This page has only limited features, please log in for full access.

Ms. Maša Avakumović
Researcher

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Data Science
0 Numerical Analysis
0 Optimisation
0 Decision support system
0 Mathemathical modeling

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

Maša studied at the University of Zagreb and Ghent University and holds an M.Sc. in Applied Mathematics. During her studies she successfully completed an internship as Data Scientist at a leading telematic solutions company in London. After her graduation, Maša worked as IT Business Consultant in the private sector. She then worked as Research Associate at the Logistics Department at the Helmut Schmidt University of the Federal Armed Forces in Hamburg, before joining the City Science Lab in October 2019. Her research focus lies on strategic planning and developing decision support systems.

Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 18 August 2021 in Sustainability
Reads 0
Downloads 0

Pedestrian activity is a cornerstone for urban sustainability, with key implications for the environment, public health, social cohesion, and the local economy. Therefore, city planners, urban designers, and decision-makers require tools to predict pedestrian mobility and assess the walkability of existing or planned urban environments. For this purpose, diverse approaches have been used to analyze different inputs such as the street network configuration, density, land use mix, and the location of certain amenities. This paper focuses on the location of urban amenities as key elements for pedestrian flow prediction, and, therefore, for the success of public spaces in terms of the social life of city neighborhoods. Using agent-based modeling (ABM) and land use floor space data, this study builds a pedestrian flow model, which is applied to both existing and planned areas in the inner city of Hamburg, Germany. The pedestrian flows predicted in the planned area inform the ongoing design and planning process. The flows simulated in the existing area are compared against real-world pedestrian activity data for external validation to report the model accuracy. The results show that pedestrian flow intensity correlates to the density and diversity of amenities, among other KPIs. These correlations validate our approach and also quantify it with measurable indicators.

ACS Style

Jesús López Baeza; José Carpio-Pinedo; Julia Sievert; André Landwehr; Philipp Preuner; Katharina Borgmann; Maša Avakumović; Aleksandra Weissbach; Jürgen Bruns-Berentelg; Jörg Rainer Noennig. Modeling Pedestrian Flows: Agent-Based Simulations of Pedestrian Activity for Land Use Distributions in Urban Developments. Sustainability 2021, 13, 9268 .

AMA Style

Jesús López Baeza, José Carpio-Pinedo, Julia Sievert, André Landwehr, Philipp Preuner, Katharina Borgmann, Maša Avakumović, Aleksandra Weissbach, Jürgen Bruns-Berentelg, Jörg Rainer Noennig. Modeling Pedestrian Flows: Agent-Based Simulations of Pedestrian Activity for Land Use Distributions in Urban Developments. Sustainability. 2021; 13 (16):9268.

Chicago/Turabian Style

Jesús López Baeza; José Carpio-Pinedo; Julia Sievert; André Landwehr; Philipp Preuner; Katharina Borgmann; Maša Avakumović; Aleksandra Weissbach; Jürgen Bruns-Berentelg; Jörg Rainer Noennig. 2021. "Modeling Pedestrian Flows: Agent-Based Simulations of Pedestrian Activity for Land Use Distributions in Urban Developments." Sustainability 13, no. 16: 9268.