Crowd Flow Analysis for Measuring the Impact of Urban Transformation Actions in City’s Heritage Areas

Elisei, Pietro and Drăghia, Miruna and Dane, Gamze and Onesciuc, Natalia (2020) Crowd Flow Analysis for Measuring the Impact of Urban Transformation Actions in City’s Heritage Areas. SHAPING URBAN CHANGE – Livable City Regions for the 21st Century. Proceedings of REAL CORP 2020, 25th International Conference on Urban Development, Regional Planning and Information Society. pp. 1065-1079. ISSN 2521-3938

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In the past years, cities have become more and more interested in shifting from the traditional ideology-based approach to an evidence-based process of policy and decision making. Subsequently, much attention has been given to new tools and technologies for enhancing data collection on the urban transformation practices. With the help of these new tools and technologies, big social, economic and spatial data are collected which allow a more accurate analysis of urban processes in order to create more livable, inclusive and attractive cities. This paper outlines a data-guided approach shaped by evidence for cultural-led urban regeneration in creative and knowledge cities, tested in the framework of a H2020-funded project (GA 730280), ROCK ( Its elementary concept is based on developing an innovative, collaborative and circular systemic approach for regeneration and adaptive reuse of historic city centres, transferring the circular economy model to the transformation process of urban historic environments. In this project, transformative actions such as adaptive reuse, temporary structures and events are used to transform public spaces and buildings that have heritage value. By these actions, it is aimed to increase the quality, raise awareness of people and attract more visitors to these places. This paper focuses on how the large-crowd location-based monitoring tool (LBA sense1) is contextualised in two of the Role Model Cities involved in the project: Cluj-Napoca (Romania) and Turin (Italy) in order to understand the impact of transformative actions in heritage districts. In a highly dynamic urban environment, people’s flow remain the only constant, expressing the lively dimension of changes in the urban fabric (M. Castells, 2000). The paper is based on a systematic analysis on data collected over time in the two cities, using a set of locally-deployed WiFi sensors and providing real-time insights on activity and mobility patterns within the monitored area. It highlights the accessibility dimension to specific contextual data on crowd flows (during ordinary days and extraordinary/ exceptionally events) in different CH locations in the city, related both to traditional heritage spots, as well as to the empty and underused spaces stock, as potential new locations for creative and cultural purposes. The method used follows an origin-destination matrix approach, aimed at comparing various crowd flows during different times in the two cities in relation to specific events/ happenings impacting the usual/ conventional use of space. Throughout the comparison, the paper showcases many similarities (such as situational-driven people movement between certain locations), despite the self-evident distinction ofhotspots spatial distribution within the two cities and the different urban planning and design background and culture. Finally, the analysis proposes a set of policy measures based on informed documentation of the actual use of the urban space during ordinary and extraordinary events impacting the urban environment.

Item Type: Article
Uncontrolled Keywords: Cultural heritage, urban transformation, data-driven knowledge, crowd monitoring, people flow analytics, sensor data
Subjects: D History General and Old World > D History (General)
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HE Transportation and Communications
H Social Sciences > HM Sociology
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Depositing User: REAL CORP Administrator
Date Deposited: 02 Feb 2021 10:35
Last Modified: 02 Feb 2021 10:35

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