Clustering Approach to Generate Pedestrian Traffic Pattern Groups: An Exploratory Analysis

Enfoque de agrupamiento para generar grupos de patrones de tráfico peatonal: un análisis exploratorio

dc.creatorHernández-Vega, Henry
dc.creatorMatamoros-Jiménez, Carolina
dc.date2021-12-31
dc.date2023-03-22T18:49:08Z
dc.date2023-03-22T18:49:08Z
dc.date.accessioned2023-09-06T17:54:03Z
dc.date.available2023-09-06T17:54:03Z
dc.identifierhttps://revistas.unimilitar.edu.co/index.php/rcin/article/view/4403
dc.identifier10.18359/rcin.4403
dc.identifierhttp://hdl.handle.net/10654/42590
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8693363
dc.descriptionThis study shows the development of patterns of temporal hourly volume distributions in an urban area in Costa Rica, based on a cluster analysis of pedestrian data. This study aims to establish specific pattern groups for the temporal variation of weekday pedestrian volumes applying cluster analysis in the central business district of Guadalupe in San José. For 46 counting sites, vectors with the weekday hourly factors, the proportion of the daily pedestrian traffic, were estimated. A hierarchical cluster method was implemented to group the vectors of hourly factors from the different counting sites. This method groups elements by minimizing the Euclidean distance between elements of the same group and, at the same time, maximizing the distances from elements of other groups. In addition, the groups found through this analysis are related to land use through buffers of different radios. Eight temporal pattern groups were obtained through cluster analysis. Two pattern groups account for more than two-thirds of the sites included in the study. Fisher’s exact independence test shows that banks and public services could explain some of the patterns observed. The classification of 46 counting sites based on temporal distribution patterns, and the relation with the establishments in the area, allows a simplification of the information and facilitates an understanding of the pedestrian mobility in the area. Further research is required that leads towards geographical elements that could explain the differences in temporal and mobility patterns.
dc.descriptionEl presente estudio muestra el desarrollo de patrones de distribuciones temporales de volumen por hora en un área urbana de Costa Rica con base en un análisis de grupos de datos de peatones. Este estudio tiene como objetivo establecer grupos de patrones específicos para la variación temporal de los volúmenes de peatones entre semana mediante la aplicación del análisis de grupos en el distrito comercial central de Guadalupe en San José. Para 46 sitios de conteo, se estimaron los vectores con los factores horarios del día de la semana y la proporción del tráfico peatonal diario. Se implementó un método de agrupamiento jerárquico para los vectores de factores horarios de los sitios de conteo; este método agrupa elementos minimizando la distancia euclidiana entre elementos del mismo grupo mientras maximiza las distancias con elementos de otros grupos. Los grupos encontrados a través de este análisis están relacionados con el uso del suelo a través de búferes de diferentes radios. Se obtuvieron ocho grupos de patrones temporales mediante análisis de grupos; dos de estos representan más de dos tercios de los sitios incluidos en el estudio. La prueba de independencia exacta de Fisher muestra que los bancos y los servicios públicos podrían dar cuenta de algunos de los patrones observados. Esta clasificación permite una simplificación de la información y facilita la comprensión de la movilidad peatonal en la zona. En este sentido, se requieren más investigaciones que conduzcan a elementos geográficos que podrían explicar diferencias en los patrones temporales y de movilidad.
dc.formatapplication/pdf
dc.formattext/xml
dc.languageeng
dc.publisherUniversidad Militar Nueva Granada
dc.relationhttps://revistas.unimilitar.edu.co/index.php/rcin/article/view/4403/4984
dc.relationhttps://revistas.unimilitar.edu.co/index.php/rcin/article/view/4403/5056
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dc.rightsDerechos de autor 2022 Ciencia e Ingeniería Neogranadina
dc.sourceCiencia e Ingenieria Neogranadina; Vol. 31 No. 2 (2021); 41-60
dc.sourceCiencia e Ingeniería Neogranadina; Vol. 31 Núm. 2 (2021); 41-60
dc.sourceCiencia e Ingeniería Neogranadina; v. 31 n. 2 (2021); 41-60
dc.source1909-7735
dc.source0124-8170
dc.subjectPedestrian
dc.subjecttemporal pattern
dc.subjectcluster analysis
dc.subjectmobility
dc.subjecturban area
dc.subjectpeatón
dc.subjectpatrón temporal
dc.subjectanálisis de grupos
dc.subjectmovilidad
dc.subjectárea urbana
dc.titleClustering Approach to Generate Pedestrian Traffic Pattern Groups: An Exploratory Analysis
dc.titleEnfoque de agrupamiento para generar grupos de patrones de tráfico peatonal: un análisis exploratorio
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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