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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Papers in regional science 30 (1973), S. 0 
    ISSN: 1435-5957
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Economics
    Type of Medium: Electronic Resource
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  • 2
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    Unknown
    Chicago : Periodicals Archive Online (PAO)
    Journal of marketing research. 12:3 (1975:Aug.) 347 
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    The annals of regional science 7 (1973), S. 1-12 
    ISSN: 1432-0592
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography , Economics
    Notes: Abstract An economic utility theory model specifying automobile ownership decision-making in terms of intra-urban locational factors is presented. The long-range objective of the research is to provide an improvement in urban transportation planners' understanding of the relationships between automobile ownership by families residing within urban environments and the supply of transportation system facilities and services. Determinant variables in the model are: the spatial locations of trip destinations accessible to urban travellers with and without use of an automobile and at various times of day, the respective travel times to these destinations by auto and by alternate public transit modes, and the yearly capital and operating cost of automobile ownership in excess of cost by the alternate mode(s). Explicitly evaluated factors in the theory of decision-making proposed include the perceived benefits to tripmakers of travelling to destinations at various times, and the values placed on leisure time and consumption of all other goods. Emphasis is placed on decisions to purchase a second car, predictions of which are particularly relevant to urban transportation planning. Empirical tests for application with traditional transportation planning data are developed for various model hypotheses. These hypotheses are interpreted in terms of future research needs and directions.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Papers in regional science 30 (1973), S. 159-182 
    ISSN: 1435-5957
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geography , Economics
    Notes: Conclusions The results show that the utility framework is consistent with the observed shopping and work-trip patterns in the Detroit Metropolitan Area. Specifically, they show that an entropy utility function (exponential resistance function) explains the data better than a gravity utility function (power resistance function). Tripmaking is influenced by the income and location of the individual. The low-income households made fewer trips than the higher income households which is most likely related to the lack of automobile availability particularly in a region like Detroit where public transportation is underdeveloped. Various suggestions have emerged for further research in spatial interaction.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Transportation 6 (1977), S. 265-286 
    ISSN: 1572-9435
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract A procedure is presented for using data on travelers' attitudes to predict changes in choice of transportation mode accompanying changes in the characteristics of the modes. The characteristics typically include such qualitative attributes as “opportunity to relax” and “security from undesirable acts of others” as well as quantitative attributes such as “travel time.” The procedure involves the following steps: 1. Conduct a general-purpose survey eliciting travelers' attitudes toward their mode choice alternatives on a comprehensive set of descriptive attributes. 2. egment respondents with respect to homogeneity of perceived constraints on choice of mode. 3. Determine latent dimensions of each segment's perceptions of the alternative modes. 4. Estimate choice models for each segment using the perception dimensions to define the explanatory variables. 5. Estimate demand elasticities in terms of the explanatory attitudinal variables. 6. Design and implement small special-purpose surveys eliciting attitudes toward proposed changes in transport systems being considered in planning policy decisions. 7. Generate demand forecasts for the policy alternatives. Statistical results from a case-study application of the first five steps of the procedure indicate satisfactory goodness-of-fit in describing choices between automobile and bus as examples.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Transportation 5 (1976), S. 175-198 
    ISSN: 1572-9435
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract Accessibility measures reflect the level of service provided by transportation systems to various locations. Basic transportation choice behavior is defined to include those decisions of how many automobiles to own and how many trips to which destinations to make by automobile and by public transit. Here, these decisions are assumed to be made jointly by urban households and are conditional upon residential location decisions. It is the purpose of this paper to explore the role of accessibility as a causal factor in such basic transportation choice behavior. An economic utility theory model of choice behavior is postulated in which the benefits from making trips to specific destinations are reflected by measures of destination attraction. Through determination of utility-maximizing trip frequencies, indirect utility functions are developed which include accessibility concepts. Behavioral implications of these concepts are proposed and contrasts are drawn to accessibility measures used in conventional segregated models of trip distribution, modal choice, and automobile ownership. Sensitivity analyses of alternative empirical definitions of accessibility in the choice model are conducted using data from the Detroit Regional Transportation and Land Use Study — covering counties in southeastern Michigan. These analyses employ a multinomial logit estimation technique and focus on definitions of trip attraction. Results of these analyses indicate that more complicated attraction measures can be replaced by measures involving the proportion of either urban area population or urban area employment within a traffic analysis zone. Also, evidence is found that decision-makers in the case study area consider trips of up to 60 or even 90 minutes duration when evaluating accessibilities offered by alternative public and private transportation systems.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Transportation 17 (1990), S. 1-28 
    ISSN: 1572-9435
    Keywords: panels ; flexible work hours ; longitudinal data ; Honolulu
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract This paper documents an application of panel, or longitudinal data collection in the evaluation of a TSM (Transportation Systems Management) demonstration project. The project was a four-week demonstration of staggered work hours in downtown Honolulu during February–March 1988. The 4 wave panel survey elicited commuting experiences of approximately 2,000 downtown employees at two week intervals before and during the project. The sample involved both employees who participated in the project by shifting their work hours, and those who did not. The panel survey was augmented by floating-car observations of travel times on major routes into downtown Honolulu on the same four dates. The purpose of the analysis was to determine whether employee commute times were affected, and if so, how these changes were distributed among various employee segments. Two methods were used. First, travel time changes were estimated using paired t-tests. Second, regression equations were used to estimate project time savings as a function of trip length, route, and location of residence. Results show that travel time savings due to the project were typically small, less than ten percent. Nonparticipants experienced greater savings than participants, and some segments of participants experienced longer travel times during the project. The panel method proved to be an effective way to measure project travel time impacts and shows that the method is appropriate in short time applications.
    Type of Medium: Electronic Resource
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