scholarly journals Commuter Response to Traffic Information on an Incident

1998 ◽  
Vol 1621 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Ronald Koo ◽  
Youngbin Yim
Keyword(s):  
San Francisco ◽  
Travel Behavior ◽  
San Francisco Bay Area ◽  
Traffic Information ◽  
Behavior Changes ◽  
Bay Area ◽  
Telephone System ◽  
Changes Over Time ◽  
The Impact ◽  
Insight Into

How traffic information is obtained and how it affects travel behavior when a major freeway is congested are presented and discussed. Immediately following a major highway incident south of San Francisco that caused congestion, a telephone survey was conducted of commuters who use the affected corridor of the highway. The behavior of commuters before and during their commute at the time of the incident was determined, including obtaining traffic information and how the information influenced changes in route, mode of travel, and departure time. The results of the survey suggest that traveler behavior is largely unaffected by individual incidents of congestion. Furthermore, although a fair proportion of commuters do obtain traffic information, they do not often modify their travel behavior in response. This study is one of several that collectively will provide insight into how travel behavior changes over time and allow the authors to assess the impact of TravInfo Traveler Advisory Telephone System in the San Francisco Bay Area.

Travel Behavior as Function of Accessibility, Land Use Mixing, and Land Use Balance: Evidence from San Francisco Bay Area

1997 ◽  
Vol 1607 (1) ◽  
pp. 116-125 ◽  
Author(s):  
Kara Maria Kockelman
Keyword(s):  
Land Use ◽  
San Francisco ◽  
Travel Behavior ◽  
Urban Form ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Vehicle Ownership ◽  
Relative Significance ◽  
Bay Area ◽  
The Impact

The relative significance and influence of a variety of measures of urban form on household vehicle kilometers traveled, automobile ownership, and mode choice were investigated. The travel data came from the 1990 San Francisco Bay Area travel surveys, and the land use data were largely constructed from hectare-level descriptions provided by the Association of Bay Area Governments. After demographic characteristics were controlled for, the measures of accessibility, land use mixing, and land use balance—computed for trip-makers’ home neighborhoods and at trip ends—proved to be highly statistically significant and influential in their impact on all measures of travel behavior. In many cases, balance, mix, and accessibility were found to be more relevant (as measured by elasticities) than several household and traveler characteristics that often form a basis for travel behavior prediction. In contrast, under all but the vehicle ownership models, the impact of density was negligible after accessibility was controlled.

A Musical Technography of John Bischoff

2004 ◽  
Vol 14 ◽  
pp. 75-79
Author(s):  
Douglas Kahn
Keyword(s):  
San Francisco ◽  
Early Development ◽  
Computer Music ◽  
Turning Point ◽  
San Francisco Bay Area ◽  
Experimental Music ◽  
Music Technology ◽  
Electronic Components ◽  
Bay Area ◽  
The Impact

John Bischoff has been part of the formation and growth of electronic and computer music in the San Francisco Bay Area for over three decades. In an interview with the author, he describes his early development as a student of experimental music technology, including the impact of hearing and assisting in the work of David Tudor. Bischoff, like Tudor, explored the unpredictable potentials within electronic components, and he brought this curiosity to bear when he began working on one of the first available micro-computers. He was a key individual at the historical turning point when computer music escaped its institutional restric-tions and began becoming widespread.

scholarly journals Examination Of The Influence Of Service Quality On Membership Renewal In Fitness Centers In San Francisco Bay Area

2010 ◽  
Vol 3 (2) ◽  
Author(s):  
Pei Chih Wei ◽  
Huang-Chia Hung ◽  
Hiu-Chu Yang ◽  
Yu-Jui (Arthur) Hsu ◽  
Zhengwei Ma
Keyword(s):  
Service Quality ◽  
San Francisco ◽  
Service Providers ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Customer Relationship ◽  
Fitness Centers ◽  
Fitness Center ◽  
Bay Area ◽  
The Impact

Corporations have to learn how to satisfy their customers’ various demands as the era of interactivity with customers has emerged (Pepper & Rogers, 1999). For fitness center, customers’ demands are increasing and diversified. Therefore, service quality is an index of quality assessment from customers for service-producing industries. Furthermore, the concept of corporate expansion and customer relationship has become the foundation of service-providers for higher profitability through customers’ renewal of membership. The main purpose of this study is to evaluate the impact of service quality on the renewal willingness of fitness center membership. Customers from four fitness centers in the San Francisco Bay Area, USA, were randomly selected for this survey. A total of 50 subjects participated in this survey. The data was analyzed by multiple regression and stepwise regression. The result indicated that the service quality has positive influence on the renewal willingness of membership.

scholarly journals GNSS Interference Characterization and Localization Using OpenSky ADS-B Data

Proceedings ◽  
2020 ◽  
Vol 59 (1) ◽  
pp. 10
Author(s):  
Zixi Liu ◽  
Sherman Lo ◽  
Todd Walter
Keyword(s):  
Convex Optimization ◽  
San Francisco ◽  
Source Localization ◽  
Situational Awareness ◽  
San Francisco Bay Area ◽  
Satellite System ◽  
Navigation Satellite ◽  
Bay Area ◽  
Global Navigation Satellite ◽  
The Impact

There is a growing dependence of critical and safety-of-life systems on the Global Navigation Satellite System (GNSS). GNSS interference events can cause severe impacts on aircraft safety, including unavailability of GNSS-based landing services. Therefore, it is important to be able to identify, localize, and remove interference sources that may cause these impacts. This project concentrates on events that affect the the airport environment and aims to provide improved situational awareness and safety for local airspace users. This paper contains three main sections: OpenSky ADS-B data processing, interference event characterization, and interference source localization. Specifically, we identified and removed incorrect timestamps from ADS-B ground receivers. We characterized the impact of interference events based on reported interference events that occurred at a San Francisco bay area airport. In addition, we designed a convex optimization model for localizing the interference sources given the ADS-B measurement. This article looks at common characteristics caused by the impact of interference events and shows a possible way to localize interference sources using ADS-B data.

A Typological Approach to Individual Urban Travel Behavior Prediction

1975 ◽  
Vol 7 (2) ◽  
pp. 141-152 ◽  
Author(s):  
N Oppenheim
Keyword(s):  
San Francisco ◽  
Travel Behavior ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Urban Resident ◽  
Transit System ◽  
Urban Travel ◽  
Behavior Type ◽  
Bay Area ◽  
Typological Approach

With the use of cluster analysis a sample of 1018 residents of the San Francisco Bay Area was classified into eleven types of urban residents on the basis of overall similarity of personal and environmental characteristics, and independently into nine types of travel behavior. The relations between the two typologies, and the comparative travel behavior of the types of urban resident were investigated in an attempt to gain insight into the determinants of urban travel. The probability of the correct assignment of a travel behaviour type to an urban resident type was of the order of 0·30. Monte Carlo simulation methods were used to test empirically whether the value of a given travel behavior characteristic for a given urban resident type can be assumed to be higher (or lower) than the value in the general population, thus testing the predictability of the travel behavior of the various urban resident types. Conversely, the prediction of the urban traveler's personal characteristics given his travel behavior type was also evaluated. This typological approach made the prediction of the usage of the San Francisco Bay Area rapid transit system (for going to work, for going to shop, for going out for leisure, or for some other purpose) possible, in about 15% of the cases, from the knowledge of the urban resident type and, in about 25% of the cases, from the knowledge of the travel behavior type.

scholarly journals Effects of COVID-19 “Sheltering in Place” on Activity in People with Multiple Sclerosis

2020 ◽  
pp. 10.1212/CPJ.0000000000000982
Author(s):  
Valerie J Block ◽  
Riley Bove ◽  
Jeffrey M Gelfand ◽  
Bruce A C Cree
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
San Francisco ◽  
San Francisco Bay Area ◽  
Wearable Technology ◽  
Bay Area ◽  
Neurological Conditions ◽  
Low Levels ◽  
The Impact ◽  
Primary Form

People with neurological conditions that impair mobility such as multiple sclerosis (MS) have low levels of physical activity, with walking their primary form of exercise. When the San Francisco Bay Area shelter-in-place order was announced in mid-March 2020 to flatten the curve of SARS-CoV-2 infections, the abrupt closure of gyms, fitness studios, and malls greatly limited options for safe exercise. We leveraged an ongoing study utilizing wearable technology, to understand the impact of the shelter-in-place policy on physical activity in people with MS (PwMS) at-risk for neurological worsening.

Chinese and Indian Restaurants in the San Francisco Bay Area since the 1960s

2017 ◽  
Vol 94 (4) ◽  
pp. 23-44
Author(s):  
Laresh Jayasanker
Keyword(s):  
United States ◽  
San Francisco ◽  
San Francisco Bay Area ◽  
Rapid Change ◽  
The United States ◽  
Food Culture ◽  
Bay Area ◽  
Indian Food ◽  
The 1960S ◽  
The Impact

Accelerated global trade and mass immigration have brought rapid change to food culture in the United States over the past fifty years. San Francisco has been at the center of these changes. Bay Area restaurateurs Cecilia Chiang (The Mandarin) and her son Philip Chiang (P.F. Chang's), illustrate how Chinese food changed in the United States, moving out of historic Chinatowns and into the suburbs. David Brown's India House restaurant in San Francisco embodied the way Indian food was understood before the 1960s – interpreted through the lens of the British Empire. By the 2000s, Indian food had broken free of this colonial association and was available in its diverse regional variations – especially in the Bay Area suburbs fueled by the computer industry. These case studies all illustrate the impact of globalization and immigration on American food culture through the lens of San Francisco.

Gender, Race, and Travel Behavior: Analysis of Household-Serving Travel and Commuting in San Francisco Bay Area

1997 ◽  
Vol 1607 (1) ◽  
pp. 147-153 ◽  
Author(s):  
Michael Mauch ◽  
Brian D. Taylor
Keyword(s):  
Gender Differences ◽  
San Francisco ◽  
Travel Behavior ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Grocery Shopping ◽  
Behavioral Differences ◽  
Men And Women ◽  
Bay Area ◽  
Race Ethnicity

Detailed trip diary data from a 1990 survey of San Francisco Bay Area residents were used to examine the effects of race/ethnicity on the differences in commuting and household-serving travel among men and women. With respect to travel behavioral differences between men and women, the findings suggest that women do more child chauffeuring and make more household-serving trips than men. This analysis further reveals that these gender differences in commuting behavior extend to household-serving travel and can vary significantly by race/ethnicity in addition to income and household structure. It was found, for example, that commute time differences are highest among whites (4.5 min) and lowest among Hispanics (1.8 min), whereas observed gender differences in average travel time for all trips do not vary much by race or ethnicity. Furthermore, the gender variation in child-serving trips was lowest among Asians and Pacific Islanders (women are 60 percent more likely to make such trips) and highest among whites (women are 223 percent more likely to make such trips). Finally, and in contrast to child-serving travel, women make about 75 percent more grocery trips than men, regardless of race/ethnicity. The analysis suggests, however, that much, although not all, of the racial/ethnic variation in the travel behavior of men and women is probably explained by factors—such as income, employment status, metropolitan location, and automobile availability—that tend to vary systematically by race ethnicity. In general, it was found that gender is a far more robust predictor of child-serving and grocery shopping trips than either race or ethnicity.

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