scholarly journals Socio-spatial Disparities in Brussels and its Hinterland

2021 ◽  
pp. 271-291
Author(s):  
Rafael Costa ◽  
Helga A. G. de Valk
Keyword(s):  
Spatial Data ◽  
Local Level ◽  
Regional Scale ◽  
National Income ◽  
Socioeconomic Groups ◽  
Fine Grained ◽  
Spatial Disparities ◽  
Socioeconomic Segregation ◽  
Migration Flows ◽  
The City

AbstractBrussels’ urban and suburban landscape has changed considerably since the 1980s. The consolidation of socioeconomic fractures inside the city, a reinforcement of long-lasting disparities between the city and its prosperous hinterland, as well as the increasing diversification of migration flows—both high- and low-skilled—contributed to these disparities. Recent evolutions of these patterns, however, have not been investigated yet and therefore remain unknown. Besides, the extent to which segregation is primarily related to economic inequalities and to migration flows—or a combination/interaction between the two—so far has not been studied. This chapter offers a detailed overview of the socio-spatial disparities in the Brussels Functional Urban Area. Our analyses relied on fine-grained spatial data, at the level of statistical sections and of individualised neighbourhoods built around 100 m x 100 m grids. We analysed socioeconomic segregation measures and patterns, as well as their evolution between 2001 and 2011. Socioeconomic groups were defined based on individuals’ position with respect to national income deciles. In line with previous research, our results show very marked patterns of socioeconomic segregation in and around Brussels operating both at a larger regional scale and at the local level.

A Territorial Dimension Can Be Useful for Managing Long-Term Regional Road Safety

2019 ◽  
pp. 248-267
Author(s):  
Alessandro Sciullo ◽  
Sylvie Occelli
Keyword(s):  
Spatial Data ◽  
Population Distribution ◽  
Local Level ◽  
Crash Data ◽  
Road Crashes ◽  
Fine Grained ◽  
Urban Settlements ◽  
Road Crash ◽  
Main Observation ◽  
Gis Methods

Analysis of road crashes at the local level is necessary for targeting and implementing effective countermeasures. This chapter presents a contribution to this task. It describes the research carried out in Piedmont, Italy, where an exploratory approach has been used to link road crash data with information about the spatial characteristics of urban settlements. The analytic strategy is developed in three steps. First, fine-grained spatial data for road crashes, land use, traffic counts, and population distribution are linked by GIS methods. Second, a selection of the data is implemented at the municipality level and processed through a cluster analysis to identify territorial accident profiles. Finally, to show their analytic potential, one case study is discussed that considers road segments as main observation units.

scholarly journals Measuring Spatial Cluster for Leading Industries in Surakarta with Exploratory Spatial Data Analysis (ESDA)

2017 ◽  
Vol 18 (1) ◽  
pp. 64
Author(s):  
Muhammad Arif ◽  
Didit Purnomo
Keyword(s):  
Data Analysis ◽  
Spatial Autocorrelation ◽  
Spatial Data ◽  
Regional Scale ◽  
Industrial Sector ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
Spatial Approach ◽  
Leading Industry ◽  
The City

Economic clusters are significant to support the economic growth, particularly at regional scale. The approach in the analysis has evolved from the emphasis on the comparison between the intra and extra regional into the spatial approach that is capable to detect the prevailing movement and concentration pattern in particular economic activity, hence the generated data is more informative and analyzable. This paper concentrates in identifying the location and assessing the economic clusters of leading industries in Surakarta City, Indonesia based on the number of units and labor absorption by using the Exploratory Spatial Data Analysis (ESDA). In association with the first objective, ArcGis was employed to find out how the concentration of leading industries in Surakarta was formed. The analysis revealed that the industries in Surakarta City have a propensity to be remote from downtown and concentrated in the northern part of the city. The second objective was revealed by performing the Moran’s index on GeoDa software to determine the spatial autocorrelation among the observed areas as the basis in finding the leading industrial cluster. The analysis indicated that all leading industries have relatively low Moran’s index meaning there was no dominant leading industry in Surakarta. These results have been confirmed by the LISA method to reveal the areas having spatial autocorrelation for each industrial sector.

Climate change awareness and climate-friendly activities: Identifying resident typologies in Košice, Slovakia

2021 ◽  
Author(s):  
Veronika Tóth ◽  
Miriam Šebová
Keyword(s):  
Climate Change ◽  
Latent Class ◽  
Public Awareness ◽  
Local Level ◽  
Climate Change Impacts ◽  
Adaptation Strategy ◽  
Climate Change Education ◽  
Socioeconomic Groups ◽  
Adverse Conditions ◽  
The City

The research focuses on studying climate change awareness and climate-friendly activities among different socioeconomic groups in the city of Košice, Slovakia. Public awareness is a key element when tackling complex issues demanding wide-ranging compliance across sectors and individuals. In order to assess the perceptions and activities related to the climate change, we analyze the data stemming from survey conducted during the last quarter of 2019. Applying latent class cluster analysis to the sample of 368 observations, we were able to identify four types of respondents. These groups differ in the degree of vulnerability to adverse conditions due to climate change. This study sheds light on how different groups of citizens perceive the threat of climate change impacts in their everyday lives and how they act in order to adapt. Such findings can be applied by policymakers at both national and local level when designing and communicating socially just measures reflecting the needs of all major types of citizens. The paper identifies four different groups of residents based on their perceptions of climate change and their activities to adapt. Each group needs to be considered separately when designing adaptation strategy in order not to exacerbate existing socioeconomic inequalities. The findings also point to the need to strengthen municipality's activities in the area of climate change education.

IMPLEMENTATION OF RESPONSIVE ARCHITECTURAL CONCEPTS IN THE DESIGN OF THE CIKOLE FOREST RESORT, BANDUNG, WEST JAVA

2019 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Whinda Rofika Arofah ◽  
Asep Yudi Permana ◽  
Riskha Mardiana
Keyword(s):  
Function Analysis ◽  
Regional Scale ◽  
High Demand ◽  
Tourist Destination ◽  
West Java ◽  
Nature Tourism ◽  
Site Analysis ◽  
Site Design ◽  
The City ◽  
Conceptual Relationship

Indonesia has a lot of potential for nature tourism in the form of mountains, sea, and beaches. This is also an attraction for tourists to make Indonesia as the preferred natural tourist destination when on vacation. Especially West Java, West Java is one of the provinces that are in great demand by local and outside tourists.Besides being famous for its local culture and its unique culinary variety, West Java is also known for its cool air, especially in some parts that are still preserved in nature, the natural potential that is still good and is maintained as an attraction for West Java to attract tourists. One of the famous areas in the city of Bandung which is a tourist destination is the Lembang Region.From the last five years the lodging area in Lembang has increased, currently in Lembang sub-district itself has 13 lodging units in the form of resorts. The amount itself is influenced by the high demand for lodging accommodation especially when the holiday season arrives. But of that number, resorts that have complete and well-maintained facilities and conditions are still not completely even. Based on this fact, the purpose of designing this resort is expected to be the best tourist area in the region to be able to adjust to the conditions of the land conditions, be able to use and not damage the existing land on the design land.The study used in this design is based on the description that occurs today with the support of the literature that supports the theory and analysis that is done. Implementation analysis was carried out using macro and microanalysis methods. Macro analysis is an analysis on a regional scale. While microanalysis is an analysis of the design site, which includes activity analysis, function analysis, space analysis, site analysis, shape analysis, and display and structural analysis and utility.The concept of site and building in this design will produce a conceptual relationship that will later become a guideline in making a design. This concept includes the proposed concept of site design, form, structure, and utility.

A Cohesive Analysis of Factors Affecting the Tourist Destination Image of Delhi

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Usha Arora ◽  
Deepti Dabas Hazarika
Keyword(s):  
National Income ◽  
Destination Image ◽  
Pertinent Literature ◽  
Tourist Destination ◽  
Factors Affecting ◽  
Tourism Marketing ◽  
The World ◽  
National Capital ◽  
Destination Management Organizations ◽  
The City

Economies all over the world are moving towards a focus on services. Tourism has emerged as a major contributor to economies all over the world. This is why specific focus is being placed on tourism, as Destination Management Organizations (DMOs) concentrate their efforts on tourism. India has been one of the countries where the share of tourism in national income has steadily been increasing. As the national capital, the city of Delhi has a major role to play in the tourist inflow to the country, as well as within the country. Successful tourism marketing requires that the concepts of tourist destination and underlying factors are comprehended in detail. An analysis of the available, pertinent literature on the area shows the manner in which numerous factors come together to form the image of a tourist destination. In fact, it needs to be understood that image formation may be done differently for different consumers. This further necessitates a detailed study of the factors influencing tourist destination image.

scholarly journals Sharing Lisboa: A Digital Social Market to Promote Sustainable and Energy Efficient Behaviours

Climate ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 34
Author(s):  
Catarina C. Rolim ◽  
Patrícia Baptista
Keyword(s):  
Climate Change ◽  
City Planning ◽  
Local Level ◽  
Urban Mobility ◽  
Goods And Services ◽  
New City ◽  
Social Market ◽  
The City ◽  
Academic Year ◽  
Change Mitigation

Several solutions and city planning policies have emerged to promote climate change and sustainable cities. The Sharing Cities program has the ambition of contributing to climate change mitigation by improving urban mobility, energy efficiency in buildings and reducing carbon emissions by successfully engaging citizens and fostering local-level innovation. A Digital Social Market (DSM), named Sharing Lisboa, was developed in Lisbon, Portugal, supported by an application (APP), enabling the exchange of goods and services bringing citizens together to support a common cause: three schools competing during one academic year (2018/2019) to win a final prize with the engagement of school community and surrounding community. Sharing Lisboa aimed to promote behaviour change and the adoption of energy-saving behaviours such as cycling and walking with the support of local businesses. Participants earned points that reverted to the cause (school) they supported. A total of 1260 users was registered in the APP, collecting more than 850,000 points through approximately 17,000 transactions. This paper explores how the DSM has the potential to become a new city service promoting its sustainable development. Furthermore, it is crucial for this concept to reach economic viability through a business model that is both profitable and useful for the city, businesses and citizens, since investment will be required for infrastructure and management of such a market.

scholarly journals Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Kang Liu ◽  
Ling Yin ◽  
Meng Zhang ◽  
Min Kang ◽  
Ai-Ping Deng ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Risk ◽  
Feature Vector ◽  
Urban Environments ◽  
Environmental Feature ◽  
Fine Grained ◽  
Environmental Features ◽  
Street View ◽  
The City ◽  
Dengue Epidemic

Abstract Background Dengue fever (DF) is a mosquito-borne infectious disease that has threatened tropical and subtropical regions in recent decades. An early and targeted warning of a dengue epidemic is important for vector control. Current studies have primarily determined weather conditions to be the main factor for dengue forecasting, thereby neglecting that environmental suitability for mosquito breeding is also an important factor, especially in fine-grained intra-urban settings. Considering that street-view images are promising for depicting physical environments, this study proposes a framework for facilitating fine-grained intra-urban dengue forecasting by integrating the urban environments measured from street-view images. Methods The dengue epidemic that occurred in 167 townships of Guangzhou City, China, between 2015 and 2019 was taken as a study case. First, feature vectors of street-view images acquired inside each township were extracted by a pre-trained convolutional neural network, and then aggregated as an environmental feature vector of the township. Thus, townships with similar physical settings would exhibit similar environmental features. Second, the environmental feature vector is combined with commonly used features (e.g., temperature, rainfall, and past case count) as inputs to machine-learning models for weekly dengue forecasting. Results The performance of machine-learning forecasting models (i.e., MLP and SVM) integrated with and without environmental features were compared. This indicates that models integrating environmental features can identify high-risk urban units across the city more precisely than those using common features alone. In addition, the top 30% of high-risk townships predicted by our proposed methods can capture approximately 50–60% of dengue cases across the city. Conclusions Incorporating local environments measured from street view images is effective in facilitating fine-grained intra-urban dengue forecasting, which is beneficial for conducting spatially precise dengue prevention and control.

scholarly journals Waterlogging Risk Assessment: An Undervalued Disaster Risk in Coastal Urban Community of Chattogram, Bangladesh

Earth ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 151-173
Author(s):  
Md. Rezuanul Islam ◽  
Debasish Roy Raja
Keyword(s):  
Spatial Data ◽  
Risk Index ◽  
Structural Data ◽  
Economic Loss ◽  
Primary Objective ◽  
Social Infrastructure ◽  
Simple Method ◽  
City Area ◽  
Inventory Map ◽  
The City

In recent years, rainfall-induced waterlogging has become a common hazard in the highly urbanized coastal city of Chattogram, Bangladesh, resulting in a high magnitude of property damage and economic loss. Therefore, the primary objective of this research was to prepare a waterlogging inventory map and understand the spatial variations of the risk by means of hazard intensity, exposure, and vulnerability of waterlogging. In this research, the inventory map and factors influencing waterlogging hazards were determined from a participatory survey, and other spatial data, including land elevation, population, and structural data, were collected from secondary sources. The analytical hierarchy process was applied to measure the hazard intensity, and the exposure and vulnerability were estimated by overlaying the spatial data onto the hazard intensity map. A total of 58 locations were identified as waterlogging affected, which covered ~8.42% of the city area. We showed that ~3.03% of the city area was greatly vulnerable to waterlogging in terms of their social, infrastructure, critical facilities, economic, and environmental vulnerabilities. The obtained waterlogging risk index map suggested that ~2.71% of the study area was at very high risk, followed by moderate (~0.15%), low (~3.89%), and very low (~1.67%). The risk analysis presented in this study was a simple method that can be applied to assess the relative risk of waterlogging in different regions, and the results were applicable to the prevention and mitigation of waterlogging for Chattogram City.

Austerity urbanism: Rescaling and collaborative governance policies in Athens

2017 ◽  
Vol 26 (1) ◽  
pp. 80-96 ◽  
Author(s):  
Ioannis Chorianopoulos ◽  
Naya Tselepi
Keyword(s):  
Urban Politics ◽  
Social Deprivation ◽  
Local Level ◽  
Third Sector ◽  
Balance Of Power ◽  
Collaborative Governance ◽  
The European Union ◽  
Partnership Approach ◽  
The City ◽  
Opening Up

This paper explores the urban politics of austerity in Greece, paying particular attention to ‘local collaboration’. It revisits the key austerity periods noted in the country since accession to the European Union (1981), and marks their impact in redefining central–local relations, amidst a broader rescaling endeavour. A direct link is identified between austerity-oriented pre-occupations and the introduction of territorial regulatory experimentations that rest heavily on local-level collaboration and competitiveness. The overall record of partnerships, however, has been appraised, up until recently, as underdeveloped. From this spectrum, we look at the latest re-organization of state spatial contour (2010). The influence of this rescaling attempt on local relational attributes is explored in Athens, in light of the emergent re-shuffling in the scalar balance of power rendering austerity pre-occupations a firm trait of the emerging regulatory arrangement. Examination focuses on key social policy programmes launched recently by the City in an attempt to ameliorate extreme poverty and social despair. In Athens, it is argued, a financially and regulatorily deprivileged local authority is opening up to the influence of corporate and third sector organizations. It adopts a partnership approach that is best understood as a form of ‘elite pluralism’, undermining local political agency and falling short in addressing social deprivation.

A Practitioner’s Perspective on Realignment

2016 ◽  
Vol 664 (1) ◽  
pp. 221-235
Author(s):  
Wendy S. Still
Keyword(s):  
San Francisco ◽  
Local Level ◽  
Interagency Collaboration ◽  
Cultural Barriers ◽  
Practical Implementation ◽  
Direct Experience ◽  
Policy Makers ◽  
Alternatives To Incarceration ◽  
Level I ◽  
The City

This article offers a practitioner’s perspective on California’s criminal justice Realignment. Drawing on my direct experience implementing Realignment as the chief probation officer in the city and county of San Francisco, I argue that the San Francisco case illustrates how decarceration can occur without compromising public safety, and I offer a set of lessons for practitioners and policy-makers about how to achieve decarceration despite local political, organizational, and cultural barriers. Specifically, I identify interagency collaboration, investment in community corrections and a commitment to alternatives to incarceration and community engagement with the families of both victims and offenders as key facilitators of decarceration at the local level. I urge observers not to dismiss these lessons as idiosyncratic to San Francisco’s unique locale. Rather, my experience has been that even San Francisco’s exceptionally hospitable local culture is not enough to successfully implement reform; structural arrangements that institutionalize the practical implementation of cultural commitments to reduce reliance on incarceration are required.

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