作者: Reid Ewing , Shi Chiang Li , MaryBeth DeAnna
DOI: 10.3141/1518-01
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摘要: In the conventional four-step travel demand modeling process, number of trips made by a household is modeled in terms size, income, and other sociodemographic variables; any effect location, land use, or transportation service level discounted. This same as discounting accessibility to out-of-home activities factor trip generation (accessibility depending on all three: level). contrast practice generation, theory tells us that rates must vary with accessibility, some (not all) empirical studies have found they do. light conflicting studies, obvious need for more precise policy-sensitive forecasts, this issue revisited. The independent effects use variables were tested using data from Florida surveys. It was that, after controlling variables, residential density, mixed do not significant, rates. Conventional models, which generate person vehicle modes) so without regard may be bad one would imagine priori.