Estimating Effects of Wind Loss Mitigation on Home Value

2019 ◽  
Author(s):  
Sebastain Awondo ◽  
Harris Hollans ◽  
Lawrence Powell ◽  
Chip Wade
Keyword(s):  
Loss Mitigation ◽  
Home Value

Wind Turbines, Amenities and Disamenitites: Astudy of Home Value Impacts in Densely Populated Massachusetts

2016 ◽  
Vol 38 (4) ◽  
pp. 473-504 ◽  
Author(s):  
Ben Hoen ◽  
Carol Atkinson-Palombo
Keyword(s):  
Wind Turbines ◽  
Home Value

Do Restrictive Land Use Regulations Make Housing More Expensive Everywhere?

2021 ◽  
pp. 089124242110435
Author(s):  
John Landis ◽  
Vincent J. Reina
Keyword(s):  
Land Use ◽  
Metropolitan Areas ◽  
Housing Prices ◽  
Housing Values ◽  
Land Use Regulations ◽  
Single Region ◽  
Home Value ◽  
Regulatory Measures ◽  
Home Values ◽  
Regulatory Measure

This study makes three contributions to the debate over the effect of local land use regulations on housing prices and affordability. First, it is more geographically extensive than previous studies, encompassing 336 of the nation's 384 metropolitan areas. Second, it looks at multiple measures of regulatory stringency, not just one. Most prior studies have focused either on a single regulatory measure or index across multiple metropolitan areas, or multiple regulatory measures in a single region. Third, this paper considers the connection between regulatory stringency and housing values as a function of employment growth and per-worker payroll levels. We find that restrictive land use regulations do indeed have a pervasive effect on local home values and rents, and that these effects are magnified in faster-growing and more prosperous economies. We also find more restrictive land use regulations are not associated with faster rates of recent home value or rent growth, and that their effects on housing construction levels—that is, the degree to which they constrain supply—is uneven among different housing markets.

Phosphorus Loss Mitigation in Leachate and Surface Runoff from Clay Loam Soil Using Four Lime-Based Materials

2018 ◽  
Vol 229 (3) ◽  
Author(s):  
Faezeh Eslamian ◽  
Zhiming Qi ◽  
Michael J. Tate ◽  
Tiequan Zhang ◽  
Shiv O. Prasher
Keyword(s):  
Surface Runoff ◽  
Clay Loam ◽  
Clay Loam Soil ◽  
Phosphorus Loss ◽  
Loss Mitigation ◽  
Loam Soil

scholarly journals Loss of Tree Biomass in Jure Landslide, Sindhupalchowk, Nepal

2016 ◽  
Vol 21 (1) ◽  
pp. 65-70
Author(s):  
Smrita Acharya ◽  
Udhab Raj Khadka
Keyword(s):  
Tree Species ◽  
Sampling Technique ◽  
Allometric Equation ◽  
Total Biomass ◽  
Tree Biomass ◽  
Loss Mitigation ◽  
Shorea Robusta ◽  
Mountainous Regions ◽  
Mountain Environment ◽  
Total Tree

Landslide causes massive loss of lives and properties along with intangible losses in mountainous regions. Yet such intangible losses in ecosystems are rarely considered. The present study assesses the tree biomass lost due to Jure landslide in Sindhupalchowk that destroyed 71 hectare of land. Altogether, 12 plots (250 m2) were sampled through systematic and purposive sampling technique. The total tree biomass was estimated using allometric equation. The study recorded 21 tree species in which Schimawallichiii (Korth.), Lagerstroemia parviflora (Roxb.), Shorea robusta (Gaertn.), Alnus nepalensis (D. Don), Phyllanthus emblica (Linn.) and Celtius australis (Linn.) were dominant. Schima wallichiii had the highest density (320 individual ha-1) and frequency (92%). The total biomass of tree species was 216 ton ha-1 in which Schima wallichiii constituted the highest total tree biomass (82 ton ha-1). In 71 ha landslide area, the landslide caused loss of 15,336 tons of total tree biomass, which equals to 56,283 tons CO2 equivalents. These findings are relevant for assessing post-landslide impacts on the mountain environment. Furthermore, to reduce carbon emissions resulting from forest loss, mitigation of landslide is crucial.Journal of Institute of Science and TechnologyVol. 21, No. 1, 2016,Page: 65-70

scholarly journals Consumers Preferences for Plant Size, Type of Plant Material and Design Sophistication in Residential Landscaping

2000 ◽  
Vol 18 (4) ◽  
pp. 224-230 ◽  
Author(s):  
Jill Hardy ◽  
Bridget K. Behe ◽  
Susan S. Barton ◽  
Thomas J. Page ◽  
Robert E. Schutzki ◽  
...  
Keyword(s):  
Plant Material ◽  
Material Selection ◽  
Perceived Value ◽  
Value Added ◽  
Plant Size ◽  
Relative Importance ◽  
Home Value ◽  
Size Type ◽  
Survey Responses ◽  
Residential Landscaping

Abstract How much value do consumers place on a good landscape? Self-selected attendees to a Detroit, MI, flower show indicated that plant size was the most important factor in the perceived value of a landscape. Holding other factors equal, increasing from the smallest size plant generally available for installation to the largest size defined in our study increased perceived home value by 5.0%. Design sophistication was almost as important as size. Holding other factors equal, upgrading from a traditional foundation planting to a sophisticated design that incorporated multiple bed and curved bedlines increased perceived home value by 4.5%. The type of plant material used was the least important. The relative importance of plant material selection as a factor contributing value added to the home by the landscape was almost half that of plant size and over 40% less than design sophistication. The conjoint model produced from 158 survey responses predicted that from the least valued landscape to the most valued landscape the perceived value of the home increased 12.7%.

scholarly journals Layered multiple description coding of multi-channel audio signals

2021 ◽  
Author(s):  
Katarina Stojadinović
Keyword(s):  
Audio Signal ◽  
Multiple Description Coding ◽  
Packet Networks ◽  
Audio Signals ◽  
Packet Losses ◽  
Loss Mitigation ◽  
Efficient Coding ◽  
Multiple Description ◽  
Redundancy Coding ◽  
Description Coding

In this study, we investigate efficient coding of multi-channel audio signals for transmission over packet networks. The techniques studied and developed as part of this research are based on redundancy coding and aim to achieve robustness with respect to packet losses. The resulting algorithm also addresses the needs of network clients with varying access bandwidths; the algorithm generates multi-layer encoded data streams which can range from basic mono to full multi-channel surround audio. Loss mitigation is achieved by applying multiple description coding technique based on the priority encoding transmission packetization scheme. The hierarchy of the transmitted data is derived from a statistical analysis of the multi-channel audio signal. Inter-channel correlations form the basis for estimating the multi-channel audio signal form the received descriptions at the decoder.

The capitalization of subway access in home value: A repeat-rentals model with supply constraints in Beijing

2015 ◽  
Vol 80 ◽  
pp. 104-115 ◽  
Author(s):  
Weizeng Sun ◽  
Siqi Zheng ◽  
Rui Wang
Keyword(s):  
Home Value

Risk Prevention and Loss Mitigation

2016 ◽  
pp. 475-492
Keyword(s):  
Risk Prevention ◽  
Loss Mitigation
Sign in / Sign up

Export Citation Format

Share Document