A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City

Andres Felipe Giraldo-Forero; Sebastian Garcia-Lopez; Paula Andrea Rodriguez-Marin; Juan Martinez; Yohan Ricardo Céspedes-Villar; Oscar Cardona; Juan Camilo Acosta; Luis Carlos Trujillo

doi:10.1007/978-3-030-33904-3_48

A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City

Andres Felipe Giraldo-Forero
, Sebastian Garcia-Lopez
, Paula Andrea Rodriguez-Marin
, Juan Martinez
, Yohan Ricardo Céspedes-Villar
, Oscar Cardona
, Juan Camilo Acosta
, Luis Carlos Trujillo

Departamento de Ingeniería Electrónica

Centro de Bioinformática y Biología Computacional de Colombia—BIOS
Instituto Tecnológico Metropolitano
Centro de Excelencia y Apropiación en Internet de las Cosas (CEA-IoT)

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

The analysis of urban dynamics has taken on a fundamental role in recent years, even more so considering the accelerated population growth of cities throughout the world. Within this dynamic, one of the most important tasks is urban planning, being able for example to give solution to important problems such as the flow of transport for the improvement of citizen welfare. The following study will present a spatiotemporal analysis of demand flow in taxi service requests in the city of Manizales - Colombia during the year 2016. The study carries out three types of analysis: a spatial analysis that exposes the behavior of requests for taxis throughout the communes of the city, then a temporal analysis is conducted to show the hours of greatest demand and finally the spatiotemporal analysis that gives a general forecast regarding the behavior of taxi requests comprising the second quarter of 2016.

Idioma original	Inglés
Título de la publicación alojada	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings
Editores	Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez
Editorial	Springer
Páginas	514-524
Número de páginas	11
ISBN (versión impresa)	9783030339036
DOI	https://doi.org/10.1007/978-3-030-33904-3_48
Estado	Publicada - 2019
Evento	24th Iberoamerican Congress on Pattern Recognition, CIARP 2019 - Havana, Cuba Duración: 28 oct 2019 → 31 oct 2019

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	11896 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	24th Iberoamerican Congress on Pattern Recognition, CIARP 2019
País/Territorio	Cuba
Ciudad	Havana
Período	28/10/19 → 31/10/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 11: Ciudades y comunidades sostenibles

Acceder al documento

10.1007/978-3-030-33904-3_48

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Enlace a la publicación en Scopus

Citar esto

Giraldo-Forero, A. F., Garcia-Lopez, S., Rodriguez-Marin, P. A., Martinez, J., Céspedes-Villar, Y. R., Cardona, O., Acosta, J. C., & Trujillo, L. C. (2019). A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City. En I. Nyström, Y. Hernández Heredia, & V. Milián Núñez (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings (pp. 514-524). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11896 LNCS). Springer. https://doi.org/10.1007/978-3-030-33904-3_48

Giraldo-Forero, Andres Felipe ; Garcia-Lopez, Sebastian ; Rodriguez-Marin, Paula Andrea et al. / A Spatiotemporal Analysis of Taxis Demand : A Case Study in the Manizales City. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings. editor / Ingela Nyström ; Yanio Hernández Heredia ; Vladimir Milián Núñez. Springer, 2019. pp. 514-524 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City",

abstract = "The analysis of urban dynamics has taken on a fundamental role in recent years, even more so considering the accelerated population growth of cities throughout the world. Within this dynamic, one of the most important tasks is urban planning, being able for example to give solution to important problems such as the flow of transport for the improvement of citizen welfare. The following study will present a spatiotemporal analysis of demand flow in taxi service requests in the city of Manizales - Colombia during the year 2016. The study carries out three types of analysis: a spatial analysis that exposes the behavior of requests for taxis throughout the communes of the city, then a temporal analysis is conducted to show the hours of greatest demand and finally the spatiotemporal analysis that gives a general forecast regarding the behavior of taxi requests comprising the second quarter of 2016.",

keywords = "Forecasting, Operational dynamics, Smart cities, Time series",

author = "Giraldo-Forero, \{Andres Felipe\} and Sebastian Garcia-Lopez and Rodriguez-Marin, \{Paula Andrea\} and Juan Martinez and C{\'e}spedes-Villar, \{Yohan Ricardo\} and Oscar Cardona and Acosta, \{Juan Camilo\} and Trujillo, \{Luis Carlos\}",

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year = "2019",

doi = "10.1007/978-3-030-33904-3\_48",

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Giraldo-Forero, AF, Garcia-Lopez, S, Rodriguez-Marin, PA, Martinez, J, Céspedes-Villar, YR, Cardona, O, Acosta, JC & Trujillo, LC 2019, A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City. En I Nyström, Y Hernández Heredia & V Milián Núñez (eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11896 LNCS, Springer, pp. 514-524, 24th Iberoamerican Congress on Pattern Recognition, CIARP 2019, Havana, Cuba, 28/10/19. https://doi.org/10.1007/978-3-030-33904-3_48

A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City. / Giraldo-Forero, Andres Felipe; Garcia-Lopez, Sebastian; Rodriguez-Marin, Paula Andrea et al.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings. ed. / Ingela Nyström; Yanio Hernández Heredia; Vladimir Milián Núñez. Springer, 2019. p. 514-524 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11896 LNCS).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - A Spatiotemporal Analysis of Taxis Demand

T2 - 24th Iberoamerican Congress on Pattern Recognition, CIARP 2019

AU - Giraldo-Forero, Andres Felipe

AU - Garcia-Lopez, Sebastian

AU - Rodriguez-Marin, Paula Andrea

AU - Martinez, Juan

AU - Céspedes-Villar, Yohan Ricardo

AU - Cardona, Oscar

AU - Acosta, Juan Camilo

AU - Trujillo, Luis Carlos

PY - 2019

Y1 - 2019

N2 - The analysis of urban dynamics has taken on a fundamental role in recent years, even more so considering the accelerated population growth of cities throughout the world. Within this dynamic, one of the most important tasks is urban planning, being able for example to give solution to important problems such as the flow of transport for the improvement of citizen welfare. The following study will present a spatiotemporal analysis of demand flow in taxi service requests in the city of Manizales - Colombia during the year 2016. The study carries out three types of analysis: a spatial analysis that exposes the behavior of requests for taxis throughout the communes of the city, then a temporal analysis is conducted to show the hours of greatest demand and finally the spatiotemporal analysis that gives a general forecast regarding the behavior of taxi requests comprising the second quarter of 2016.

AB - The analysis of urban dynamics has taken on a fundamental role in recent years, even more so considering the accelerated population growth of cities throughout the world. Within this dynamic, one of the most important tasks is urban planning, being able for example to give solution to important problems such as the flow of transport for the improvement of citizen welfare. The following study will present a spatiotemporal analysis of demand flow in taxi service requests in the city of Manizales - Colombia during the year 2016. The study carries out three types of analysis: a spatial analysis that exposes the behavior of requests for taxis throughout the communes of the city, then a temporal analysis is conducted to show the hours of greatest demand and finally the spatiotemporal analysis that gives a general forecast regarding the behavior of taxi requests comprising the second quarter of 2016.

KW - Forecasting

KW - Operational dynamics

KW - Smart cities

KW - Time series

UR - https://www.scopus.com/pages/publications/85075693420

U2 - 10.1007/978-3-030-33904-3_48

DO - 10.1007/978-3-030-33904-3_48

M3 - Conference contribution

AN - SCOPUS:85075693420

SN - 9783030339036

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 514

EP - 524

BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings

A2 - Nyström, Ingela

A2 - Hernández Heredia, Yanio

A2 - Milián Núñez, Vladimir

PB - Springer

Y2 - 28 October 2019 through 31 October 2019

ER -

Giraldo-Forero AF, Garcia-Lopez S, Rodriguez-Marin PA, Martinez J, Céspedes-Villar YR, Cardona O et al. A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City. En Nyström I, Hernández Heredia Y, Milián Núñez V, editores, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings. Springer. 2019. p. 514-524. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-33904-3_48

A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City

Resumen

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Conferencia

ODS de las Naciones Unidas

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