A physiology-inspired framework for holistic city simulations

Meta, Irene; Cucchietti, Fernando M.; Navarro, D.; Graells-Garrido, Eduardo; Guallart, Vicente

doi:10.1016/j.cities.2021.103553

Cited by 8 publications

(7 citation statements)

References 39 publications

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“…Furthermore, the proposed method requires little data (a single day of mobile phone data, as in the case study) and supports incorporating domain knowledge or any other data source that can be expressed as a matrix. This is one of the main strengths of the proposed method, as the demand for frameworks to fuse data from a multidisciplinary perspective is increasing (Graells-Garrido et al, 2020;Meta et al, 2022).…”

Section: Discussionmentioning

confidence: 97%

A Generalisable Data Fusion Framework to Infer Mode of Transport Using Mobile Phone Data

Graells-Garrido¹,

Opitz²,

Rowe³

2022

Preprint

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Cities often lack up-to-date data analytics to evaluate and implement transport planning interventions to achieve sustainability goals, as traditional data sources are expensive, infrequent, and su er from data latency. Mobile phone data provide an inexpensive source of geospatial information to capture human mobility at unprecedented geographic and temporal granularity. This paper proposes a method to estimate updated mode of transportation usage in a city, with novel usage of mobile phone application traces to infer previously hard to detect modes, such as bikes and ride-hailing/taxi. By using data fusion and matrix factorisation, we integrate socioeconomic and demographic attributes of the local resident population into the model. We tested the method in a case study of Santiago (Chile), and found that changes from 2012 to 2020 in mode of transportation inferred by the method are coherent with expectations from domain knowledge and the literature, such as ride-hailing trips replacing mass transport.

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Section: Discussionmentioning

confidence: 97%

A Generalisable Data Fusion Framework to Infer Mode of Transport Using Mobile Phone Data

Graells-Garrido¹,

Opitz²,

Rowe³

2022

Preprint

Self Cite

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“…Cities are the foci of economic growth and urban transformation [27]. However, due to urbanisation, and ongoing population growth, cities are notorious for the excessive demand of urban resources and services such as water, energy, health, food, logistics, infrastructure, sanitation, education [28]. Excessive urban resources-based consumption results in the consequential emission of toxic waste into the biosphere; in turn igniting and escalating global climate change challenges [29].…”

Section: E An Integrated Digital Twin For City Resourcesmentioning

confidence: 99%

“…With expected global urban population escalating by 67% by 2050, and the role played by urban residents as agents; pursuing the urban sustainability agenda is rapidly becoming more complex [30]. This dynamic interactive manner of diverse urban agents domiciled in cities results in the complexity of cities as entire systems; further threatening the feasibility to accurately predict resources consumption, with an aim to derive valuable knowledge for accurate pursuance of the sustainable urban agenda [28].…”

Section: E An Integrated Digital Twin For City Resourcesmentioning

confidence: 99%

“…The city anatomy comprises of essential layers to enable flows in and out of a city, such as: water cycle, communication network, energy cycle, mobility network, matter cycle, nature, environment, society, built domain, logistics, food, transport, and health. The terminologies "layer" and "subsystem" are used interchangeably [28]. Represented by digital twin, virtual cities are essential tools to define the layers that comprise a city; capture heterogeneous needs of urban citizenry via collaborative planning; tackle the urban complexity by modelling complex processes and dependencies among individual layers [31].…”

Section: E An Integrated Digital Twin For City Resourcesmentioning

confidence: 99%

“…Represented by digital twin, virtual cities are essential tools to define the layers that comprise a city; capture heterogeneous needs of urban citizenry via collaborative planning; tackle the urban complexity by modelling complex processes and dependencies among individual layers [31]. However, evidence lacks on how each layer interacts with others [28]. Further, most modelling attempts by urban scholars are either siloed in their manner of approach or partially coupled [27].…”

Section: E An Integrated Digital Twin For City Resourcesmentioning

confidence: 99%

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Report on the E-TEMS 2023 Doctoral Workshop

Kaiser,

Ntanda,

Beck

et al. 2023

2023 IEEE European Technology and Engineering Management Summit (E-Tems)

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The doctoral workshop is a crucial element of the IEEE E-TEMS conference series, aiming to engage researchers in the early stages of their research work. This report discusses the implementation of the workshop in 2023, which was the first on-site workshop in the conference series. The submitted and presented research projects are presented, addressing the following topics: "Restorative Social Justice through Digital Transformation in South African Metropolitan Cities", "Understanding the Future Role of Energy Communities in Renewable System Integration", "Developing a framework for analysis of Virtual District Models for planning and operation of district energy systems", "Digital twins to improve Social Sustainability in Smart Cities", "An integrated digital twin for city resources consumption optimisation", and "Automated Technology adoption to accelerate technology adoption". These thematic areas provide a foundation for collaborative discussions and knowledge exchange among the workshop participants, fostering interdisciplinary exploration and potential synergies. At the end, all participants give a short reflection on their experience of the workshop.

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