scholarly journals How do green areas influence the temperature of cities? Web map to help local decision making about cities and the climate emergency

2021 ◽  
Vol 2 ◽  
pp. 1-6
Author(s):  
Carla Garcia-Lozano ◽  
Anna Peliova ◽  
Josep Sitjar
Keyword(s):  
Urban Areas ◽  
Large Scale ◽  
Decision Makers ◽  
Efficient Manner ◽  
Web Map ◽  
Urban Greenery ◽  
Local Decision ◽  
Local Decision Making ◽  
The City ◽  
Positive Effect

Abstract. The positive effect of urban greenery on the city’s microclimate is well known, as is its ability to reduce the ambient temperature in urban areas. Our results show how the areas with the lowest surface temperature clearly coincide with the vegetated areas in the city of Barcelona. This phenomenon demonstrates the importance of increasing the urban greenery in large compact cities, such as the city of Barcelona, in order to regulate the local temperature and mitigate the effects of global warming on a large scale. The web map presented here can be used as a tool for decision makers to identify the warmest areas in the city of Barcelona and to increase greenery in an efficient manner.

Barriers and levers for implementing sustainable Nature-Based Solutions in cities

2021 ◽  
Author(s):  
Chloé Duffaut ◽  
Nathalie Frascaria-Lacoste ◽  
Pierre-Antoine Versini
Keyword(s):  
Urban Areas ◽  
Large Scale ◽  
Project Managers ◽  
Global Changes ◽  
Human Beings ◽  
Urban Context ◽  
Urban Plan ◽  
Education And Awareness ◽  
Awareness Raising ◽  
The City

<p>Hydro-meteorological risks are increasing and this could be due to global changes. These risks are particularly important in the urban context where most human beings live. Indeed, the impervious surfaces present in cities increase the risk of flooding, for example. Nature-Based Solutions can help to reduce these risks by creating permeable soils or storing water while promoting biodiversity. In this context, it is essential to understand what hinders the development and sustainability of these Nature-based Solutions in the city and what could help to deploy them on a large scale. For this purpose, various professionals working on Nature-Based Solutions in the city in France, were interviewed between 2020 and 2021, both in the academic and operational sectors, or even at the interface between the two: researchers in ecology or hydrology, IUCN (International Union for Conservation of Nature) project manager, project managers at the Regional Biodiversity Agency, director and natural environment manager of a watershed union, agro-economists engineer among others. They were asked what are the barriers and potential opportunities for Nature-Based Solutions implementation and sustainability in city. By analysing their answers, it emerges that the obstacles are more often cultural, political or financial than technical. The potential levers often mentioned are education and awareness-raising at all levels, especially for elected officials and the general public. Regulations such as the PLU (Local Urban Plan) and new funding for more natural spaces in the city also seem to be means of promoting Nature-based Solutions in urban areas. These interviews with diverse professionals directly involved in Nature-Based Solutions in cities allow to give real courses of action to be taken to democratize these Solutions throughout the French territory, or even internationally, and therefore ultimately reduce the risks of hydro-meteorology. This is one of the objectives of the French ANR project EVNATURB (Assessment of ecosystem performance of a renaturation of the urban environment), in which this study has been carried out.</p>

scholarly journals EXTRACTION AND VISUALIZATION OF 3D BUILDING MODELS IN URBAN AREAS FOR FLOOD SIMULATION

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 669-673 ◽  
Author(s):  
C. E. Kilsedar ◽  
F. Fissore ◽  
F. Pirotti ◽  
M. A. Brovelli
Keyword(s):  
Urban Areas ◽  
Three Dimensional ◽  
Decision Makers ◽  
Three Dimensions ◽  
Adaptation Measures ◽  
Flood Simulation ◽  
Domain Experts ◽  
Effective Strategies ◽  
Web Map ◽  
Building Models

<p><strong>Abstract.</strong> Floods pose a risk that is likely to worsen in the future due to climate change. Therefore, it is essential that decision makers and domain experts have the tools to evaluate the effects of floods. We developed a tool that visualizes the earth and buildings in three dimensions to simulate floods so that effective strategies can be developed to enhance resilience and mitigate the effects of floods. We opted to use open standards and free and open source software (FOSS) for Web to maximize interoperability, replicability, reusability, and accessibility. As a result of the literature review, we decided to use CityGML and CesiumJS for three-dimensional geospatial data visualization. However, as CityGML data is not available for the cities that our project focuses on, we developed software called shp2city that converts Esri shapefile to CityGML data in LOD1 or LOD2. Moreover, as CityGML data cannot be immediately used with CesiumJS, we used 3DCityDB to store, represent, and manage the CityGML data; 3DCityDB Importer/Exporter to export the CityGML data in KML/COLLADA/glTF format to be used within the 3DCityDB Web-Map-Client that is based on CesiumJS for visualization. Finally, we simulated floods to aid in the informed decision-making process regarding adaptation measures and mitigation of flooding effects.</p>

scholarly journals Incidence of Photovoltaics in Cities Based on Indicators of Occupancy and Urban Sustainability

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 810 ◽  
Author(s):  
Antonio Barragán-Escandón ◽  
Esteban Zalamea-León ◽  
Julio Terrados-Cepeda
Keyword(s):  
Urban Areas ◽  
Large Scale ◽  
Local Context ◽  
Social Dimensions ◽  
Country Level ◽  
Urban Energy ◽  
Urban Level ◽  
Energy Emissions ◽  
The Impact ◽  
The City

Previous research has assessed the potential of solar energy against possible demand; however, the sustainability issues associated with the use of large-scale photovoltaic deployment in urban areas have not been jointly established. In this paper, the impact of photovoltaic energy in the total urban energy mix is estimated using a series of indicators that consider the economic, environmental and social dimensions. These indicators have been previously applied at the country level; the main contribution of this research is applying them at the urban level to the city of Cuenca, Ecuador. Cuenca is close to the equatorial line and at a high altitude, enabling this area to reach the maximum self-supply index because of the high irradiation levels and reduced demand. The solar potential was estimated using a simple methodology that applies several indexes that were proven reliable in a local context considering this particular sun path. The results demonstrate that the solar potential can meet the electric power demand of this city, and only the indicator related to employment is positive and substantially affected. The indicators related to the price of energy, emissions and fossil fuel dependency do not change significantly, unless a fuel-to-electricity transport system conversions take place.

scholarly journals Mapping Urban Areas Using a Combination of Remote Sensing and Geolocation Data

2019 ◽  
Vol 11 (12) ◽  
pp. 1470 ◽  
Author(s):  
Nan Xia ◽  
Liang Cheng ◽  
ManChun Li
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Urban Areas ◽  
Large Scale ◽  
High Spatial Resolution ◽  
Human Life ◽  
Human Movement ◽  
Night Time ◽  
Urban Mapping ◽  
The City

Urban areas are essential to daily human life; however, the urbanization process also brings about problems, especially in China. Urban mapping at large scales relies heavily on remote sensing (RS) data, which cannot capture socioeconomic features well. Geolocation datasets contain patterns of human movement, which are closely related to the extent of urbanization. However, the integration of RS and geolocation data for urban mapping is performed mostly at the city level or finer scales due to the limitations of geolocation datasets. Tencent provides a large-scale location request density (LRD) dataset with a finer temporal resolution, and makes large-scale urban mapping possible. The objective of this study is to combine multi-source features from RS and geolocation datasets to extract information on urban areas at large scales, including night-time lights, vegetation cover, land surface temperature, population density, LRD, accessibility, and road networks. The random forest (RF) classifier is introduced to deal with these high-dimension features on a 0.01 degree grid. High spatial resolution land cover (LC) products and the normalized difference built-up index from Landsat are used to label all of the samples. The RF prediction results are evaluated using validation samples and compared with LC products for four typical cities. The results show that night-time lights and LRD features contributed the most to the urban prediction results. A total of 176,266 km2 of urban areas in China were extracted using the RF classifier, with an overall accuracy of 90.79% and a kappa coefficient of 0.790. Compared with existing LC products, our results are more consistent with the manually interpreted urban boundaries in the four selected cities. Our results reveal the potential of Tencent LRD data for the extraction of large-scale urban areas, and the reliability of the RF classifier based on a combination of RS and geolocation data.

scholarly journals Mid-21st century air quality at the urban scale under the influence of changed climate and emissions: case studies for Paris and Stockholm

2015 ◽  
Vol 15 (19) ◽  
pp. 27041-27085
Author(s):  
K. Markakis ◽  
M. Valari ◽  
M. Engardt ◽  
G. Lacressonnière ◽  
R. Vautard ◽  
...  
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Large Scale ◽  
Regional Scale ◽  
Influential Factor ◽  
Daily Average ◽  
Pollutant Concentrations ◽  
Emission Projections ◽  
The Impact ◽  
The City

Abstract. Ozone, PM10 and PM2.5 concentrations over Paris, France and Stockholm, Sweden were modeled at 4 and 1 \\unit{km} horizontal resolutions respectively for the present and 2050 periods employing decade-long simulations. We account for large-scale global climate change (RCP-4.5) and fine resolution bottom-up emission projections developed by local experts and quantify their impact on future pollutant concentrations. Moreover, we identify biases related to the implementation of regional scale emission projections over the study areas by comparing modeled pollutant concentrations between the fine and coarse scale simulations. We show that over urban areas with major regional contribution (e.g., the city of Stockholm) the bias due to coarse emission inventory may be significant and lead to policy misclassification. Our results stress the need to better understand the mechanism of bias propagation across the modeling scales in order to design more successful local-scale strategies. We find that the impact of climate change is spatially homogeneous in both regions, implying strong regional influence. The climate benefit for ozone (daily average and maximum) is up to −5 % for Paris and −2 % for Stockholm city. The joined climate benefit on PM2.5 and PM10 in Paris is between −10 and −5 % while for Stockholm we observe mixed trends up to 3 % depending on season and size class. In Stockholm, emission mitigation leads to concentration reductions up to 15 % for daily average and maximum ozone and 20 % for PM and through a sensitivity analysis we show that this response is entirely due to changes in emissions at the regional scale. On the contrary, over the city of Paris (VOC-limited photochemical regime), local mitigation of NOx emissions increases future ozone concentrations due to ozone titration inhibition. This competing trend between the respective roles of emission and climate change, results in an increase in 2050 daily average ozone by 2.5 % in Paris. Climate and not emission change appears to be the most influential factor for maximum ozone concentration over the city of Paris, which may be particularly interesting in a health impact perspective.

scholarly journals Homogeneous Groups of Actors in an AHP-Local Decision Making Context: A Bayesian Analysis

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 294 ◽  
Author(s):  
Alfredo Altuzarra ◽  
Pilar Gargallo ◽  
José María Moreno-Jiménez ◽  
Manuel Salvador
Keyword(s):  
Decision Making ◽  
Geometric Mean ◽  
Real Life ◽  
Decision Makers ◽  
Local Context ◽  
Homogeneous Groups ◽  
Decision Tools ◽  
Local Decision ◽  
Local Decision Making

The two procedures traditionally followed for group decision making with the Analytical Hierarchical Process (AHP) are the Aggregation of Individual Judgments (AIJ) and the Aggregation of Individual Priorities (AIP). In both cases, the geometric mean is used to synthesise judgments and individual priorities into a collective position. Unfortunately, positional measures (means) are only representative if dispersion is reduced. It is therefore necessary to develop decision tools that allow: (i) the identification of groups of actors that present homogeneous and differentiated behaviours; and, (ii) the aggregation of the priorities of the near groups to reach collective positions with the greatest possible consensus. Following a Bayesian approach to AHP in a local context (a single criterion), this work proposes a methodology to solve these problems when the number of actors is not high. The method is based on Bayesian comparison and selection of model tools which identify the number and composition of the groups as well as their priorities. This information can be very useful to identify agreement paths among the decision makers that can culminate in a more representative decision-making process. The proposal is illustrated by a real-life case study.

Democratic Preferences of the Indirectly-Elected Mayor, Open or Locked-In

2016 ◽  
pp. 110-139
Author(s):  
Werner Pleschberger
Keyword(s):  
Decision Making ◽  
Longitudinal Study ◽  
Local Democracy ◽  
The Core ◽  
Majority Principle ◽  
Local Decision ◽  
The Difference ◽  
Local Decision Making ◽  
The City ◽  
Dem Model

The Directly Elected Mayor (DEM) model is a prominent manifestation of global efforts to innovate and strengthen local democracy. According to the established reformist claim, a DEM generates an array of advantages for local democracy (e.g., personalization, visibility of power, an increase in accountability, more inclusion, even direct involvement of citizens in local decision making). The DEM model seems to overcome the democratic deficits of the Indirectly Elected Mayor (IEM) model; this is the core assumption of the “difference hypothesis”. The aim of the empirical part of the study is to allow the analysis of the democratic orientation and styles of actions of the IEMs in the city of Vienna from 1973 until 2013. They all asked to the citizenry to express their opinion in consultative referenda. The longitudinal study shows the clear preference of the mayors for representative democracy and the majority principle to decide local issues. The analysis provides evidence that indirectly supports the reformist claim promoting the DEM model in local democracy.

The Use of Geolocalized Social Networks Information to Guide and Enhance the Design of Local Cultural and Tourist Policies

2019 ◽  
pp. 321-335
Author(s):  
Víctor Temprano-García ◽  
Rebeca San José-Cabezudo
Keyword(s):  
Social Networks ◽  
Effective Action ◽  
Positive Impact ◽  
Decision Makers ◽  
The Social ◽  
Local Decision ◽  
Multiplicative Effects ◽  
The City ◽  
Local Decision Makers ◽  
Source Of Information

In recent years we have witnessed the upsurge in the use of social networks by companies and individuals, the latter being the real protagonists of its development. The diverse execution formats and the multiplicative effects on the reach and influence on equals have changed how organizations communicate with their users, but they have also become a valuable source of information. This chapter aims to understand the behavior of residents and tourists of a city to provide local decision makers insights and pioneer tools to help them design more effective action policies, which may have a positive impact on their cities. The methodological design used is based on the observation and collection of geolocalized data, provided spontaneously by residents and visitors to a town in a real context. Based on the analysis of the photographs that the subjects share about the city and the interactions that take place between the members of the social networks under study, the authors reach the main implications for decision makers to successfully design their policies.

A Within-Study Approach to Evaluating the Role of Moderators of Impact in Limiting Generalizations from “Large to Small”

2021 ◽  
pp. 109821402110305
Author(s):  
Andrew P. Jaciw ◽  
Fatih Unlu ◽  
Thanh Nguyen
Keyword(s):  
Experimental Evaluation ◽  
Large Scale ◽  
Educational Programs ◽  
Decision Makers ◽  
Causal Effects ◽  
Study Approach ◽  
Average Impact ◽  
Local Decision ◽  
Local Decision Makers

There is a burgeoning body of evidence on the average impacts of educational programs. Yet, for many local decision makers, because impacts can vary across sites, the question of whether a certain program will work in their particular district or school remains. This article addresses the question of the generalizability of large-scale average causal effects to specific locales, that is, from “large to small.” Our method evaluates whether impacts measured on the large-scale generalize to individual sites and whether adjusting for variation among sites in their characteristics accounts for impact heterogeneity that limits generalization. Our application to a multisite experimental evaluation in education shows that the average impact does not readily generalize to sites, with discrepancies between 0.17 and 0.38 standard deviations, and that characteristics of sites account only minimally for this variation. This emphasizes need for caution by local decision makers in accepting average impact findings as generalizable to their specific locales.

scholarly journals Water governance in decentralising urban Indonesia

Urban Studies ◽  
2019 ◽  
Vol 56 (14) ◽  
pp. 2917-2934 ◽  
Author(s):  
Paramita Rahayu ◽  
Johan Woltjer ◽  
Tommy Firman
Keyword(s):  
Water Governance ◽  
Regional Level ◽  
Institutional Capacity ◽  
Urban Region ◽  
Democratic Regimes ◽  
Local Decision ◽  
Local Actors ◽  
History Of ◽  
Local Decision Making ◽  
The City

Under new democratic regimes in the countries of the Global South, governance innovation is often found at the regional level. This article, using the concept of institutional capacity, shows that powerful efforts affecting regional water resource coordination emerge locally. The article analyses fresh water cooperation in the urban region of Cirebon, Indonesia. It is shown that the city and its surrounding regions in decentralising Indonesia show signs of increasing institutional capacity between local actors. An informal approach and discretionary local decision-making, influenced by the logic of appropriateness and tolerance, are influential. At the same time, these capacities are compromised by significant inequality and a unilateral control of water resources, and they are being challenged by a strong authoritarian political culture inherited from a history of centralised government. The article points to the need to establish greater opportunities for water governance at the regional level to transcend inter-local rivalry, and thus improve decentralised institutional capacity further.

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