Spatial Services


Analysis of emotions for a deeper understanding

As a sensor, humans perceive their environment and react to environmental influences that trigger stress and emotions. Individual perceptions can be measured on one hand in the form of stress or emotions with body sensors and on the other hand through the analysis of social media. This allows urban areas to be analyzed, for example, to identify stress and relaxation points, to determine the safety of the mobility infrastructure, or to assess cycling and pedestrian friendliness.

We offer comprehensive support in the field of Urban Emotions for Smart Cities

  • Capture the interaction between human, environment and mobility space
  • Identify hot spots (stress spots) and cold spots as a basis for traffic planning and urban planning
  • Defuse dangerous ways and use the method for accident prevention
  • Use body sensors for the before-and-after evaluation of measures in the transport infrastructure
  • Put the human being at the center of your planning project.

Measurements from human sensors provide a valuable basis for the planning and implementation of future planning strategies and concrete measures.


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Identification of urban stress points:

  • Detection of stressful traffic points, e.g. in the cycling network or in traffic
  • Delicate analysis of accessibility

Evaluation of urban planning measures:

  • Before and after analyzes to evaluate the effectiveness of measures
  • Support of strategy and measures development in urban planning
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Urban Emotions: You want to know more?

How safe is the urban mobility infrastructure?

In road traffic, there are always dangerous situations – with or without an accident – which often causes changes in the urban mobility infrastructure. Human factors are used to identify infrastructure-related hazards. Stress situations, anxiety sensations or points of relaxation can be identified and integrated as a basis for decision-making in urban and mobility planning.

Intelligent data and traffic systems

Human sensors pursue the basic goal of citizen-centered urban and mobility planning through the use of subjective information about the individual perception of the city. So small-scale, local conditions can be examined, but also large-scale evaluations in most different contexts (security perception, evaluation of the traffic infrastructure, evaluation of urban planning measures, barrier-free planning, etc.) can be carried out. Furthermore, this service can be offered anywhere in any city, because no specific localized (geo-) database needs to be available.

By providing standardized GIS layers, human sensors enable the analysis results to be used directly in planning processes. As a result, direct knowledge transfer with a corresponding social impact can be assumed.