Governance through Conflict: Consensus Building in the Fenicia Urban Renewal Project in Bogotá, Colombia

2021 ◽  
Vol 47 (1) ◽  
pp. 31-55
Author(s):  
Juan Felipe Pinilla ◽  
Martín Arteaga

The Fenicia project is an urban redevelopment project in an area of downtown Bogotá, within the immediate vicinity of Los Andes University, the principal promoter of the project. The project has not yet been completed but the way in which it has been formulated, as well as its characteristics and basic objectives, have made it a reference point in the city of Bogotá. From the very beginning, the project has confronted numerous conflicts and tensions between the different stakeholders involved in its implementation. The conflict management approach implemented in this case study has contributed to correcting many of the equity concerns that other urban renewal projects in the city have generated. It does so by promoting inclusive and deliberative dynamics between the promoter, local authorities, and property owners in the zone. Land readjustment is an instrument that could allow the current property owners to remain in the area, participate as partners in the benefits of the project, and play a leading role in decision-making processes.

Author(s):  
Justin T. Clark

By the 1830s, the urban renewal project discussed in the previous chapter only further revealed the intractable messiness of the urban landscape. A decade of gentrification exacerbated anxiety about whether the city’s sites and edifices could compete with surrounding topographical and human congestion. The champions of improvement sought to ease their doubts by commissioning images that abstracted, obscured, or shrank into insignificance the disorder surrounding urban landmarks. Yet even as these ideal representations of the city proliferated, Bostonians questioned whether their fellow spectators saw moral landmarks as intended. A middle-class culture of novels, guidebooks, periodicals, plays, and other sources introduced a new typology of spectators—the connoisseur and the poseur, the vista seeker and the speculator, the libertine and the sentimentalist—who revealed their true characters through their divergent reactions to the city’s monuments, parks, galleries, paintings, and sculptures.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2745
Author(s):  
Tzu-Ling Huang ◽  
Chien-Yuan Kuo ◽  
Chun-Ta Tzeng ◽  
Chi-Ming Lai

The pedestrian wind environment in a street canyon is affected by a multitude of factors, including the height and geometric shape of the surrounding buildings, the street width, the wind direction, and speed. Wind-tunnel tests were performed to determine the effects of constructing high buildings in an urban renewal project in New Taipei City, Taiwan on the pedestrian wind environments in the surrounding street canyons. The results show that replacing the original low-rise buildings with high-rise buildings could decrease the wind speed and natural ventilation potential in certain surrounding street canyons. The flow fields generated by approaching winds in various street canyons are highly complex in this practical case study. Thus, the pedestrian wind patterns in the street canyons cannot be interpreted in terms of channeling and shielding effects alone, as is typically reported in the literature.


Author(s):  
Robert Procter ◽  
Miguel Arana-Catania ◽  
Felix-Anselm van Lier ◽  
Nataliya Tkachenko ◽  
Yulan He ◽  
...  

The development of democratic systems is a crucial task as confirmed by its selection as one of the Millennium Sustainable Development Goals by the United Nations. In this article, we report on the progress of a project that aims to address barriers, one of which is information overload, to achieving effective direct citizen participation in democratic decision-making processes. The main objectives are to explore if the application of Natural Language Processing (NLP) and machine learning can improve citizens? experience of digital citizen participation platforms. Taking as a case study the ?Decide Madrid? Consul platform, which enables citizens to post proposals for policies they would like to see adopted by the city council, we used NLP and machine learning to provide new ways to (a) suggest to citizens proposals they might wish to support; (b) group citizens by interests so that they can more easily interact with each other; (c) summarise comments posted in response to proposals; (d) assist citizens in aggregating and developing proposals. Evaluation of the results confirms that NLP and machine learning have a role to play in addressing some of the barriers users of platforms such as Consul currently experience.


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