This presentation was given as a webinar in collaboration with All things Urban (https://www.allthingsurban.net/) and IE University. It is entitled Urban Inequalities: How can cities include people?
I provide a brief problem definition of urban inequalities as a complex urban problem that extends far beyond wealth and income inequalities. I show different perspectives and ways we may look at this complex problem. I then propose that urban inequalities emerge through the interactions between critical infrastructure and society over time, with key insights.
I conclude by providing examples of socially inclusive design projects and initiatives at different urban scales with actionable insights that practitioners and students in the built environment may use to create more socially inclusive environments.
I did this brief presentation for the Urban Design and Mobility Forum - a public interface partnership between civil society and the Office of the Mayor of Cape Town in conjunction with Young Urbanists. I was asked to speak on the theme of "getting density right" in the context of Cape Town, South Africa.
The World Youth Report 2013—Youth Migration and Development is the product of the efforts, contributions and support of many people and organizations. From the outset, the process of developing the Report involved a range of participatory
consultations designed to draw on the perspectives of youth on how migration affects them. These consultative sessions
included a five-week e-consultation process, a survey on youth migration and development, a call for visual art
illustrating the daily life experiences of young migrants as well as youth initiatives on migration and development,
and a Google+ Hangout held on 6 March 2013 to identify sustainable solutions for addressing youth migration challenges.
For more information: http://www.unworldyouthreport.org/
A Presentation made to the student of BDevS at Center for Development Studies, National College for Higher Education, KU in October 2014, kathmandu, Nepal
Prof Ni-Bin Chang talked about the urban growth model to be adopted in the "Flood impact assessment in mega cities under urban sprawl and climate change" project.
I did this brief presentation for the Urban Design and Mobility Forum - a public interface partnership between civil society and the Office of the Mayor of Cape Town in conjunction with Young Urbanists. I was asked to speak on the theme of "getting density right" in the context of Cape Town, South Africa.
The World Youth Report 2013—Youth Migration and Development is the product of the efforts, contributions and support of many people and organizations. From the outset, the process of developing the Report involved a range of participatory
consultations designed to draw on the perspectives of youth on how migration affects them. These consultative sessions
included a five-week e-consultation process, a survey on youth migration and development, a call for visual art
illustrating the daily life experiences of young migrants as well as youth initiatives on migration and development,
and a Google+ Hangout held on 6 March 2013 to identify sustainable solutions for addressing youth migration challenges.
For more information: http://www.unworldyouthreport.org/
A Presentation made to the student of BDevS at Center for Development Studies, National College for Higher Education, KU in October 2014, kathmandu, Nepal
Prof Ni-Bin Chang talked about the urban growth model to be adopted in the "Flood impact assessment in mega cities under urban sprawl and climate change" project.
My presentation on Urban Sprawl for Sustainability Information Solutions weekly call.
Urban Sprawl is a situation where large stores, groups of houses, etc. are built in an area around a city that formerly had a few people living in it.
Spatial representation of data in Urban Planning and DesignRoberto Rocco
This a lecture of data, statistics and spatial representation and understanding of data. This is important for planners and designers who need to understand social trends in space and how to communicate them to an audience. I typically teach this lecture in 50 minutes (I skip some slides). Feel free to use material here, but do the right thing: acknowledge the source.
What is the role of THEORY in Urbanism?Roberto Rocco
This is a presentation prepared for the course Methodology for Urbanism (Ar2U090) of the the TU Delft, Faculty of Architecture. In this presentation we discuss what is theory and why we need theories in Urbanism.
Urban Thinkers Campus TU Delft Report, World Urban Forum 9Roberto Rocco
Presentation given ay the World Urban Forum 9 in Kuala Lumpur on the results of the Urban Thinkers Campus held at TU Delft "EDUCATION FOR THE CITY WE NEED", sponsored by the World Urban Campaign, Arcadis and others.
My presentation on Urban Sprawl for Sustainability Information Solutions weekly call.
Urban Sprawl is a situation where large stores, groups of houses, etc. are built in an area around a city that formerly had a few people living in it.
Spatial representation of data in Urban Planning and DesignRoberto Rocco
This a lecture of data, statistics and spatial representation and understanding of data. This is important for planners and designers who need to understand social trends in space and how to communicate them to an audience. I typically teach this lecture in 50 minutes (I skip some slides). Feel free to use material here, but do the right thing: acknowledge the source.
What is the role of THEORY in Urbanism?Roberto Rocco
This is a presentation prepared for the course Methodology for Urbanism (Ar2U090) of the the TU Delft, Faculty of Architecture. In this presentation we discuss what is theory and why we need theories in Urbanism.
Urban Thinkers Campus TU Delft Report, World Urban Forum 9Roberto Rocco
Presentation given ay the World Urban Forum 9 in Kuala Lumpur on the results of the Urban Thinkers Campus held at TU Delft "EDUCATION FOR THE CITY WE NEED", sponsored by the World Urban Campaign, Arcadis and others.
K mark dyer_peoplefriendlycitiesdatarichworldevaminerva
Presentation by Prof. Mark Dyer, chair of the COST Action TU1204, People Friendly Cities in a Data Rich World at
the kick off meeting - 2013
Presented by the Chair of the session at the
EVA/Minerva Jerusalem International Conference on Digitisation of Culture,
Jerusalem, The Jerusalem Van Leer Institute, 12-13 November 2013
http://www.digital-heritage.org.il
Presentations available at: http://2013.minervaisrael.org.il
Cottbus Brandenburg University of Technology Lecture series on Smart RegionsCritically Assembling Data, Processes & Things: Toward and Open Smart CityJune 5, 2018
This lecture will critically focus on smart cities from a data based socio-technological assemblage approach. It is a theoretical and methodological framework that allows for an empirical examination of how smart cities are socially and technically constructed, and to study them as discursive regimes and as a large technological infrastructural systems.
The lecture will refer to the research outcomes of the ERC funded Programmable City Project led by Rob Kitchin at Maynooth University and will feature examples of empirical research conducted in Dublin and other Irish cities.
In addition, the lecture will discuss the research outcomes of the Canadian Open Smart Cities project funded by the Government of Canada GeoConnections Program. Examples will be drawn from five case studies namely about the cities of Edmonton, Guelph, Ottawa and Montreal, and the Ontario Smart Grid as well as number of international best practices. The recent Infrastructure Canada Canadian Smart City Challenge and the controversial Sidewalk Lab Waterfront Toronto project will also be discussed.
It will be argued that no two smart cities are alike although the technological solutionist and networked urbanist approaches dominate and it is suggested that these kind of smart cities may not live up to the promise of being better places to live.
In this lecture, the ideals of an Open Smart City are offered instead and in this kind of city residents, civil society, academics, and the private sector collaborate with public officials to mobilize data and technologies when warranted in an ethical, accountable and transparent way in order to govern the city as a fair, viable and livable commons that balances economic development, social progress and environmental responsibility. Although an Open Smart City does not yet exist, it will be argued that it is possible.
Big data and Digital Transformations in the HumanitiesMartin Wynne
Big Data and Digital Transformations in the Humanities – are we there yet? Presentation given at the workshop 'extual Digital Humanities and Social Sciences: Data > Interpretation > Understanding' at the University of Aberdeen, 21-22 September 2015
Information & Communication Technology key to enable sustainable urbanizationEricsson
For the first time in human history more people live in cities than in rural areas. By 2050 it is expected that 7 out of 10 people will be urbanites, with the majority of growth occurring in cities of the Global South. A new report co-written with UN Habitat shows how technology can enable economically, socially and environmentally sustainable cities, with emphasis on solving the challenge of access to water.
TU Delft + NEBSTAR students booklet.pdfmimiramirez8
Geodesign for a Circular Economy in Urban Regions
Report on master students’ output
This report comprises the work produced by students and the reflective contributions from various stakeholders engaged in the case study in the period between 26.04.2023 and 28.06.2023.
On 13 February 2017, the Urban Transformations programme, funded by the Economic and Social Research Council (ESRC), brought together a range of academics and practitioners from across Europe for a knowledge exchange event on urban living labs and smart cities. The University of Oxford convened the event, working with the European Regions Research & Innovation Network (ERRIN) and the workshop took place at one of ERRIN’s members, the Delegation of the Basque Country to the EU. This was the second in a series entitled Bridging European Urban Transformations established in partnership with the VUB (Vrije Universiteit Brussel) and its Brussels Centre for Urban Studies. In this post-Brexit era, cooperation across borders and disciplines seems more important than ever before. Consequently the series, which runs from November 2016 to October 2017, emphasises the value of connections between institutions and key players in the field of urban transformations in the UK and in the rest of Europe.
Pleased to share with you this conceptual proposal, called Civic Energy Hubs, which was developed by myself, Maxime Cunin, Bibiana Guerra and Lars Kouwenhoven, as part of the Emerging Leaders Urban AI program in 2022.
We were posed with the challenge of assimilating the knowledge we had gained through the program by proposing an intervention on the Champs-Élysées in Paris that assists in tackling climate mitigation through the Energy System.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Urban Inequalities_ How can cities include people_.pdf
1. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Urban Inequalities:
How can cities include people?
January 2023.
Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
2. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Contents
Background
1
2
3
4
5
Perspectives
Examples: socially inclusive design
Action steps: towards socially inclusive design!
Insights
Fig: Unequal Scenes
Ref: unequalscenes.com
3. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
01. Background
Why is reducing urban inequalities
important and what are urban
inequalities?
Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
4. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
01.1
Urban inequalities have grown within almost every
single country in the world over the last 30 years
(World Inequality Report, 2022).
Reducing urban inequalities is widely acknowledged
as imperative by organisations such as the United
Nations for creating and working towards
Sustainable Development.
Ref: https://ourworldindata.org/grapher/energy-consumption-by-source-and-region?country=~FRA
Sustainable Development
Fig: United Nations Sustainable Development Goals
Ref: https://international-partnerships.ec.europa.eu
5. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
01.2
Fig: Global Gini Index
Ref: data.worldbank.org.
Inequality
● Primarily been defined as an
economic issue - relating to the
distribution of income and wealth
● Metrics developed such as the Gini
Index, Atkinson Index to measure
income inequality.
6. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Urban inequalities
are about much
more than just
income and wealth…
7. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
01.3
Housing
inequalities
● Access to shelter
● Access to housing in centrally
located areas
● Home ownership
Fig: Protests
Ref: https://www.ft.com/content/eab48cd2-06a2-11e8-9650-9c0ad2d7c5b5
8. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
01.4
Energy
inequalities
● Access to electricity
● Soaring gas prices in Europe
Fig: Energy inequalities
Ref: https://www.globaltimes.cn/page/202210/1277499.shtml
9. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
01.5
Transportation
inequalities
● Can you walk, cycle safely in
your city?
● Do you have access to efficient
and safe public transport?
● Can you afford public transport?
Fig: Cycling
Ref Upsplash:
10. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
01.6
Digital
inequalities
● Internet access
● Cost
Fig: Wifi
Ref:Upsplash
11. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
02. Perspectives
How can we engage with and measure
urban inequalities beyond economic
metrics?
Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
12. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
● Amenities
● Grocery stores
● Employment opportunities
● Transit
02.1
Access
● Transportation
Research
● Economics
● Network science
Inequalities through an
accessibility lens
Access to: Methods/metrics
13. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
02.1
Access
Barriers Disadvantages Processes
14. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
● Market distributions
● Infrastructure
● Income
● Housing
02.2
Distribution
● GIS
● Statistics
● Dimension
reducing
techniques
Geographies of distribution Kinds of distributions Methods/metrics
15. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
02.2
Distribution Scale
Country
City Neighbourhoods
● Welfare Systems
● Housing policies
● National development frameworks
● Rural to urban migration
● Housing prices
● Infrastructure
● Transport
● Zoning
● Crime
● Educational Facilities
● Local services
● Local environmental factors
16. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
● Women
● Socio-economically
disadvantaged
Policy and Stakeholders
● Participatory
methods
● Computational: ie
ABM
Policy and stakeholder lens Stakeholders Methods/metrics
02.3
17. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
02.3
Policy and Stakeholders
Effects of past policy Effects of current policy Future policy effects
18. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
03. Insights
What insights have we drawn from
examining inequalities from these
perspectives?
Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
19. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Urban inequalities
are complex
problems
20. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Inequalities and complexity theory
● Exist in relational systems
that are composed of
interacting components
● These components do not
interact in a way that is
linear in cause and effect
● The interactions can
lead to new
emergent patterns
of self organisation
03.1
● There will always be
trade-offs in
developing solutions
21. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
What is the system
that urban
inequalities emerge in
composed of?
22. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
03.2
Framework
Urban inequality emerges through the
interaction between social and
critical infrastructure systems over
space and time.
Ecological
Material & Energy
Transport , Buildings,
Housing, etc.
Water, Waste,
Electricity etc.
Green areas, Trees,
Water, Terrain etc.
Digital
ICT, Internet, Cloud,
Markets, Data etc.
Social
Components
Critical
Infrastructure
Components
Urban Inequalities emerge
through the interaction
between Social and Critical
Infrastructure components
over space and time.
Space and Time
Governance
Individual
State Actors,
Municipal, etc.
Capital, Race, Gender,
Education etc.
Community
organisations etc.
Private
Companies, Business,
NGOs etc.
Community
Top down
Bottom Up
Physical
Ephemeral
Social Components shape
Infrastructure through policy,
private investment and
community action.
Over time, Infrastructure
Components reflect on the
structure of the Social through
access + distribution
Urban Infrastructure
23. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
How do the social and
critical infrastructure
components in the
city interact?
24. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
03.3
Spatial Segregation and
inequality
Extreme spatial segregation and
inequalities can form a vicious cycle.
Extreme
segregation
Social
Exclusion
Unemployment
Poverty
25. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
03.4
Individual and
Neighbourhood
The socio-spatial composition of
neighbourhoods matter: it influences
the type of school an individual
attends, community support,
employment opportunities, transport
they have access to…
26. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
03.5
The role of the State
in perpetuating
inequalities.
Governance structures and regulation
(or lack thereof) influence the way
critical infrastructure is
distributed across space and
therefore ultimately who has access to
it.
Fig: Abandoned Infonavit Homes in Mexico
Ref:https://www.mexicanist.com/l/there-are-more-than-4-million-abandoned-houses-in-mexico/
27. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
03.6
Identity and
inequalities
Identity can be thought of as the
qualities, beliefs, personality traits,
appearance or expressions that
characterise a specific group, which
may be rooted in their gender, religion,
race, nationality, or age.
Fig: Protests
Ref: https://www.britannica.com/topic/Black-Lives-Matter
28. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
04. Examples
How can we design to include people
and reduce (hopefully) inequalities?
Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
29. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
04.1
Buildings:
The Student Centre,
UCL
Creating many different kinds of
spaces for all students across
faculties to meet and interact at the
University College London.
Fig 6: Different kinds of spaces, Student Centre, UCL
Ref:https://www.nicholashare.co.uk/projects/view/new-student-centre-ucl
30. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
04.2
Streets:
Paseo de la Reforma,
Mexico City
The transformation of Paseo de la
Reforma from a street dominated by
cars to cyclists-only on a Sunday in
Mexico City attracting hundreds of
families, friends and even pets.
Fig 7: Avenida Obregon on a Sunday
Ref: Author
31. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
04.3
Neighbourhoods:
Utrecht City Centre,
Netherlands
The transformation of a highway to a
pedestrian walkway and canal in
Utrecht, the Netherlands.
Fig 8: Utrecht transformation
Ref: https://www.dutchnews.nl/news/2020/09/joining-the-circle-utrecht-removes-road-to-be-ringed-by-water-once-more/
32. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
04.4
Cities:
London
New tube line connecting East and
West London, which have historically
been divided along income and class
lines.
Fig: Elizabeth Line, London
Ref: https://www.bbc.co.uk/news/uk-england-london-61095510
33. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
04.5
Country:
Housing Policy,
South Africa
Prototype with an attempt to change
policy in upgrading shacks:
Empower Shack Project Khayelitsha,
Cape Town, by Urban think tank.
Showcasing a prototype of shack
upgrading, as a means to try and
influence national policy.
Fig: Empower Shack, Cape Town
Ref:https://www.architectural-review.com/buildings/family-business-empower-shack-in-khayelitsha-near-cape-tow
n-south-africa-by-urban-think-tank-and-eth-zurich
34. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
05. Action Steps
What steps can be taken by
practitioners & students in the built
environment to reduce inequalities?
Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
35. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Incorporate metrics of
accessibility and
distribution into the
design process.
05.1
36. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Engage with policy as
part of the design
process:
ie. land use zoning - is
it fair and just?
05.2
37. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Design for different kinds
of transport:
Ie. Walking, bicycles, buses, trains,
trams
05.3
38. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Design for the needs of
different kinds of people:
Women, the disabled, children, the
elderly, LGBTQ+ etc.
05.4
39. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Addressing inequalities requires
challenging transdisciplinary and
multidisciplinary barriers.
05.5
41. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Ruth Nelson Ruth Nelson
@ RuthJNelson
Get in touch:
42. Ruth Nelson
TU Delft PhD Researcher and spatial data scientist
Link to research
"Conceptualising urban inequalities as a complex
socio-technical phenomenon"
Nelson, Warnier and Verma (2022)
Scan me!