PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes

Uras, Marco; Cossu, Raimondo; Ferrara, Enrico; Liotta, Antonio; Atzori, Luigi

doi:10.1016/j.jclepro.2020.122084

Cited by 18 publications

(26 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To overcome this issue, several studies focus of passive Wi-Fi sensing technologies, through Wi-Fi probe requests, to collect human mobility information and infer mobility patterns [ 39 – 42 ]. Recently, the authors of [ 43 ] presented an attempt to localize crowds with Wi-Fi probes applying location fingerprinting interpolations from the received signal strength (RSSI) values from previously scanned indoor locations.…”

Section: Related Workmentioning

confidence: 99%

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience

Prandi

Nisi²,

Ribeiro³

et al. 2021

J Big Data

View full text Add to dashboard Cite

Tourism is one of the world’s largest industries fundamentally arising from mobility as a form of capital. In destination islands that have a delicate ecosystem to maintain, this source of income can become problematic in terms of sustainability. A difficulty in making people aware of this issue is also represented by the fact that such sustainability-related issues (and their causes) are often not “visible” to citizens. To foster awareness about the relationship between sustainability and tourism in well-known destinations, we design a platform that engages users at two levels of participation: i. at the IoT and sensors level, in order to let them becoming providers of big data, deploying and enlarging the pervasive infrastructure; ii. at the (big) data visualization level, with the aim of engaging them in making sense of large volumes of data related to sustainability. This paper presents the design and implementation of a real-world experience where a low-cost collaborative platform made it possible to sense and visualize tourist flows and urban data into a rich interactive map-based visualization, open to the local communities. We deployed our case study in the Madeira archipelago, engaging locals and visitors of the island in two exploratory studies focused on measuring the impact of providing users with meaningful representations of tourism flows and related unperceivable aspects that affect the environmental sustainability. Analysing the findings of the two studies, we discuss the potentiality of using such a system to make sense of big data, fostering awareness about sustainability issues, and we point to future open challenges about citizens’ participation in sensing and making sense of big data.

show abstract

Section: Related Workmentioning

confidence: 99%

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience

Prandi

Nisi²,

Ribeiro³

et al. 2021

J Big Data

View full text Add to dashboard Cite

show abstract

Section: Ib State Of the Artmentioning

confidence: 99%

“…The authors of [20] and [21] presented a crowd monitoring based on WiFi probe requests. Key differences with our work are that i) our estimator uses all detected probe requests whereas that of [21] filters out all locally administered MAC addresses [21,Sec. 4], ii) our system anonymizes MAC addresses in such a way that tracking is not possible (at least for more than one minute), in order to be out of GDPR, iii) our system uses SHA-256 hashing in conjunction with cryptographic peppers while the other work uses SHA-256 without peppers [21,Sec.…”

Section: Ib State Of the Artmentioning

confidence: 99%

“…Key differences with our work are that i) our estimator uses all detected probe requests whereas that of [21] filters out all locally administered MAC addresses [21,Sec. 4], ii) our system anonymizes MAC addresses in such a way that tracking is not possible (at least for more than one minute), in order to be out of GDPR, iii) our system uses SHA-256 hashing in conjunction with cryptographic peppers while the other work uses SHA-256 without peppers [21,Sec. 3.3], thereby making their anonymization procedure more vulnerable to brute force attacks [22][23][24], and iv) their system improves localization accuracy using Friis' formula [21,Sec.…”

Section: Ib State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

Monitoring Large Crowds With WiFi: A Privacy-Preserving Approach

Determe,

Azzagnuni,

Singh

et al. 2020

Preprint

View full text Add to dashboard Cite

This paper presents a crowd monitoring system based on the passive detection of probe requests. The system meets strict privacy requirements and is suited to monitoring events or buildings with a least a few hundreds of attendees. We present our counting process and an associated mathematical model. From this model, we derive a concentration inequality that highlights the accuracy of our crowd count estimator. Then, we describe our system. We present and discuss our sensor hardware, our computing system architecture, and an efficient implementation of our counting algorithm-as well as its space and time complexity. We also show how our system ensures the privacy of people in the monitored area. Finally, we validate our system using nine weeks of data from a public library endowed with a camera-based counting system, which generates counts against which we compare those of our counting system. This comparison empirically quantifies the accuracy of our counting system, thereby showing it to be suitable for monitoring public areas. Similarly, the concentration inequality provides a theoretical validation of the system.

show abstract

“…Today, around 50% of the world's population lives in cities. This figure is expected to rise up to 70% by 2050 [1]. To face this rapid growth, cities must be planned to harmonize the three pillars of sustainable development, namely economy, environment, and society [2].…”

Section: Introductionmentioning

confidence: 99%

Proposal of a Conceptual Model to Represent Urban-Industrial Systems from the Analysis of Existing Worldwide Experiences

Ruiz-Puente

2021

Sustainability

View full text Add to dashboard Cite

The adoption of Industrial Symbiosis (IS) practices within urban areas is gaining interest due to the environmental impacts entailed by the development of cities. However, there is still a lack of knowledge about how the relationships between industrial and urban areas can be modelled. In this context, this research aimed at posing a conceptual model to understand and represent Urban-Industrial Systems (UIS). To this end, a set of worldwide previous UIS experiences were overviewed to identify the agents, dynamics, and collaboration opportunities that characterize them. The multi-perspective analysis of these cases indicated that UIS are complex systems, which means that they are autonomous, self-organized, responsive, nonlinear, and willing to consolidate their resilience. As such, Agent-Based Models (ABM) were suggested to be the most suitable approach for their representation.

show abstract

PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes

Cited by 18 publications

References 14 publications

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience

Monitoring Large Crowds With WiFi: A Privacy-Preserving Approach

Proposal of a Conceptual Model to Represent Urban-Industrial Systems from the Analysis of Existing Worldwide Experiences

Contact Info

Product

Resources

About