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Diapositiva 1 di 15 Madrid, 16/12/2013 Research and paper proposals for WG2 COST TU1204 Giulia Melis

Giulia Melis - research and paper proposals for WG2

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Action COST TU1204 - WG2 meeting, Madrid, 2013-12-16

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Page 1: Giulia Melis - research and paper proposals for WG2

Diapositiva 1 di 15 Madrid, 16/12/2013

Research and paper proposals for WG2

COST TU1204

Giulia Melis

Page 2: Giulia Melis - research and paper proposals for WG2

Diapositiva 2 di 15 Madrid, 16/12/2013

Using the web to create, assemble and disseminate geographic information provided voluntarily by individuals. Sites like Wikimapia, OpenStreetMap, Picasa (geotagged images) are acting like a global patchwork of geographic information. -  Why individuals engage voluntarily in mapping? -  Who are they (profile)? -  Is this kind of data reliable? -  How is it changing the standards of conventional geography? (state led

àpeople)

-  Is this process going to threat individual privacy?

-  What about digital divide? (equity issues)

VGI – Volunteered geographic information

Page 3: Giulia Melis - research and paper proposals for WG2

Diapositiva 3 di 15 Madrid, 16/12/2013

Using human-carried mobile devices for sensing •  Smartphone, Tablet PC, PDA, MP3 player

Differences from a traditional wireless sensor network

•  Devices are no owned and managed by a single authority •  Devices are have much more powerful resources •  Devices have dynamic mobility •  Sensing data are more related to interactions between people

and between people and their surroundings •  People are no longer just passive data users but also active data

contributors Main obstacle to its widespread deployment and adoption

•  Privacy concerns of participating individuals •  Ex. Study of the relationship between air quality and health Desired sensing data : heart rates, blood pressure, and weights

People-centric urban sensing system

Page 4: Giulia Melis - research and paper proposals for WG2

Diapositiva 4 di 15 Madrid, 16/12/2013

Some governments/city council now gather geographic information online from residents, relying on their observations of local needs or problems.

These shifts are critical to understanding the societal impacts of VGI, because they have the potential to alter which individuals and institutions can and do act as data producers, with implications for access, participation, power relations, and data content. More specifically, researchers envision an expansion in the number and diversity of individuals and social groups that create data,

Others note especially that the new forms of knowledge production enabled by these technologies may well be problematic, fostering further erosions of privacy and new forms of surveillance (Jain 2007; Obermeyer 2007; Sieber 2007; Forest and Torkington 2008).

VGI and Urban sensing: societal shifts

Page 5: Giulia Melis - research and paper proposals for WG2

Diapositiva 5 di 15 Madrid, 16/12/2013

People-centric urban sensing is a new paradigm gaining popularity. A main obstacle to its widespread deployment and adoption are the privacy concerns of participating individuals. Review of how this problem is being treated. How societies are trying to overcome it? Examples: softwares like PriSense, a novel solution to privacy-preserving data aggregation in people-centric urban sensing systems. PriSense is based on the concept of data slicing and mixing or others? PPR –Participatory Privacy Regulation ….

VGI and Urban sensing: privacy issues

Page 6: Giulia Melis - research and paper proposals for WG2

Diapositiva 6 di 15 Madrid, 16/12/2013

State of the art of applications: how data generated by users have been part of decision processes for real scopes? VGI for planning practice and site design process Focus on EU countries Issues: reliability of data (reputation schemes), professional view vs users’view?, shift in experts’ practices?, added value? How to stimulate participation in EU? gaming, prizing, etc..

VGI and Urban sensing: participation

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Diapositiva 7 di 15 Madrid, 16/12/2013

Bishr, M. and W. Kuhn (2007). "Geospatial information bottom- up: A matter of trust and semantics". In S. Fabrikant & M. Wachowicz (Eds.), The European information society: Leading the way with geo-information (pp. 365–387). Berlin: Springer Bruns, A. (2008). Blogs, Wikipedia, Second Life, and Beyond. From Production to Produsage. New York: Peter Lang. Goodchild, M.F. (2007). "Citizens as voluntary sensors: spatial data infrastructure in the world of Web 2.0" International Journal of Spatial Data Infrastructures Research 2: 24–32. (437) McLaren, R. (2009). "The Role of Urban Sensing in Managing Megacities". Proceedings of the FIG Commission 3 Workshop: Spatial Information for Sustainable Management of Urban Areas, Mainz, Germany. February. Sieber, R. (2006). “Public participation geographic information systems: A literature review and framework”. Annals of the American Association of Geography, 96(3), 491–507.

Spot references

Page 8: Giulia Melis - research and paper proposals for WG2

Diapositiva 8 di 15 Madrid, 16/12/2013

CASE STUDY REPORT

The project aims at developing a tool supporting decisions about territory (SDSS) that combines geo-related databases with a versatile range of two and three dimensional visualizations. The tool, built by combining the capabilities of two popular software (Rhinocerons® and its plugin Grasshopper), displays real-time data collected during the discussion, in order to visualize scenarios and facilitate the discussion and the acquisition of information, overcoming the difficulties due to the different technical skills of decision makers. InViTo is also compatible with different data gathering methods and multicriteria analysis Highest flexibility both in the data can be acquired, both in the methods for the definition of the dynamics, both in the type of visualization. Use of open data. User friendly interface.

Page 9: Giulia Melis - research and paper proposals for WG2

Diapositiva 9 di 15 Madrid, 16/12/2013

HOW DOES IT WORK

1. Data collection aim to define indicators and build scenarios (info, projects on going, GIS)

2.Definition of impact funcions and weighing for each indicator (surveys and discrete choice)

3. Construction of data base needed to implement the model.

4. Construction of interactive model 5. Thematic visualization of output

SiTI’s SDSS research

Page 10: Giulia Melis - research and paper proposals for WG2

Diapositiva 10 di 15 Madrid, 16/12/2013

http://www.youtube.com/watch?v=EVpm1EW7z-s http://www.youtube.com/watch?v=-874d4SK7F8

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Diapositiva 11 di 15 Madrid, 16/12/2013

CASE STUDY REPORT

Evaluating the Impact of Structural Policies on Health Inequalities and their Social Determinants, and Fostering Change (SOPHIE) Health inequalities are unfair and avoidable differences in health between population groups defined socially, economically, demographically or geographically. They are strongly affected by the circumstances in which people are born, grow, live, work and age, and by the policies influencing these circumstances. SOPHIE aims to generate new evidence on the impact of structural policies on health inequalities, and to develop innovative methodologies for the evaluation of these policies in Europe.

Page 12: Giulia Melis - research and paper proposals for WG2

Diapositiva 12 di 15 Madrid, 16/12/2013

Health equity impacts of urban renewal interventions in Turin On one hand, we are evaluating the health equity impact of renewal interventions of different nature in three Turin neighbourhoods, combining multiple controlled time series analysis and a qualitative evaluation of perceived effects among the exposed population, to understand how and for whom the intervention worked. Parallel to this, as a "macro view" of the city, social inequalities in mortality and morbidity in Turin are being mapped over time (1971-2011) together with neighbourhoods structural and social characteristics and urban renewal interventions (1991-2011), and their association will be studied with appropriate multivariate methods.

WP4 – Built Environment

Page 13: Giulia Melis - research and paper proposals for WG2

Diapositiva 13 di 15 Madrid, 16/12/2013

1971   2001    

1991  1981  

emigra.on  

death   emigra.on  

death   emigra.on  death  

birth  immigra.on  

birth  immigra.on  

birth  immigra.on  

Causes  of  death   Cancer    incidence  

Hospitaliza.on  

Diabetes  Drug  prescrip.ons  

birth  immigra.on  

emigra.on  death  

Neighbourhood renewal interventions

Page 14: Giulia Melis - research and paper proposals for WG2

Diapositiva 14 di 15 Madrid, 16/12/2013

Mapping…

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Diapositiva 15 di 15 Madrid, 16/12/2013

Covariates     Period  of  availability   Source    Ageing  index   1971-­‐2011   TLS  Func.onal  mix   1995  and  updates   Geoportale  Comune  di  Torino  F u n c . o n a l   i n t e g r a . o n   –  commercial  ac.vi.es  

2005   Geoportale  Comune  di  Torino  

Public  spaces  –  pedestrian  areas   2011-­‐2013   Geoportale  Comune  di  Torino  Public  spaces  –  Green  areas   2005   Geoportale  Comune  di  Torino  Public  services  –  Sport  facili.es   2012   Geoportale  Comune  di  Torino  Public  services  –  Free  .me  facili.es   2011-­‐2013   Geoportale  Comune  di  Torino  

Public  services  –  Educa.on  facili.es   2011-­‐2013   Geoportale  Comune  di  Torino  

Mobility  –  Public  transport   2011-­‐2013   Geoportale  Comune  di  Torino  Depriva.on  index   1981   –   1991   –   2001  

(2011)  TLS  (census)  

Segrega.on  index*   1981   –   1991   –   2001    (2011)  

TLS  (census)  

Gentrifica.on   index   (educa.onal  aMainment)  

1971-­‐2011   TLS   (populaAon   and   family  registry)  

Residen.al  mobility  index   1971-­‐2011   TLS   (populaAon   and   family  registry)  

Migra.on  density  index   1971-­‐2011   ( popu l aAon   and   f am i l y  registry)  

Urban  disorder   2008-­‐2011   CruscoEo  (AMIAT  –  Torino  Police  registry)  

Street  crimes   2008-­‐2011   CruscoEo  (Police  registry)  Noise  pollu.on   2007     ARPA  Piemonte  Air  pollu.on     2012   ARPA  Piemonte  All  causes  mortality   1971-­‐2011   TLS  (ISTAT)  Cause   specific     mortality   (f.i.  mortality  for  myocardial  infarc.on)  

1971-­‐2011   TLS  (ISTAT)  

Cause   specific   morbidity   (f.i.  mortality  for  myocardial   infarc.on,  or   hospital   admission   for   asthma)  (proxy:   first   hospital   admission   for  the  disease)  

1996-­‐2011   TLS   (hosp i ta l   admiss ion  registry)  

Mental   health:   drug   consump.on  (anxioly.c  and  an.depressant)  

2001-­‐2012   TLS   (GP   drug   prescripAon  registry)  

Road   accidents:   ambulance   call   for  trauma  

2002-­‐2011   EmUr  registry  

First  set  of  indicators  iden.fied