, vol. 10, no. 13, pp. 1–30, 2020. https://doi.org/10.3390/app10134556[6] I. Henke, A. Cartenì, C. Molitierno & A. Errico, “Decision-Making in the transport sector: A sustainable evaluation method for road infrastructure,” Sustain, vol. 12, no. 3, pp. 1–19, 2020. https://doi. org/10.3390/su12030764[7] I. W. H. Parry, M. Walls & W. Harrington, “Automobile Externalities and Policies,” SSRN Electron J, pp. 10–35, 2007. https://doi.org/10.2139/ssrn.927794[8] I. Chatziioannou, L. Alvarez-Icaza, E. Bakogiannis, C. Kyriakidis & L. Chias-Becerril, “A structural analysis for the categorization of the negative externalities of transport and the hierarchical organization of sustainable mobility’s strategies,” Sustain, vol. 12, no. 15, pp. 1–27, 2020. https://doi. org/10.3390/su12156011[9] C. Dascalu, C. Caraiani, C. Iuliana Lungu, F. Colceag & G. 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transporte público urbano.pdf.txtExtracted texttext/plain56938https://repositorio.cuc.edu.co/bitstreams/fcbf0a8e-db78-4dbe-949f-9d03020ad5dc/downloadd5faf8b67221c5d89924c5416dd118bfMD53THUMBNAILAnálisis basado en optimización de externalidades negativas del servicio de transporte público urbano.pdf.jpgAnálisis basado en optimización de externalidades negativas del servicio de transporte público urbano.pdf.jpgGenerated Thumbnailimage/jpeg13004https://repositorio.cuc.edu.co/bitstreams/8ca67109-02fb-494b-9437-2fe8d7a288c6/downloada84f2fb60fe76783ffed9f69214a35f2MD5411323/10260oai:repositorio.cuc.edu.co:11323/102602024-09-17 11:04:37.097https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos de autor 2021 INGE CUCopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ada en las Obras Colectivas.

b.	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.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
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).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	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).

b.	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.

c.	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.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	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.

ii.	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.

e.	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.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
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.

6. Limitación de responsabilidad.
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.

7. Término.

a.	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.

b.	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.

8. Varios.

a.	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.

b.	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.

c.	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.

d.	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.
 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