Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries

Esta investigación se enfoca en encontrar las variables más influyentes en la atracción de viajes de carga de establecimientos comerciales que venden alimentos y se encuentran en áreas urbanas de países en desarrollo, donde el mercado minorista de alimentos es comúnmente dominado por pequeñas tienda...

Full description

Autores:: Gil Marin, Jhan Kevin

Tipo de recurso:

Fecha de publicación:: 2023

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: eng

id	UNACIONAL2_a5d447470de2b0fb7138d83fb6ad2718
oai_identifier_str	oai:repositorio.unal.edu.co:unal/84369
network_acronym_str	UNACIONAL2
network_name_str	Universidad Nacional de Colombia
repository_id_str
dc.title.eng.fl_str_mv	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries
dc.title.translated.spa.fl_str_mv	Análisis cuantitativo de la atracción de viajes de carga debido al sector de comestibles en zonas urbanas de países en desarrollo
title	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries
spellingShingle	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries 620 - Ingeniería y operaciones afines Freight modeling Modelación de carga Generación de viajes de carga Atracción de viajes de carga Supermercados Freight trip generation Supermarkets Nano-stores Freight trip attraction Developing countries Transporte de carga - Métodos de simulación
title_short	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries
title_full	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries
title_fullStr	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries
title_full_unstemmed	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries
title_sort	Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries
dc.creator.fl_str_mv	Gil Marin, Jhan Kevin
dc.contributor.advisor.none.fl_str_mv	Gonzalez Calderon, Carlos Alberto Posada Henao, John Jairo
dc.contributor.author.none.fl_str_mv	Gil Marin, Jhan Kevin
dc.contributor.orcid.spa.fl_str_mv	https://orcid.org/0000-0002-8423-8432 0000-0002-8423-8432
dc.contributor.cvlac.spa.fl_str_mv	Gil-Marin, Jhan Kevin
dc.contributor.googlescholar.spa.fl_str_mv	https://scholar.google.com/citations?user=K9GPK0sAAAAJ&hl=en
dc.subject.ddc.spa.fl_str_mv	620 - Ingeniería y operaciones afines
topic	620 - Ingeniería y operaciones afines Freight modeling Modelación de carga Generación de viajes de carga Atracción de viajes de carga Supermercados Freight trip generation Supermarkets Nano-stores Freight trip attraction Developing countries Transporte de carga - Métodos de simulación
dc.subject.proposal.spa.fl_str_mv	Freight modeling Modelación de carga Generación de viajes de carga Atracción de viajes de carga Supermercados
dc.subject.proposal.eng.fl_str_mv	Freight trip generation Supermarkets Nano-stores Freight trip attraction Developing countries
dc.subject.wikidata.spa.fl_str_mv	Transporte de carga - Métodos de simulación
description	Esta investigación se enfoca en encontrar las variables más influyentes en la atracción de viajes de carga de establecimientos comerciales que venden alimentos y se encuentran en áreas urbanas de países en desarrollo, donde el mercado minorista de alimentos es comúnmente dominado por pequeñas tiendas familiares ubicadas en los barrios, en lugar de supermercados. Este análisis se realizó con datos del Área Metropolitana de Medellín (Colombia) obtenidos de las dos encuestas de carga realizadas en la ciudad (2012 y 2018). Los datos se utilizaron para estimar modelos utilizando la técnica de mínimos cuadrados ordinarios y transformación logarítmica de los datos para obtener un mejor ajuste. El área total del establecimiento y el número equivalente de empleados de tiempo completo fueron las variables más influyentes. Los practicantes se beneficiarán de estos modelos porque podrán incluir la generación de viajes de carga en barrios residenciales y zonas comerciales para planificar mejor el transporte en la ciudad. (Texto tomado de la fuente)
publishDate	2023
dc.date.accessioned.none.fl_str_mv	2023-07-28T20:33:26Z
dc.date.available.none.fl_str_mv	2023-07-28T20:33:26Z
dc.date.issued.none.fl_str_mv	2023
dc.type.spa.fl_str_mv	Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv	Text
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TM
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/84369
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.repo.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/84369 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.references.spa.fl_str_mv	Asuncion, J., Page, S., Murray, R., & Krumdieck, S. (2012). Analysis of the Truck Trip Generation Characteristics of Supermarkets and Convenience Stores. In U. of Canterbury. (Ed.), IPENZ Transportation Group Conference. University of Canterbury. Mathematics and Statistics. http://hdl.handle.net/10092/7792 Blanco, E. E., & Fransoo, J. C. (2013). Reaching 50 million nanostores: retail distribution in emerging megacities. BETA Publicatie : Working Papers, 404(January), 1–19. https://research.tue.nl/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me Blanco, E. E., & Fransoo, J. C. (2017). Supplying nanostores. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 23–38). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2 Cheah, L., Mepparambath, R. M., & Ricart Surribas, G. M. (2021). Freight trips generated at retail malls in dense urban areas. Transportation Research Part A: Policy and Practice, 145(November 2020), 118–131. https://doi.org/10.1016/j.tra.2021.01.015 Fransoo, J. C., & Blanco, E. E. (2017). 50 Million Nanostores. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 10–21). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2 Gonzalez-Calderon, C. A., Moreno-Palacio, D. P., Posada-Henao, J. J., Quintero-Giraldo, R., & Múnera, C. C. (2022). Service trip generation modeling in urban areas. Transportation Research Part E: Logistics and Transportation Review, 160, 102649. https://doi.org/10.1016/j.tre.2022.102649 Gonzalez-Calderon, C. A., Sanchez-Diaz, I., Sarmiento-Ordosgoitia, I., & Holguin-Veras, J. (2018). Characterization and analysis of metropolitan freight patterns in Medellin, Colombia. European Transport Research Review, 10(2), 23. https://doi.org/10.1186/s12544-018-0290-z Gonzalez-Feliu, J., & Sanchez-Diaz, I. (2019). The influence of aggregation level and category construction on estimation quality for freight trip generation models. Transportation Research Part E: Logistics and Transportation Review, 121, 134–148. https://doi.org/10.1016/j.tre.2018.07.007 Google LLC. (2022). Google Maps. https://www.google.com/maps/ Heldt, B., Matteis, T., Frenzel, I., & Blechschmidt, J. (2017). Grocery Stores and Urban Transport-Theoretical and Empirical Approaches to Explain Store Location. Holguin-Veras, J., Jaller, M., Sanchez-Diaz, I., Campbell, S., & Lawson, C. (2014). Freight Generation and Freight Trip Generation Models. In Modelling Freight Transport (pp. 43–63). Elsevier Inc. https://doi.org/10.1016/B978-0-12-410400-6.00003-3 Holguín-Veras, J., Lawson, C., Wang, C., Jaller, M., González-Calderón, C., Campbell, S., Kalahashti, L., Wojtowicz, J., & Ramirez, D. (2016). Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Transportation Research Board. https://doi.org/10.17226/24602 Holguin-Veras, J., Ramirez-Rios, D., Encarnacion, T., Gonzalez-Feliu, J., Caspersen, E., Rivera-Gonzalez, C., Gonzalez-Calderon, C. A., & Da Silva Lima, R. (2019). Metropolitan Economies and the Generation of Freight and Service Activity: An International Perspective. In M. Browne, S. Behrends, J. Woxenius, G. Giuliano, & J. Holguin-Veras (Eds.), Urban Logistics: Management, Policy and Innovation in a Rapidly Changing Environment (pp. 19–51). https://halshs.archives-ouvertes.fr/halshs-03114392 Holguin-Veras, J., Ramirez-Rios, D., Ng, J., Wojtowicz, J., Haake, D., Lawson, C., Calderón, O., Caron, B., & Wang, C. (2021). Freight-Efficient Land Uses: Methodology, Strategies, and Tools. Sustainability, 13(6), 3059. https://doi.org/10.3390/su13063059 Holguin-Veras, J., Ramirez-Rios, D., & Pérez-Guzmán, S. (2021). Time-dependent Patterns in Freight Trip Generation. Transportation Research Part A: Policy and Practice, 148(April), 423–444. https://doi.org/10.1016/j.tra.2021.03.029 Iding, Mirjam., Meester, W. J., & Tavasszy, L. A. (2002). Freight Trip Generation by Firms. 42nd European Congress of the Regional Science Association, 14. http://www.raumplanung.tu-dortmund.de/rwp/ersa2002/cd-rom/papers/453.pdf Kawamura, K., Shin, H., Mcneil, S., & Ogard, L. (2005). Business and Site Specific Trip Generation Methodology for Truck Trips. https://minds.wisconsin.edu/handle/1793/6958 Kin, B., Ambra, T., Verlinde, S., & Macharis, C. (2018). Tackling Fragmented Last Mile Deliveries to Nanostores by Utilizing Spare Transportation Capacity—A Simulation Study. Sustainability, 10(3), 653. https://doi.org/10.3390/su10030653 McCormack, E., Ta, C., Bassok, A., & Fishkin, E. (2010). Truck Trip Generation by Grocery Stores. McKinnon, A. (2006). Life Without Trucks: The Tmpact of a Temporary Disruption of Road Freight Transport on a National Economy. Journal of Business Logistics, 27(2), 227–250. https://doi.org/10.1002/j.2158-1592.2006.tb00224.x Mejía, C. (2022). Christopher Argueta - The Impact of Nano Stores on Underserved Communities - 2 of 5. MIT Corporate Relations. https://www.youtube.com/watch?v=SPBRaJXxSDU Mejía-Argueta, C., Agudelo, I., Hidalgo-Carvajal, D. A., & Soto, M. A. (2017). Colombina: Shifting from on-board to presales in Bogota. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 181–196). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2 Mejía-Argueta, C., Blanco, E. E., Agudelo, I., & Torres, L. A. (2017). Benchmarking of Latin American last-mile operations in the consumer packaged goods industry. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 250–277). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2 Miller, D. M. (1984). Reducing Transformation Bias in Curve Fitting. The American Statistician, 38(2), 124–126. https://doi.org/10.2307/2683247 Newman, M. C. (1993). Regression analysis of log-transformed data: Statistical bias and its correction. Environmental Toxicology and Chemistry, 12(6), 1129–1133. https://doi.org/10.1002/etc.5620120618 Oliveira, L. K. de, Nóbrega, R. A. de A., Ebias, D. G., & Corrêa, B. G. e S. (2017). Analysis of Freight Trip Generation Model for Food and Beverage in Belo Horizonte (Brazil). REGION, 4(1), 17. https://doi.org/10.18335/region.v4i1.102 Ortúzar, J. de D., & Willumsen, L. G. (2011). Modelling Transport (4th ed.). Wiley. https://doi.org/10.1002/9781119993308 Sanchez-Diaz, I. (2020). Assessing the magnitude of freight traffic generated by office deliveries. Transportation Research Part A: Policy and Practice, 142(November 2020), 279–289. https://doi.org/10.1016/j.tra.2020.11.003 Sanchez-Diaz, I., Holguin-Veras, J., & Wang, X. (2016). An Exploratory Analysis of Spatial Effects on Freight Trip Attraction. Transportation, 43(1), 177–196. https://doi.org/10.1007/s11116-014-9570-1 United Nations - Department of Economic and Social Affairs - Statistics Division. (2002). International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3.1. In Statistical Papers. United Nations. https://unstats.un.org/unsd/classifications/Econ/ISIC.cshtml United Nations - Department of Economic and Social Affairs - Statistics Division. (2008). International Standard Industrial Classification of All Economic Activities (ISIC) Revision 4. United Nations. https://unstats.un.org/unsd/classifications/Econ/ISIC.cshtml Universidad Nacional de Colombia, & Area Metropolitana del Valle de Aburrá. (2019). Estudio de transporte de carga en el Area Metropolitana del Valle de Aburra. https://www.metropol.gov.co/movilidad/Documents/Estudio-de-transporte-de-carga-en-el-Area-Metropolitana-del-Valle-de-Aburra.pdf Wilmsmeier, G., Johansson, L., & Jallow, D. (2015). The Complex Urban Freight Puzzle (Issue 340). ECLAC. https://repositorio.cepal.org/handle/11362/38960
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv	Reconocimiento 4.0 Internacional
dc.rights.uri.spa.fl_str_mv	http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv	info:eu-repo/semantics/openAccess
rights_invalid_str_mv	Reconocimiento 4.0 Internacional http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.extent.spa.fl_str_mv	42 páginas
dc.format.mimetype.spa.fl_str_mv	application/pdf
dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Medellín - Minas - Maestría en Ingeniería - Infraestructura y Sistemas de Transporte
dc.publisher.faculty.spa.fl_str_mv	Facultad de Minas
dc.publisher.place.spa.fl_str_mv	Medellín, Colombia
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Medellín
institution	Universidad Nacional de Colombia
bitstream.url.fl_str_mv	https://repositorio.unal.edu.co/bitstream/unal/84369/1/license.txt https://repositorio.unal.edu.co/bitstream/unal/84369/2/1214736703.2023.pdf https://repositorio.unal.edu.co/bitstream/unal/84369/3/1214736703.2023.pdf.jpg
bitstream.checksum.fl_str_mv	eb34b1cf90b7e1103fc9dfd26be24b4a 0f36540f8be553920a81037a803de186 68b0cc9f7a5393642230729a893ec058
bitstream.checksumAlgorithm.fl_str_mv	MD5 MD5 MD5
repository.name.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv	repositorio_nal@unal.edu.co
_version_	1814090192121757696
spelling	Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gonzalez Calderon, Carlos Alberto4d0aba3a21608198d509d053010d0a84600Posada Henao, John Jairo5549b8463c907bc1e6c224c4159518c2600Gil Marin, Jhan Kevinff49d9e72ace3e6a8b1cbdb3c2a61712https://orcid.org/0000-0002-8423-84320000-0002-8423-8432Gil-Marin, Jhan Kevinhttps://scholar.google.com/citations?user=K9GPK0sAAAAJ&hl=en2023-07-28T20:33:26Z2023-07-28T20:33:26Z2023https://repositorio.unal.edu.co/handle/unal/84369Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Esta investigación se enfoca en encontrar las variables más influyentes en la atracción de viajes de carga de establecimientos comerciales que venden alimentos y se encuentran en áreas urbanas de países en desarrollo, donde el mercado minorista de alimentos es comúnmente dominado por pequeñas tiendas familiares ubicadas en los barrios, en lugar de supermercados. Este análisis se realizó con datos del Área Metropolitana de Medellín (Colombia) obtenidos de las dos encuestas de carga realizadas en la ciudad (2012 y 2018). Los datos se utilizaron para estimar modelos utilizando la técnica de mínimos cuadrados ordinarios y transformación logarítmica de los datos para obtener un mejor ajuste. El área total del establecimiento y el número equivalente de empleados de tiempo completo fueron las variables más influyentes. Los practicantes se beneficiarán de estos modelos porque podrán incluir la generación de viajes de carga en barrios residenciales y zonas comerciales para planificar mejor el transporte en la ciudad. (Texto tomado de la fuente)This research focuses on identifying the variables with a significant impact on the freight trip attraction of supermarkets and nano-stores in urban areas of developing countries. Both supermarkets and nano-stores are commercial establishments that sell groceries. However, in developing countries, the grocery retail market is by nano-stores rather than supermarkets, which dominated the grocery retail market in developed countries. Nano-stores are family-owned stores typically located in neighborhoods. This analysis used data from the Medellin Metropolitan Area in Colombia obtained from the two freight surveys conducted in the city (2012 and 2018). Data were used to estimate models using the ordinary least squares technique and logarithmic transformation of the data to obtain a better fit. The total area of the establishment and the equivalent number of full-time employees were the most influential variables. Practitioners will benefit from these models because they could include freight trip attraction in residential neighborhoods and commercial zones to better plan transportation in the city.MaestríaMagister en Ingeniería - Infraestructura y Sistemas de TransporteÁrea Curricular de Ingeniería Civil42 páginasapplication/pdfengUniversidad Nacional de ColombiaMedellín - Minas - Maestría en Ingeniería - Infraestructura y Sistemas de TransporteFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín620 - Ingeniería y operaciones afinesFreight modelingModelación de cargaGeneración de viajes de cargaAtracción de viajes de cargaSupermercadosFreight trip generationSupermarketsNano-storesFreight trip attractionDeveloping countriesTransporte de carga - Métodos de simulaciónQuantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countriesAnálisis cuantitativo de la atracción de viajes de carga debido al sector de comestibles en zonas urbanas de países en desarrolloTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAsuncion, J., Page, S., Murray, R., & Krumdieck, S. (2012). Analysis of the Truck Trip Generation Characteristics of Supermarkets and Convenience Stores. In U. of Canterbury. (Ed.), IPENZ Transportation Group Conference. University of Canterbury. Mathematics and Statistics. http://hdl.handle.net/10092/7792Blanco, E. E., & Fransoo, J. C. (2013). Reaching 50 million nanostores: retail distribution in emerging megacities. BETA Publicatie : Working Papers, 404(January), 1–19. https://research.tue.nl/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-meBlanco, E. E., & Fransoo, J. C. (2017). Supplying nanostores. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 23–38). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2Cheah, L., Mepparambath, R. M., & Ricart Surribas, G. M. (2021). Freight trips generated at retail malls in dense urban areas. Transportation Research Part A: Policy and Practice, 145(November 2020), 118–131. https://doi.org/10.1016/j.tra.2021.01.015Fransoo, J. C., & Blanco, E. E. (2017). 50 Million Nanostores. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 10–21). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2Gonzalez-Calderon, C. A., Moreno-Palacio, D. P., Posada-Henao, J. J., Quintero-Giraldo, R., & Múnera, C. C. (2022). Service trip generation modeling in urban areas. Transportation Research Part E: Logistics and Transportation Review, 160, 102649. https://doi.org/10.1016/j.tre.2022.102649Gonzalez-Calderon, C. A., Sanchez-Diaz, I., Sarmiento-Ordosgoitia, I., & Holguin-Veras, J. (2018). Characterization and analysis of metropolitan freight patterns in Medellin, Colombia. European Transport Research Review, 10(2), 23. https://doi.org/10.1186/s12544-018-0290-zGonzalez-Feliu, J., & Sanchez-Diaz, I. (2019). The influence of aggregation level and category construction on estimation quality for freight trip generation models. Transportation Research Part E: Logistics and Transportation Review, 121, 134–148. https://doi.org/10.1016/j.tre.2018.07.007Google LLC. (2022). Google Maps. https://www.google.com/maps/Heldt, B., Matteis, T., Frenzel, I., & Blechschmidt, J. (2017). Grocery Stores and Urban Transport-Theoretical and Empirical Approaches to Explain Store Location.Holguin-Veras, J., Jaller, M., Sanchez-Diaz, I., Campbell, S., & Lawson, C. (2014). Freight Generation and Freight Trip Generation Models. In Modelling Freight Transport (pp. 43–63). Elsevier Inc. https://doi.org/10.1016/B978-0-12-410400-6.00003-3Holguín-Veras, J., Lawson, C., Wang, C., Jaller, M., González-Calderón, C., Campbell, S., Kalahashti, L., Wojtowicz, J., & Ramirez, D. (2016). Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Transportation Research Board. https://doi.org/10.17226/24602Holguin-Veras, J., Ramirez-Rios, D., Encarnacion, T., Gonzalez-Feliu, J., Caspersen, E., Rivera-Gonzalez, C., Gonzalez-Calderon, C. A., & Da Silva Lima, R. (2019). Metropolitan Economies and the Generation of Freight and Service Activity: An International Perspective. In M. Browne, S. Behrends, J. Woxenius, G. Giuliano, & J. Holguin-Veras (Eds.), Urban Logistics: Management, Policy and Innovation in a Rapidly Changing Environment (pp. 19–51). https://halshs.archives-ouvertes.fr/halshs-03114392Holguin-Veras, J., Ramirez-Rios, D., Ng, J., Wojtowicz, J., Haake, D., Lawson, C., Calderón, O., Caron, B., & Wang, C. (2021). Freight-Efficient Land Uses: Methodology, Strategies, and Tools. Sustainability, 13(6), 3059. https://doi.org/10.3390/su13063059Holguin-Veras, J., Ramirez-Rios, D., & Pérez-Guzmán, S. (2021). Time-dependent Patterns in Freight Trip Generation. Transportation Research Part A: Policy and Practice, 148(April), 423–444. https://doi.org/10.1016/j.tra.2021.03.029Iding, Mirjam., Meester, W. J., & Tavasszy, L. A. (2002). Freight Trip Generation by Firms. 42nd European Congress of the Regional Science Association, 14. http://www.raumplanung.tu-dortmund.de/rwp/ersa2002/cd-rom/papers/453.pdfKawamura, K., Shin, H., Mcneil, S., & Ogard, L. (2005). Business and Site Specific Trip Generation Methodology for Truck Trips. https://minds.wisconsin.edu/handle/1793/6958Kin, B., Ambra, T., Verlinde, S., & Macharis, C. (2018). Tackling Fragmented Last Mile Deliveries to Nanostores by Utilizing Spare Transportation Capacity—A Simulation Study. Sustainability, 10(3), 653. https://doi.org/10.3390/su10030653McCormack, E., Ta, C., Bassok, A., & Fishkin, E. (2010). Truck Trip Generation by Grocery Stores.McKinnon, A. (2006). Life Without Trucks: The Tmpact of a Temporary Disruption of Road Freight Transport on a National Economy. Journal of Business Logistics, 27(2), 227–250. https://doi.org/10.1002/j.2158-1592.2006.tb00224.xMejía, C. (2022). Christopher Argueta - The Impact of Nano Stores on Underserved Communities - 2 of 5. MIT Corporate Relations. https://www.youtube.com/watch?v=SPBRaJXxSDUMejía-Argueta, C., Agudelo, I., Hidalgo-Carvajal, D. A., & Soto, M. A. (2017). Colombina: Shifting from on-board to presales in Bogota. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 181–196). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2Mejía-Argueta, C., Blanco, E. E., Agudelo, I., & Torres, L. A. (2017). Benchmarking of Latin American last-mile operations in the consumer packaged goods industry. In J. C. Fransoo, E. E. Blanco, & C. Mejía-Argueta (Eds.), Reaching 50 Million Nanostores: Retail Distribution in Emerging Megacities (pp. 250–277). CreateSpace Independent Publishing Platform. https://research.tilburguniversity.edu/en/publications/reaching-50-million-nanostores-retail-distribution-in-emerging-me-2Miller, D. M. (1984). Reducing Transformation Bias in Curve Fitting. The American Statistician, 38(2), 124–126. https://doi.org/10.2307/2683247Newman, M. C. (1993). Regression analysis of log-transformed data: Statistical bias and its correction. Environmental Toxicology and Chemistry, 12(6), 1129–1133. https://doi.org/10.1002/etc.5620120618Oliveira, L. K. de, Nóbrega, R. A. de A., Ebias, D. G., & Corrêa, B. G. e S. (2017). Analysis of Freight Trip Generation Model for Food and Beverage in Belo Horizonte (Brazil). REGION, 4(1), 17. https://doi.org/10.18335/region.v4i1.102Ortúzar, J. de D., & Willumsen, L. G. (2011). Modelling Transport (4th ed.). Wiley. https://doi.org/10.1002/9781119993308Sanchez-Diaz, I. (2020). Assessing the magnitude of freight traffic generated by office deliveries. Transportation Research Part A: Policy and Practice, 142(November 2020), 279–289. https://doi.org/10.1016/j.tra.2020.11.003Sanchez-Diaz, I., Holguin-Veras, J., & Wang, X. (2016). An Exploratory Analysis of Spatial Effects on Freight Trip Attraction. Transportation, 43(1), 177–196. https://doi.org/10.1007/s11116-014-9570-1United Nations - Department of Economic and Social Affairs - Statistics Division. (2002). International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3.1. In Statistical Papers. United Nations. https://unstats.un.org/unsd/classifications/Econ/ISIC.cshtmlUnited Nations - Department of Economic and Social Affairs - Statistics Division. (2008). International Standard Industrial Classification of All Economic Activities (ISIC) Revision 4. United Nations. https://unstats.un.org/unsd/classifications/Econ/ISIC.cshtmlUniversidad Nacional de Colombia, & Area Metropolitana del Valle de Aburrá. (2019). Estudio de transporte de carga en el Area Metropolitana del Valle de Aburra. https://www.metropol.gov.co/movilidad/Documents/Estudio-de-transporte-de-carga-en-el-Area-Metropolitana-del-Valle-de-Aburra.pdfWilmsmeier, G., Johansson, L., & Jallow, D. (2015). The Complex Urban Freight Puzzle (Issue 340). ECLAC. https://repositorio.cepal.org/handle/11362/38960BibliotecariosEstudiantesInvestigadoresMaestrosLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/84369/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1214736703.2023.pdf1214736703.2023.pdfTesis de Maestría en Ingeniería - Infraestructura y Sistemas de Transporteapplication/pdf789130https://repositorio.unal.edu.co/bitstream/unal/84369/2/1214736703.2023.pdf0f36540f8be553920a81037a803de186MD52THUMBNAIL1214736703.2023.pdf.jpg1214736703.2023.pdf.jpgGenerated Thumbnailimage/jpeg4975https://repositorio.unal.edu.co/bitstream/unal/84369/3/1214736703.2023.pdf.jpg68b0cc9f7a5393642230729a893ec058MD53unal/84369oai:repositorio.unal.edu.co:unal/843692023-08-14 23:04:24.031Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.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

Quantitative analysis of freight trip attraction due to the groceries sector in urban areas of developing countries

Publicaciones similares