Timo Haselhoff
Biographic Data
| ID | 6653628 |
|---|---|
| NAME | Timo Haselhoff |
| GIVEN NAMES | Timo |
| FAMILY NAME | Haselhoff |
| SIGNATURE | HASELHOFF T |
| AFFILIATIONS | University of Duisburg-Essen |
| ORCID | 0000-0001-7284-3734 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Co-occurrence network analysis of urban acoustic environments
The character of an urban acoustic environment does not arise from individual sounds in isolation, but from their complex interactions. Current source-focused approaches reduce acoustic environments to inventories of sounds, overlooking the relational patterns that shape them. Here, we introduce a graph-theoretical framework that shifts the focus from ‘what is present’ to ‘how it connects’, quantifying the co-occurrence structure of urban soundsc…
The Role of Traffic Volume on Sound Pressure Level Reduction before and during Covid-19 Lockdown Measures—A Case Study in Bochum, Germany
During the SARS-CoV-2 pandemic, sound pressure levels (SPL) decreased because of lockdown measures all over the world. This study aims to describe SPL changes over varying lockdown measure timeframes and estimate the role of traffic on SPL variations. To account for different COVID-19 lockdown measures, the timeframe during the pandemic was segmented into four phases. To analyze the association between a-weighted decibels (dB(A)) and lockdown pha…
Associations Between Built Environment Factors and Sars-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
COVID-19-related health outcomes displayed distinct geographical patterns within countries. The transmission of SARS-CoV-2 requires close spatial proximity of people, which can be influenced by the built environment. Only few studies have analysed SARS-CoV-2 infections related to the built environment within urban areas at a high spatial resolution. This study examined the association between built environment factors and SARS-CoV-2 infections in…
Analysing Interlinked Frequency Dynamics of the Urban Acoustic Environment
As sustainable metropolitan regions require more densely built-up areas, a comprehensive understanding of the urban acoustic environment (AE) is needed. However, comprehensive datasets of the urban AE and well-established research methods for the AE are scarce. Datasets of audio recordings tend to be large and require a lot of storage space as well as computationally expensive analyses. Thus, knowledge about the long-term urban AE is limited. In …
Impact of the Covid-19 Lockdown Measures on Noise Levels in Urban Areas—A Pre/during Comparison of Long-Term Sound Pressure Measurements in the Ruhr Area, Germany
Our results are in line with studies from European cities. Strikingly, all studies report noise reductions of about 5 dB. Aiming at a transformation to a health-promoting urban mobility can be a promising approach to mitigating health risks of noise in cities. Overall, the experiences currently generated by the pandemic offer data for best practices and policies for the development of healthy urban transportation-the effects of a lower traffic an…
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Impact of the Covid-19 Lockdown Measures on Noise Levels in Urban Areas—A Pre/during Comparison of Long-Term Sound Pressure Measurements in the Ruhr Area, Germany
Our results are in line with studies from European cities. Strikingly, all studies report noise reductions of about 5 dB. Aiming at a transformation to a health-promoting urban mobility can be a promising approach to mitigating health risks of noise in cities. Overall, the experiences currently generated by the pandemic offer data for best practices and policies for the development of healthy urban transportation-the effects of a lower traffic an…
Analysing Interlinked Frequency Dynamics of the Urban Acoustic Environment
As sustainable metropolitan regions require more densely built-up areas, a comprehensive understanding of the urban acoustic environment (AE) is needed. However, comprehensive datasets of the urban AE and well-established research methods for the AE are scarce. Datasets of audio recordings tend to be large and require a lot of storage space as well as computationally expensive analyses. Thus, knowledge about the long-term urban AE is limited. In …
The Role of Traffic Volume on Sound Pressure Level Reduction before and during Covid-19 Lockdown Measures—A Case Study in Bochum, Germany
During the SARS-CoV-2 pandemic, sound pressure levels (SPL) decreased because of lockdown measures all over the world. This study aims to describe SPL changes over varying lockdown measure timeframes and estimate the role of traffic on SPL variations. To account for different COVID-19 lockdown measures, the timeframe during the pandemic was segmented into four phases. To analyze the association between a-weighted decibels (dB(A)) and lockdown pha…
Associations Between Built Environment Factors and Sars-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany
COVID-19-related health outcomes displayed distinct geographical patterns within countries. The transmission of SARS-CoV-2 requires close spatial proximity of people, which can be influenced by the built environment. Only few studies have analysed SARS-CoV-2 infections related to the built environment within urban areas at a high spatial resolution. This study examined the association between built environment factors and SARS-CoV-2 infections in…
Co-occurrence network analysis of urban acoustic environments
The character of an urban acoustic environment does not arise from individual sounds in isolation, but from their complex interactions. Current source-focused approaches reduce acoustic environments to inventories of sounds, overlooking the relational patterns that shape them. Here, we introduce a graph-theoretical framework that shifts the focus from ‘what is present’ to ‘how it connects’, quantifying the co-occurrence structure of urban soundsc…
Noise Effects and Management (4 works) · Acoustic Wave Phenomena Research (3 works) · Computer Science (3 works) · Coronavirus disease 2019 (COVID-19 (3 works) · Geography (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Audiology (2 works) · Demography (2 works) · Demography (2 works)