ABSTRACT
After the detection of the first official case diagnosed with COVID-19 on March 2020, the new package called as "Economic Stability Shield” have been implemented in Turkey to minimize the effects of the pandemic. As in all sectors, the epidemic caused various changes in the real estate sector. The demands of citizens who stayed in homes for a long time during the epidemic period have also changed when buying a house. This study aims to investigate the importance of selection criteria for buying a house criterion in the real estate sector and to determine the most suitable house of via a Multi-Criteria Decision Making (MCDM) approach. By integrating Fuzzy Analytic Hierarchy Process (FAHP) and Multi-Attribute Ideal Real Comparative Analysis (FMAIRCA), the assessment criteria of buying house and suitable houses are evaluated. While making this evaluation, the weights of the criteria are obtained by pairwise comparisons under fuzzy environment through collected from five households living in Konya. Next, the FMAIRCA method is used to rank the candidate houses according to the views of the households. As a result of the study, it has been determined that the criteria of eligibility for credit are the most important criteria. For the case study, we perform a comparative analysis on the performance of fuzzy TOPSIS and fuzzy VIKOR in buying a house. Our comparative analysis for this case study shows that the three fuzzy MCDM methods achieve the identical rankings. © 2023 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.
ABSTRACT
The COVID-19 pandemic has affected our living experiences in cities and neighbourhoods. It is urgently necessary to understand more about place attachment and human-environment interactions in urban communities. Master-Planned Estate (MPE) as a sustainable residential form, provides physical and social infrastructures to build a healthy community and sustainable environment. Place attachment is one essential factor of community sustainability. However, there is a significant research gap in exploring the relationship between neighbourhood built environment and place attachment in MPEs. This study investigates the associations between community parks and place attachment in MPEs in Sydney. Using the data collected via a resident survey in two MPEs in Sydney during the COVID-19 pandemic in 2021, we found that three factors of community park use are significantly and positively associated with place attachment: pedestrian accessibility to parks, pedestrian connectivity with surroundings and satisfaction with children's playground in parks. This study provides theoretical, empirical, and practical contributions to sustainable communities. It tests place attachment theory in the Australian MPE context. It provides first-hand empirical evidence to understand human-environment interactions in MPEs and adds evidence from the COVID-19 context to the literature. The findings provide practical implications for sustainable urban communities in Sydney or wider regions.
ABSTRACT
On 4 July 2020, in response to a developing 'second wave' of COVID-19 cases, Victorian Premier Daniel Andrews announced that a hard lockdown would be immediately implemented in nine public housing towers in Melbourne, Australia. Approximately 500 police were dispatched to implement this lockdown, with residents prevented from leaving their buildings. Over the next fortnight, young residents in these towers, often from socially- and economically-marginalised communities, emerged as advocates for their fellow tenants, using various social media platforms to broadcast their experiences. In this article, we analyse social media posts published by 28 social media users throughout June and July of 2020, which reported on the experiences of people living within the public housing towers during the hard lockdown. We draw on the concept of territorial stigmatisation tounderstand and frame how a traditionally stigmatised physical space is reclaimed via a digital medium. We explore the potential for young people to use social media to challenge territorial stigmatisation and construct alternate representations of place and community. [ FROM AUTHOR] Copyright of Journal of Youth Studies is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Big Data has transformed the workings of real estate firms by improving the efficiency, cutting costs and by enhancing decision making. It helps them to become more agile for improved customer satisfaction and experiences. In the past, real estate businesses had to follow traditional methods by following past trends and professional expertise to make major decisions. Big Data has become much easier to access accurate real data, make conclusions and to even predict future prices of properties. This research uses machine learning algorithms for the appraisal of property prices in New York City. The methods are applied to the data sample of about 80,000 properties, which have sufficient information about each property and its demographic aspects. By further analysis and modelling, it is observed that model with Feature Engineering has performed much better that the model in which Random Forest was implemented. The conclusions drawn from the empirical study would be beneficial for real estate agents and people who are looking forward to invest in New York properties and understand the variation of property prices of New York in the post covid era in comparison to the pre covid era. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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This study examined the relationship between green metal price shocks and green real estate development using the Structural Vector Autoregressive (SVAR) model. Real-time daily dataset for the study covers the period from January 4, 2021, to December 30, 2022. The findings are presented using two methods: cumulative impulse responses and variance decompositions. The cumulative impulse responses show how structural shocks affect the volatility of green real estate over time. The variance decompositions show the percentage of the variation in green real estate volatility that is caused by each structural shock. The results showed that green real estate development responded negatively to green metal shocks for at least half of the observed period, and the energy price, specifically oil, had a greater and more persistent negative impact. This suggests that changes in oil prices may continue to have a significant influence on the development of green real estate projects and the broader transition towards environmentally sustainable practices in the construction industry. The explained variable, on the other hand, had a positive response to shocks associated with green finance in the latter part of the observed period. Policy and practical implications of the findings have also been discussed. © 2023
ABSTRACT
The covid-19 crisis has severely affected the dynamics of the real estate sector, which is facing various financial and structural problems. The current real estate world is complicated by the lack of transparency in transactions such as rental, purchase, and sale, and it does not reach the level of confidentiality and authenticity of operational data. In addition, real estate financing brings together several players such as banks, notaries, and others, which makes the acquisition of real estate very expensive. With the advent of blockchain technology, many fields such as finance, accounting, and real estate have received a positive impact using the benefits of this technology. This article aims to reorganize real estate into a next-generation digitized system based on blockchain technology, by proposing a crowdfunding model that aims to eliminate intermediate, costs. Moreover, this model can allow to customers, who do not have immediate financing, the possibility of acquiring real estate. We also present the implementation of this model through smart contracts and the blockchain to set up a decentralized platform that ensures the security, traceability, and transparency of transactions. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Covid-19 has dealt an unprecedented hit to the global economy and all industries, with varying degrees of decline from retail to real estate. This volatility is most evident in stock prices. Previous stock price forecasting methods typically used historical data for each stock as a separate input into the system. This paper proposes an attention-based parallel graph convolutional network framework, which consists of two parallel GCNs. The first GCN takes stock features as input, and the second GCN takes other industry features as input, and sets an attention model to reflect the pairwise interactions between networks. Experimental results on selected stock data show that the model outperforms both the LSTM model and the GCN model in accuracy and F1 score. © 2022 IEEE.
ABSTRACT
This paper uses research conducted in Swiss post-war high-rise estates to focus on policies and practices of community building in neighbourhoods with an increasingly diverse population. Initially, the estates were mainly populated by Swiss and Southern European lower to middle income families, but latterly the household structures have become very heterogeneous with residents coming from all over the world. The planning and development policies of the estates are based on specific ideas about creating a community, which are still evident in the building and management of community centres but also in various facilities for common use (playgrounds, football and sport fields, community rooms and kitchens, libraries, petting zoos, cafés, crafts rooms, etc.). The community centres, along with community work, are key to encouraging encounters, connecting people and activating cultural life in the neighbourhoods and have played a pioneering role far beyond the boundaries of their respective estates. However, individualisation and pluralisation processes, the aging of the facilities and built structures, and economic pressures pose challenges for the community centres. The current Covid-19 crisis reinforces these challenges by limiting and impeding cultural activities and direct (physical) social encounters. The paper analyses the potential and the challenges of community building in the context of growing diversity among residents, and acknowledges what we can learn from these experiences when thinking about creating and strengthening communities in a multi-faceted world today. Copyright © 2022 (Althaus, E., Christensen, L.)
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The study focuses on the ambient air pollutants levels before and during the COVID-19 pandemic in two major industrial estates. The data was collected from different Environmental Protection Agency (EPA) certified laboratories. The results revealed that before the COVID-19 pandemic or lockdown the levels of ambient air pollutants were above the Punjab Environment Quality Standards (PEQs) limit, during lockdown conditions these were within PEQs limits. The change was gradual due to a decline in emissions coming from different sources like vehicles and industries during the period of COVID-19 and limited human movement within the study area. The Sunder Industrial Estate (SIE) was less polluted as compared to Quaid e Azam Industrial Estate (QIE), but in the case of different pollutants, some pollutants in SIE were high compared with QIE. It was observed that the ambient air pollutants meditations will reduce regularly and keep declining to the least limit during the COVID-19 induced lockdowns. In crux, the quality of ambient air in the study area improved notably during the lockdown registering reduced concentrations of NOx, SO2, SPM, CO, and PM emissions, resulting in health benefits for the population. © 2022, HARD Publishing Company. All rights reserved.
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NHS leaders have told governments what UK and Welsh funding priorities should be in future budgets as fears grow some Welsh NHS organizations will not break even this financial year. According to a new paper by the Welsh NHS Confederation, government needs to review the long-term funding model for health and social care because without further investment, patient experience and quality of care will suffer. NHS leaders say funding priorities should include the ongoing costs of Covid-19, recovery of care services, the backlog in elective care and the maintenance of NHS estates -- including reducing carbon emissions. The rising cost of healthcare was blamed on Covid-19, a growing and ageing population, developments in medical technology, increases in energy prices, pay and price inflation, pharmaceutical developments, and recruitment and retention challenges, while both demand on, and expectations of, the NHS continue to increase.
ABSTRACT
This research aims to study home design guidelines in this new era in Thailand. The data were collected by conducting a semi-structured interview with three groups of key informants, including five participants – academics and real estate experts, five participants – residential project developers listed on the Stock Exchange of Thailand (SET), and home builders, the members of the Association of Home Builders of Thailand, and five participants – architects of a design company using design thinking, which is a creative human-centered problem-solving approach to better meet the needs of residents. Moreover, they are housing designers and developers in Thailand. The data were analyzed using content analysis. The research results revealed that the home design principle consistent with Thai residents' new normal era behavior is a house with feel-good qualities, including flexibility, good hygiene, security, privacy, environmental friendliness, and convenience. In the new-normal era, homes should have private spaces to work or study from home, multi-purpose areas, an enlarged kitchen and increased functionality, a designated parcel receiving area, and/or a storage area. The building assembly system installation that enhances good health and comfort in living is also recommended. These valuable, novelty results might also lead to Thailand's real estate business development trends. Not only for housing residential designers and developers but also for other related business suppliers associated with new product development for home innovative inventions and technologies in the future. © 2022 Hunan University. All rights reserved.
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The contribution addresses the issue of the sustainable transformation of the urban and built environment through a reflection on the strategic and design opportunities for the renewal of public residential neighbourhoods. The state of the art, analysed in the first part of the article, consists of an examination of strategies, policies and good practices of urban sustainability, useful to define the analytical framework of the research, presented in the second part of the contribution. The theoretical perspective and the research results applied to the case study take into account the transformations induced by the global Covid-19 pandemic and is therefore placed in a post-pandemic perspective. Enabling technologies at the urban scale, related to mobility and urban and residential public spaces are addressed. At the architectural scale, the new spatial and technological needs of living are examined, which are combined with the need to renew the residential housing stock, now structurally and technologically obsolete. In the last part, the partial results of research applied to the case study of the INA CASA Sbarre Inferiori public housing estate in Reggio Calabria, the object of theoretical and design analysis, are presented. The contribution aims to highlight the design opportunities for this urban context with a view to ecological transition and sustainable development, showing how to design experimentation on the scale of the residential district can be readapted to the dimension of the village or small town. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
A central issue that was recently discussed within the commercial real estate community is how the COVID-19 pandemic, and possible future pandemic events, will affect the operational performance in the long-term. Various additional factors such as confinement restrictions, lockdowns, and the reduced occupancy levels put operators under significant pressure, and force them to look for energy efficient solutions and find the right balance for the financial side while ensuring healthy environment for clients and tenants. In this paper, we present a preliminary analysis and evaluate the impact of the pandemic using real-life data collected from several commercial buildings in Estonia. The results indicate that after two years of the pandemic the situation stabilized, which may support the claim that the right balance was found at least in the current situation. © 2022 IEEE.
ABSTRACT
The paper start describing the change of relationship between the evolution of real estate market, housing services, and economic crisis due to the covid pandemic event. Looking more in detail housing and hosting services we can discover the evolution of concept of home-service as the reference point for a different number of activity. In the same time the housing services, considered as a facility for external city users changed their characters and relevance. The transition of urban costumes from the pre-pandemic era to the post pandemic ones generated new use values as a consequence of new costumes. The use of the networks for communicating and collaborating from home instead that from offices and clerk’s workplaces changed office attitudes, but in the same time reduced the usefulness provided by housing stocks addicted to guest foreign city user. The paper describes the evolution of the interpretation of role of housing services, and the consequent change of use-values, in a city that is characterized by the presence of many guests workers, that use housing services by renting flats that have been unused in the most recent years, in the pandemic era, that compelled renters to become travellers. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
This article portrays the different temporal phases (past, present and future) in the real estate sector, focusing its purpose on digital marketing as one of the main and most important tools in the lives of professionals in the sector. This type of marketing, combined with the impact of the COVID-19 pandemic, has been influencing the demand and supply of properties in the current market. © 2022 IEEE Computer Society. All rights reserved.
ABSTRACT
This paper studies the causes of household liquidity constraints in China, the inhibiting impact of liquidity constraints on aggregate demand, and the amplifying effect of liquidity constraints on the negative impact of the COVID-19 pandemic. Using the China family panel studies (CFPS) 2010-2018 and Internet survey data during the pandemic, we analyze the impact of the "income effect" caused by income decline and the "debt overhang effect" caused by real estate boom on household liquidity constraints. Furthermore, we also explore the amplifying effect of liquidity constraints on negative demand shocks during the pandemic. We find that, liquidity of Chinese households had been gradually deteriorating before the pandemic, specially, from 2010 to 2018, the ratio of China's households who were subject to liquidity constraint was increasing from 24.37% to 35.31%. For the middle-income class, compared with the "income effect", the "debt overhang effect" is more significant, and is the main driver of making households possibly subject to liquidity constraints. Meanwhile, liquidity constraints significantly affect consumption, compared with households without liquidity constraints, households with liquidity constraints decrease their consumption by 6.9%. To the amplifying effect of liquidity constraints on the impact of pandemic, we find that, compared with homeowners without mortgage, homeowners with mortgage and households without housing both reduced more consumption, saved more, are also more likely to fall into liquidity constraints, and more conservative on consumption in the second half of 2020. This paper not only provides a new explanation for the sluggish consumption in China, but also provides a basis for demand-side reform. © 2022, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
ABSTRACT
The Covid-19 pandemic has caused many changes in life situations and prompted the Indonesian Government to make a strategy by developing industrial estates in the context of national economic recovery. One of the prioritized locations to become an industrial area is the Batang Integrated Industrial Estate with the support of the Container Port. Considering that the sea side of the industrial area is an area of fishing activity, it is certain that there will be lost fishing grounds due to the construction of the port. This study aims to analyze the types of boundary breakwaters in the port that are appropriate for optimizing fishing grounds. The results show that technically the offshore breakwater design does not interfere with port activities, so that 77.19% of the total area that has the potential to be lost if using shore connected breakwater can still be used for fishing activities. © 2022, BIOFLUX SRL. All rights reserved.
ABSTRACT
Different population among the states shows a heterogeneous housing price trend during the past years. Any possible abnormal migration will cause price change. Thus, the migration could be tackled by comparing the current price trend with the data in past 10 years. COVID-19 is a strong effect which could cause migration. In order to observe the possible migration under this situation, wo high-population states were chosen as examples - California and New York, to compare with two low-population states - Nevada and Ohio. Three machine learning techniques have been used (Random Forest, XGboost, and Ridge and Lasso regression) to forecast housing price in U.S.: the difference between the real price and forecast price trend will show the amount of real estate transactions affect by the pandemic. The observed data was compared with the predicted results after COVID-19. The final result didn't show a strong evidence that would verify a possible migration, but the answer will be clearer with further studies. © 2021 IEEE.
ABSTRACT
Accommodation is one of the basic needs for travelers, tourists, students, and employees. Accommodations range from low-budget lodges to world-class luxury hotels, but finding the preferable accommodation is undoubtedly a tedious task. And due to the COVID-19 pandemic, it has become problematic state to visit each accommodation property to check whether it's suitable for the accommodation seeker, considering the location, environment, and to check if the property matches the user's preferences. There have been incidents reported where thousands of people have been victimized because of contract breaches in the accommodation and real estate sectors, recurring from contract alterations. Considering these problems, we have proposed a system to provide solutions using Natural Language Processing (NLP), Automatic Speech Recognition (ASR), Augmented Reality (AR), Block-chain, and K-Nearest Neighbor (KNN). This system provides an efficient approach to viewing the exterior and interior of an accommodation using 360-degree views, providing recommendations to the user based on user preferences using KNN and cosine similarity, providing security in a digital agreement using blockchain technology, and a map navigation system using ASR. With the aid of the previously mentioned techniques, a mobile application prototype is created with the possibility of future testing and implementation. © 2021 IEEE.
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Key Actions Necessary to Optimize Energy and Facilities Management Performance Post Covid-19 • Re-evaluate supply chain and procurement processes/protocols • Re-evaluate supplier/vendor relationship expectations • Evaluate facilities and real estate requirements • Develop additional benchmarks for monitoring Building Quality, Safety and Health • Evaluate and introduce new technologies • Identify communication opportunities and technology requirements • Identify health and wellness opportunities and implement where appropriate • Identify communications/collaboration opportunities with customers, service providers and leadership • Identify enhanced sanitation, sterilization and quality enhancements • Develop enhanced real estate design/layout and space planning process © 2021 AEE World Energy Conference and Expo 2021. All rights reserved.