Paying for parking : improving stated-preference surveys

This article describes an experiment which introduced random ranges into the variables used for the design of a stated preference survey and its effects on willingness to pay for parking. User behaviour at the time of parking was modelled to determine their willingness to pay in order to get to their final destination more quickly. Calculating willingness to pay is fundamental during the social and economic assessment of projects. It is important to correctly model how car parks and their users interact in order to get values which represent reality as closely as possible. Willingness to pay is calculated using a stated preference survey and by calibrating multinomial logit models, taking variable tastes into account. It is shown that a value with a low variability can be obtained for willingness to pay by correctly establishing the context of the choice and randomly changing the variables around an average value

Gender and Travel Behavior in Two Arab Communities in Israel

This research addresses the critical but understudied issue of gender differences in travel behaviors in traditional societies, in general, and in the Arab world, in particular. To avoid known problems of data collection, a careful and labor-intensive survey process was undertaken in two Arab communities in northern Israel. The data gathered through this process were analyzed by a variety of statistical means to reveal that rather stark gender distinctions in travel behavior exist. On the whole, men make more tours, spend more time traveling, make more stops, and spend more time at activities at those stops than women. Men disproportionately travel by private vehicle modes, whereas women disproportionately walk. In the communities surveyed, the amount of transit provided was low and had a correspondingly low mode share. This dearth of transit seems to impair women’s travel further. An extensive comparison of adult female and male tour frequencies was undertaken by using bivariate correlations and an ordered logit model. The most striking finding of this analysis was that 1/6th of Arab women do not leave the house to make even a single tour, whereas this proportion is 1/30th for men. The more nuanced statistical analyses revealed that demographic factors affect tour frequency differently for women and men. Effective policy interventions must consider these gender distinctions to address in the best way possible the travel needs of individuals in communities in the Arab world

Transit market research using structural equation modeling and attitudinal market segmentation

This paper presents a comprehensive approach for identifying potential transit markets and for developing strategies to increase public transport ridership. The approach uses structural equation modeling to identify simultaneously travelers\u27 attitudes, travel behavior, and the causal relationships between a traveler\u27s socioeconomic profile and his/her attitude toward travel. Travel attitudes are also used to identify distinct market segments and to develop plans that best serve the needs of each segment and increase transit ridership. The approach is demonstrated with a case study from the Utah Transit Authority

Transit market research using structural equation modeling and attitudinal market segmentation

This paper presents a comprehensive approach for identifying potential transit markets and for developing strategies to increase public transport ridership. The approach uses structural equation modeling (SEM) to identify simultaneously travelers' attitudes, travel behavior, and the causal relationships between a traveler's socioeconomic profile and his/her attitude toward travel. Travel attitudes are also used to identify distinct market segments and to develop plans that best serve the needs of each segment and increase transit ridership. The approach is demonstrated with a case study from the Utah Transit Authority.

ATTITUDINAL MARKET SEGMENTATION APPROACH TO MODE CHOICE AND RIDERSHIP FORECASTING: STRUCTURAL EQUATION MODELING

The San Francisco Bay Area Water Transit Authority is evaluating expanded ferry service, as required by the California Legislature. As part of this process, Cambridge Systematics developed forecasts using a combination of market research strategies and the addition of nontraditional variables into the mode choice modeling process. The focus of this work was on expanding the mode choice model to recognize travelers\u27 attitudes and different market segments. Structural equation modeling was used to simultaneously identify the attitudes of travel behaviors and the causal relationships between traveler\u27s socioeconomic profile and traveler attitudes. Six attitudinal factors were extracted, and three of these were used to partition the ferry-riding market into eight segments. These market segments were used to estimate stated preference mode choice models for 14 alternative modes, which separated the travelers\u27 reactions to time savings by market segment and which recognized that mode choices are different for market segments that are sensitive to travel stress or the desire to help the environment. The new mode choice models were applied within the framework of the Metropolitan Transportation Commission\u27s regional travel model and calibrated to match modal shares, modes of access to each ferry terminal, ridership by route and time period, and person trips by mode at screening line crossings. Additional validation tests of significant changes in ferry service in recent years were used to confirm the reasonableness of the stated preference model. The model has been applied for three future year alternatives and to test the sensitivities of pricing, service changes, and alternative transit modes