HCPM – Health-Centered Planning Matrix

The proposed HCPM leverage the know-how of the master planning methodology (Goals Driven Planning Matrix – GDPM) based on: (a) systematic development of master-planning design brief with the required city functions; (b) Urban components Interaction matrix that identifies all synergies in planning, and (c) Cost dependence matrix utilizing synergies among BG and infrastructure to decrease costs. (ENPL)


This technology is based on building up the HCPM model by connecting the results of multiple project phases to achieve a “matching” between the collected data (environmental and urban green space data) with the medical data (provided either by professional or personal measurements). The HCPM model includes non-linear relationships on how green urban interventions, environmental factors affect individuals’ health including mental health, and also associate them with phycological aspects. The HCPM multi-variable matrix of the non-linear relationships is constructed with the aid of AI tools and architectures. The purpose of the AI-based data analysis is to relate the environmental and BG factors with individuals’ disease as the ones supported by HEART. 


  • Identification of potentials for the HEART interventions from HCPM Targets,
  • understanding the interconnection of functional interactions between urban components,
  • introducing innovative planning criteria,
  • applying Business activation module,
  • associating the particular impact of each BGS on human’s health and (5) building the final HCPM model used for clinical validation in real-life settings
Technology owner

ENPLUS, Imperial College London

Country of origin

Serbia, UK

Field of Impact

Planning Technology


TRL5 - Technology Development

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