English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. Over the last decades, Brazilian cities have gone through a rapid process of urbanization. Population growth has brought the need for new technological and construction developments such as highways and housing centers. One of the most important factors related to this growth has to do with the capacity of locomotion, which is done especially by car. In Brasilia there is a large volume of cars circulating, which causes noise, air pollution, difficulty of locomotion during rush hours generated by traffic jam and stress that affects drivers and the general population. The bike stands out in this context because it is a vehicle considered clean for not polluting the environment and it is easily accessible to almost all social classes, being ideal for short to medium range routes. The University of Brasilia (UnB) has a considerable number of cyclists. The University has several bike lanes that have been built to connect the various departments along the campus. In this context, the purpose of this work is the elaboration of a slope map made from a Digital Elevation Model (DEM) to classify the bike lanes as critical or not. The DEM was made from a rectangular grid by the Anudem method and a final map in the 1 : 10000 scale was generated. The proportion of green areas and lampposts that cover the bike lanes on campus was also analyzed. The results characterize the bike lanes as non-critical in relation to the inclination, whereas the relation of number of lampposts as well as the vegetation that cover the area to the number of bike racks on campus was considered low.

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

MAPPING THE USABILITY AND QUALITY OF BICYCLE PATHS USING A TERRAIN-INCLINATION-BASED CLASSIFICATION, STUDY CASE: DARCY RIBEIRO CAMPUS, UNIVERSITY OF BRASÍLIA, BRAZIL