Optional and necessary activities: operationalising Jan Gehl's analysis of urban space with Foursquare data

Cerrone, Damiano; Baeza, Jesús López; Lehtovuori, Panu

doi:10.1504/ijkbd.2020.106836

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Activity patterns are analyzed through the visible content of publicly shared social media images. To do so, we are using the "activity wheel", which extends Gehl's dual system of necessary and optional to all its quantifiable and measurable components, unifying his work in these different approaches into one simple set of categories to map activity patterns [49]. Activities were mapped by trained researchers by manually assigning tags to a randomized sample of 45,000 social media pictures from the 32 Russian monotowns based on the activities they can recognize in one of them.…”

Section: Whatmentioning

confidence: 99%

Implementing Gehl’s Theory to Study Urban Space. The Case of Monotowns

et al. 2021

Self Cite

View full text Add to dashboard Cite

The paper presents a method to operationalize Jan Gehl’s questions for public space into metrics to map Russian monotowns’ urban life in 2017. With the use of social media data, it becomes possible to scale Gehl’s approach from the survey of small urban areas to the analysis of entire cities while maintaining the human scale’s resolution. When underperforming public spaces are detected, we propose a matrix for urban design interventions using Jane Jacobs’ typologies for good city life. Furthermore, this method was deployed to improve the conditions of public spaces in Russian monotowns through a series of architectural briefs for design competitions and urban design guidelines for local administrations.

show abstract

Section: Whatmentioning

confidence: 99%

Implementing Gehl’s Theory to Study Urban Space. The Case of Monotowns

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Foursquare API was helpful for the research in finding existing Foursquare places in the municipal territory, which includes most of the commercial activities and public services. Thus, this layer enriches the socio-economic information, providing a quantitative parameter (number of check-ins) to measure popularity, in relation to the community of Foursquare users [53].…”

Section: Mappingmentioning

confidence: 99%

Indicators as Mediators for Environmental Decision Making: The Case Study of Alessandria

Battisti

Valese

Natta

2022

Land

View full text Add to dashboard Cite

The design of urban public open spaces plays a key role in the development of micro-scale reactions to global phenomena (pandemic, climate change, etc.) that are currently reshaping the human habitat. Their transformability and healthy influence on the urban environment make them strategic nodes for acupunctural regeneration with systemic effects. Several methods, models, and indicators have been developed to face the complexity of these spaces, made up of tangible and intangible layers; however, there is a gap between theoretical investigation and the need for public administrations to devise feasible solutions, strategies, and guidelines. The paper focuses on this mediation, presenting, as a case study, an adopted methodology and the first results achieved according to guidelines for the regeneration of the system of squares in the historical center of Alessandria (Piedmont, Italy). In this case, a multidisciplinary approach and a Multi-Criteria Analysis (MCA) method, supported by geospatial analysis and GIS technology, have been employed to work as mediators for a participatory process which will involve public administration, stakeholders, experts, and researchers. The paper presents an overview of the workflow, with a focus on the first set of thematic indicators and an open conclusion. It will explain how they have been defined, integrated, and turned into a dialogic tool, with the aim of laying the foundation for the next stage of involvement by the public administration and stakeholders. Specific attention will be paid to the key role of vegetational and environmental parameters, which represents the requalification strategy’s backbone, for both local and systemic scales.

show abstract

“…e computer can analyze the typical features in the data and apply them to the automated design process, resulting in a batch output that meets business needs [6]. is new design paradigm places new demands on designers and challenges designing research and computer technology.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Image Interaction-Based Software Infrastructure for Graphic Design Research and Implementation

Chu

2022

Scientific Programming

View full text Add to dashboard Cite

This article constructs and studies a graphic design software model based on data-driven image interactions. The semantic information of image interaction is integrated into the framework of the augmented reality label placement algorithm. A new feature map, Guidance Map, is proposed to combine image saliency information with semantic information in the task scenario, accurately describing the importance of different regions in the user’s field of view to derive a more reasonable label placement strategy. This database is different from other label placement algorithms that only use data-driven saliency detection. This paper proposes a data-driven augmented reality labeling method, which first presents the design requirements for augmented reality scene labeling placement, then designs the energy function for augmented reality scene characteristics, transforms the labeling placement problem into an optimization problem, and solves it. This paper proposes a feature representation form oriented to pixels, elements, interelement relationships, planes, and applications and quantifies the geometric features, perceptual features, and stylistic features in them. The model can fit the probability density distribution of the parts to predict the optimal element placement and element color under the target conditions.

show abstract

Optional and necessary activities: operationalising Jan Gehl's analysis of urban space with Foursquare data

Cited by 4 publications

References 0 publications

Implementing Gehl’s Theory to Study Urban Space. The Case of Monotowns

Implementing Gehl’s Theory to Study Urban Space. The Case of Monotowns

Indicators as Mediators for Environmental Decision Making: The Case Study of Alessandria

Data-Driven Image Interaction-Based Software Infrastructure for Graphic Design Research and Implementation

Contact Info

Product

Resources

About