The rhythm of risk
Exploring spatio-temporal patterns of urban vulnerability with ambulance calls data
Bibliographic Data
| ID | 21246945 |
|---|---|
| Authors | Mikhail Sirenko (0000-0003-4019-7816, Delft University of Technology, corresponding author), Tina Comes (0000-0002-8721-8314, Delft University of Technology), Alexander Verbraeck (0000-0002-1572-0997, Delft University of Technology) |
| Year | 2025 |
| Volume | 52 |
| Issue | 4 |
| Pages | 863-881 |
| Publication date | 2025-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083241272095 |
| OpenAlex | W4401593584 |
| Language | EN |
| Citations received | 1 |
| References cited | 35 |
Urban vulnerability is affected by changing patterns of hazards due to climate change, increasing inequalities, rapid urban growth and inadequate infrastructure. While we have a relatively good understanding of how urban vulnerability changes in space, we know relatively little about the temporal dynamics of urban vulnerability. This paper presents a framework to assess urban vulnerability over time and space to address this gap. We apply the framework to Amsterdam, Rotterdam, and The Hague, the Netherlands. Using high-resolution, anonymised ambulance calls and socio-economic, built environment, and proximity data, we identify three temporal patterns: ’Midday Peaks’, ’Early Birds’, and ’All-Day All-Night’. Each pattern represents a unique rhythm of risk arising from the interaction of people with diverse demographic and socio-economic backgrounds and the temporal flow of their daily activities within various urban environments. Our findings also highlight the polycentric nature of modern Dutch cities, where similar rhythms emerge in areas with varying population densities. Through these case studies, we demonstrate that our framework uncovers the spatio-temporal dynamics of urban vulnerability. These insights suggest that a more nuanced approach is necessary for assessing urban vulnerability and enhancing preparedness efforts
Computer security · Environmental planning · Environmental resource management · Geography · Political science · Population · Preparedness · Sociology · Computer Science · Demography · Environmental Science · Flood Risk Assessment and Management · Human Mobility and Location-Based Analysis · Urban Transport and Accessibility
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Local Indicators of Spatial Association—Lisa
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |