How the street network slope influences fuel consumption in urban freight routing
Although there are many investigations on the problem of vehicle routing, few consider the real slope changes in the road networks of cities. The objective of this work is to calculate the effect that the slopes of a road network can have on fuel consumption, combining a metaheuristic solution algor...
- Autores:
-
Mahecha Nuñez, Javier Yesid
Rojas Millan, Rafael Humberto
Cabello Eras, Juan José
Pinto Garralaga, Oscar
Gatica, Gustavo
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13932
- Acceso en línea:
- https://hdl.handle.net/11323/13932
https://repositorio.cuc.edu.co/
- Palabra clave:
- Urban freight transportation
City logistics
Vehicle routing problem
Eco-efficiency in transportation
Pollution problem
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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How the street network slope influences fuel consumption in urban freight routing |
| title |
How the street network slope influences fuel consumption in urban freight routing |
| spellingShingle |
How the street network slope influences fuel consumption in urban freight routing Urban freight transportation City logistics Vehicle routing problem Eco-efficiency in transportation Pollution problem |
| title_short |
How the street network slope influences fuel consumption in urban freight routing |
| title_full |
How the street network slope influences fuel consumption in urban freight routing |
| title_fullStr |
How the street network slope influences fuel consumption in urban freight routing |
| title_full_unstemmed |
How the street network slope influences fuel consumption in urban freight routing |
| title_sort |
How the street network slope influences fuel consumption in urban freight routing |
| dc.creator.fl_str_mv |
Mahecha Nuñez, Javier Yesid Rojas Millan, Rafael Humberto Cabello Eras, Juan José Pinto Garralaga, Oscar Gatica, Gustavo |
| dc.contributor.author.none.fl_str_mv |
Mahecha Nuñez, Javier Yesid Rojas Millan, Rafael Humberto Cabello Eras, Juan José Pinto Garralaga, Oscar Gatica, Gustavo |
| dc.subject.proposal.eng.fl_str_mv |
Urban freight transportation City logistics Vehicle routing problem Eco-efficiency in transportation Pollution problem |
| topic |
Urban freight transportation City logistics Vehicle routing problem Eco-efficiency in transportation Pollution problem |
| description |
Although there are many investigations on the problem of vehicle routing, few consider the real slope changes in the road networks of cities. The objective of this work is to calculate the effect that the slopes of a road network can have on fuel consumption, combining a metaheuristic solution algorithm, traffic characterization and an algorithm for the calculation of road slopes. The results of the model show that considering the slope in the urban merchandise distribution model can increase the estimates of fuel consumption by 28.67%. |
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2023 |
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2023 |
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2025-01-20T22:11:18Z |
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2025-01-20T22:11:18Z |
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Javier Yesid Mahecha Nuñez, Rafael Humberto Rojas Millan, Juan José Cabello Eras, Oscar Pinto Garralaga, Gustavo Gatica, How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing, Procedia Computer Science, Volume 220, 2023, Pages 909-915, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.03.124 |
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https://hdl.handle.net/11323/13932 |
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10.1016/j.procs.2023.03.124 |
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1877-0509 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Javier Yesid Mahecha Nuñez, Rafael Humberto Rojas Millan, Juan José Cabello Eras, Oscar Pinto Garralaga, Gustavo Gatica, How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing, Procedia Computer Science, Volume 220, 2023, Pages 909-915, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.03.124 10.1016/j.procs.2023.03.124 1877-0509 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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Procedia Computer Science |
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Barth, M., Younglove, T., & Scora, G. (2005). Development of a heavy- duty diesel modal emissions fuel consumption model. Technical Report, UC Berkeley: California Partners for Advanced Transit and Highways (PATH), 55(10). Brunner, C. (2018). Impacto en el consumo de combustible al planificar rutas vehiculares considerando las pendientes del camino. 71. https://repositorio.uc.cl/handle/11534/22198 Dantzig, G. B., & Ramser, J. H. (1959). The Truck Dispatching Problem. Management Science, 6(1), 80–91. https://doi.org/10.1287/mnsc.6.1.80 Deflorio, F., Gonzalez-Feliu, J., Perboli, G., & Tadei, R. (2012). The influence of time windows on the costs of urban freight distribution services in city logistics applications. European Journal of Transport and Infrastructure Research, 12(3), 256–274. https://doi.org/10.18757/ejtir.2012.12.3.2965 Demir, E., Bektaş, T., & Laporte, G. (2011). A comparative analysis of several vehicle emission models for road freight transportation. Transportation Research Part D: Transport and Environment, 16(5). https://doi.org/10.1016/j.trd.2011.01.011 Dündar, H., Soysal, M., Ömürgönülşen, M., & Kanellopoulos, A. (2022). A green dynamic TSP with detailed road gradient dependent fuel consumption estimation. Computers and Industrial Engineering, 168. https://doi.org/10.1016/j.cie.2022.108024 Erdoğan, G. (2017). An open source Spreadsheet Solver for Vehicle Routing Problems. Computers and Operations Research, 84, 62–72. https://doi.org/10.1016/j.cor.2017.02.022 Franceschetti, A. (2015). Sustainable City Logistics: Fleet planning, routing and scheduling problems (Issue 2015). Eindhoven:Technische Universiteit Eindhoven. www.tue.nl/taverne Franceschetti, A., Honhon, D., van Woensel, T., Bektaş, T., & Laporte, G. (2013). The time-dependent pollutionrouting problem. Transportation Research Part B: Methodological, 56. https://doi.org/10.1016/j.trb.2013.08.008 Frey, H. C., Zhang, K., & Rouphail, N. M. (2008). Fuel use and emissions comparisons for alternative routes, time of day, road grade, and vehicles based on in-use measurements. Environmental Science and Technology, 42(7). https://doi.org/10.1021/es702493v Holguín-Veras, J., Amaya Leal, J., Sánchez-Diaz, I., Browne, M., & Wojtowicz, J. (2019). State of the art and practice of urban freight management: Part I: Infrastructure, vehicle-related, and traffic operations. International Journal of Production Research, 57(November 2018), 865–887. https://doi.org/10.1080/00207543.2018.1489153 Holguín-Veras, J., Amaya Leal, J., Sanchez-Diaz, I., Browne, M., & Wojtowicz, J. (2020). State of the art and practice of urban freight management Part II: Financial approaches, logistics, and demand management. Transportation Research Part A: Policy and Practice, 137(November 2018), 383–410. https://doi.org/10.1016/j.tra.2018.10.036 Kickhöfer, B., & Kern, J. (2015). Pricing local emission exposure of road traffic: An agent-based approach. Transportation Research Part D: Transport and Environment, 37, 14–28. https://doi.org/10.1016/j.trd.2015.04.019 Kijewska, K., Iwan, S., & Małecki, K. (2019). Applying multi-criteria analysis of electrically powered vehicles implementation in urban freight transport. Procedia Computer Science, 159, 1558–1567. https://doi.org/10.1016/j.procs.2019.09.326 Lang, Z., Yao, E., Hu, W., & Pan, Z. (2014). A Vehicle Routing Problem Solution Considering Alternative Stop Points. Procedia - Social and Behavioral Sciences, 138(0), 584–591. https://doi.org/10.1016/j.sbspro.2014.07.242 Liu, C., Kou, G., Zhou, X., Peng, Y., Sheng, H., & Alsaadi, F. E. (2020). Time-dependent vehicle routing problem with time windows of city logistics with a congestion avoidance approach. Knowledge-Based Systems, 188. https://doi.org/10.1016/j.knosys.2019.06.021 Liu, S., Xu, J., Shi, X., Li, G., & Liu, D. (2018). Sustainable distribution organization based on the supply-demand coordination in large Chinese cities. Sustainability (Switzerland), 10(9). https://doi.org/10.3390/su10093042 Maternini, G., Ferrari, F., & Guga, A. (2017). Application of variable parking pricing techniques to innovate parking strategies. The case study of Brescia. Case Studies on Transport Policy, 5(2), 425–437. https://doi.org/10.1016/j.cstp.2017.03.010 Russo, F., & Comi, A. (2011). A model system for the ex-ante assessment of city logistics measures. Research in Transportation Economics, 31(1), 81–87. https://doi.org/10.1016/j.retrec.2010.11.011 Russo, F., & Comi, A. (2020). Investigating the effects of city logistics measures on the economy of the city. Sustainability (Switzerland), 12(4), 1–11. https://doi.org/10.3390/su12041439 Schröder, M., & Cabral, P. (2019). Eco-friendly 3D-Routing: A GIS based 3D-Routing-Model to estimate and reduce CO2-emissions of distribution transports. Computers, Environment and Urban Systems, 73. https://doi.org/10.1016/j.compenvurbsys.2018.08.002 Shao, Q. (2020). Dynamic optimization of emergency water resources truck logistics stowage based on joint distribution. Journal of Coastal Research, 104(sp1). https://doi.org/10.2112/JCR-SI104-056.1 TRB. (2010). HCM 2010 : Highway Capacity Manual. (Vol. 1). National Research Council (U.S.) |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2023 The Authors. Published by Elsevier B.V.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Mahecha Nuñez, Javier YesidRojas Millan, Rafael HumbertoCabello Eras, Juan JoséPinto Garralaga, OscarGatica, Gustavo2025-01-20T22:11:18Z2025-01-20T22:11:18Z2023Javier Yesid Mahecha Nuñez, Rafael Humberto Rojas Millan, Juan José Cabello Eras, Oscar Pinto Garralaga, Gustavo Gatica, How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing, Procedia Computer Science, Volume 220, 2023, Pages 909-915, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.03.124https://hdl.handle.net/11323/1393210.1016/j.procs.2023.03.1241877-0509Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Although there are many investigations on the problem of vehicle routing, few consider the real slope changes in the road networks of cities. The objective of this work is to calculate the effect that the slopes of a road network can have on fuel consumption, combining a metaheuristic solution algorithm, traffic characterization and an algorithm for the calculation of road slopes. The results of the model show that considering the slope in the urban merchandise distribution model can increase the estimates of fuel consumption by 28.67%.7 páginasapplication/pdfengElsevier B.V.Netherlandshttps://www.sciencedirect.com/science/article/pii/S1877050923006592?via%3DihubHow the street network slope influences fuel consumption in urban freight routingArtículo de revistahttp://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_970fb48d4fbd8a85Procedia Computer ScienceBarth, M., Younglove, T., & Scora, G. (2005). Development of a heavy- duty diesel modal emissions fuel consumption model. Technical Report, UC Berkeley: California Partners for Advanced Transit and Highways (PATH), 55(10).Brunner, C. (2018). Impacto en el consumo de combustible al planificar rutas vehiculares considerando las pendientes del camino. 71. https://repositorio.uc.cl/handle/11534/22198Dantzig, G. B., & Ramser, J. H. (1959). The Truck Dispatching Problem. Management Science, 6(1), 80–91. https://doi.org/10.1287/mnsc.6.1.80Deflorio, F., Gonzalez-Feliu, J., Perboli, G., & Tadei, R. (2012). The influence of time windows on the costs of urban freight distribution services in city logistics applications. European Journal of Transport and Infrastructure Research, 12(3), 256–274. https://doi.org/10.18757/ejtir.2012.12.3.2965Demir, E., Bektaş, T., & Laporte, G. (2011). A comparative analysis of several vehicle emission models for road freight transportation. Transportation Research Part D: Transport and Environment, 16(5). https://doi.org/10.1016/j.trd.2011.01.011Dündar, H., Soysal, M., Ömürgönülşen, M., & Kanellopoulos, A. (2022). A green dynamic TSP with detailed road gradient dependent fuel consumption estimation. Computers and Industrial Engineering, 168. https://doi.org/10.1016/j.cie.2022.108024Erdoğan, G. (2017). An open source Spreadsheet Solver for Vehicle Routing Problems. Computers and Operations Research, 84, 62–72. https://doi.org/10.1016/j.cor.2017.02.022Franceschetti, A. (2015). Sustainable City Logistics: Fleet planning, routing and scheduling problems (Issue 2015). Eindhoven:Technische Universiteit Eindhoven. www.tue.nl/taverneFranceschetti, A., Honhon, D., van Woensel, T., Bektaş, T., & Laporte, G. (2013). The time-dependent pollutionrouting problem. Transportation Research Part B: Methodological, 56. https://doi.org/10.1016/j.trb.2013.08.008Frey, H. C., Zhang, K., & Rouphail, N. M. (2008). Fuel use and emissions comparisons for alternative routes, time of day, road grade, and vehicles based on in-use measurements. Environmental Science and Technology, 42(7). https://doi.org/10.1021/es702493vHolguín-Veras, J., Amaya Leal, J., Sánchez-Diaz, I., Browne, M., & Wojtowicz, J. (2019). State of the art and practice of urban freight management: Part I: Infrastructure, vehicle-related, and traffic operations. International Journal of Production Research, 57(November 2018), 865–887. https://doi.org/10.1080/00207543.2018.1489153Holguín-Veras, J., Amaya Leal, J., Sanchez-Diaz, I., Browne, M., & Wojtowicz, J. (2020). State of the art and practice of urban freight management Part II: Financial approaches, logistics, and demand management. Transportation Research Part A: Policy and Practice, 137(November 2018), 383–410. https://doi.org/10.1016/j.tra.2018.10.036Kickhöfer, B., & Kern, J. (2015). Pricing local emission exposure of road traffic: An agent-based approach. Transportation Research Part D: Transport and Environment, 37, 14–28. https://doi.org/10.1016/j.trd.2015.04.019Kijewska, K., Iwan, S., & Małecki, K. (2019). Applying multi-criteria analysis of electrically powered vehicles implementation in urban freight transport. Procedia Computer Science, 159, 1558–1567. https://doi.org/10.1016/j.procs.2019.09.326Lang, Z., Yao, E., Hu, W., & Pan, Z. (2014). A Vehicle Routing Problem Solution Considering Alternative Stop Points. Procedia - Social and Behavioral Sciences, 138(0), 584–591. https://doi.org/10.1016/j.sbspro.2014.07.242Liu, C., Kou, G., Zhou, X., Peng, Y., Sheng, H., & Alsaadi, F. E. (2020). Time-dependent vehicle routing problem with time windows of city logistics with a congestion avoidance approach. Knowledge-Based Systems, 188. https://doi.org/10.1016/j.knosys.2019.06.021Liu, S., Xu, J., Shi, X., Li, G., & Liu, D. (2018). Sustainable distribution organization based on the supply-demand coordination in large Chinese cities. Sustainability (Switzerland), 10(9). https://doi.org/10.3390/su10093042Maternini, G., Ferrari, F., & Guga, A. (2017). Application of variable parking pricing techniques to innovate parking strategies. The case study of Brescia. Case Studies on Transport Policy, 5(2), 425–437. https://doi.org/10.1016/j.cstp.2017.03.010Russo, F., & Comi, A. (2011). A model system for the ex-ante assessment of city logistics measures. Research in Transportation Economics, 31(1), 81–87. https://doi.org/10.1016/j.retrec.2010.11.011Russo, F., & Comi, A. (2020). Investigating the effects of city logistics measures on the economy of the city. Sustainability (Switzerland), 12(4), 1–11. https://doi.org/10.3390/su12041439Schröder, M., & Cabral, P. (2019). Eco-friendly 3D-Routing: A GIS based 3D-Routing-Model to estimate and reduce CO2-emissions of distribution transports. Computers, Environment and Urban Systems, 73. https://doi.org/10.1016/j.compenvurbsys.2018.08.002Shao, Q. (2020). Dynamic optimization of emergency water resources truck logistics stowage based on joint distribution. Journal of Coastal Research, 104(sp1). https://doi.org/10.2112/JCR-SI104-056.1TRB. (2010). HCM 2010 : Highway Capacity Manual. (Vol. 1). National Research Council (U.S.)915909220Urban freight transportationCity logisticsVehicle routing problemEco-efficiency in transportationPollution problemPublicationORIGINALHow the Street Network Slope Influences Fuel Consumption in Urban Freight Routing.pdfHow the Street Network Slope Influences Fuel Consumption in Urban Freight Routing.pdfapplication/pdf719353https://repositorio.cuc.edu.co/bitstreams/c6fa20db-9bef-4d32-bb22-d7ebc9e0a710/download992fa0d09d31fe09a2057f62ac213aa4MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.cuc.edu.co/bitstreams/f636d45a-db72-449e-8775-3fd786ba0201/download73a5432e0b76442b22b026844140d683MD52TEXTHow the Street Network Slope Influences Fuel Consumption in Urban Freight Routing.pdf.txtHow the Street Network Slope Influences Fuel Consumption in Urban Freight Routing.pdf.txtExtracted texttext/plain42550https://repositorio.cuc.edu.co/bitstreams/a915422b-cc30-4dc4-ba79-245e3301576a/download0a2ed491b165bedd8df3363e0d6eb95cMD53THUMBNAILHow the Street Network Slope Influences Fuel Consumption in Urban Freight Routing.pdf.jpgHow the Street Network Slope Influences Fuel Consumption in Urban Freight Routing.pdf.jpgGenerated Thumbnailimage/jpeg12361https://repositorio.cuc.edu.co/bitstreams/45c459c1-980a-4109-b389-9e621c6df62e/download8f5adab1efbea693f1ea87c75f12171cMD5411323/13932oai:repositorio.cuc.edu.co:11323/139322025-01-21 04:01:16.885https://creativecommons.org/licenses/by-nc-nd/4.0/© 2023 The Authors. Published by Elsevier B.V.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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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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