Drewnowski, Adam; Aggarwal, Anju; Tang, Wesley; Moudon, Anne Vernez. (2015). Residential Property Values Predict Prevalent Obesity but Do Not Predict 1-year Weight Change. Obesity, 23(3), 671 – 676.
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Abstract
ObjectiveLower socio economic status (SES) has been linked with higher obesity rates but not with weight gain. This study examined whether SES can predict short-term weight change. MethodsThe Seattle Obesity Study II was based on an observational cohort of 440 adults. Weights and heights were measured at baseline and at 1 year. Self-reported education and incomes were obtained by questionnaire. Home addresses were linked to tax parcel property values from the King County, Washington, tax assessor. Associations among SES variables, prevalent obesity, and 1-year weight change were examined using multivariable linear regressions. ResultsLow residential property values at the tax parcel level predicted prevalent obesity at baseline and at 1 year. Living in the top quartile of house prices reduced obesity risk by 80% at both time points. At 1 year, about 38% of the sample lost >1 kg body weight; 32% maintained ( 1 kg); and 30% gained >1 kg. In adjusted models, none of the baseline SES measures had any impact on 1-year weight change. ConclusionsSES variables, including tax parcel property values, predicted prevalent obesity but did not predict short-term weight change. These findings, based on longitudinal cohort data, suggest other mechanisms are involved in short-term weight change.
Keywords
Body-mass-index; Socioeconomic-status; United-states; Physical-activity; King County; Association; Health; Trends; Gain; Income
Ametefe, Frank Kwakutse; Devaney, Steven; Stevenson, Simon Andrew. (2019). Optimal Composition of Hybrid/Blended Real Estate Portfolios. Journal Of Property Investment & Finance, 37(1), 20 – 41.
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Abstract
Purpose The purpose of this paper is to establish an optimum mix of liquid, publicly traded assets that may be added to a real estate portfolio, such as those held by open-ended funds, to provide the liquidity required by institutional investors, such as UK defined contribution pension funds. This is with the objective of securing liquidity while not unduly compromising the risk-return characteristics of the underlying asset class. This paper considers the best mix of liquid assets at different thresholds for a liquid asset allocation, with the performance then evaluated against that of a direct real estate benchmark index. Design/methodology/approach The authors employ a mean-tracking error optimisation approach in determining the optimal combination of liquid assets that can be added to a real estate fund portfolio. The returns of the optimised portfolios are compared to the returns for portfolios that employ the use of either cash or listed real estate alone as a liquidity buffer. Multivariate generalised autoregressive models are used along with rolling correlations and tracking errors to gauge the effectiveness of the various portfolios in tracking the performance of the benchmark index. Findings The results indicate that applying formal optimisation techniques leads to a considerable improvement in the ability of the returns from blended real estate portfolios to track the underlying real estate market. This is the case at a number of different thresholds for the liquid asset allocation and in cases where a minimum return requirement is imposed.
Keywords
Hedge-fund-replication; Volatility Dynamics; Tracking Error; Stock; Performance; Property; Returns; Markets; Private; Model; Open-ended Funds; Real Estate Liquidity; Portfolio Optimization; Blended Real Estate; Defined Contribution Pensions
Kim, Jinyhup; Bae, Chang-Hee Christine. (2020). Do Home Buyers Value the New Urbanist Neighborhood? The Case of Issaquah Highlands, WA. Journal Of Urbanism, 13(3), 303 – 324.
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Abstract
This study compares Issaquah Highlands’ home prices with those of traditional suburban single-family homes in the city of Issaquah. Issaquah Highlands is a community that was developed using New Urbanism principles. The null hypothesis is that the sale prices of houses in Issaquah Highlands are not different from the conventional suburban neighborhood in the city of Issaquah. The principal database consists of US Census Washington State Geospatial Data Archive, and the King County Tax Assessments. The final dataset contains 1,780 single family homes over the seven-year period from 2012 to 2018 based on sale records throughout the city of Issaquah. This study uses the hedonic pricing technique to assess the impact of New Urbanism on the value of single-family residences. The findings suggest that people are willing to pay a $92,700–96,800 premium (approximately 7.1–12.0 percent of the sales prices) for houses in Issaquah Highlands.
Keywords
New Urbanism; Home Prices; Real Property; Sustainable Development; Spatial Analysis (statistics); Hedonic Pricing Model; Property Value; Smart Growth; Spatial Autocorrelation; Neighborhoods; Databases; Taxation; Spatial Data; Suburban Areas; Census; Prices; Housing Prices; Urbanism; Houses; Willingness To Pay; Residential Areas; Null Hypothesis; Cities; Buyers; Hedonism; Sales; Highlands; Tax Assessments
Kuriyama, Naoko; Ochsner, Jeffrey Karl. (2021). Protecting Neighbourhood Character While Allowing Growth? Pike/Pine Conservation Overlay District, Seattle, Washington. Planning Perspectives, 36(6), 1195 – 1223.
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Abstract
The City of Seattle created the Pike/Pine Conservation Overlay District in 2009 to preserve the character of the Pike/Pine Corridor (neighbourhood) while simultaneously accommodating substantial growth in the number of residents and the size of buildings. Pike/Pine is known for its adaptively reused collection of early twentieth century 'Auto Row' buildings and for the diversity of its population. Since the year 2000, proximity to downtown has made this area attractive for development, and the city has designated Pike/Pine as a growth centre in its comprehensive plan. The city's implementation of the Pike/Pine Conservation Overlay District (one of the first uses of a conservation district in a commercial/mixed-use neighbourhood in the United States) seeks to address the conflict inherent in accommodating growth while simultaneously trying to protect older architecture, small-scale local businesses, and a diverse mix of housing. This article analyses the elements and impacts of this unusual district, considering its application of facade retention for townscape conservation as well as analysing its broad approach within the framework of integrated conservation. This article argues that the Pike/Pine Conservation Overlay District offers a useful case study for other cities looking to support growth while also retaining elements of the past. [ABSTRACT FROM AUTHOR]; Copyright of Planning Perspectives is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Keywords
Pine; Neighborhoods; Urban Growth; Twentieth Century; Transportation Corridors; Seattle (wash.); Conservation District; Design Review; Facadism; Historic Preservation; Integrated Conservation; Overlay District; Pike/pine Corridor; Seattle; Washington
El-Anwar, Omar; El-Rayes, Khaled; Elnashai, Amr. (2010). Minimization of Socioeconomic Disruption for Displaced Populations Following Disasters. Disasters, 34(3), 865 – 883.
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Abstract
In the aftermath of catastrophic natural disasters such as hurricanes, tsunamis and earthquakes, emergency management agencies come under intense pressure to provide temporary housing to address the large-scale displacement of the vulnerable population. Temporary housing is essential to enable displaced families to reestablish their normal daily activities until permanent housing solutions can be provided. Temporary housing decisions, however, have often been criticized for their failure to fulfil the socioeconomic needs of the displaced families within acceptable budgets. This paper presents the development of (1) socioeconomic disruption metrics that are capable of quantifying the socioeconomic impacts of temporary housing decisions on displaced populations; and (2) a robust multi-objective optimization model for temporary housing that is capable of simultaneously minimizing socioeconomic disruptions and public expenditures in an effective and efficient manner. A large-scale application example is optimized to illustrate the use of the model and demonstrate its capabilities ingenerating optimal plans for realistic temporary housing problems.
Keywords
Natural Disasters; Hurricanes; Disaster Relief; Temporary Housing; Tsunamis; Multi-objective Optimization; Post-disaster Recovery; Social Welfare; Socioeconomic Disruption
Migliaccio, G. C.; Zandbergen, Paul; Martinez, A. A. (2015). Empirical Comparison of Methods for Estimating Location Cost Adjustments Factors. Journal Of Management In Engineering, 31(2).
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Abstract
Location factors are used to adjust conceptual cost estimates by project location. Presently, the construction industry has adopted a simple, proximity-based interpolation method to estimate location factors for missing locations. Although this approach is widely accepted, its validity has not been statistically substantiated. This study assessed the current method of adjusting conceptual cost estimates by project location and compared its performance against two alternative spatial interpolation methods. A Moran's I test was used to confirm the presence of strong spatial autocorrelation, which supports the use of proximity-based methods. Additional statistical evaluations of current and alternative methods were also conducted. Results provided statistical justification for the current method. However, an alternative method was proven to outperform the current method. Moreover, several opportunities for future research were identified as a result of this exploratory study. (C) 2014 American Society of Civil Engineers.
Keywords
Construction Industry; Interpolation; Statistical Analysis; Location Cost Adjustment Factor; Proximity-based Interpolation Method; Project Location; Spatial Interpolation Method; Moran I Test; Spatial Autocorrelation; Statistical Evaluation; Geographical Information-systems; Construction; Layout; Gis; Conceptual Estimating; Geographic Information Systems; Construction Costs; Planning; Location Adjustments
Ascherl, Claudia; Schrand, Liesa; Schaefers, Wolfgang; Dermisi, Sofia. (2019). The Determinants of Executive Compensation in US REITs: Performance vs. Corporate Governance Factors. Journal Of Property Research, 36(4), 313 – 342.
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Abstract
The paper examines whether executive compensation packages within the US REIT industry are determined merely by performance or also by CEO power mechanisms that have an essential influence on board-level negotiations. We offer original insights into management compensation arrangements during and after the financial crisis. The relative importance of cash bonuses in CEO compensation contracts has more than halved after the crisis. Simultaneously, after the financial crisis, equity-based compensation became increasingly important. Concerning the pay-for-performance link, our results show no relationship during the financial crisis. However, after the crisis, we find a strong significant link between remuneration packages and corporate success.
Keywords
Executive Compensation; Chief Executive Officers; Negotiations; Compensation; Packages; Crises; Economic Crisis; Corporate Governance; United States--us
Martins, Antonio Miguel; Serra, Ana Paula; Martins, Francisco Vitorino; Stevenson, Simon. (2020). House Price Dynamics and Bank Herding: European Empirical Evidence. Journal Of Real Estate Research, 42(3), 365 – 396.
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Abstract
This paper examines house price dynamics, bank herding behavior, and the linkages between them. The analysis presented indicates that prior to the financial crisis, non-fundamental factors played a significant role in several European countries, including the United Kingdom, Spain, Denmark, Sweden, and Ireland. We also provide evidence indicative of herding behavior in the residential mortgage loan market. Finally, Granger causality tests show that non-fundamentally justified price dynamics contributed to the herding displayed by lenders and that this behavior was a response by banks as a group to common information on residential property assets.
Keywords
Bubbles; Market; Behavior; Fundamentals; Constraints; Policy; Model; House Prices; Mortgages; Price Bubble; Herding Behavior
Zou, Tianqi; Aemmer, Zack; Mackenzie, Don; Laberteaux, Ken. (2022). A Framework for Estimating Commute Accessibility and Adoption of Ridehailing Services Under Functional Improvements from Vehicle Automation. Journal Of Transport Geography, 102.
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Abstract
This paper develops an analytical framework to estimate commute accessibility and adoption of various ridehailing service concepts across the US by synthesizing individual commute trips using national Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics (LODES) data. Focusing on potential improvements in cost and time that could be enabled by vehicle automation, we use this modeling framework to simulate a lower-price autonomous service (e.g., 50% or 75% lower) with variable wait times and implementation levels (solo, pooled, and first/last mile transit connections services, alone or in combination) to determine how they might affect adoption rates. These results are compared across metrics of accessibility and trip density, as well as socioeconomic factors such as household income. We find - unsurprisingly - that major cities (e.g. New York, Los Angeles, and Chicago) support the highest adoption rates for ridehailing services. Decreases in price tend to increase market share and accessibility. The effect of a decrease in price is more drastic for lower income groups. The proposed method for synthesizing trips using the LODES contributes to current travel demand forecasting methods and the proposed analytic framework can be flexibly implemented with any other mode choice model, extended to non-commute trips, or applied to different levels of geographic aggregation.
Keywords
Choice Of Transportation; Demand Forecasting; Poor People; Adoption; Price Cutting; Metropolis; Employment Statistics; Los Angeles (calif.); New York (state); Chicago (ill.); Accessibility; Autonomous Vehicles; New Mobility Services; Ridehailing; Travel Demand; Preferences
Abramson, Daniel. (2011). Transitional Property Rights and Local Developmental History in China. Urban Studies (sage Publications, Ltd.), 48(3), 553 – 568.
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Abstract
Among the societies that are moving from a centrally planned economy with weak property rights towards a market-oriented economy with stronger and more privatised property rights, China is undergoing an especially rapid and extensive urbanisation that obscures the diversity and relevance of local pre-Reform property arrangements. Official discourse emphasises the formalisation, clarification and, to some extent, the privatisation of property rights in the name of overall societal development and gradual integration with the global economy. In local informal, popular practice and discourse, however, the invocation of property rights reflects the continuing political relevance of both revolutionary and traditional notions of rights to urban space that challenge a unitary, linear view of the development process.
Keywords
Property Rights; History Of Economic Development; Central Economic Planning; Privatization; Urbanization; History; Social Policy; China