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Articles 1 - 5 of 5
Full-Text Articles in Architecture
Terra Incognita: Post-Traumatic Infrastructural Opportunism, Zachary Corre Orig
Terra Incognita: Post-Traumatic Infrastructural Opportunism, Zachary Corre Orig
EURēCA: Exhibition of Undergraduate Research and Creative Achievement
In anticipation of the impending results of a world affected by climate change, architecture is now more than ever positioned to leverage its unique influence, communication, and power to fight problems that the world cannot see. Every day we turn a lamp on, start a car, or make a pot of coffee, we are engaging into a complex system of interacting with the world’s natural resources: fossil fuels. The United Nations, as of 2019, predicts we have but twelve years at most until climate change is irreversible. As the world runs out of time to cool down, global traumatic …
Unveiling Women’S Needs And Expectations As Users Of Bike Sharing Services: The H2020 Diamond Project, Andrea Gorrini, Rawad Choubassi, Federico Messa, Wafaa Saleh, Augustus Ababio-Donkor, Maria Chiara Leva, Lorraine D'Arcy, Francesco Fabbri, David Laniado, Pablo Aragon
Unveiling Women’S Needs And Expectations As Users Of Bike Sharing Services: The H2020 Diamond Project, Andrea Gorrini, Rawad Choubassi, Federico Messa, Wafaa Saleh, Augustus Ababio-Donkor, Maria Chiara Leva, Lorraine D'Arcy, Francesco Fabbri, David Laniado, Pablo Aragon
Articles
Within the objectives of the H2020 DIAMOND project, the paper investigates women’s needs and expectations as users of the bike-sharing service managed by Syndicat Mixte Autolib et Velib Métropole in the territory of Paris Region-Petite Couronne (France). The paper presents a thematic literature review focused on gender inclusion in bike-sharing schemes. The proposed methodological approach is based on (i) Geographic Information Systems for the analysis of geolocated open datasets related to land, sociodemographic and mobility characteristics of the areas surrounding each docking stations. This was aimed at identifying a short list of suitable bike-sharing docking stations, which were further characterized …
Evaluating Urban Parks Accessibility And Equity: A Case Study Of Hartford, Ct And New Haven, Ct, Natalie Roach, Mara Tu
Evaluating Urban Parks Accessibility And Equity: A Case Study Of Hartford, Ct And New Haven, Ct, Natalie Roach, Mara Tu
Honors Scholar Theses
Public parks provide cities with environmental benefits, positive health effects, recreational opportunities, community building, educational spaces, and public amenities. However, certain populations have been systematically denied their fair share of these benefits because of unjust practices in the creation and maintenance of urban parks. With a lens of environmental justice, the goal of this research was to assess park quality and accessibility of two Connecticut cities, Hartford and New Haven, by gathering publicly available information as well as using GIS tools.
The Trust for Public Land (TPL) has an existing ParkScore rating system that evaluates the quality of a city’s …
Environmental Psychology: Open Syllabus, Valkiria Duran-Narucki
Environmental Psychology: Open Syllabus, Valkiria Duran-Narucki
Open Educational Resources
This is a syllabus designed to work as a "frame" that you can use and populate together with students. The goal is to provide a perspective from environmental psychology.
A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali
A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali
Department of Anthropology: Faculty Publications
Airborne light detection and ranging (LIDAR) systems allow archaeologists to capture 3D data of anthropogenic landscapes with a level of precision that permits the identification of archaeological sites in difficult to reach and inaccessible regions. These benefits have come with a deluge of LIDAR data that requires significant and costly manual labor to interpret and analyze. In order to address this challenge, researchers have explored the use of state-of-the-art automated object recognition algorithms from the field of deep learning with success. This previous research, however, has been limited to the exploration of deep learning processes that work with only 2D …