Relevant bibliographies by topics / Residential characteristics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Residential characteristics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Residential characteristics"

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Feng, Guoqiang. "Research on Spatial Distribution Characteristics of Residential Homes with Rural Characteristics in China." E3S Web of Conferences 251 (2021): 03043. http://dx.doi.org/10.1051/e3sconf/202125103043.

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In view of the current situation of the development of residential accommodation in rural areas in China, this paper starts from the spatial distribution and structural characteristics of residential accommodation with national characteristics, taking the national rural characteristic hostels as the research object, analyzes the spatial distribution characteristics of the characteristic hostels in the whole country by using the inverse distance weight method and Kriging spatial interpolation method, and visually expresses the development status of the characteristic hostels in the whole country by using the spatial thermal diagram.The experimental results show that the distribution of residential accommodation with rural characteristics in China has strong spatial agglomeration characteristics. Residential accommodation with rural characteristics in China is generally positively correlated with population density, occupied area and GDP in various regions. Relying on the beautiful natural environment and simple human resources, the development of the rural residents’ lodging has made the rural residents’ lodging itself a tourism attraction, transforming the disadvantages into advantages, driving the development of rural tourism and related industries, stimulating the employment of farmers and promoting cultural revival and the prosperity of the common people.
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C. M. Partsch, A. R. Jarrett, and T. L. Watschke. "Infiltration Characteristics of Residential Lawns." Transactions of the ASAE 36, no. 6 (1993): 1695–701. http://dx.doi.org/10.13031/2013.28513.

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Kim, Byung-Suk. "The Effects of Residential Characteristics of Single Person Households on Residential Satisfaction." Journal of the Korean Urban Management Association 32, no. 1 (March 31, 2019): 69–80. http://dx.doi.org/10.36700/kruma.2019.03.32.1.69.

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Chua, Shirley Jin Lin, Najilah Bt Zubbir, Azlan Shah Ali, and Cheong Peng Au-Yong. "Maintenance of high-rise residential buildings." International Journal of Building Pathology and Adaptation 36, no. 2 (May 14, 2018): 137–51. http://dx.doi.org/10.1108/ijbpa-09-2017-0038.

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Purpose Preventive maintenance is an effective maintenance strategy to ensure the constant and efficient usage of building systems and their components. The reactive-based maintenance as the main strategy in high-rise residential buildings is a concern as the maintenance output resulting from the strategy could not achieve the standard level of performance. The purpose of this paper is to identify the characteristics of preventive maintenance and establish the relationship with maintenance performance in high-rise residential buildings. Design/methodology/approach The characteristics of preventive maintenance and maintenance performance parameters were identified through the literature review. A quantitative approach was adopted, where a questionnaire was distributed to the maintenance personnel of high-rise residential buildings. Then, ranking analysis and correlation were conducted to produce findings that help to achieve the research objectives. Findings The research findings indicate that there are seven maintenance characteristics significantly correlated with maintenance performance indicators (maintenance costs deviation, time variance of maintenance work, customer service and downtime rate). It is recommended that these characteristics are considered during the execution of preventive maintenance as they have a significant effect on the maintenance performance. Originality/value The extensive literature suggests the relationship between the characteristics of preventive maintenance and maintenance performance, but is still questionable. Thus, this research investigates the relationship between preventive maintenance characteristic and maintenance performance for high-rise residential buildings in Malaysia. The findings of the research can act as a guide for maintenance personnel to optimise maintenance performance by focusing on the highlighted preventive maintenance characteristics.
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Оберемок, Марина, Marina Oberemok, Андрей Наумов, Andrey Naumov, Марина Щенятская, and Marina Schenyatskaya. "QUALITATIVE ANALYSIS OF VIEW CHARACTERISTICS OF RESIDENTIAL PROPERTY." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 4, no. 3 (April 10, 2019): 44–51. http://dx.doi.org/10.34031/article_5ca1f631244a52.27503491.

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Some kinds of residential real estate are characterized by a special view from the windows. Apartments with unique characteristics are in high demand among the population, therefore the cost of these objects exceeds the average market price. As a rule, developers try to make the best use of the visual prospects of residential real estate. The paper provides a qualimetric analysis of estimation the view characteristics of apartments in Belgorod based on the demand factors. There is the classification of view components of residential real estate on the basis of urban planning, aesthetic, emotional and other functions. Conclusions on the cost of the view are formed taking into account the criteria of its attractiveness. Functional dependence is obtaine. It allows to determine the surcharge to the cost of residential real estate based on differences in the view. The practical aim of determining the specifics of apartments pricing with a view is the ability to manage demand and to improve the efficiency of residential real estate development.
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Suto, Chiharu. "K06 House dust mites and residential characteristics." Medical Entomology and Zoology 49, Supplement (1998): 27. http://dx.doi.org/10.7601/mez.49.27_2.

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UyEKI, Eugene S. "Residential Location and Satisfaction with Neighborhood Characteristics." Journal of Urban Affairs 7, no. 4 (September 1985): 37–50. http://dx.doi.org/10.1111/j.1467-9906.1985.tb00093.x.

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Lin Lee, Chyi. "The inflation-hedging characteristics of Malaysian residential property." International Journal of Housing Markets and Analysis 7, no. 1 (February 25, 2014): 61–75. http://dx.doi.org/10.1108/ijhma-10-2012-0053.

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Purpose – This study aims to extend the current literature by examining the inflation-hedging effectiveness of Malaysian residential property in the short run and long run. Malaysia is an emerging market and has some unique characteristics. Therefore, a dedicated study in this market is critical. Design/methodology/approach – The analysis of this study involves two stages. The first stage is to estimate the inflation-hedging ability of Malaysian residential property in the short run. The Fama and Schwert model was employed. Thereafter, the long-run inflation-hedging effectiveness was assessed by using a dynamic ordinary least squares (DOLS) model. Findings – The Fama and Schwert tests reveal that Malaysian residential property does provide some satisfactory hedge against the expected inflation component over the short run. However, variations are evident among different types of residential property. The DOLS results provide strong evidence to support that housing is an effective hedge against the expected inflation in the long run, whereas no comparable evidence is found for the unexpected inflation component. Practical implications – The findings enable more informed and practical investment decision-making regarding the role of housing in inflation risk management. Originality/value – This paper is the first study to offer empirical evidence of the inflation-hedging attributes of Malaysian residential property. Moreover, the inflation-hedging effectiveness of different types of residential property is also compared for the first time.
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Guo, Hong Yu, and Yun Nan Cai. "Discussion about Type Characteristics and Design Strategic Focus of Residential Area Landscape." Applied Mechanics and Materials 357-360 (August 2013): 2071–74. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2071.

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Based on the division of typical residential landscape types, this article analyzes the emphasis of different landscape design and provides positioning reference to the residential area landscape design. It judges residential area landscape design's main principle, discusses its measure of value and expounds the key characteristics of design strategy to provide useful references for residential area landscape design.
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An, Pengfei, Can Li, Yajing Duan, Jingfeng Ge, and Xiaomiao Feng. "Inter-metropolitan land price characteristics and pattern in the Beijing-Tianjin-Hebei urban agglomeration, China." PLOS ONE 16, no. 9 (September 1, 2021): e0256710. http://dx.doi.org/10.1371/journal.pone.0256710.

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Land prices are the key problem of urban land management, with prices of residential land being the most sensitive and the strongest social reflection among the different land types. Exploring spatial and temporal variation of residential land prices and the effect of land market factors on residential land prices can help the government formulate targeted regulations and policies. This study analyzes the spatial and temporal evolution of residential land prices and the factors influencing the land market in the Beijing-Tianjin-Hebei region based on land transaction data from 2014–2017 using exploratory spatial data analysis (ESDA) and a geographically weighted regression (GWR) model. The results show the following: ① Residential land prices in Beijing and Tianjin are significantly higher than those in other regions, while Zhangjiakou, Chengde, and western mountainous areas have the lowest residential land prices. Over time, a development trend of residential land price polycentricity gradually emerged, and the locational correlation has gradually increased. ② Under the influence of the land finance model of local governments in China, three factors, namely, the land stock utilization rate, revenue from residential land transfers, and the growth of residential land transaction areas, have significantly contributed to the increase in residential land prices. ③ Under the land market supply and demand mechanism and government management, four indicators, namely, the land supply rate, the per capita residential land supply area, the degree of marketization of the residential land supply, and the frequency of residential land transactions, have suppressed the rise in residential land prices. ④ The overall effect of land market factors on residential land prices in the central and northern regions of Beijing, Tianjin and Hebei is stronger than that in the southern regions, which may be related to the more active land market and stricter macromanagement policies in Beijing, Tianjin and surrounding areas.
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Dissertations / Theses on the topic "Residential characteristics"

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Beck, Jason S. "THREE ESSAYS ON RESIDENTIAL REAL ESTATE BROKERAGE." UKnowledge, 2009. http://uknowledge.uky.edu/gradschool_diss/754.

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The first essay investigates how individual characteristics influence sales outcomes for houses they help transact. It develops hedonic housing models to assess the impacts of agent characteristics such as the level of recent and concurrent agent activity on sales outcomes (price and time on market). This is done in a Multiple Listing Service (MLS) setting using seven years of data obtained from a large Midwestern city. I find evidence that more active listing agents sell homes more quickly, though they do so to the detriment of final sales price. I also find that more listings concurrently held by agents have a statistically significant, negative effect on price. Selling agents appear to be quite neutral in the process and have little effect on either sales price or time on market. The second essay defines market concentrations of residential real estate brokerage services across one hundred diverse U.S. markets. Since real estate is immobile, each geographical location constitutes a local market and thus national measures of market concentration, of the type espoused by the National Association of Realtors (NAR), are of little value. The only way to get a meaningful picture of the market in general is to collectively examine observations at the city/town level. Once indices of concentration are obtained, it may be possible to get a sense of minimum and maximum scale efficiencies as well as what market specific characteristics give rise to high or low concentrations. The third essay examines the “just-below” pricing strategy in the context of home sales. Many retailers price their goods/services directly below some round amount (i.e. pricing at $2.99 instead of $3.00) and a number of studies document the effectiveness of this strategy on the demand for relatively inexpensive items (clothing, groceries, small appliances, etc). A lesser developed strand of literature examines the prevalence and effectiveness of just-below pricing in the context of larger purchases, namely real estate. This essay affirms the prevalence of just-below pricing in home transactions and finds evidence that just-below pricing can yield a higher final transaction price compared to homes initially priced on an even price point.
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Gorske, Tad T. "Adolescents in residential treatment characteristics and treatment outcome." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=828.

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Thesis (Ph. D.)--West Virginia University, 1999.
Title from document title page. Document formatted into pages; contains v, 125 p. Vita. Includes abstract. Includes bibliographical references (p. 104-112).
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Li, Yanmei. "The dynamic interaction between residential mortgage foreclosure, neighborhood characteristics, and neighborhood change." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155522566.

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He, Congrong. "Airborne Particles in Indoor Residential Environment: Source Contribution, Characteristics, Concentration, and Time Variability." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16017/.

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The understanding of human exposure to indoor particles of all sizes is important to enable exposure control and reduction, but especially for smaller particles since the smaller particles have a higher probability of penetration into the deeper parts of the respiratory tract and also contain higher levels of trace elements and toxins. Due to the limited understanding of the relationship between particle size and the health effects they cause, as well as instrument limitations, the available information on submicrometer (d < 1.0 µm) particles indoors, both in terms of mass and number concentrations, is still relatively limited. This PhD project was conducted as part of the South-East Queensland Air Quality program and Queensland Housing Study aimed at providing a better understanding of ambient particle concentrations within the indoor environment with a focus on exposure assessment and control. This PhD project was designed to investigate comprehensively the sources and sinks of indoor aerosol particles and the relationship between indoor and outdoor aerosol particles, particle and gaseous pollutant, as well as the association between indoor air pollutants and house characteristics by using, analysing and interpreting existing experimental data which were collected before this project commenced, as well as data from additional experiments which were designed and conducted for the purpose of this project. The focus of this research was on submicrometer particles with a diameter between 0.007 - 0.808 µm. The main outcome of this project may be summarised as following: * A comprehensive review of particle concentration levels and size distributions characteristics in the residential and non-industrial workplace environments was conducted. This review included only those studies in which more general trends were investigated, or could be concluded based on information provided in the papers. This review included four parts: 1) outdoor particles and their effect on indoor environments; 2) the relationship between indoor and outdoor concentration levels in the absence of indoor sources for naturally ventilated buildings; 3) indoor sources of particles: contribution to indoor concentration levels and the effect on I/O ratios for naturally ventilated buildings; and 4) indoor/outdoor relationship in mechanically ventilated buildings. * The relationship between indoor and outdoor airborne particles was investigated for sixteen residential houses in Brisbane, Australia, in the absence of operating indoor sources. Comparison of the ratios of indoor to outdoor particle concentrations revealed that while temporary values of the ratio vary in a broad range from 0.2 to 2.5 for both lower and higher ventilation conditions, average values of the ratios were very close to one regardless of ventilation conditions and of particle size range. The ratios were in the range from 0.78 to 1.07 for submicrometer particles, from 0.95 to 1.0 for supermicrometer particles and from 1.01 to 1.08 for PM2.5 fraction. Comparison of the time series of indoor to outdoor particle concentrations showed a clear positive relationship existing for many houses under normal ventilation conditions (estimated to be about and above 2 h-1), but not under minimum ventilation conditions (estimated to be about and below 1 h-1). These results suggest that for normal ventilation conditions and in the absence of operating indoor sources, outdoor particle concentrations could be used to predict instantaneous indoor particle concentrations but not for minium ventilation, unless air exchange rate is known, thus allowing for estimation of the "delay constant". * Diurnal variation of indoor submicrometer particle number and particle mass (approximation of PM2.5) concentrations was investigated in fifteen of the houses. The results show that there were clear diurnal variations in both particle number and approximation of PM2.5 concentrations, for all the investigated houses. The pattern of diurnal variations varied from house to house, however, there was always a close relationship between the concentration and human indoor activities. The average number and mass concentrations during indoor activities were (18.2±3.9)×10³ particles cm-³ and (15.5±7.9) µg m-³ respectively, and under non-activity conditions, (12.4±2.7)x10³ particles cm-³ (11.1±2.6) µg m-³, respectively. In general, there was a poor correlation between mass and number concentrations and the correlation coefficients were highly variable from day to day and from house to house. This implies that conclusions cannot be drawn about either one of the number or mass concentration characteristics of indoor particles, based on measurement of the other. The study also showed that it is unlikely that particle concentrations indoors could be represented by measurements conducted at a fixed monitoring station due to the large impact of indoor and local sources. * Emission characteristics of indoor particle sources in fourteen residential houses were quantified. In addition, characterizations of particles resulting from cooking conducted in an identical way in all the houses were measured. All the events of elevated particle concentrations were linked to indoor activities using house occupants diary entries, and catalogued into 21 different types of indoor activities. This enabled quantification of the effect of indoor sources on indoor particle concentrations as well as quantification of emission rates from the sources. For example, the study found that frying, grilling, stove use, toasting, cooking pizza, smoking, candle vaporizing eucalyptus oil and fan heater use, could elevate the indoor submicrometer particle number concentration levels by more than 5 times, while PM2.5 concentrations could be up to 3, 30 and 90 times higher than the background levels during smoking, frying and grilling, respectively. * Indoor particle deposition rates of size classified particles in the size range from 0.015 to 6 µm were quantified. Particle size distribution resulting from cooking, repeated under two different ventilation conditions in 14 houses, as well as changes to particle size distribution as a function of time, were measured using a scanning mobility particle sizer (SMPS), an aerodynamic particle sizer (APS), and a DustTrak. Deposition rates were determined by regression fitting of the measured size-resolved particle number and PM2.5 concentration decay curves, and accounting for air exchange rate. The measured deposition rates were shown to be particle size dependent and they varied from house to house. The lowest deposition rates were found for particles in the size range from 0.2 to 0.3 µm for both minimum (air exchange rate: 0.61±0.45 h-1) and normal (air exchange rate: 3.00±1.23 h-1) ventilation conditions. The results of statistical analysis indicated that ventilation condition (measured in terms of air exchange rate) was an important factor affecting deposition rates for particles in the size range from 0.08 to 1.0 µm, but not for particles smaller than 0.08 µm or larger than 1.0 µm. Particle coagulation was assessed to be negligible compared to the two other processes of removal: ventilation and deposition. This study of particle deposition rates, the largest conducted so far in terms of the number of residential houses investigated, demonstrated trends in deposition rates comparable with studies previously reported, usually for significantly smaller samples of houses (often only one). However, the results compare better with studies which, similarly to this study, investigated cooking as a source of particles (particle sources investigated in other studies included general activity, cleaning, artificial particles, etc). * Residential indoor and outdoor 48 h average levels of nitrogen dioxide (NO2), 48h indoor submicrometer particle number concentration and the approximation of PM2.5 concentrations were measured simultaneously for fourteen houses. Statistical analyses of the correlation between indoor and outdoor pollutants (NO2 and particles) and the association between house characteristics and indoor pollutants were conducted. The average indoor and outdoor NO2 levels were 13.8 ± 6.3 ppb and 16.7 ± 4.2 ppb, respectively. The indoor/outdoor NO2 concentration ratio ranged from 0.4 to 2.3, with a median value of 0.82. Despite statistically significant correlations between outdoor and fixed site NO2 monitoring station concentrations (p = 0.014, p = 0.008), there was no significant correlation between either indoor and outdoor NO2 concentrations (p = 0.428), or between indoor and fixed site NO2 monitoring station concentrations (p = 0.252, p = 0.465,). However, there was a significant correlation between indoor NO2 concentration and indoor submicrometer aerosol particle number concentrations (p = 0.001), as well as between indoor PM2.5 and outdoor NO2 (p = 0.004). These results imply that the outdoor or fixed site monitoring concentration alone is a poor predictor of indoor NO2 concentration. * Analysis of variance indicated that there was no significant association between indoor PM2.5 and any of the house characteristics investigated (p > 0.05). However, associations between indoor submicrometer particle number concentration and some house characteristics (stove type, water heater type, number of cars and condition of paintwork) were significant at the 5% level. Associations between indoor NO2 and some house characteristics (house age, stove type, heating system, water heater type and floor type) were also significant (p < 0.05). The results of these analyses thus strongly suggest that the gas stove, gas heating system and gas water heater system are main indoor sources of indoor submicrometer particle and NO2 concentrations in the studied residential houses. The significant contributions of this PhD project to the knowledge of indoor particle included: 1) improving an understanding of indoor particles behaviour in residential houses, especially for submicrometer particle; 2) improving an understanding of indoor particle source and indoor particle sink characteristics, as well as their effects on indoor particle concentration levels in residential houses; 3) improving an understanding of the relationship between indoor and outdoor particles, the relationship between particle mass and particle number, correlation between indoor NO2 and indoor particles, as well as association between indoor particle, NO2 and house characteristics.
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Christenberry, Thomas Catron. "Characteristics of Residential Adult Learning in the FBI National Academy Learning Environment and the Impact on Participant's Attitude of Satisfaction." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/29100.

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Using the Federal Bureau of Investigation's (FBI) 212 th session of the National Academy, a residential adult learning environment, as a case study and the 1996 research on participant's perception of residential adult learning environments by Dr. Jean Anderson Fleming, this study examined the relationship among the characteristics (overarching themes: detachment and continuity and descriptive themes: building relationships in residence, learning in residence, and individual change in residence) and how this relationship impacts the participant's attitude of satisfaction with the program. A 33-item Likert scale, developed by the researcher, was used to collect the data from 244 police officers and the Kropp-Verner Attitude Scale was used for measuring the overall participant attitude of satisfaction with the residential learning environment. Demographic data were also collected from the participants to provide an overall profile of the respondents and each police officer had the opportunity to respond to an open-ended question at the end of the survey. Six hypotheses formed the basis of the study and were investigated through bivariate and multivariate analysis. Univariate analysis was used to describe and summarize the collected demographic data, as well as the frequency responses to each statement by the participants, while multivariate analysis was used to determine the best model for the prediction of satisfaction. Positive relationships existed between each of the five independent variables (detachment, continuity, building relationships in residence, learning in residence, and individual change in residence) and the dependent variable, satisfaction. The overarching themes of detachment and continuity were combined to form a new variable, DECONTI. Individually, (bivariate regression) DECONTI was the most significant predictor of satisfaction, while building relationships in residence exhibited no significance. Multivariate analysis (standard and stepwise regression) suggested that the model of DECONTI, learning in residence, and individual change was the best predictor of satisfaction. The analysis of the characteristics of residential adult learning environments and their impact on participant satisfaction was quantitatively supported in this study. The results of this study supported the assertions of Fleming, the literature, and the research questions, while offering new observations and insights into the effectiveness of residential adult learning environments.
Ph. D.
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Middleton, Harriett M. "A study of psycho-social environmental characteristics of community residential facilities for psychiatrically impaired individuals." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 1986. http://digitalcommons.auctr.edu/dissertations/3442.

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This is a descriptive study of psycho-social environmental characteristics of community residential facilities which are used to house and treat former psychiatric patients in the community setting. The purpose of this study was to determine the adequacy and appropriateness of the community residential facilities available to this population. The Community-Oriented Program Environment Scale (COPES), was administered to staff at four community residential facilities in South Central Alabama. These homes were specifically designed to serve the needs of deinstitutionalized psychiatrically impaired individuals in our society. The results of this investigation revealed a high degree of diversity in the program operations of the commu nity residential facilities participating in this study. The researcher also found that there is a lack of consistency in the way different staff members, employed by the same agency, preceived their program orientation and opera tions. The results also indicated very few community residences are providing the ideal psycho-social environment for former psychiatric patients.
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Toomhirun, Sontichai. "Study of residential demand for electricity as functions of load control schemes and dwelling characteristics." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/80046.

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Residential demand is a large and important factor of the utility load during the system peak period. And the control of residential demand can make a significant change to the system load of the utility. This research is designed to study the residential end-use appliances under various direct load control schemes. These appliances are water heaters, air conditioners, and space heaters which are the major electrical demand of the residential load. The study will apply the LOADSIM, an Electrical Power Research Institute (EPRI) load simulation program, to conduct load control strategies of these residential appliances. The LOADSIM program can be applied both for cycling and shedding control strategies during a specified control period. In this study, the cycling control is done on an air conditioner and space heater. The water heating control is performed under shedding strategy. The research has studied the appliance use of four house types under the same weather and control conditions. A total of 100,000 houses have been used in the study. These houses have the same dwelling and appliance characteristics but their house insulations are different. Diversity in house insulations gives different results in terms of load reduction and temperature change due to the load control. For example, a better-insulated house demands less electricity for its appliance than a low-insulated house. This study also uses the EPRl-LOADSIM program to estimate the load reduction and temperature change of each house type under the load control.
Master of Science
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Dahlkvist, Eva. "The Garden/Patio in Residential Care Facilities for Older People : Characteristics and the Users Perspectives." Licentiate thesis, Örebro universitet, Institutionen för hälsovetenskap och medicin, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-44764.

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Frensley, B. Troy. "Investigating the links between lesson characteristics, student engagement, and outcomes at a residential environmental education program." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/83826.

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This dissertation investigates the links between lesson characteristics, student engagement, self-determination, and environmental literacy outcomes at a residential environmental education (EE) program. I developed a novel methodology using observations of 81 lessons at the study site to isolate the characteristics hypothesized to influence student engagement, self-determination, and outcomes of environmental literacy. Student surveys provided self-reported data on student engagement, selfdetermination, and environmental literacy. Mixed-methods analyses allowed me to explore these links within the 81 lessons observed in this case study. The results are organized into five chapters: an introduction chapter; three manuscripts planned for stand-alone publication (Chapters 2 - 4); and a conclusion chapter. Chapter 2 reports on the links between student engagement, self-determination, and environmental literacy. Chapter 3 provides insights on the links between the lesson characteristics (e.g., educator characteristics, teaching approaches, and schoolteacher/chaperone behaviors) and environmental literacy outcomes. Chapter 4 investigates the degree to which measures of student engagement, observed or self-reported, are associated with environmental literacy outcomes. Chapter 5 summarizes the findings from this study and presents additional analyses intended to fully synthesize the links between lesson characteristics, student engagement, self-determination, and environmental literacy. This study provides a novel methodology and survey items that may be of use to both practitioners and researchers. This research offers useful information about why and how EE works in this case and some of the specific characteristics and practices that engender positive environmental literacy outcomes.
Ph. D.
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Basaib, Ridhwan. "The growth and characteristics of peri-urban communities : a case study in Jakarta, Indonesia /." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-08222009-040235/.

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Books on the topic "Residential characteristics"

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Baylon, David. Baseline characteristics of the residential sector: Idaho, Montana, Oregon and Washington. Portland, Or: The Alliance, 2001.

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Baylon, David. Baseline characteristics of the non-residential sector: Idaho, Montana, Oregon and Washington. Portland, Or: The Alliance, 2001.

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Australia. Department of Urban Affairs and Planning. Urban Design Advisory Service. Residential densities: A handbook illustrating the urban design characteristics of different densities. [S.l.]: Department of Urban Affairs and Planning, 1998.

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Pope, Jason P. Private domestic-well characteristics and the distribution of domestic withdrawals among aquifers in the Virginia Coastal Plain. Reston, Va: U.S. Geological Survey, 2008.

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Smart, Stephen. Independent residential care home clients: A survey of lengths of stay and other characteristics. Canterbury: Personal Social Services Research Unit, University of Kent at Canterbury, 1992.

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Yang, Chae-sŏp. Sŏul taedosikwŏn ŭi chugŏ idong p'aet'ŏn kwa idong kagu t'ŭksŏng =: Residential mobility patterns and its characteristics in Seoul metropolitan area. Sŏul-si: Sŏul Sijŏng Kaebal Yŏn'guwŏn, 2007.

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Sirrocco, Al. Characteristics of facilities for the mentally retarded, 1986. Hyattsville, MD: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1989.

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Challender, David. Job characteristics, job satisfaction and job performance: An investigation of residential worfers in a care agency. (Guildford): (University of Surrey), 1986.

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Marcin, Thomas C. Regional variations in housing characteristics and wood products consumption for residential construction in the United States. [Madison, Wis.?: Forest Products Laboratory, 1987.

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Bohte, Wendy. Residential self-selection and travel: The relationship between travel-related attitudes, built environment characteristics and travel behaviour. Amsterdam: IOS Press, 2010.

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Book chapters on the topic "Residential characteristics"

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Lersch, Philipp M. "Setting the Scene: Occurrence and Characteristics of Relocations." In Residential Relocations and their Consequences, 111–27. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-04257-8_5.

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Kalinović, S. M., J. M. Djoković, R. R. Nikolić, and B. Hadzima. "Calculation of Thermal Dynamic Characteristics of the Residential Buildings Living Walls." In Lecture Notes in Civil Engineering, 105–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63879-5_8.

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Apostolidi, Eftychia. "Masonry Buildings' Seismic Failures." In Characteristic Seismic Failures of Buildings, 59–148. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/sed016.059.

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<p>Masonry structures are probably the most popular and ancient type of buildings all over the world. Easy access of its constitutive materials, which are basically stones, bricks, and mortar (which varies from region to region), makes masonry one of the everlasting construction methods from small residential buildings to the most important ancient and historic monuments. <p>Some masonry buildings have proved to be resistant structures even in seismic prone areas, due to some specific structural characteristics that have been observed throughout the years and after many destructive earthquakes. In this chapter, an effort will be made to refer to and describe the most characteristic deficiencies in unreinforced and reinforced masonry buildings under seis-mic actions. Design recommendations for new earthquake-resistant structures will follow, and some retrofitting and strengthening strategies for existing masonry buildings will be proposed.
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Herbst, Andrea, Anna-Lena Klingler, Stephanie Heitel, Pia Manz, Tobias Fleiter, Matthias Rehfeldt, Francesca Fermi, Davide Fiorello, Angelo Martino, and Ulrich Reiter. "Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Centralized Energy System." In The Future European Energy System, 91–113. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60914-6_6.

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AbstractEuropean final energy consumption mainly stems from five sectors: transport, households, industry, residential, and agriculture using fossil fuels as dominant energy carriers. In order to achieve the climate targets, emissions in the demand sectors must be drastically reduced. Due to different characteristics and challenges each sector needs its own strategy how to achieve such decarbonization until 2050. In the following chapter, the impacts of an ambitious mitigation scenario on future energy demand and CO2 emissions for transport, industry, residential, and tertiary are analyzed discussing sector specific decarbonization strategies and mitigation options. Implications of such strategies for demand-side flexibility and its future need are analyzed.
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Hewitt, Elizabeth. "Organizational Characteristics in Residential Rental Buildings: Exploring the Role of Centralization in Energy Outcomes." In World Sustainability Series, 181–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67122-2_10.

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Chang, Hsueh-Hsien, Meng-Chien Lee, and Nanming Chen. "A Novel Method for Extracting Aging Load and Analyzing Load Characteristics in Residential Buildings." In Modern Advances in Applied Intelligence, 189–98. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07467-2_20.

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Huang, Chen, Qinhou Zhang, Zhanyuan Qing, Chunxiao Su, and Zhijun Zou. "Association between Nighttime Air Infiltration of Bedroom and Characteristics of Residential Building in Shanghai." In Environmental Science and Engineering, 659–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9520-8_68.

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Xu, Baoping, Xi Wang, and Yuekang Liu. "Analysis on Control Mechanism and Response Characteristics of Residential Thermostats in District Heating Systems." In Environmental Science and Engineering, 219–27. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9524-6_24.

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Chen, Jun, Yi-fan Yue, Jingheng Zheng, and Dong-ping Li. "Time-Varying Characteristics and Forecasting Model of Parking Berth Demand in Urban Residential Areas." In Green, Smart and Connected Transportation Systems, 31–44. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0644-4_4.

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Hata, Yoshiya, Fumihiro Minato, Takaaki Ikeda, Masayuki Yamada, Masaki Yamauchi, and Yutaro Okawa. "Evaluation of Ground Shaking Characteristics in Residential Land Based on T/R Frequency Ratio of Microtremor." In Advancing Culture of Living with Landslides, 23–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53485-5_4.

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Conference papers on the topic "Residential characteristics"

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Maier, Gregor, Anja Feldmann, Vern Paxson, and Mark Allman. "On dominant characteristics of residential broadband internet traffic." In the 9th ACM SIGCOMM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1644893.1644904.

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Zhang, C., Q. Yan, X. H. Xu, and J. B. Wang. "Thermal characteristics of switchable exhaust air window." In 6th International Conference on Energy and Environment of Residential Buildings (ICEERB 2014). Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1633.

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Roy, Jinia, and Barry Mather. "Study of Voltage-Dependent Harmonic Characteristics of Residential Appliances." In 2019 IEEE Texas Power and Energy conference (TPEC). IEEE, 2019. http://dx.doi.org/10.1109/tpec.2019.8662188.

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Sung, Lee-yong. "Exterior Space Characteristics of Mixed-Use Residential Tall Buildings." In Architecture and Civil Engineering 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.100.06.

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Ellis, Martin, and Colin Perkins. "Packet Loss Characteristics of IPTV-Like Traffic on Residential Links." In 2010 7th IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2010. http://dx.doi.org/10.1109/ccnc.2010.5421735.

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Yan, Yuting, and Zihao Zhang. "Peak Shaving Potential of Residential Areas Considering Energy Consumption Characteristics." In 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021. http://dx.doi.org/10.1109/cieec50170.2021.9510894.

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Bendová, Martina, and Saija Toivonen. "Residential infill development - The connection between inhabitants' attitude and areal characteristics." In 22nd Annual European Real Estate Society Conference. European Real Estate Society, 2015. http://dx.doi.org/10.15396/eres2015_200.

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Zedong Zhong. "Bicycle transfer characteristics of mass transit passengers in suburban residential area." In 2011 International Conference on Transportation and Mechanical & Electrical Engineering (TMEE). IEEE, 2011. http://dx.doi.org/10.1109/tmee.2011.6199162.

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Alawasa, Khaled Mohammad, and Abdullah Ibrahim Al-Odienat. "Power quality characteristics of residential grid-connected inverter ofphotovoltaic solar system." In 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2017. http://dx.doi.org/10.1109/icrera.2017.8191225.

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Li, Xianli, Shijun You, and Ying Xia. "Effect of Window Characteristics on Indoor Air Quality in Residential Housing." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5162722.

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Reports on the topic "Residential characteristics"

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Author, Not Given. Housing characteristics, 1987: Residential Energy Consumption Survey. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/6112183.

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Caffrey, Christine. Data Brief 404, Residential Care Community Resident Characteristics: United States, 2018. National Center for Health Statistics, April 2021. http://dx.doi.org/10.15620/cdc:103826.

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Weakley, S. A., R. F. Darwin, and T. L. Howe. The Residential Building Characteristics On-Site Inspection: summary Report. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6816904.

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Lee, S. W. Assessment of general characteristics of reprocessed fuels for residential heating. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/304600.

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Francfort, Jim. Characterize the Demand and Energy Characteristics of Residential Electric Vehicle Supply Equipment. Office of Scientific and Technical Information (OSTI), June 2018. http://dx.doi.org/10.2172/1483581.

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McDonald, R. Evaluation of Gas, Oil and Wood Pellet Fueled Residential Heating System Emissions Characteristics. Office of Scientific and Technical Information (OSTI), December 2009. http://dx.doi.org/10.2172/1015127.

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Connor, C. C., V. B. Lortz, and R. G. Pratt. End-use load and consumer assessment program: Heat loss characteristics of the residential sample. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/7078402.

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Author, Not Given. Demand and Energy Characteristics of Non-Residential Alternating Current Level 2 Electric Vehicle Supply Equipment. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1483601.

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Chavarria, Marlo. Identifying the Characteristics of Successful Local Transit Circulator Systems in Residential Areas of Southeast Florida. Tampa, FL: University of South Florida, December 2004. http://dx.doi.org/10.5038/cutr-nctr-rr-2004-18.

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Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.1946.

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Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of the research are to compute and evaluate the truck travel time performance measures (by time of the day and day of the week) and use selected truck travel time performance measures to examine their correlation with on-network and off-network characteristics. Truck travel time data for the year 2019 were obtained and processed at the link level for Mecklenburg County, Wake County, and Buncombe County, NC. Various truck travel time performance measures were computed by time of the day and day of the week. Pearson correlation coefficient analysis was performed to select the average travel time (ATT), planning time index (PTI), travel time index (TTI), and buffer time index (BTI) for further analysis. On-network characteristics such as the speed limit, reference speed, annual average daily traffic (AADT), and the number of through lanes were extracted for each link. Similarly, off-network characteristics such as land use and demographic data in the near vicinity of each selected link were captured using 0.25 miles and 0.50 miles as buffer widths. The relationships between the selected truck travel time performance measures and on-network and off-network characteristics were then analyzed using Pearson correlation coefficient analysis. The results indicate that urban areas, high-volume roads, and principal arterial roads are positively correlated with the truck travel time performance measures. Further, the presence of agricultural, light commercial, heavy commercial, light industrial, single-family residential, multi-family residential, office, transportation, and medical land uses increase the truck travel time performance measures (decrease the operational performance). The methodological approach and findings can be used in identifying potential areas to serve as truck priority zones and for planning decentralized delivery locations.
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