Psychogeographie

Die epidemiologische Forschung in der Psychiatrie der letzten Jahrzehnte hat klare Anhaltspunkte für Umweltrisikofaktoren für psychische Krankheiten wie affektive Störungen (u.a. Depression), Angst- und Abhängigkeitsstörungen ergeben, die stark mit Merkmalen der Lebenswelt zusammenhängen. In diesem Forschungsprojekt sollen Geodaten erhoben und Karten erstellt werden, die Faktoren mit potentieller Relevanz für die psychische Gesundheit in Abhängigkeit von der Urbanität (Städtischer Stress) darstellen.

Um Zusammenhänge zwischen entsprechenden Krankheiten und Sozial- und Umweltfaktoren genauer raumbezogen analysieren zu können, müssen heterogene räumliche Daten aus öffentlichen, privaten und crowdsourcing-Quellen erhoben und integriert werden. Ziel ist eine homogene räumliche Datenbank mit den relevanten Attributen für Umwelt (z.B. Lärm, Luftqualität, Grünflächen) und sozioökonomische (z.B. Bevölkerungsdichte, Lärm, Kriminalität, Migrations- und Arbeitslosenquote) Faktoren. Hierfür müssen die heterogenen räumlichen und statistischen Informationen aus den unterschiedlichen Datenquellen (lokale Administration, privater Sektor, akademisch, Crowdsourcing) georeferenziert, geokodiert, qualitätskontrolliert und transformiert werden und in ein gemeinsames räumliches Referenzsystem projiziert werden. Dies liefert eine homogene Geodatenbank sowohl für Rohdaten als auch für abgeleitete Indikatoren mit der maximalen Konsistenz und Genauigkeit für die Studienregion Rhein-Neckar-Kreis, Mannheim, Heidelberg und Ludwigshafen.

Die Effekte der Risikofaktoren auf die Entwicklung psychischer Erkrankungen werden dann im Projekt auf dieser Datenbasis berechnet und mit Probandendaten, die von den Projektpartnern anhand von Fragebögen erfasst werden, räumlich korreliert.

Ausgewählte Publicationen:
News
10.07.2017 07:39
Reducing stress by avoiding noise with ‘Quiet Routing’ in OpenRouteService

Noise pollution is a growing problem in many urban environments, affecting citizens’ daily life. It can reduce citizens’ happiness, increase their stress, and even people them get sick if they are exposed to noise pollution for a long period of time. In recent studies we investigate the use of crowdsourced data to derive noise polluted [...]

03.07.2017 12:54
Introducing Healthy Routing preferring Green Areas with OpenRouteService

Research in psychology and public health shows that there are environmental factors that cause an area to impose more or less stress to a person. One example is that being surrounded by natural green areas (meadows, parks, trees and forests etc. or also blue water areas) has a relaxing influence to the mood of a [...]

13.12.2016 07:35
Location-based sampling strategies for GPS-triggered electronic diaries

Self-reporting is a well-established approach within the medical and psychological sciences. In order to avoid recall bias, i.e. past events being remembered inaccurately, the reports can be filled out on a smartphone in real-time and in the natural environment. This is often referred to as ambulatory assessment and the reports are usually triggered at [...]

04.06.2016 16:24
Results on PsychoGeography published

Recently some more publications have been accepted or have been published online that present some further results from our joint project on Psychogeography together with our partners from ZI Mannheim and KIT: In particular the following overview paper about the project is now available as free pdf online: Reichert, M., Törnros, T., Hoell, A., Dorn, H., Tost, [...]

28.04.2016 22:29
Mapping of environmental risk factors in everyday life

Psychiatric research is increasingly interested in the influence of social and environmental contexts on human health. According to recent findings, specific impacts of urban upbringing on neural social stress processing relate to the heightened prevalence of mental disorders in cities. Although this is a major societal problem, it remains unknown which environmental components (e.g., psychosocial stressors, air [...]

11.09.2015 10:31
Psychogeography project on SWR Television

Yesterday’s episode of the SWR TV program Odysso - Wissen im SWR was titled “Stadt, Land, Flucht! - Wo lebt es sich am besten?”. It focused on the relation between the environments and stress and gives insights to the Psychogeography project, a cooperation between the Central Institute of Mental Health (ZI) Mannheim, the Karlsruhe [...]

17.06.2015 19:49
TV report on PsychoGeoinformatics (MakingOf)

Yesterday a team from SWR television visited the GIScience group Heidelberg to shoot a movie for a TV report about our joint work on investigating and modeling the relationship between environmental or socio-demographic characteristics of a region and mental stress in urban areas. The PsychoGeography project is conducted together with the Psychoepidemiologisches Zentrum (PEZ) at [...]

09.02.2015 09:42
PsychoGeography Project on Television

During the last decades, the epidemiological research has given indications that mental diseases can be related to socio-economic, as well as to environmental risk factors. In cooperation between the newly founded Psychiatric-Epidemiological Centrum (PEZ) at the Central Institute of Mental Health in Mannheim, the GIScience Research Group (Heidelberg University) and the Karlsruhe Institute of Technology [...]

16.01.2014 13:33
Do Cities makes us (mentally) ill?

this is a bit of a provoking question - but if you want - this is a very shortened version of one of the research questions in a new project on Psychogeography together with the Central Institute for Mental Health (ZI) in Mannheim and other parters. It looks into the relationship between stress, mental health [...]

04.08.2013 10:10
Do cities make us ill? - new project on PsychoGeoinformatics

To what extend do urban environments put stress on mental health? And how can geographic information and analysis support in discovering the underlying relationships ? These are the core research questions of the new collaboration project “PsychoGeoinformatics”. The project has been accepted as a twinning project of the Center for Scientific Computing (IWR) at Heidelberg [...]

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