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.

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.

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.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document