M.M.E. van Esch
Please Note
19 records found
1
Urban heat stress and health
A systematic literature review of dimensions and indicators for planning and design
Resilient Neighbourhoods in the Netherlands
An evidence-based blueprint for action
The building blocks of this language are so-called pedagogical patterns, which describe a specific (set of) instructional design principle(s) of a course or classroom setting. Each pattern is presented in a comparable way via a given template that asks for [i] a title, [ii] an illustration, [iii] a hypothesis or statement on the value this pattern brings, [iv] the evidence from teaching practice and/or the educational scientific knowledge supporting the pattern, [v] a brief description of practical implications when implementing or using the pattern, [vi] the relation to other patterns. Pedagogical patterns are not prescriptive; they show what educators could do pedagogically.
Our first pedagogical patterns are based on the teaching practices of our Delft Climate Action educators and focus on:
*citizen science approaches focusing on the adaptation of the urban area to the weather and climate of tomorrow.
*interdisciplinarity for climate adaptivity in urbanised delta regions, where students work for and with a local government or stakeholder related to urban heat, drought, air pollution, and flooding.
* entrepreneurship in the built environment, where students develop a design and entrepreneurial plan for a sustainability challenge.
* action research focusing on socio-spatial inequality, diversity, resilience, and well-being for a climate challenge in a collaborative way with practitioners and community members. ...
The building blocks of this language are so-called pedagogical patterns, which describe a specific (set of) instructional design principle(s) of a course or classroom setting. Each pattern is presented in a comparable way via a given template that asks for [i] a title, [ii] an illustration, [iii] a hypothesis or statement on the value this pattern brings, [iv] the evidence from teaching practice and/or the educational scientific knowledge supporting the pattern, [v] a brief description of practical implications when implementing or using the pattern, [vi] the relation to other patterns. Pedagogical patterns are not prescriptive; they show what educators could do pedagogically.
Our first pedagogical patterns are based on the teaching practices of our Delft Climate Action educators and focus on:
*citizen science approaches focusing on the adaptation of the urban area to the weather and climate of tomorrow.
*interdisciplinarity for climate adaptivity in urbanised delta regions, where students work for and with a local government or stakeholder related to urban heat, drought, air pollution, and flooding.
* entrepreneurship in the built environment, where students develop a design and entrepreneurial plan for a sustainability challenge.
* action research focusing on socio-spatial inequality, diversity, resilience, and well-being for a climate challenge in a collaborative way with practitioners and community members.
In the first phase of the study, semi-structured, in-depth interviews (n=21) identified key themes that informed a Likert-scale survey instrument employed in the second phase to test a set of hypotheses. Subsequently, in phase two, a nationwide survey (n=1,849) across three urban typologies—Extremely Urban, Strongly Urban, and Moderately Urban—captured perceptions and behavioural practices related to heatwave adaptation.
Findings indicate that residents in highly dense, extremely urban areas have a lower behavioural adaptation score compared to the other two urban types. Additionally, ownership emerges as a key factor in the adaptation process; where homeowners prioritize technological adjustments, renters rely more on personal and cultural adjustments. In terms of risk perception, statistically significant differences exist between adults living alone and those living with a partner or family.
The tested hypotheses provide a nuanced understanding of specific vulnerability to heatwaves in the Netherlands, offering insights that can inform targeted urban design and planning strategies at the local level. ...
In the first phase of the study, semi-structured, in-depth interviews (n=21) identified key themes that informed a Likert-scale survey instrument employed in the second phase to test a set of hypotheses. Subsequently, in phase two, a nationwide survey (n=1,849) across three urban typologies—Extremely Urban, Strongly Urban, and Moderately Urban—captured perceptions and behavioural practices related to heatwave adaptation.
Findings indicate that residents in highly dense, extremely urban areas have a lower behavioural adaptation score compared to the other two urban types. Additionally, ownership emerges as a key factor in the adaptation process; where homeowners prioritize technological adjustments, renters rely more on personal and cultural adjustments. In terms of risk perception, statistically significant differences exist between adults living alone and those living with a partner or family.
The tested hypotheses provide a nuanced understanding of specific vulnerability to heatwaves in the Netherlands, offering insights that can inform targeted urban design and planning strategies at the local level.
Behavioural adaptation to heatwaves in a temperate city
Insights from Rotterdam
household unit emerges as a significant factor in shaping spatial dependence, highlighting an often-overlooked aspect of inequality. The study offers a conceptual framework for exploring residents’ behavioural adaptation to extreme heat, facilitating the formulation of equitable and tailored planning strategies for temperate climates. ...
household unit emerges as a significant factor in shaping spatial dependence, highlighting an often-overlooked aspect of inequality. The study offers a conceptual framework for exploring residents’ behavioural adaptation to extreme heat, facilitating the formulation of equitable and tailored planning strategies for temperate climates.
From heatwaves to ‘healthwaves’
A spatial study on the impact of urban heat on cardiovascular and respiratory emergency calls in the city of Milan
In recent decades, the increasing frequency, intensity, and duration of heatwaves generated by climate change has posed significant challenges to public health, particularly in urban areas. Despite extensive research on the impacts of heatwaves on human health, there is still a need for enhanced understanding of how, and to what extent, the spatial attributes of urban environments exacerbate these effects at the very local scale. This research addresses this gap and emphasises the importance of analysing the relationship among urban form, climate and health through high resolution geo-spatial data. By investigating the spatial correlations between geolocated cardiovascular and respiratory emergency calls, the modelled universal thermal climate index (UTCI) and selected socio-demographic factors during the summer of 2022 in Milan, this study aims to enhance our understanding of the complex interaction among heat, the built environment, and specific health outcomes. The findings identify geographical locations where emergency calls occur more frequently and where health concerns emerge during hot spells. Morphological and socio-demographic factors both play a critical role in determining vulnerability to heat stress. The results provide valuable insights for identifying high-risk areas, where tailored interventions in terms of planning, governance and urban design may be implemented to address heat-resilience and health-equity in cities.
Although urban form and thermal behavior are inherently interrelated, similar urban forms can exhibit different thermal responses depending on factors like vegetation cover, impervious surfaces, and building materials. To better represent real-world variability, separating morphological classifications from thermal characteristics allows for an analysis that accounts for these differences.
To address these challenges, we develope an approach that generates empirically derived urban morhophological types while maintaining connections to LCZ categories. Our tool systematically classifies urban morphological types for fine-grained, nationwide assessments, enabling consistent comparisons across diverse Dutch urban residential areas. This approach uses readily available geospatial data and applies unsupervised machine learning techniques to identify urban morphological typologies. By standardizing the classification process into 100 x 100 m grid cells from Statistics Netherlands, our method provides a consistent spatial and temporal framework that transcends changing administrative boundaries.
Our approach helps streamline vulnerability analysis by facilitating the intersection of multiple environmental and social dimensions. We demonstrate the tool's utility through an explorative analysis that identifies which socio-economic groups reside in neighborhoods with high heat exposure, considering both morphological types and additional factors influencing heat exposure. This tool provides urban planners and researchers with an empirically-grounded framework for identifying priority areas in existing settlements for scalable adaptation interventions across different urban contexts. ...
Although urban form and thermal behavior are inherently interrelated, similar urban forms can exhibit different thermal responses depending on factors like vegetation cover, impervious surfaces, and building materials. To better represent real-world variability, separating morphological classifications from thermal characteristics allows for an analysis that accounts for these differences.
To address these challenges, we develope an approach that generates empirically derived urban morhophological types while maintaining connections to LCZ categories. Our tool systematically classifies urban morphological types for fine-grained, nationwide assessments, enabling consistent comparisons across diverse Dutch urban residential areas. This approach uses readily available geospatial data and applies unsupervised machine learning techniques to identify urban morphological typologies. By standardizing the classification process into 100 x 100 m grid cells from Statistics Netherlands, our method provides a consistent spatial and temporal framework that transcends changing administrative boundaries.
Our approach helps streamline vulnerability analysis by facilitating the intersection of multiple environmental and social dimensions. We demonstrate the tool's utility through an explorative analysis that identifies which socio-economic groups reside in neighborhoods with high heat exposure, considering both morphological types and additional factors influencing heat exposure. This tool provides urban planners and researchers with an empirically-grounded framework for identifying priority areas in existing settlements for scalable adaptation interventions across different urban contexts.
Heatwave vulnerability across different spatial scales
Insights from the Dutch built environment
...
How to make a city climate-proof
Addressing the urban heat island effect
Urban Microclimate and Energy Performance
An Integrated Simulation Method
variations in local wind, solar radiation, and air temperature patterns in which buildings express their energy performance are largely overlooked. In order to include microclimatic data in the computation of space cooling and heating consumption and enlarge the scale of analysis from single buildings to district scale, a new simulation method has been developed. The proposed coupling procedure links the microclimate software ENVI-met and the City Energy Analyst energy simulation tool and it is employed in the energy assessment of a urban re-development project in the city of Zurich, Switzerland. The results show that, considering microclimatic boundary conditions, the average hourly energy loads vary for daytime and night-time peaks and moreover a variation can be noticed in terms of total space heating and cooling consumption on the hottest and coldest day of a typical year. ...
variations in local wind, solar radiation, and air temperature patterns in which buildings express their energy performance are largely overlooked. In order to include microclimatic data in the computation of space cooling and heating consumption and enlarge the scale of analysis from single buildings to district scale, a new simulation method has been developed. The proposed coupling procedure links the microclimate software ENVI-met and the City Energy Analyst energy simulation tool and it is employed in the energy assessment of a urban re-development project in the city of Zurich, Switzerland. The results show that, considering microclimatic boundary conditions, the average hourly energy loads vary for daytime and night-time peaks and moreover a variation can be noticed in terms of total space heating and cooling consumption on the hottest and coldest day of a typical year.
The influence of building geometry on the physical urban climate
A revival of 'light, air and space'