Developing Regional Building Inventories: Lessons from the Field

2012 ◽  
Vol 28 (4) ◽  
pp. 1305-1329 ◽  
Author(s):  
Thalia Anagnos ◽  
Mary C. Comerio ◽  
Christine Goulet ◽  
Peter J. May ◽  
Marjorie Greene ◽  
...  
Keyword(s):  
Los Angeles ◽  
Human Resources ◽  
San Francisco ◽  
Satellite Images ◽  
City Size ◽  
Policy Recommendations ◽  
Inventory Data ◽  
Multiple Sources ◽  
Building Stock ◽  
Single Approach

Between 2008 and 2011 members of the Concrete Coalition completed numerous building inventories of California cities to assemble a database of California pre-1980 concrete buildings. Inventory collectors used a variety of data sources ranging from county assessors' files to Sanborn maps and satellite images. Sidewalk surveys were used to corroborate data collected from multiple sources, and a regression model was developed to extrapolate data to cities where detailed inventory collection was not possible. Lessons drawn from the inventories of three cities—Alameda, Los Angeles, and San Francisco—indicate that no single approach can be recommended, but instead, the approach depends on many things, including city size, building stock, available budget, available data, and the availability and experience of human resources. Regardless of approach, inventory data is a valuable resource for developing loss estimates and policy recommendations.

The “Japanese Turn” in Fine Dining in the United States, 1980–2020

2020 ◽  
Vol 20 (2) ◽  
pp. 45-54
Author(s):  
Samuel H. Yamashita
Keyword(s):  
United States ◽  
New York ◽  
Los Angeles ◽  
San Francisco ◽  
San Francisco Bay Area ◽  
The United States ◽  
First Century ◽  
Further Training ◽  
Bay Area ◽  
Wide Acceptance

In the 1970s, Japanese cooks began to appear in the kitchens of nouvelle cuisine chefs in France for further training, with scores more arriving in the next decades. Paul Bocuse, Alain Chapel, Joël Robuchon, and other leading French chefs started visiting Japan to teach, cook, and sample Japanese cuisine, and ten of them eventually opened restaurants there. In the 1980s and 1990s, these chefs' frequent visits to Japan and the steady flow of Japanese stagiaires to French restaurants in Europe and the United States encouraged a series of changes that I am calling the “Japanese turn,” which found chefs at fine-dining establishments in Los Angeles, New York City, and later the San Francisco Bay Area using an ever-widening array of Japanese ingredients, employing Japanese culinary techniques, and adding Japanese dishes to their menus. By the second decade of the twenty-first century, the wide acceptance of not only Japanese ingredients and techniques but also concepts like umami (savory tastiness) and shun (seasonality) suggest that Japanese cuisine is now well known to many American chefs.

The Resilient City

2005 ◽  
Keyword(s):  
World War Ii ◽  
Los Angeles ◽  
San Francisco ◽  
World Trade Center ◽  
Religious Faith ◽  
Oklahoma City Bombing ◽  
Late 20Th Century ◽  
Ancient City ◽  
Trade Center ◽  
The City

In 1871, the city of Chicago was almost entirely destroyed by what became known as The Great Fire. Thirty-five years later, San Francisco lay in smoldering ruins after the catastrophic earthquake of 1906. Or consider the case of the Jerusalem, the greatest site of physical destruction and renewal in history, which, over three millennia, has suffered wars, earthquakes, fires, twenty sieges, eighteen reconstructions, and at least eleven transitions from one religious faith to another. Yet this ancient city has regenerated itself time and again, and still endures. Throughout history, cities have been sacked, burned, torched, bombed, flooded, besieged, and leveled. And yet they almost always rise from the ashes to rebuild. Viewing a wide array of urban disasters in global historical perspective, The Resilient City traces the aftermath of such cataclysms as: --the British invasion of Washington in 1814 --the devastation wrought on Berlin, Warsaw, and Tokyo during World War II --the late-20th century earthquakes that shattered Mexico City and the Chinese city of Tangshan --Los Angeles after the 1992 riots --the Oklahoma City bombing --the destruction of the World Trade Center Revealing how traumatized city-dwellers consistently develop narratives of resilience and how the pragmatic process of urban recovery is always fueled by highly symbolic actions, The Resilient City offers a deeply informative and unsentimental tribute to the dogged persistence of the city, and indeed of the human spirit.

MR. HOLMES Bakehouse: Surviving the Coronavirus

2021 ◽  
pp. 251512742199780
Author(s):  
Marlene M. Reed ◽  
Les Palich
Keyword(s):  
Los Angeles ◽  
San Francisco ◽  
Grocery Store

This case is about Aaron Caddel, an entrepreneur, who owned several coffee houses and bakeries in San Francisco and Los Angeles and had to rethink his businesses during the Covid 19 pandemic in early 2020. Aaron pulled the plug on his operations on March18, operated as a grocery store until March 21. With no knowledge of e-commerce but possessing a staff of skilled bakers and a 4,200 square foot warehouse, Aaron believed he could pivot his business and keep his workers employed. His concern was the steps he should take to support a business that would help him keep his workers employed during the pandemic.

scholarly journals 214 Longitudinal Changes in Sleep Duration, Timing, Variability, and Stages during the COVID-19 Pandemic: Large-Scale Fitbit Data

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A86-A86
Author(s):  
Michael Grandner ◽  
Naghmeh Rezaei
Keyword(s):  
New York ◽  
Los Angeles ◽  
San Francisco ◽  
Sleep Duration ◽  
Large Scale ◽  
Age Groups ◽  
Population Level ◽  
Sleep Stages ◽  
Longitudinal Changes ◽  
Timing Variability

Abstract Introduction The COVID-19 pandemic has resulted in societal-level changes to sleep and other behavioral patterns. Objective, longitudinal data would allow for a greater understanding of sleep-related changes at the population level. Methods N= 163,524 deidentified active Fitbit users from 6 major US cities contributed data, representing areas particularly hard-hit by the pandemic (Chicago, Houston, Los Angeles, New York, San Francisco, and Miami). Sleep variables extracted include nightly and weekly mean sleep duration and bedtime, variability (standard deviation) of sleep duration and bedtime, and estimated arousals and sleep stages. Deviation from similar timeframes in 2019 were examined. All analyses were performed in Python. Results These data detail how sleep duration and timing changed longitudinally, stratified by age group and gender, relative to previous years’ data. Overall, 2020 represented a significant departure for all age groups and both men and women (P<0.00001). Mean sleep duration increased in nearly all groups (P<0.00001) by 5-11 minutes, compared to a mean decrease of 5-8 minutes seen over the same period in 2019. Categorically, sleep duration increased for some and decreased for others, but more extended than restricted. Sleep phase shifted later for nearly all groups (p<0.00001). Categorically, bedtime was delayed for some and advanced for others, though more delayed than advanced. Duration and bedtime variability decreased, owing largely to decreased weekday-weekend differences. WASO increased, REM% increased, and Deep% decreased. Additional analyses show stratified, longitudinal changes to sleep duration and timing mean and variability distributions by month, as well as effect sizes and correlations to other outcomes. Conclusion The pandemic was associated with increased sleep duration on average, in contrast to 2019 when sleep decreased. The increase was most profound among younger adults, especially women. The youngest adults also experienced the greatest bedtime delay, in line with extensive school-start-times and chronotype data. When given the opportunity, the difference between weekdays and weekends became smaller, with occupational implications. Sleep staging data showed that slightly extending sleep minimally impacted deep sleep but resulted in a proportional increase in REM. Wakefulness during the night also increased, suggesting increased arousal despite greater sleep duration. Support (if any) This research was supported by Fitbit, Inc.

scholarly journals Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1432
Author(s):  
Xwégnon Ghislain Agoua ◽  
Robin Girard ◽  
Georges Kariniotakis
Keyword(s):  
Satellite Images ◽  
Forecast Accuracy ◽  
Absolute Error ◽  
Data Sources ◽  
Test Case ◽  
Temporal Data ◽  
Multiple Sources ◽  
Forecasting Error ◽  
Spatio Temporal ◽  
The Impact

The efficient integration of photovoltaic (PV) production in energy systems is conditioned by the capacity to anticipate its variability, that is, the capacity to provide accurate forecasts. From the classical forecasting methods in the state of the art dealing with a single power plant, the focus has moved in recent years to spatio-temporal approaches, where geographically dispersed data are used as input to improve forecasts of a site for the horizons up to 6 h ahead. These spatio-temporal approaches provide different performances according to the data sources available but the question of the impact of each source on the actual forecasting performance is still not evaluated. In this paper, we propose a flexible spatio-temporal model to generate PV production forecasts for horizons up to 6 h ahead and we use this model to evaluate the effect of different spatial and temporal data sources on the accuracy of the forecasts. The sources considered are measurements from neighboring PV plants, local meteorological stations, Numerical Weather Predictions, and satellite images. The evaluation of the performance is carried out using a real-world test case featuring a high number of 136 PV plants. The forecasting error has been evaluated for each data source using the Mean Absolute Error and Root Mean Square Error. The results show that neighboring PV plants help to achieve around 10% reduction in forecasting error for the first three hours, followed by satellite images which help to gain an additional 3% all over the horizons up to 6 h ahead. The NWP data show no improvement for horizons up to 6 h but is essential for greater horizons.

scholarly journals Measuring Recurrent and Nonrecurrent Traffic Congestion

2003 ◽  
Vol 1856 (1) ◽  
pp. 118-124 ◽  
Author(s):  
Alexander Skabardonis ◽  
Pravin Varaiya ◽  
Karl F. Petty
Keyword(s):  
Los Angeles ◽  
Travel Time ◽  
San Francisco ◽  
Traffic Congestion ◽  
Real Life ◽  
Time Variability ◽  
Loop Detectors ◽  
Bay Area ◽  
Freeway Corridors ◽  
Travel Time Variability

A methodology and its application to measure total, recurrent, and nonrecurrent (incident related) delay on urban freeways are described. The methodology used data from loop detectors and calculated the average and the probability distribution of delays. Application of the methodology to two real-life freeway corridors in Los Angeles, California, and one in the San Francisco, California, Bay Area, indicated that reliable measurement of congestion also should provide measures of uncertainty in congestion. In the three applications, incident-related delay was found to be 13% to 30% of the total congestion delay during peak periods. The methodology also quantified the congestion impacts on travel time and travel time variability.

Los Angeles Dodgers vs. San Francisco Giants, April 1958

2005 ◽  
Vol 82 (4) ◽  
pp. 44-61
Author(s):  
Kevin Nelson
Keyword(s):  
Los Angeles ◽  
San Francisco
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