Portable - trackable methodologies for measuring personal and place exposure to nuisances in urban environments: Towards a people oriented paradigm

Schnell, Izhak; Cohen, Pninit; Mandelmilch, Moshe; Potchter, Oded

doi:10.1016/j.compenvurbsys.2020.101589

Cited by 14 publications

(5 citation statements)

References 54 publications

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“…Small habitual changes, such as dimming room lights more often, in combination with physical activity patterns and search terms like 'loneliness' predicted depressive moods. This fits well with recent conceptual work (topdown perspective) calling for an integration of place-and people-oriented data collection [53], dynamically across time [54], and integrated with social, behavioral and health data (socio-semantic dimension; [55]). Adopting a bottom-up perspective, choosing the appropriate environmental feature can be subdivided into four layers [56], reaching from the choice of sensors (e.g., GPS), over the choice of lower-level features for assessment (e.g., location type), to higher-level behavioral markers (e.g., stress level), all feeding into models of clinical states such as depression or anxiety.…”

Section: Integration Of Environmental Factors Associated With Mental ...supporting

confidence: 82%

Closing the loop between environment, brain and mental health: how far we might go in real-life assessments?

Lehmler,

Siehl,

Kjelkenes

et al. 2024

Current Opinion in Psychiatry

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Purpose of review Environmental factors such as climate, urbanicity, and exposure to nature are becoming increasingly important influencers of mental health. Incorporating data gathered from real-life contexts holds promise to substantially enhance laboratory experiments by providing a more comprehensive understanding of everyday behaviors in natural environments. We provide an up-to-date review of current technological and methodological developments in mental health assessments, neuroimaging and environmental sensing. Recent findings Mental health research progressed in recent years towards integrating tools, such as smartphone based mental health assessments or mobile neuroimaging, allowing just-in-time daily assessments. Moreover, they are increasingly enriched by dynamic measurements of the environment, which are already being integrated with mental health assessments. To ensure ecological validity and accuracy it is crucial to capture environmental data with a high spatio-temporal granularity. Simultaneously, as a supplement to experimentally controlled conditions, there is a need for a better understanding of cognition in daily life, particularly regarding our brain's responses in natural settings. Summary The presented overview on the developments and feasibility of “real-life” approaches for mental health and brain research and their potential to identify relationships along the mental health-environment-brain axis informs strategies for real-life individual and dynamic assessments.

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Section: Integration Of Environmental Factors Associated With Mental ...supporting

confidence: 82%

Closing the loop between environment, brain and mental health: how far we might go in real-life assessments?

Lehmler,

Siehl,

Kjelkenes

et al. 2024

Current Opinion in Psychiatry

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show abstract

“…Portable sensing may mitigate these methodological problems (Park & Kwan, 2017;Schnell et al, 2021 in this special issue) and even enhance the quality of the data. In the field of environmental health, it has been suggested that dynamic approaches focusing on the duration, sequence, and accumulation of exposures reduce exposure misclassification problems (Helbich, 2018), while allowing longer periods of exposure monitoring (Loh et al, 2017).…”

Section: Overcoming Methodological Concerns Regarding the Environment...mentioning

confidence: 99%

“…Finally, other more niche sensors are becoming increasingly available. Such sensors include devices that monitor parameters of the ambient environment (e.g., air quality, noise) (Ma, Rao, Kwan, & Chai, 2020;Schnell, Cohen, Mandelmilch, & Potchter, 2021 in this special issue; Zhang, Zhou, Kwan, Su, & Lu, 2020) and more unique physiological sensors such as mobile electroencephalograms to capture brain activity data while moving through a city (Aspinall, Mavros, Coyne, & Roe, 2015;Lin et al, 2020;Mavros, Austwick, & Smith, 2016). These types of sensors are not likely to be adopted by the masses, but they are becoming increasingly more affordable and more user-friendly, which makes their implementation in research more feasible.…”

Section: Technological Opportunities and Availabilitymentioning

confidence: 99%

Advances in portable sensing for urban environments: Understanding cities from a mobility perspective

Birenboim

Helbich

Kwan

2021

Computers, Environment and Urban Systems

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Portable sensing, in which lightweight mobile sensors are used to measure stimuli, events, and human behavior, is a new and disruptive data collection paradigm. It has several methodological advantages compared to traditional methods and is suitable for investigating the dynamism of increasingly mobile and urban societies. In this article, we discuss the motivations behind the use of portable sensing and reflect upon the advances, limitations, and future of the field. Although portable sensing is still in its infancy, we foresee that its utilization will grow in the coming years. For portable sensing to become a prevalent and legitimate methodological approach, it is essential to have conceptually strong study designs that are grounded in suitable ethical procedures and comply with data protection regulations.

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“…For this reason, the topics of green development, green economy, and green innovation development have been discussed intensively in the academic field [3]. Among them, the new urbanization (green urbanization), which pays more attention to aspects such as the level of urban public services, the quality of the ecological environment [4], and people-orientation [5], has become the guiding principle in China [6]. Green innovation, which measures the quality of green development and innovation capabilities, has been rapidly developed, enriched, and studied in-depth in multiple dimensions [7,8].…”

Section: Introductionmentioning

confidence: 99%

Can Green Innovation and New Urbanization Be Synergistic Development? Empirical Evidence from Yangtze River Delta City Group in China

Hong

Chen

et al. 2022

Sustainability

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Green innovation has become the mainstream of the era, and new urbanization is an inevitable choice in China’s urbanization development. Focusing on the topics of green innovation and new urbanization, much work has been done to analyze their influencing factors separately, while the relationship between the two remains to be explored. This paper selects the representative indicators to study the new urbanization and green innovation of the Yangtze River Delta city group from the perspective of the whole and individual cities, in terms of spatiotemporal evolution traits, by using the SBM, entropy method, coupling model, spatial econometric and geographical detector. The results reveal the following: (1) there is a synergistic effect between green innovation and new urbanization development, and the role has been increasing; (2) green innovation and new urbanization present positive spatial autocorrelation and regional agglomeration; (3) in the detection of driving factors, economic development > social conditions > natural resources; most groups (40/66) of factor interactions present nonlinear enhancement, and the digital economy factor accounts for the largest proportion. Finally, according to the findings, we offer a suggestion and a conclusion.

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Portable - trackable methodologies for measuring personal and place exposure to nuisances in urban environments: Towards a people oriented paradigm

Cited by 14 publications

References 54 publications

Closing the loop between environment, brain and mental health: how far we might go in real-life assessments?

Closing the loop between environment, brain and mental health: how far we might go in real-life assessments?

Advances in portable sensing for urban environments: Understanding cities from a mobility perspective

Can Green Innovation and New Urbanization Be Synergistic Development? Empirical Evidence from Yangtze River Delta City Group in China

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