City Of Zurich Research Articles

Ulrico Zuinglio. Una biografía como teología

This work is an approach to the life of the Swiss reformer Ulrich Zwingli in the XVI century. In this work Zwingli’s life is understood as a locus theologicus, where his passion and commitment to the church and its reform is remarkable. This occurred during his pre-Reformed life, that is, during his priestly ministry in the cities of Glarus and Einsiedeln, and continued into his Reformed life, during his pastoral ministry in the city of Zurich. In the different stages of Zwingli’s life, the God’s presence is implicit, specifically in his concern for the Church, which is evident in the dominant and regulating images of his life that have theological content.

The Züri Can study: Can regulated cannabis sales promote lower-risk cannabis use? Mini-review and study protocol

Background and AimsRecreational use of cannabis is illegal in most countries. Despite this, it is the third most commonly used psychoactive substance worldwide. As a result of this discrepancy, a growing number of countries have begun to reassess their legal approach to cannabis in recent years. While the health risks of cannabis and potential harm reduction measures are increasingly well understood, there are still significant gaps in knowledge about which regulatory and supply models are effective in promoting lower-risk cannabis use.In this paper, we outline the Züri Can study, which implements and evaluates a regulatory framework for cannabis sales in the city of Zurich, Switzerland, between 2023 and 2026. In addition, we illustrate how the study addresses current knowledge gaps to provide further insight into the potential future regulation of cannabis in Switzerland.To embed the study in the present scientific and political context, we first provide a brief overview of the state of knowledge on cannabis-related health risks and means of reducing them, along with lessons learned from other countries that have implemented varying regulatory systems. Design and Measurements2,100 participants will be able to legally purchase cannabis either at a pharmacy, a cannabis social club, or the municipal drug information center over a three-year period. As part of this observational study, participants will be evaluated regarding their cannabis use habits and motives, their knowledge of lower-risk use, and their mental and physical health, among other parameters.Established harm reduction strategies are implemented as an integral part of the study design. CommentsThe study will contribute to a better understanding of the impact of different cannabis distribution models on cannabis use patterns and related health outcomes. The results are expected to assist Swiss and international policy makers in developing evidence-based and public health-oriented regulatory frameworks for cannabis.

Investigating the efficacy of a fast urban climate model for spatial planning of green and blue spaces for heat mitigation

Problems caused by urban heat have prompted the exploration of urban greenery and blue spaces for heat mitigation. Various numerical models can simulate heat-related processes, but their use as support-tools to urban planners remains underexplored, particularly at the city-scale, due to high computational demand and complexity of such models. This study investigates the spatial relationships between urban heat, urban form and urban green and blue spaces with the fast climate model TARGET (The Air-temperature Response to Green/blue-infrastructure Evaluation Tool), which only requires minimal inputs of standard meteorological data, land cover and building geometry data. Using the City of Zurich as our case study, we: (i) validated the TARGET model against air temperature measurements from private sensor networks, (ii) performed a sensitivity analysis to identify key variables affecting urban heat, and (iii) investigated urban heat relationships with blue-green cover at locations frequented by pedestrians. Presence of urban green and blue spaces across the region shows potential for reducing local air temperatures by up to 5.2 °C (with urban forest). Investigating this relationship at different locations in the city revealed key districts that should potentially be targeted for reduction of pedestrian heat-impacts, due to their high pedestrian traffic, fewer green and blue spaces and high daytime air temperatures. Our results not only provide insights into the cooling effect of different amounts of green and blue features in the urban environment, but also demonstrates the application and integration potential of simplified models like TARGET to support the planning of more liveable future cities.

A simple and robust approach for adapting design storms to assess climate-induced changes in flash flood hazard

Hydrologists and civil engineers often use design storms to assess flash flood hazards in urban, rural, and mountainous catchments. These synthetic storms are not representations of real extreme rainfall events, but rather simplified versions parameterized to mimic extreme precipitation statistics often obtained from intensity–duration–frequency (IDF) curves. To construct design storms for the future climate, it is thus necessary first to recalculate IDF curves to represent rainfall under warmer conditions. We propose a framework for adjusting IDF curves and design storms to future climate conditions using the TENAX model, a novel statistical approach that can provide future short-duration precipitation return levels based on projected temperature changes. For most applications, information from climate models at the daily scale can be used to construct design storms at the sub-hourly scale without any downscaling or bias adjustment. Our approach is illustrated through a re-parameterization of the Chicago Design Storm (CDS) in the context of climate change. As a case study demonstration, we apply the TENAX model to data from the city of Zurich to calculate changes in the historical IDF curve for durations ranging from 10 min to 3 h. We then construct synthetic 100-year return period design storms based on the CDS for present and future climates and use the CAFlood model to produce flood inundation maps to assess changes in flood hazard. The codes for adapting design storms to climate change are simple to implement, easily applicable by practitioners, and made freely available.

Representing density: the politics of fear in Zurich city planning

ABSTRACT Density dominates current urban discussions, especially in light of still-developing understandings of Covid-19’s impact on urban populations. This paper argues that critical scrutiny of visual representations of urban density is both missing from academic focus and critically important for understanding how perceptions of density are both created and reproduced. The political rhetoric of density shapes public perceptions as much as it responds to them, and scrutiny of visual density politics adds a new lens to critical density debates. This research takes the speculative imagery of imagined future density created for a public ballot referendum in Zurich, Switzerland as the main focus, and compares the verbal and written campaign rhetoric to the visual images produced as tools of public persuasion. By assessing the gap between what the campaigns claim and what the campaign imagery represents, the research finds embedded in conventional rhetoric a deep-seated and self-defeating assumption that the electorate unilaterally fears density and the changes it might bring. As a winning electoral strategy assuming fear of density worked; as a tool of persuasion it failed, and risks amplifying or creating the perception it assumes.

Urban morphology clustering analysis to identify heat-prone neighbourhoods in cities

Exposure to heat is a major health concern to urban populations. Cities aim to reduce outdoor thermal stress by adapting the built environment, but the spatial heterogeneity within cities makes it difficult to establish universal mitigation strategies. We present a methodology that identifies the hottest neighbourhoods in a city and links them to underlying patterns in urban form and function, to derive heat mitigation measures for individual neighbourhoods according to their characteristics, mitigation potential, and average surface temperature. The method applies k-means clustering and is applicable to any city using available datasets on surface cover and building morphology, as well as globally available satellite measurements of surface temperatures. Here, we present a heat-mitigation analysis for the city of Zurich. The clustering differentiates seven neighbourhood types, including two types of residential areas, modern neighbourhoods with high-rise buildings, historical districts, and industrial zones. The hottest temperatures are in neighbourhoods with extensive impervious ground cover such as railway tracks and airport parking. Surface temperatures strongly correlate with impervious surface cover and vegetation cover for all neighbourhoods, with building cover only for non-industrial built neighbourhoods, and with sky-view factor for all neighbourhoods except those with large vegetation cover. Historical, modern, and industrial neighbourhoods are particular heat-prone, and increasing vegetation for evaporative cooling is a suggested mitigation strategy for all. Modern and industrial areas could benefit from shading through increase of tree cover, while historical centres may adapt vertical greening as suitable heat mitigation strategy.

Autoencoding tree for city generation and applications

City modeling and generation have attracted an increased interest in various applications, including gaming, urban planning, and autonomous driving. Unlike previous works focused on the generation of single objects or indoor scenes, the huge volumes of spatial data in cities pose a challenge to the generative models. Furthermore, few publicly available 3D real-world city datasets also hinder the development of methods for city generation. In this paper, we first collect over 3,000,000 geo-referenced objects for the cities of New York, Zurich, Tokyo, Berlin, Boston, and several other large cities. Based on this dataset, we propose AETree, a tree-structured auto-encoder neural network, for city generation. Specifically, we first propose a novel Spatial-Geometric Distance (SGD) metric to measure the similarity between building layouts and then construct a binary tree over the raw geometric data of the building based on the SGD metric. Next, we present a tree-structured network whose encoder learns to extract and merge spatial information from the bottom-up iteratively. The resulting global representation is reversely decoded for reconstruction or generation. To address the issue of long-dependency as the level of the tree increases, a Long Short-Term Memory (LSTM) Cell is employed as a basic network element of the proposed AETree. Moreover, we introduce a novel metric, Overlapping Area Ratio (OAR), to quantitatively evaluate the generation results. Experiments on the collected dataset demonstrate that the proposed model outperforms baseline models, such as LayoutTransformer and LayoutVAE, in terms of key metrics. Specifically, the proposed model achieves a Jensen–Shannon Divergence (JSD) of 0.0033, compared to 0.0041 and 0.0061 for LayoutTransformer and LayoutVAE, respectively. Similarly, for the Overall Accuracy Rate (OAR), the proposed model scores 1.66, significantly better than 28.24 and 19.01 for the baseline models Furthermore, the latent features learned by AETree can serve downstream urban planning applications. Project webpage is available at https://ai4ce.github.io/RealCity3D.

Digital Rights to the City: Local Practices and Negotiations of Urban Space on Decidim

The organization, management, and production of urban space through digital information and communication technologies have become a central means for governing urban life. To overcome a lack of citizen-centered practices in today’s smart cities, governments and municipalities institutionalize citizen-centered digital infrastructures such as Decidim, a digital infrastructure proposing non-corporate, decentralized, and collaborative forms of digital production to evoke participatory governance practices and ultimately social transformation (Barandiaran et al., 2018). Swiss city administrations have adapted the Decidim platform for participatory budgeting processes and city-wide participation platforms since 2019. This article explores the process of institutional adoption, focusing on how the use of Decidim impacts local practices and negotiations for governing urban space. The examination of the Decidim platform in the Swiss cities of Zurich and Lucerne will be framed by re-conceptualizing Lefebvre’s right to the city in the age of digital transformation. The findings show that for a successful introduction of the Decidim platform based on principles of the right to the city (a) local needs for a new digital democratic instrument need to be pre-existent, (b) government employees must implement a scope of action which allows organized civil society and grassroots initiatives to appropriate the infrastructure for their own purposes, and (c) local practices of hybrid communication and organizing must be aligned with the structure of the platform. Nevertheless, digital participation tools such as Decidim cannot solve entrenched inequalities such as the financialization of land, the issue of disadvantaged neighborhoods, or the absence of voting rights for certain communities. Therefore, city administrations need to integrate hybrid participation strategies which prioritise collective power over distributive power as well as tackle urban inequalities through political means.

Promoting digital equality in co-production: The role of platform design

Governments are increasingly using digital platforms to integrate citizens in public service delivery. However, research indicates that digital co-production initiatives are not reaching all groups of society equally. We investigate the role of gender and platform design on the intention to participate in co-production by conducting a pre-registered survey experiment with a sample of individuals in Zurich (Switzerland). By drawing on social identity theory, research on gender-inclusive language, and the design of web interfaces, we developed and tested five different designs of a digital platform run by the city of Zurich, which differ in visual and verbal elements. We show how small design modifications on the user interface are increasing women's intentions to use the platform and propose the best gender-neutral option. Our results expand and update the empirical evidence on digital inequalities in citizen co-production and provide insights for public service producers who strive to increase the participation of specific social groups and develop more inclusive platform designs.

Multiscale pattern analysis of building replacements in Zurich from 2000 to 2019

Building replacement (BR) – i.e., the demolition of existing structures and subsequent construction of new buildings on the same site – is often understood as a necessary urban planning strategy despite significant environmental implications regarding solid waste generation, raw material depletion, and embodied greenhouse gas emissions. Besides, BR may also be considered an effective form of urban mining. Yet it has not been adequately studied in academic literature. Current studies often adopt a simplified ‘black box’ approach that overlooks the intricate internal mechanisms and fails to capture the interconnected material flows within the building stock. To address these gaps, this paper utilizes descriptive statistics and bipartite graph analysis to examine the transformation patterns of BR across three spatial scales in the city of Zurich. The analysis encompasses 1,018 replacement projects involving 6,115 building units from 2000 to 2019. By comparing the characteristics of demolished and newly constructed groups, the study reveals insights into the dynamic nature of BR. From a broader perspective, the combination of the various heterogeneous BR-related findings in this paper highlights the need to evaluate the application of circular economy principles to large building stocks with a more nuanced understanding of building stock dynamics over time.

Detecting Signatures of Convective Storm Events in GNSS‐SNR: Two Case Studies From Summer 2021 in Switzerland

AbstractGlobal Navigation Satellite Systems (GNSS) are not only a state‐of‐the‐art sensor for positioning and navigation applications but also a valuable tool for remote sensing. Through the usage of L‐band carrier frequencies, GNSS acts as an all‐weather‐operation system, offering substantial benefits compared to optical systems. Nevertheless, severe weather can still have an impact on the strength of signals received at a ground station, as we show in this study. We investigate GNSS Signal‐to‐Noise Ratio (SNR) observations during two severe convective storm events over the city of Zurich, Switzerland. We make use of a GNSS‐SNR‐based algorithm originally developed for the detection of hail particles from volcanic eruptions. Results indicate that, although GNSS observations are considered to be fairly insensitive to the presence of hydrometeors, convective storm events are visible in SNR observations. SNR levels of affected satellites show a significant drop during event periods, which are determined by weather radar observations.

Wider view over bicycle crashes: Complementing and extending bicycle crash statistics in urban areas using surveys

Introduction: In pursuit of sustainability goals, many cities are introducing measures to increase the usage of bicycles as a means of transportation. City planners aim to ensure that this increase does not lead to an increase in crashes, but must make corresponding infrastructure decisions with limited information. Sufficient data to perform a statistical analysis of location-specific crash frequencies is rarely available. For example, only approximately 10% of all bicycle crashes are reported to the police (Shinar et al., 2018). Therefore, urban planners often rely on expert opinion, which may lead to suboptimal prioritization and realization of infrastructure improvements. Method: This paper demonstrates how surveys on bicycle crashes can be used to aid urban planners in making infrastructure decisions. In addition to confirming the location and characteristics of reported crashes, surveys can uncover characteristics of crashes that are not reported to the police, situations in which a crash almost occurred, and locations perceived by cyclists to be dangerous. Surveys also allow urban planners to investigate non-infrastructure related causes of crashes, such as the frequency with which individual cyclists use other modes of transportation. Practical Applications: The usefulness of surveys in the determination of urban cycling safety is demonstrated in this paper through analysis of survey results from the city of Zurich in 2018.

Using satellite imagery to investigate Blue-Green Infrastructure establishment time for urban cooling

The process of urbanization can alter the local climate to the point that it threatens citizens’ well-being by creating heat-related hazards. The construction of Blue-Green Infrastructure (BGI) can improve the regulation of surface energy exchange processes and address this problem. However, the time needed for a BGI to deliver a stable cooling performance, referred to here as the Cooling Establishment Time (CET), is poorly understood and quantified in the literature and dependent on environmental, design and maintenance factors. Here, we analyze the feasibility of using satellite data to derive the CET for different BGIs across the city of Zurich, Switzerland. Results showed that remote sensing can quantify the land surface temperature impact of BGIs and assist in estimating their CET. BGI with trees or climbing plants required a longer CET (seven to ten years) before any notable shift in surface temperatures were visible, while grasses or artificial irrigated systems led to shorter CETs (one to three years). These results allow us to better account for BGI cooling establishment when planning for areas that need urgent action under warming climates. This work supports evidence-based urban greenery planning and design towards cooling our increasingly warming cities in a timely manner.

Route choice modeling for cyclists on urban networks

This paper presents the results of route choice models for cyclists in the city of Zurich. The data includes approx. 4400 cycling trajectories, including approx. 850 from e-bikes. The network is sourced from Open Street Map (OSM) and the choice set generation is based on the breadth-first search on link elimination (BFSLE) algorithm. We present descriptive statistics and model results which specifically point out the difference between regular and e-bikes. We provide results of a simple path size Logit (PSL) and a more complex mixed PSL, both estimated in Value-of-Distance (VoD) space, and both suited to directly derive VoD indicators. The results show anticipated effects for cycling infrastructure, speed limits, traffic signals, gradients and traffic volumes. Numerous interaction effects shed light on the taste heterogeneity.

Spatial Accessibility Assessment of Homecare Workers to the Older Population in the City of Zurich

Abstract. Access to homecare is paramount for the older population wishing not to move to retirement homes. In Zurich, the organization “Spitex Zürich” is the public homecare provider, allowing the older population to experience high-quality life at home through regular visits. A major factor for ensuring self-determined living for the older population consists of a detailed understanding of the spatial accessibility to Spitex locations. Therefore, this paper is concerned with applying four different FCA methods for assessing the spatial accessibility of Spitex homecare workers to people aged 65 + in Zurich through the road and bike networks. The modified-Huff-model-three-step-FCA method is found to be best suited for modeling potential spatial accessibility in Zurich. Spatial accessibility index values show similar geographical distributions regardless of transportation mode. The neighborhoods of Seebach and Hottingen are identified as regions with relatively low spatial accessibility. Our findings contribute to a better understanding of the interpretation and the measurement of spatial accessibility, thereby facilitating autonomous living for the older population residing in Zurich, ultimately increasing the inclusiveness of the city.

Quantifying displacement: Using turnover data to measure physical and psychological neighborhood change

Population displacement is difficult to measure, but quantifying its presence is critical to delineating the scope, scale and potential causes of displacement’s effect in urban areas. This paper considers whether the widely available data used to measure turnover can be effectively used to measure other forms of population change. The article presents two new metrics, the Fresh Faces Ratio and the Replacement Index, that better capture some of the nuances of physical and psycholog-ical displacement. It then applies these metrics to city quarters within the city of Zurich, Switzerland, correlates them with turnover and new construction statistics, and assesses their accuracy against residents’ perceptions of change. The research finds that both metrics offer suitable proxies to identify areas where exceptional population changes are taking place, and where residents have a strong sense of these changes. The new metrics can help assess what physical or psychological displacement may or may not result from urban development and new housing construction. Since the new metrics use turnover data already widely available, they are easily adaptable to less data-rich contexts than Zurich.

The shortsighted victim: Short-term mindsets mediate the link between victimization and later offending

BackgroundPredominant explanations of the victim-offender overlap tend to focus on shared causes, such as (low) self-control or risky lifestyles. Such explanations bypass the possibility of a causal link between victimization and offending. We draw on evolutionary developmental psychology and criminological research to propose and test the hypothesis that victimization induces what we refer to as a short-term mindset, i.e., an orientation towards the here-and-now at the expense of considering the future, which in turn increases offending. MethodsWe test this mediation hypothesis using structural equation modeling of longitudinal data from a representative sample of urban youth from the city of Zurich, Switzerland (N = 1675). ResultsIn line with our preregistered predictions, we find that short-term mindsets mediate the effect of victimization on offending, net of prior levels of offending and short-term mindsets, and other controls. ConclusionsWe discuss implications for criminological theory and interventions.

Smartly Packaged

Smartly Packaged

Unintended policy integration through entrepreneurship at the implementation stage

Most scholars conceive policy integration (PI) as a top-down process steered by governmental bodies and consider the formulation stage to be the decisive step for achieving PI. Adopting a different stance, this article hypothesizes that PI can also occur throughout the implementation stage thanks to “integration entrepreneurs” who are able and willing to bring together policies that were designed in silos. I test this hypothesis by analyzing the evolution of federal legislation intended to curb urban sprawl in Switzerland over four decades (1980–2020) and investigate three major urban renewal projects that concretely reduced urban sprawl in the cities of Zurich, Bern and Geneva. In line with my hypothesis, these urban renewal projects succeeded thanks to an ex post integration of several policies that occurred during the implementation stage. This integrative process was an unintended outcome of the transformation of the Swiss Federal Railways (SBB) from a federal government institution into a state-owned company. Since then, the SBB has become an “integration entrepreneur” who brings together three federal policies that were previously poorly integrated: the spatial planning policy, the railway policy and the agglomeration policy. Case study evidence thus shows that PI can also happen unintentionally, namely through coordination mechanisms that were not foreseen by policymakers at the formulation stage. This finding challenges the top-down sequential approach of the policy process that is dominant among PI studies and calls for more research on the role and the strategies of “integration entrepreneurs” throughout the implementation stage.

How Do Road Traffic Noise and Residential Greenness Correlate with Noise Annoyance and Long-Term Stress? Protocol and Pilot Study for a Large Field Survey with a Cross-Sectional Design.

Urban areas are continuously growing, and densification is a frequent strategy to limit urban expansion. This generally entails a loss of green spaces (GSs) and an increase in noise pollution, which has negative effects on health. Within the research project RESTORE (Restorative potential of green spaces in noise-polluted environments), an extended cross-sectional field study in the city of Zurich, Switzerland, is conducted. The aim is to assess the relationship between noise annoyance and stress (self-perceived and physiological) as well as their association with road traffic noise and GSs. A representative stratified sample of participants from more than 5000 inhabitants will be contacted to complete an online survey. In addition to the self-reported stress identified by the questionnaire, hair cortisol and cortisone probes from a subsample of participants will be obtained to determine physiological stress. Participants are selected according to their dwelling location using a spatial analysis to determine exposure to different road traffic noise levels and access to GSs. Further, characteristics of individuals as well as acoustical and non-acoustical attributes of GSs are accounted for. This paper presents the study protocol and reports the first results of a pilot study to test the feasibility of the protocol.