Community severance and vertical equity assessment with spatially aggregated data

Abstract

LARA, D. V. R. (2019). Community severance and vertical equity assessment with spatially aggregated data. Thesis (Master).

Efeito barreira em cidades médias brasileiras: o caso de viagens não motorizadas em São Carlos, SP

“…No caso de ruas e vias urbanas, a velocidade e o volume de tráfego atuam como barreiras que impedem ou dificultam significativamente os deslocamentos locais a pé ou de bicicleta e o acesso a bens e serviços, o que compromete o bem-estar da população (ANCIAES, 2015). Nos últimos anos, alguns estudos têm buscado entender os efeitos das infraestruturas de transporte no cotidiano dos indivíduos (ANCIAES et al, 2016;GUO;BLACK;DUNNE, 2001;LARA;RODRIGUES DA SILVA, 2018, 2019MINDELL et al, 2017;NIMEGEER et al, 2018;SILVA JUNIOR;FERREIRA, 2008; VAN ELDIJK et al, 2020).…”

Equity issues and the PeCUS index: an indirect analysis of community severance

“…Urban barriers are often a consequence of the unplanned expansion of transport infrastructures (railways, freeways, roadways, urban streets, etc. ), housing growth nearby existing transport infrastructures and the vehicular traffic itself (Lara 2019). This process, also known as "community severance", is a problem that affects the travel patterns of the population and causes negative impacts to adjacent communities.…”

“…Regarding crossing facilities, they are sometimes not favorable to pedestrian movements. Due to the type of crossing facility, its conservation status, location, on-site public lighting, among other factors, there may be pedestrian delays, risks of trampling, robbery, or violence (Lara 2019). Additionally, according to the study conducted by Mindell et al (2017), in general, the presence of a median strip aids pedestrians crossing the road, by splitting the crossing into two stages.…”

“…The analysis of this interdisciplinary effect often involves many variables and tools, which can demand qualified and well-trained professionals (e.g. for specific data collection procedures), commitment from the target population, costly technologies, and restricted-access data (Lara 2019). For this reason, the combination of census data (although highly aggregated), open access data, and free Geographic Information System software into a single approach, whenever possible, may save time, effort, and financial resources.…”

“…Summary of the criteria assessed for classifying pedestrian crossings on urban streets, as suggested byLara (2019).…”