Which Way is Up? Orientation and Residential Property Values

2019 ◽  
Vol 11 (1) ◽  
pp. 40-59
Author(s):  
Alyson Ma ◽  
Andrew Narwold
Keyword(s):  
San Diego ◽  
Housing Prices ◽  
Research Area ◽  
Small Sample ◽  
Hedonic Price ◽  
Explanatory Variables ◽  
Street Intersection ◽  
South Axis ◽  
Good Research ◽  
Robustness Check

Builders have long been cognizant of the importance of the siting of a house on a lot, whether to shelter from prevailing weather, allow better access to natural light, gain a scenic view, or more recently for optimal capture of solar energy. Using 2016–2017 sales data for the County of San Diego, we examine the market valuation of house orientation. San Diego provides a good research area as the topography does not lend itself to a grid-like pattern for the street system. Orientation is divided into eight directions (south, southeast, east, . . .) and hedonic price equations are estimated. In addition, the analysis includes proximity to a cul-de-sac and street intersection as explanatory variables. The results suggest that house orientation is a significant factor in determining house valuation. Houses oriented directly on an east-west axis command a premium over houses oriented on a north-south axis. After correcting for spatial autocorrelation, neither cul-de-sac nor intersection locations are significant factors in determining housing prices. Moreover, a robustness check using a small sample of 241 transactions provides inclusive results regarding a premium for solar panel installation.

Exploring trainers’ engaging instructional practices: a collective case study

2016 ◽  
Vol 40 (2) ◽  
pp. 111-127 ◽  
Author(s):  
Vishal Arghode ◽  
Jia Wang
Keyword(s):  
Learning Styles ◽  
Learning Outcomes ◽  
Training Session ◽  
Research Area ◽  
Small Sample ◽  
Training Context ◽  
Content Type ◽  
Collective Case Study ◽  
Study Approach

Purpose – This study aims to explore the phenomenon of training engagement from the trainers’ perspective. Specifically, two questions guided this inquiry. First, how do trainers define engagement in the training context? and What strategies do trainers use to engage trainees? Design/methodology/approach – The collective case study approach was adopted for this qualitative study. Seven cases were selected for in-depth analyses. Data were collected through individual, face-to-face interviews and analyzed using the constant comparative analysis method. Findings – Major findings suggest that engaging training practices take various forms. They include being trainee-centered, maximizing learning through entertaining and interesting instruction, accommodating different learning styles, eliciting trainee participation by creating an encouraging learning environment and connecting with trainees by building rapport early in a training session. Research limitations/implications – The small sample limits the generalizability of the findings. However, this study expands training literature by focusing on an under-explored research area, the role of engaging trainees in maximizing learning outcomes. Practical implications – For trainers, this study offered some specific strategies they can use to engage learners in the training context to achieve desired learning outcomes. In addition, the seven cases selected for this study may be used as a benchmark against which both experienced and novice trainers compared their own practices. Originality/value – This is one of very few qualitative studies with a focus on emotional aspects involved in training. The rich data from this study shed light on areas for future improvement, particularly regarding how to effectively engage trainees to maximize learning outcomes.

Intensity of perceived stress and control of anger, anxiety and depression of people staying in Polish penitentiary institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kinga Kołodziej ◽  
Anna Kurowska ◽  
Anna Majda
Keyword(s):  
Perceived Stress ◽  
Small Sample Size ◽  
Prison Population ◽  
Research Area ◽  
Cross Sectional Study ◽  
Small Sample ◽  
Emotional Control ◽  
Coping With Stress ◽  
Cross Sectional ◽  
Content Type

Purpose The purpose of this study is to assess the intensity of perceived stress and measure the subjective control of anxiety, anger and depression in a group of women and men staying in Polish penitentiary institutions. Design/methodology/approach The research was carried out in two penitentiary institutions located in the Lesser Poland Voivodeship at the turn of 2019/2020. The study group consisted of 152 prisoners. In the cross-sectional study, two standardised research tools – the Perceived Stress Scale and the Emotional Control Scale – were used. Findings Over half of the prisoners (57.24%) presented a high level of stress. The intensity of the perceived stress did not depend on the gender and age of the convicted persons. The general indicator of emotional control among the respondents averaged 51.82 points (standard deviation = 14.52) and ranged from 22 to 83 points, which means that people detained in penitentiary institutions suppressed their negative emotions at an average level. The prisoners had the best control over fear (M = 18.68), less over anger (M = 16.86) and the least over depression (M = 16.27). Statistical analysis showed a correlation between the level of emotional control and the intensity of perceived stress. Research limitations/implications The small sample size of the group participating in the study and narrowing of the research area means that results can not be generalised across all isolated prison population. Practical implications The results obtained from the study can be used by a multidisciplinary team to develop therapeutic programmes for convicted persons, the aim of which is to evaluate strategies for coping with stress and controlling emotions. Social implications Popularising reliable information related to the issue of experiencing stress and varied emotions in those staying in penitentiary institutions may lead to the elimination of harmful stereotypes functioning in society, as well as reduce the phenomenon of marginalisation of prisoners, and thus contribute to the success of the social rehabilitation process. Originality/value Research on the level of stress intensity in prisoners is important because the rates of mental health disorders among prisoners consistently exceed the rates of such disorders in the general population.

scholarly journals Approaches for effective using of interline power flow controller steady state model

2018 ◽  
Vol 7 (4) ◽  
pp. 2344
Author(s):  
Nabil A. Hussein ◽  
Ayamn A. Eisa ◽  
Hassan M. Mahmoud ◽  
Safy A. Shehata ◽  
El-Saeed A. Othman
Keyword(s):  
Steady State ◽  
Power Flow ◽  
Research Area ◽  
Anal Ysis ◽  
Current Transmission ◽  
Steady State Model ◽  
Flow Controller ◽  
Flexible Alternating Current Transmission ◽  
Power Flow Controller ◽  
Good Research

Interline power flow controller (IPFC) is the latest proposed flexible alternating current transmission systems (FACTS) device. Although IPFC was proposed in 1998, its performance studying stills good research area. It cannot be denied that, the first step for performance anal-ysis is developing an effective simulation model. This paper is tackling; the steady state modeling for a power system equipped with IPFC device, approaches for applying this model and the idea behind each approach. 5-Bus, 14-Bus and 30-Bus systems have been chosen as case studies to support the comparison between the three approaches.  

scholarly journals Hedonic Price Function for Residential Area Focusing on the Reasons for Residential Preferences in Japanese Metropolitan Areas

2018 ◽  
Vol 11 (3) ◽  
pp. 39 ◽  
Author(s):  
Mitsuru Sasaki ◽  
Kayoko Yamamoto
Keyword(s):  
Metropolitan Areas ◽  
Great Emphasis ◽  
Hedonic Price ◽  
Residential Areas ◽  
Significance Level ◽  
Explanatory Variables ◽  
Residential Preferences ◽  
Price Function ◽  
Hedonic Price Function ◽  
Regional Vulnerability

This study aims to offer a new estimate of the hedonic price function of residential areas in Japanese metropolitan areas, focusing on the reasons for residential preferences. More specifically, it introduces two new explanatory variables—‘regional vulnerability’ and ‘accessibility to destination stations’—and determines their usefulness. Based on the evaluation done in this study, the hedonic price function mentioned above showed 60% interpretability (as compared to 52% interpretability by hedonic price function using only conventional explanatory variables.) In addition, the significance level of both the explanatory variables was low, and the land price changed by 9% as the regional vulnerability changed by 1 grade. Furthermore, residents placed great emphasis on both variables. This made it evident that the introduction of the two explanatory variables that reflect the reasons for residential preferences specific to Japanese metropolitan areas was reasonable.

Analysing the features of negative sentiment tweets

2018 ◽  
Vol 36 (5) ◽  
pp. 782-799 ◽  
Author(s):  
Ling Zhang ◽  
Wei Dong ◽  
Xiangming Mu
Keyword(s):  
Research Area ◽  
Small Sample ◽  
Negative Word ◽  
Social Media Data ◽  
Content Type ◽  
Word Use ◽  
Part Of Speech ◽  
Negative Sentiment ◽  
Media Data

Purpose This paper aims to address the challenge of analysing the features of negative sentiment tweets. The method adopted in this paper elucidates the classification of social network documents and paves the way for sentiment analysis of tweets in further research. Design/methodology/approach This study classifies negative tweets and analyses their features. Findings Through negative tweet content analysis, tweets are divided into ten topics. Many related words and negative words were found. Some indicators of negative word use could reflect the degree to which users release negative emotions: part of speech, the density and frequency of negative words and negative word distribution. Furthermore, the distribution of negative words obeys Zipf’s law. Research limitations/implications This study manually analysed only a small sample of negative tweets. Practical implications The research explored how many categories of negative sentiment tweets there are on Twitter. Related words are helpful to construct an ontology of tweets, which helps people with information retrieval in a fixed research area. The analysis of extracted negative words determined the features of negative tweets, which is useful to detect the polarity of tweets by machine learning method. Originality/value The research provides an initial exploration of a negative document classification method and classifies the negative tweets into ten topics. By analysing the features of negative tweets, related words, negative words, the density of negative words, etc. are presented. This work is the first step to extend Plutchik’s emotion wheel theory into social media data analysis by constructing filed specific thesauri, referred to as local sentimental thesauri.

Traffic congestion, accessibility to employment, and housing prices: A study of single-family housing market in Los Angeles County

Urban Studies ◽  
2016 ◽  
Vol 54 (15) ◽  
pp. 3423-3445 ◽  
Author(s):  
Yuting Hou
Keyword(s):  
Los Angeles ◽  
Traffic Congestion ◽  
Housing Prices ◽  
House Price ◽  
Hedonic Price ◽  
Single Family ◽  
Middle Income ◽  
Family House ◽  
Marginal Price ◽  
Congestion Effects

This study mainly addresses two main questions: (1) whether traffic congestion negatively affects single-family house price by constraining accessibility to jobs; (2) whether congestion effects and accessibility effects vary by income groups within a metropolitan area. This study uses a multilevel hedonic price model to estimate the marginal price of accessibility while controlling for other neighbourhood attributes and the correlation of proximal housing sales. The congestion effects are identified by comparing the implicit price of accessibility between congested-flow and free-flow. The results show that the accessibility measured with congested time yields higher marginal price, suggesting that households are willing to pay more to avoid locations with high congestion delays and accessibility loss. The results also suggest that accessibility effects are more valued by homebuyers in middle-income neighbourhoods, compared with those in the lowest or highest income neighbourhoods.

scholarly journals Untangling the nonlinear “knots” of UK’s housing prices

2019 ◽  
Vol 46 (5) ◽  
pp. 1083-1103
Author(s):  
Constantinos Alexiou ◽  
Sofoklis Vogiazas
Keyword(s):  
Housing Market ◽  
House Prices ◽  
Housing Prices ◽  
Positive Association ◽  
Research Area ◽  
Content Type ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Short Run ◽  
The Uk

Purpose Housing prices in the UK offer an inspiring, yet a complex and under-explored research area. The purpose of this paper is to investigate the critical factors that affect UK’s housing prices. Design/methodology/approach The authors utilize the recently developed nonlinear ARDL approach of Shin et al. (2014) over the period 1969–2016. Findings The authors find that both the long-run and short-run impact of the price-to-rent (PTR) ratio and credit-to-GDP ratio on house prices (HP) is asymmetric whilst ambiguous results are established for mortgage rates, industrial production and equities. Apart from the novel framework of analysis, this study also establishes a positive association between HP and the PTR ratio which suggests a speculative behaviour and could imply the formation of a housing bubble. Originality/value It is the first study for the UK housing market that explores the underlying fundamental relationships by looking at nonlinearities hence, allowing HP to be tied by asymmetric relationships in the long as well as in the short run. Modelling the inherent nonlinearities enhances significantly the understanding of UK housing market which can prove useful for policymaking and forecasting purposes.

Housing Market Hedonic Price Study Based on Boosting Regression Tree

2017 ◽  
Vol 21 (6) ◽  
pp. 1040-1047 ◽  
Author(s):  
Guangtong Gu ◽  
Bing Xu ◽  
◽  
◽  
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Regression Tree ◽  
Gradient Boosting ◽  
Hedonic Price ◽  
Tree Model ◽  
Policy Makers ◽  
Real Estate Markets ◽  
Architectural Features ◽  
Real Estate Prices

Based on the purchase price data of new real estate markets three cities in China, Beijing, Shanghai, and Guangzhou, including architectural features, neighborhood property features, and location features, in this study a boosting regression tree model was built to study the factors and the influence path of housing prices from the microcosmic perspective. First, a classical hedonic price model was constructed to analyze and compare the significant effect factors on housing prices in the market segments of the three cities. Second, the gradient boosting regression tree method that is proposed in this paper was applied to the three markets in combination to analyze the influence paths and factors and the importance of the type of housing hedonic price. The influence paths of housing hedonic prices and decision tree rules are visualized. The significant housing features are effectively extracted. Finally, we present three main conclusions and several suggestions for policy makers to improve urban functions while stabilizing real estate prices.

scholarly journals The effect of land subsidence on real estate values

2020 ◽  
Vol 382 ◽  
pp. 703-707
Author(s):  
Wouter Willemsen ◽  
Sien Kok ◽  
Onno Kuik
Keyword(s):  
The Netherlands ◽  
Land Subsidence ◽  
Housing Prices ◽  
Property Values ◽  
Research Area ◽  
Hedonic Pricing ◽  
Local Conditions ◽  
Negative Skin Friction ◽  
Timber Piles ◽  
The Impact

Abstract. Land subsidence in the Netherlands, mainly occurring in its western and northern peat and clay soils, causes significant damage to houses and infrastructure, estimated at EUR 17 billion until 2050, through differential settlement of shallow foundations, negative skin friction and fungal decay of timber piles. Various studies and reports both in The Netherlands and abroad have addressed the potential economic impacts of subsidence on houses: yet, these studies lack spatially detailed data and instead rely on generic assumptions on expected damage restoration costs. By using a hedonic pricing model, this study examines the impact of subsidence on housing prices in the Dutch cities of Rotterdam and Gouda. In contrast to earlier studies, subsidence and its impact on property values are examined at house level. We test for the effect of subsidence with data related to (i) general (uniform) subsidence (mm yr−1), (ii) differential subsidence of a building and (iii) subsidence of the surrounding area in relation to the house. Results show that uniform subsidence has the largest impact on property values with approximately −6 %, while “differential” and “surrounding” subsidence show respectively −2 % and no effect. These results could prove useful to policymakers, homeowners and housing corporations by generating a better understanding of the impact of subsidence on property values and subsequently to create awareness and spur investments in measures to mitigate damage. It should be noted that these results are specific to the research area are therefore not immediately scalable to other cities as local conditions differ.

scholarly journals Effects of Light and Commuter Rail Transit on Land Prices: Experiences in San Diego County

2010 ◽  
Author(s):  
Robert Cervero
Keyword(s):  
Traffic Congestion ◽  
San Diego ◽  
San Diego County ◽  
Land Values ◽  
Light Rail ◽  
Hedonic Price ◽  
Single Family ◽  
Multifamily Housing ◽  
The North ◽  
Commuter Rail

Using hedonic price models, appreciable land-value premiums were found for multiple land uses in different rail corridors of San Diego County. The most appreciable benefits were for condominiums and single-family housing near commuter-rail stations in the north county, multifamily housing near light-rail stations, and commercial properties near downtown commuterrail stations and light-rail stops in the Mission Valley. Elsewhere, commercial properties accrued small or even negative capitalization benefits. Pro-development policies, worsening traffic congestion, and a generally healthy economy are thought to have generally boosted land values in San Diego County, though impacts are corridor- and land-use specific.

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