Dissertations / Theses on the topic 'Smart housing'

With the development of computer and information technology, information and network will be the inevitable trend of smart home which aims to offer a comfortable, efficient, and convenient home. In this thesis, the background, developments and limitations of smart home systems will be described. Wired and wireless technologies applied on the smart home network will be analyzed and a comparison of them will be made. Finally, the ZigBee technology is selected to design the wireless communication network. For the system design, the thesis describes an idea where cluster topology is chosen to design the smart home system and demonstrates the process of networking as well. Based on the Labview platform, a smart home system will be simulated to achieve the functions included in data acquisition, analysis, display and storage. More specially, I will focus on temperature monitoring and control of heating and cooling systems. Finally, an analysis of the advantages and disadvantages of the smart home system is given.

In recent years, the need for personal urban mobility has increased a lot especially in emerging and developing countries. It becomes increasingly important to explore propulsion systems that use alternative energy sources and are related to the chain of production, storage and use of renewable energy. Several studies have been conducted in this area, but very few have achieved solutions for the interaction of the vehicle with the building by which it is parked in terms of a multi-energy exchange. Technological innovation of house plant parts, of large residences / hotels, of shelter stations for vehicles, it is now crucial to implement the integration of more renewable energy sources within the same building structure: this is one of the aspects covered by the most general definition of "Smart Housing". Sustainable mobility is perceived as a strong need to match individual urban and sub-urban mobility, to the least environmental and social impact of such personal need. This research project proposes a possible scenario for energy integration between smart housing and smart mobility using a common energy platform that allows self-generation, storage and energy exchange between residential district buildings and smart vehicles. The project integrates multidisciplinary approaches with the aim of designing, evaluating technical and industrial feasibility for the development of: 1) Modular and scalable energy storage devices dedicated to a smart house. 2) a modular city vehicle, with high flexibility of use, with energy storage system and energy-efficient switching capabilities with smart building.

We are at the threshold of a great change in architectural design. With cheaper and more ubiquitous computing, ?smart? spaces and responsive environments are increasingly becoming plausible and affordable. Are we as architects prepared? Can the profession of architecture respond to current computing technologies? Most critics agree that one of the first (most important) problems that ?smart? homes will help to address is that of spiraling costs of elderly healthcare and care giving. But what is the problem with healthcare? Even if there is a problem, the rural home is different from an urban home. Will the technologies that are designed for the urban home work in a rural setting? What are the differences between urban and rural healthcare models? In this thesis, we address the above questions through research of current problems and models of rural healthcare and through a documentation of studies and reports published over the last decade. This research helps us to understand if architecture can really augment healthy aging in rural home settings. In conclusion, we will examine the role of architecture (and architects) in the context of ubiquitous computing and ?smart? spaces in rural areas and propose a possible solution for this problem.

Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 87-89).
Massachusetts and the Boston metro area benefit from a diverse and thriving economy. However, the metro area's cost of living, and housing prices in particular, are among the highest in the nation. Housing supply will not keep pace with forecasted demand over the next several decades, which will substantially reduce expected population and economic growth. In addition, the region is expected to see a shift in demand from single-family homes to multifamily apartments as younger people enter the workforce and look for housing in urban areas. If the region's housing stock does not adapt and provide the types of housing as well as the needed quantity, companies and individuals are likely to leave the area for regions with lower costs of living and easier access to housing. Fortunately, the Boston metro area has one of the most expansive commuter rail systems in the country. Many of the system's station areas are underutilized and have the potential to accommodate more units of housing if smart growth policies are implemented and development occurs. These station areas represent a future source of land area for transit-oriented development that few other regions can match. This thesis estimates the current supply of housing along the commuter rail system and estimates how much additional supply could be accommodated if municipalities pursued smart growth policies, like Chapter 40R, that encourage transit-oriented development near commuter rail stations. Recognizing that zoning changes and development are slow processes, this thesis also proposes a model for prioritizing what specific stations are most suitable for new housing development and most appropriate for smart growth advocates and housing developers to focus their zoning and development efforts.
by Jeffrey S. Schlossberg.
M.C.P.

There are extensive empirical studies on the impacts and effectiveness of Smart Growth policies; however, very few of them consider the perspective of individual decision makers and, to this author's knowledge, none have studied developers as location-aware decision-making agents. This study tries to fill this gap partially by assessing the impacts of Portland's smart growth policies on developers' location choice behavior with developer-based location choice models. The dissertation has two purposes. By assessing the impacts of Smart Growth policies on individual home developer's location choice, it provides a micro- and behavioral foundation for the understanding of Smart Growth policies. As a bi-state metropolitan area located on the border between Oregon and Washington, the Portland region provides a unique environment that allows my research to examine whether home developers react to Smart Growth policies differently in the two states with different land use policy systems. The dissertation also aims to create a developer-based land development forecast model, which can be used as a scenario analysis tool for the Portland region's long-term land use and transportation planning. Besides the developer location choice model mentioned above, the components of this comprehensive developer-based land development model also include a time series regression model that predicts annual new housing supply in the region and a model that synthesizes housing projects in a forecast year. The study shows that home developers in the Portland metropolitan area are sensitive to most Smart Growth policies that have been implemented in the region, but they react to them differently across the border between Oregon and Washington. Single-family home (SFH) and multi-family home (MFH) developers show different preferences for location attributes. The most significant predictors of where a developer will choose to locate a project are the locations of previous projects. After controlling for all of the other factors discussed above, there remains a strong preference for developing SFH units outside of the UGB in both Oregon and Washington sides of the Portland metropolitan area. Latent class models have been developed to detect taste variations among home developers in the SFH and MFH markets separately. Estimation results show clear taste variations across developers and housing projects with respect to site attributes in their location choice. With other variables in the segmentation model being the same, project size provides a better fit to the data than developer size, indicating that developers have taste variations among their different projects. Large size SFH projects developed by contractor-owners are more likely to be within the UGB and their locations tend to have higher residential density, housing diversity, transportation accessibility, road density, and land price. With most MFH projects within the UGB, estimation results show that large size MFH projects prefer the locations with higher residential density, housing diversity, mixed use, road density, land price, average household income, and proportion of young and middle age households. The three-step new housing supply and location choice forecast model seem to be able to capture the basic trend of housing market and land development in the Portland region. Three different aggregate housing supply forecast models, an conditional time series regressive model, a unconditional time series regression model, and an auto-regression integrated moving average (ARIMA) model were tested and their advantages and disadvantages were discussed. Both the SFH and MFH project synthesis models can simulate housing projects well for a forecast year. Three location choice models were developed to allocate synthesized housing projects into space. The three models are characterized separately as: (1) assumed market homogeneity and atomization of development projects; (2) deterministic market segmentation and synthesis of projects by size; and (3) probabilistic market segmentation and synthesis of projects by size, using a latent class approach. Examination of forecast results shows that all three models can successfully capture the basic spatial pattern of housing development in the region; however, the spatial distribution of MFH development is lumpier and more unpredictable. While Models 2 and 3 are more sophisticated and make more sense from a theoretical perspective, they do not return better forecast results than Model 1 due to some practical issues. Models 2 and 3 would be expected to perform better when those practical issues are solved, at least partially, in future research.

Thesis (Ph. D.)--Georgia State University, 2007.
Title from file title page. Charles Jaret , committee chair; Robert Adelman, Donald Reitzes, committee members. Electronic text (96 p. : ill.) : digital, PDF file. Description based on contents viewed Nov. 1, 2007. Includes bibliographical references (p. 88-94).

Do residents find value in smart home functions? How should these functions be designed to offer user benefit? These were the governing questions of this study that involved nearly 200 families in three different housing projects during five years of occupancy. The housing units were equipped with advanced smart homes solutions, electronic and digital devices to control them, and a set of functions to increase comfort, safety and security in the homes. The evaluations of the residents' use and benefits were accomplished in two different phases, i) evaluation of the user expectations' before and direct after occupancy and ii) long-term experiences after 3-5 years. A third phase of the study represents a radical shift in view. Issues related to innovation and organisation of service delivery were brought into the fore. The research is founded on the multiple case-based methodology. Literature studies were effected. Data acquisition was based on interviews and questionnaires. Theoretical models from different research areas were used in order to analyse observations and to arrive to grounded conclusions. Important conclusions include the fact that smart home functionalities must be developed as close as possible out of the users' genuine needs as experienced in their daily lives. Failure to attain accessibility to a certain function will cause disappointment and will be forsaken. To gain and over time preserve the user's trust in smart home functions or in a system as a whole is conclusive for the their use. Another conclusion is that a viable business model for smart homes must include the occupancy phase. Surveillance and maintenance of smart home systems must be secured over time. It is argued that the failure of establishing a viable long-term service to homes to the benefit to the user depends highly on the market’s ability to supply the homes with appropriate services over time. Possible ways to mediate revealed shortcomings are outlined and what role and responsibility the housing construction industry has to consider with the further development of smart homes.
QC 20100809

This thesis deals with an architectural case study of the city block in the Svitava industrial zone bordered by the Svitava river in the east, Ring road in the west, Milady Horákové street in the north and Zvonařka street in the south. Špitálka Smart City is located right in the centre of this area. The thesis is modeled on the Špitálka Smart City urban study, that was the outcome of the pre-thesis seminar in the winter term 2020/21. The urban study objective was the urban renewal of the Brno teplárny (heating plant) area and its surroundings as well as a design of a new urban boulevard. To effectively use the place a residential building with commercial spaces on the groundfloor has been designed. The building consists of four sections, which share two underground storeys providing parking space and space for building services. The case study further develops only the section that is labeled A in the study. Section A offers 23 housing units and a café. The design aims at high quality housing with a view of the city replacing the former industrial zone.

This research provides information about Economic Development Zones (EDZ) to help the reader understand these programs. For a business owner they are able to make informed decisions about the merits of these programs and decide whether it makes sense for them to relocate their businesses to Florida’s Economic Development Zones. What most readers do not know is that these programs and the operating condition of an Economic Development Zone can offer benefits to a business owner, allowing them to reduce their operating expenses and the cost of doing business. Over the past several years, the researcher discussed foreign trade opportunities with different individuals. One of these conversations was with the sale director of a company located at Sebring Airfield and Intermodal Facility in Sebring, Florida. In this discussion, the benefits of locating a business in an Economic Development Zone, within an economically depressed rural area of Florida, was introduced. This conversation led to researching what it takes to relocate or operate a business in Economic Development Zones located in rural areas. The basic purpose in creating an EDZ through local, state, and federal government agencies is to reduce unemployment in depressed areas of the United States. This goal is accomplished by incentivizing businesses to create jobs and make capital investments in those areas. Different levels of government offer incentives to companies for relocating or expanding their businesses by creating Economic Zones. The incentives for relocating, expanding, or starting a business in an EDZ can be very lucrative. Businesses look for every opportunity to reduce their operating expenses by reducing the cost of doing business. Through incentives and tax breaks, a business could reduce its yearly operating costs making them more competitive. The goal of companies is to reduce their overhead and the government goal is to create jobs which should be mutually supportive, yet it is not the case. This lack of awareness is a major contributing factor for why these programs are not successful. From prior research conducted during a literature review, there is very little information about these programs beyond government webpages. With the rapid turnover of programs due to the political election cycle, there is little current information on the most recent EDZ except what is offered at the Federal level. One of the challenges in starting operations in an EDZ is the identification of the different stakeholders for federal, state and local programs. The lines of communication and the delineation of responsibilities between the federal government, state, and local development councils can be very confusing. In order to navigate between the different programs a business owner needs to understand how support flows down to the local agencies. An interest trend from this research, is a clear lack of awareness about these programs. Most business leaders are not aware of their local economic development office and only a few businesses had received any benefits from this organization. There is a need for better awareness about these opportunities. After reading these articles, a business leader is able to make informed decisions about the merits of these programs and decide whether it makes sense for them to relocate or expand their businesses to Florida’s Economic Development Zones.

碩士
世新大學
資訊管理學研究所(含碩專班)
107
Since the introduction of "Smart Building" and the related systems in 1989, associated industries in Taiwan have experienced vigorous and rapid development, which also contributed to the economic advancement of the society. To realize the vision of developing public housing, Taipei City Government began planning and constructing the demonstration area of the Public Housing & Smart Community in 2016. 3%-5% extra fund was allocated to building automation, which utilizes technology on the design, construction, management and maintenance of public housing to enhance the convenience of the citizens and development of the city. This thesis is aimed at households in smart public housing that have certified as "Intelligent Building", and investigates the key factors of household user perception by questionnaire. It investigates the perceptions and feelings of residents in a "public residential community in Taipei City". A total of 133 effective questionnaires were collected. Through descriptive statistics, reliability analysis, validity analysis, factor analysis, chi-square test analysis, and independent samples t-test and analysis of variance, the results show that 86.5% of households promoting “Intelligent Building”; 91.7% of the households think that the government needs to increase the construction of smart public houses; 78.2% of the households indicate positive satisfaction and 84.2% of the households express their willingness to continue living. In terms of the perceptions of residents, the results show that the eight attributes of the household's age, education level, occupational category, working years, marital status, family size, public residence time and household income are all positive influence on the residents perceptions.

No
Smart Sustainable Cities (SSC) consist of multiple stakeholders, who must cooperate in order for SSCs to be successful. Housing is an important challenge and in many cities, therefore, a key stakeholder are social housing organisations. This paper introduces a qualitative case study of a social housing provider in the UK who implemented a business intelligence project (a method to assess data networks within an organisation) to increase data quality and data interoperability. Our analysis suggests that creating pathways for different information systems within an organisation to ‘talk to’ each other is the first step. Some of the issues during the project implementation include the lack of training and development, organisational reluctance to change, and the lack of a project plan. The challenges faced by the organisation during this project can be helpful for those implementing SSCs. Currently, many SSC frameworks and models exist, yet most seem to neglect localised challenges faced by the different stak

Public transportation policy plays a significant role in facilitating ridership as well as travel modes, economic activities, and environmental aspects. Seoul has experienced rapid urbanization. Also, high density developments and uncontrolled land use gave rise to extensive urban sprawl in the Seoul Metropolitan Areas (SMA). Due to increased use of private vehicles, which created serious traffic congestion, the Seoul Metropolitan Government (SMG) has reformed public transportation policies-introduced bus transportation reform (BTR) in 2004 and reformed fare and ticketing structures in 2009. This research focuses on the relationships between socioeconomic characteristics and commuting patterns by applying smart card data that includes individual travel behaviors during commuting periods. Among regression results, average commuting times are significantly associated with the proportion of population with lower levels of education and the number of public transit stations. These results appear to support the idea that the lower educated people in each district tend to have longer commuting times. Also, the greater availability of public transit stations contributes to shorter commuting times. Finally, analyzing commuting times seems to be important for determining demographic movement as well as locational advantages in certain regions of Seoul based on public transportation policies.

碩士
淡江大學
公共行政學系公共政策碩士班
106
The public services are to create public values, the process of policy making thus should be embedded in the cognitions and comprehensions of public policies by the public, elevating the performance of public policy then. Digital technological tools have become one of the strategies of policy marketing, and as well as making stakeholders acquire information beyond the boundary of time and space. Within the scheme of public housing marketing of Taipei City Government, digital technological tools have been utilized to disseminate relevant public housing policy besides the issued papers, the public hearings, and the public seminars. Now the policy of smart public housing community only is introduced by professional website, the reviews should be taken to see whether the effectiveness of policy marketing could be built through digital technological tool. The results reveal that the adoption of digital technological tool in the smart public housing community policy majorly should be based on the trustworthiness of the public, and the assessment of feasibility of the mechanism of digital technological tool operation. Importantly, the impact assessment of digital technological tool should continuously be examined and interfered to pursue the best effectiveness.

Smart Growth is a comprehensive approach to planning that aims to shape more compact and well-connected communities across the United States. Among its principles are leveraging existing infrastructure, developing around transit, providing a mix of housing types and price ranges, and increasing community participation in the planning process. However, research suggests the comprehensive approach at times obscures potential tensions between these principles, in particular when Smart Growth principles are applied to a specific property. This is the case in Austin, Texas’ Lamar/Justin Lane TOD, where the City of Austin is currently evaluating development scenarios for a publicly-owned 5.6 acre parcel located within the TOD area. How equity and access is addressed in Smart Growth comes to fore in conversations between the City and affluent, neighborhood residents. This report examines the history of Smart Growth, reviews its implementation in cities across the U.S., and considers how the City of Austin may learn from other cities.
text

Nel contesto di una società che invecchia, l’innovazione tecnologica che accompagna le mutazioni imposte dall’era digitale apre nuove frontiere e ambiti di ricerca sul tema degli spazi abitativi per anziani. L’opportunità offerta dall’inserimento di sistemi digitali nell’ambiente costruito prefigura nuovi scenari abitativi e una generale ottimizzazione delle prestazioni ottenibili sulla base di una gamma di soluzioni intelligenti - quindi smart - opportunamente predisposte. Il proliferare di prodotti all’avanguardia provenienti dal settore informatico e di componenti di automazione domestica concepite in ambito industriale incoraggia la definizione di modelli abitativi innovativi in grado di interagire con l’utente e il sistema urbano e consente la configurazione di rinnovate soluzioni - spaziali e tecnologiche - interoperabili. L’adozione di strumenti interattivi, come piattaforme Ambient Assisted Living, e di principi propri della modellazione informata rappresenta la metodologia più adatta a supportare il processo di progettazione e gestione delle informazioni derivanti dall’introduzione negli edifici residenziali di nuovi sistemi digitali, a servizio di una società sempre più anziana, ma anche più smart.

The theme of the master's thesis: automation of processes of management of residential complexes and business centers based on digital technologies. The relevance of this thesis is due to the increasing role of automation of information systems in all sectors, including in the field of management of residential buildings. The ability to implement developments on this subject can not only improve the efficient use of resources, but also qualitatively affect the lives of citizens. The purpose of the master's thesis is to develop a model of automation of projects of management of residential complexes and business centers based on digital technologies. To achieve this goal, the following tasks were performed: - studied the theoretical issues of automation in the management of real estate; - product requirements are formed from the point of view of the management company; - the analysis of the feasibility of product implementation for the management company; - estimated economic efficiency. The object of research is an automated control system of residential complexes and business centers. The subject of research is the management of residential buildings and business centers.
Актуальность данной диссертации обусловлена возрастающей ролью автоматизации информационных систем во всех отраслях, в том числе и в области управления жилыми зданиями. Возможность реализации наработок по данной тематике может способствовать не только повышению эффективного использования ресурсов, но и качественно повлиять на жизнь граждан. Целью магистерской диссертации является разработка модели автоматизации проектов управления жилыми комплексами и бизнес-центрами на основе цифровых технологий. Для выполнения этой цели были выполнены следующие задачи: - изучены теоретические вопросы автоматизации при управлении объектами недвижимости; - сформированы требования к продукту с точки зрения управляющей компании; - проведен анализ целесообразности внедрения продукта для управляющей компании; - оценена экономическая эффективность. Объект исследования – автоматизированная система управления жилыми комплексами и бизнес-центрами. Предмет исследования ‒ процессы управления жилыми домами и бизнес-центрами.