scholarly journals Developing the Operational City: Sidewalk Labs & Toronto’s Eastern Waterfront

2018 ◽  
Author(s):  
T.F. Tierney ◽  
Keyword(s):  
Artificial Intelligence ◽  
Urban Design ◽  
Data Aggregation ◽  
Feedback Loops ◽  
Private Partnership ◽  
Waterfront Development ◽  
Citizen Data ◽  
Future Vision ◽  
The City

In social media and the popular press, there is much discussion over the City of Toronto’s decision to partner with Google on their Eastern Waterfront development, however, there has not been enough scholarly research on its long-term implications. First, this public-private partnership signals a new model for urban design professionals. Second, intelligent infrastructure will be harvesting citizen data continuously and autonomously twenty-four hours per day. Google will build on its reputation as the world’s largest search and data aggregation company by layering the city with a ubiquitous wireless network on top of city services, forming an informational stack that will invisibly orchestrate communication, economics, and energy. Artificial intelligence software will analyze the resultant mass of citizen data, and use it to automatically inform decisions that will shape future city services. Those analytical feedback loops will create an operational city, one where cars drive themselves and smartphones know what residents want and where to find it – all in real time. Is this the future vision for our cities?

Waterfront as the Public Space of the City - Research on the Waterfront Park of the North Bund in Shanghai

2013 ◽  
Vol 807-809 ◽  
pp. 1733-1736 ◽  
Author(s):  
Chun Xia Yang ◽  
Wei Shang ◽  
Stefania Rusconi ◽  
Beatrice Anne Bruneaux
Keyword(s):  
Landscape Ecology ◽  
Public Space ◽  
Urban Design ◽  
Environmental Resources ◽  
Waterfront Development ◽  
The Public ◽  
Future Design ◽  
The North ◽  
The Future ◽  
The City

The waterfront development in China faces the problems of landscape, ecology and sustainability. According to the research of the waterfront park in the North Bund of Shanghai, this paper discusses the main issues from the view of urban design and gives possible countermeasures for the future design. In order to make full use of the environmental resources, we should build a connection between the waterfront and the inside city, and provide more opportunities for individuals to keep closing to water.

Marginalizing Poverty with Car-Dependent Design: The Story of Two Expulsions

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Tristan Cleveland
Keyword(s):  
Historically Black ◽  
Urban Design ◽  
Low Income ◽  
Economic Transformation ◽  
First Nation ◽  
Walking Distance ◽  
Black Communities ◽  
Design Elements ◽  
The City

In the twentieth century in Nova Scotia, at least two racialized communities were forcibly expelled from their land: Black Africville residents in Halifax and the Membertou Mi’kmaw First Nation in Sydney. Differences in the long-term outcomes of the two expulsions, however, reveal critical factors in how urban design can support or frustrate poverty alleviation. While the Membertou First Nation was relocated as a whole to a centralized context where they were geographically positioned to stage an economic transformation, Africville residents were more widely dispersed, many to areas with less access to jobs and other economic opportunities.This article analyzes the urban design elements in Halifax that create barriers to prosperity for the city’s historically Black communities and low-income residents. These factors include housing displacement, the suburbanization of poverty, and a lack of access to transit and other destinations within walking distance of homes. This article proposes three policy options to address these barriers and ensure that the city offers opportunity to all residents.

scholarly journals Learning Algorithms, Design, and computed space

2019 ◽  
Vol 16 (2) ◽  
pp. 6-17
Author(s):  
Roberto Bottazzi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Urban Design ◽  
Spatial Data ◽  
Learning Algorithms ◽  
Large Datasets ◽  
Digital Design ◽  
The City ◽  
Radical Transformation

The paper analyses and speculates on what opportunities and challenges will arise from the introduction of learning algorithms (machine learning, neural networks, etc.) in architectural and urban design. The penetration of such class of algorithms in cities and design disciplines is rapid and profound increasing both the thirst for gathering ever larger and more accurate datasets and raising the prospect of automating tasks currently performed by humans. Whilst it is understood that learning algorithms are essential tools to analyse large datasets, design disciplines have paid far less attention to how such processes are carried out, how spatial data are reformatted by algorithms which largely operate on statistical bases and, most importantly, what image of the city emerges from such processes. To unravel the complexity of the issue, it is first necessary to retrace the ideas informing the emergence of numerical procedures at beginning of the twentieth century and Artificial Intelligence in the 1950’s as they allow us to project a different paradigm of how space can be analysed, structured, and changed. Finally, the paper will offer some points for speculation and further reflection on how the methods put forward through learning algorithms compare to current approaches to digital design; this will foreground their disruptive potential for a radical transformation of urban design, one that could be deployed to tackle some of the most pressing urban issue. 

scholarly journals EVOLUTION OF WATERFRONT DEVELOPMENT IN LUMUT CITY, PERAK, MALAYSIA

2020 ◽  
Vol 18 (13) ◽  
Author(s):  
Mohd Ismail Isa
Keyword(s):  
Urban Design ◽  
Physical Environment ◽  
City Image ◽  
Environmental Aspects ◽  
Design Elements ◽  
Waterfront Development ◽  
Environment Quality ◽  
Secondary Information ◽  
And Function ◽  
The City

This study on the evolution of waterfront development in Lumut through physical improvement serves as one component in the formation of a city from the economic, social and environmental aspects. The current study aims to review the elements of urban design that offer an alternative to the revitalisation of the waterfront city in Lumut, Malaysia, particularly to upgrade the physical environment quality and economic vibrancy of cities. The objectives of this study are as follows: (1) examine the consideration and perceptions of urban design aspects given by the respondents related to the evolution of a Lumut waterfront city, and (2) identify urban design elements that have evidence of significant contributions to the revitalisation of the aforementioned city. This research comprises two components. The first component explains the analysis based on observation and the obtained secondary information. The second component is the inventory study and analysis related to the city design in the study area. The theoretical study involves city image enhancement concepts, basic methods and principles in improving the structure of city elements. It also elaborates that any improvement or modification that should be done in any of the city elements must proceed through a proper channel and adhere to improvement or modification steps that have been proposed by design experts. The reason is to create harmony between the city elements with their surroundings to form an image that has identity, structure and meaning. With effective consideration, the proposed development must be closely assessed for its use and function before any project is endorsed and enforced. Issues discovered by this study will facilitate the formulation of strategies and suitable proposals, and automatically ensures improvement of the economic, social and environmental conditions.

Impact of the urban construction solutions on the safety population

2020 ◽  
Vol 17 (2) ◽  
pp. 66-73
Author(s):  
R. D. Oktyabrskiy
Keyword(s):  
Traffic Congestion ◽  
Urban Population ◽  
Road Network ◽  
Residential Development ◽  
Emergency Situations ◽  
Urban Construction ◽  
Safety Population ◽  
Peace And War ◽  
The City

The article is devoted to the justification of the need to reduce the population density in the residential development of cities. The analysis of vulnerability of the urban population from threats of emergency situations of peace and war time, and also an assessment of provision of the city by a road network is given. Proposals have been formulated to reduce the vulnerability of the urban population in the long term and to eliminate traffic congestion and congestion — jams.

Turkish Muslims in a German city: Entrepreneurial and residential self-determination

2015 ◽  
Vol 12 (1) ◽  
pp. 1-12
Author(s):  
Sarah Hackett
Keyword(s):  
Residential Patterns ◽  
Academic Literature ◽  
Self Employment ◽  
German City ◽  
Post War ◽  
Oral History Interviews ◽  
The City ◽  
Insight Into ◽  
Term Objective

Drawing upon a collection of oral history interviews, this paper offers an insight into entrepreneurial and residential patterns and behaviour amongst Turkish Muslims in the German city of Bremen. The academic literature has traditionally argued that Turkish migrants in Germany have been pushed into self-employment, low-quality housing and segregated neighbourhoods as a result of discrimination, and poor employment and housing opportunities. Yet the interviews reveal the extent to which Bremen’s Turkish Muslims’ performances and experiences have overwhelmingly been the consequences of personal choices and ambitions. For many of the city’s Turkish Muslim entrepreneurs, self-employment had been a long-term objective, and they have succeeded in establishing and running their businesses in the manner they choose with regards to location and clientele, for example. Similarly, interviewees stressed the way in which they were able to shape their housing experiences by opting which districts of the city to live in and by purchasing property. On the whole, they perceive their entrepreneurial and residential practices as both consequences and mediums of success, integration and a loyalty to the city of Bremen. The findings are contextualised within the wider debate regarding the long-term legacy of Germany’s post-war guest-worker system and its position as a “country of immigration”.

Book Review

2016 ◽  
Vol 6 (2) ◽  
pp. 386-389
Author(s):  
Eduardo Oliveira
Keyword(s):  
Urban Planning ◽  
Urban Design ◽  
Olympic Games ◽  
City Image ◽  
European Capital Of Culture ◽  
The Arts ◽  
The World ◽  
The City ◽  
The Olympic Games

Evinç Doğan (2016). Image of Istanbul, Impact of ECoC 2010 on The City Image. London: Transnational Press London. [222 pp, RRP: £18.75, ISBN: 978-1-910781-22-7]The idea of discovering or creating a form of uniqueness to differentiate a place from others is clearly attractive. In this regard, and in line with Ashworth (2009), three urban planning instruments are widely used throughout the world as a means of boosting a city’s image: (i) personality association - where places associate themselves with a named individual from history, literature, the arts, politics, entertainment, sport or even mythology; (ii) the visual qualities of buildings and urban design, which include flagship building, signature urban design and even signature districts and (iii) event hallmarking - where places organize events, usually cultural (e.g., European Capital of Culture, henceforth referred to as ECoC) or sporting (e.g., the Olympic Games), in order to obtain worldwide recognition. 

Class B Land Application: A Long-term, Highly Successful Public-Private Partnership

2017 ◽  
Vol 2017 (1) ◽  
pp. 1056-1064
Author(s):  
Jake Finlinson ◽  
Dave Ruud ◽  
Andy Bary ◽  
Maile Lono-Batura
Keyword(s):  
Land Application ◽  
Public Private Partnership ◽  
Private Partnership ◽  
Class B

Towards a Customized¬ Awareness Campaign to Educate the Public about COVID-19: Development and Validation of a Messaging Campaign to Promote Precautionary Behavior Using Geospatial Intelligence in Saudi Arabia (Preprint)

2020 ◽  
Author(s):  
Mayda Alrige ◽  
Hind Bitar Bitar ◽  
Maram Meccawi ◽  
Balakrishnan Mullachery
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Content Validity ◽  
Awareness Campaign ◽  
Artificial Intelligence Technique ◽  
The Public ◽  
High Infection ◽  
Local Map ◽  
The City ◽  
Intelligence Technique

BACKGROUND Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease, such as Covid-19. In Saudi Arabia, many attempts have been made toward raising the public awareness about Covid-19 infection-level and its precautionary health measures that have to be taken. Although this is useful, most of the health information delivered through the national dashboard and the awareness campaign are very generic and not necessarily make the impact we like to see on individuals’ behavior. OBJECTIVE The objective of this study is to build and validate a customized awareness campaign to promote precautionary health behavior during the COVID-19 pandemic. The customization is realized by utilizing a geospatial artificial intelligence technique called Space-Time Cube (STC) technique. METHODS This research has been conducted in two sequential phases. In the first phase, an initial library of thirty-two messages was developed and validated to promote precautionary messages during the COVID-19 pandemic. This phase was guided by the Fogg Behavior Model (FBM) for behavior change. In phase 2, we applied STC as a Geospatial Artificial Intelligence technique to create a local map for one city representing three different profiles for the city districts. The model was built using COVID-19 clinical data. RESULTS Thirty-two messages were developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The enumerated content validity of the messages was established through the utilization of Content Validity Index (CVI). Thirty-two messages were found to have acceptable content validity (I-CVI=.87). The geospatial intelligence technique that we used showed three profiles for the districts of Jeddah city: one for high infection, another for moderate infection, and the third for low infection. Combining the results from the first and second phases, a customized awareness campaign was created. This awareness campaign would be used to educate the public regarding the precautionary health behaviors that should be taken, and hence help in reducing the number of positive cases in the city of Jeddah. CONCLUSIONS This research delineates the two main phases to developing a health awareness messaging campaign. The messaging campaign, grounded in FBM, was customized by utilizing Geospatial Artificial Intelligence to create a local map with three district profiles: high-infection, moderate-infection, and low-infection. Locals of each district will be targeted by the campaign based on the level of infection in their district as well as other shared characteristics. Customizing health messages is very prominent in health communication research. This research provides a legitimate approach to customize health messages during the pandemic of COVID-19.

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