Technologist staff in the field of Urban Complex Systems of the CoSIN3 studies - Research Program.

Updated: over 1 year ago
Job Type: FullTime
Deadline: 29 Sep 2022

Technological staff (University degree or equivalent): Develop, within their field of knowledge, management tasks of work teams, valorization and transfer of knowledge, formulation of technological initiatives and innovation or study, application of new techniques or advanced methodologies, management or supervision of scientific or technical facilities.

Project data:

Line/field of research: Complex urban systems

Project Research Group: Complex Systems @ IN3 (CoSIN3)

Principal Investigator of the Project: Javier Borge Holthoefer

The transformation towards sustainable mobility has become a strategic priority for local governments, and Barcelona is no exception. The leading cities in this process have entrenched themselves in models of sustainable urban planning, faithful to a long urban tradition --which elevates public space as a fundamental substrate of the social fabric-- and in the United Nations 2030 agenda.

Local authorities often consider street calming processes, not only for sustainable mobility and a fairer redistribution of space, but also to develop new social spaces; revitalize local commerce, entrepreneurship and new activities in the urban fabric. With these challenges in sight, what data supports each action? What streets need to be pacified? What areas present anomalous pedestrian flows?

In this context, CoSIN3 addresses the analysis of public space to detect gaps by exploiting GIS information on walkable space and real data on pedestrian dynamics to: (a) build detailed pedestrian mobility origin-destination matrices; (b) estimate pedestrian flows at sidewalk level; finally (c) to be able to measure the efficiency of the sidewalk network considering the pedestrian demand and (d) to quantify the potential for socioeconomic interaction at a local scale.

Functions:

  • Analysis and modeling of urban mobility on foot.
  • Calculation of basic and advanced statistics on the evolution of urban mobility on foot.
  • Analysis of the effect of urban actions to improve mobility on foot.
  • Analysis of urban mobility networks using complex network models and techniques.
  • Adaptation of network centrality measures for the study of mobility on foot.


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