Sep 08

Peter Zeile, Antônio Nélson Rodrigues da Silva, Georgios Papastefanou, Fabíola de Oliveira Aguiar, Benjamin Sebastian Bergner

Ein Konferenzbeitrag auf der diesjährigen CUPUM(Computers in Urban Planning and Urban Management) in Kanada der Fachgebiete CPE (TU Kaiserslautern) in Zusammenarbeit mit der Universität Estadual Do Maranhão in Bazilien und dem GESIS Leibniz Institute für Sozialwissenschaften in Mannheim zum Smart Sensoring zur Unterstützung des barrierefreien Planens.

As more and more people face mobility constraints due to the natural aging process of the population, barrier-free-planning becomes an important urban planning issue. There are two different research approaches for integrating these needs in an objective, bottom-up and sensor based planning process. A core element is the use of the ambulatory assessment methods in combination with GPS-sensor data. The result is a planning instrument for identifying and optimizing city spatial barriers for handicapped people. This “bottom-up-approach” is based on research fields of barrier-specified city planning, subjective well-being and the field of emotional research. It is elemental to know the place of spatial barriers associated with the negative emotion – the “stress” of probands. To achieve this, the new method of psycho-physiological monitoring is utilized in two projects, using a special technical device to measure autonomic bodily functions as indicators for emotions – the Smartband. The first project, named EmbaGIS (Emotional-Barrier-GIS), aims at the measurement of the emotional component of handicapped people (two target groups: users with visual and walking troubles) in the context of barriers, geo- and time located in a GI-System. The result is a psycho-physiological monitoring, which can help to identify city spatial barriers in a personal view of handicapped people. The objective of the second project is to formulate an evaluation model for mapping the relative accessibility of pedestrians’ pathways, in which the potential mobility conditions of particular users groups were taken into account. The proposed model is initially based on a multicriteria evaluation, which is subsequently adjusted to show levels of relative accessibility. The method was applied in two university campuses, and one of the validation processes was based on field results obtained with the Smartband. The main characteristics of both projects are presented and their outcomes are thoroughly discussed in the paper.

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