Abstract—This paper discusses the application of thetravel
demand model of similar cities groups from the
CampinasMetropolitan Region by means of their economic
characteristics. The cities groups were obtained from the
statistical technique of multivariate cluster analysis which
resulted in 4 clusters. This technique required the choice of a
similarity measure and the clustering algorithm. The result
obtained were represented by a dendogram that represents
clusters of seminaries cities. Demand models correlating trips
and job variableswere developed for each cluster. Finally, this
article has pointed out that the partition of cities using variables
such as jobs has revealed to be the most coherent with the
observed data, rather than a model that considers cities in the
CMR indistinctively.
Index Terms—Cluster, demand, modelling, transport.
Alexandre Frazão D’Andrea is with transport planning coordinator at
Sistran Engenharia (GPO Group), UNICAMP, São Paulo, Brazil (e-mail:
frazao.ale@gmail.com )
[PDF]
Cite: Alexandre Frazão D’Andrea and Maria Teresa Francoso, "Application of Cluster Analysisin Trip Attraction Models
of Campinas Metropolitan Region," International Journal of Engineering and Technology vol. 7, no. 5, pp. 377-381, 2015.
