A unified theory of consumption, travel and trip chaining
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Cited by (32)
Metropolitan area heterogeneity and the impact of road infrastructure improvements on VMT
2023, Transportation Research Part A: Policy and PracticeUrban expansion using remote-sensing data and a monocentric urban model
2019, Computers, Environment and Urban SystemsCitation Excerpt :These studies implicitly assumed that the mechanisms of urban formation are described by the AMM model; however, the empirical estimation models used in these studies were log-linear regressions with arbitrary connections among the explanatory variables, such as total number of population, travel cost, and household income, which have no direct connection to the formulation of the AMM model. Because cities are dynamic entities, and also urban areas tend to become more polycentric over time, polycentric models representing actual urban structures have been a focus of increasing attention (Anas, 2007). Needless to say, numerous sophisticated urban models have been proposed and applied to developed countries for urban-planning purposes (for reviews, see e.g. Hunt, Kriger, & Miller, 2005; Iacono, Levinson, & El-Geneidy, 2008; Acheampong & Silva, 2015; and Kii, Nakanishi, Nakamura, & Doi, 2016).
Reprint of Measuring trends in household expenditures for daily mobility. The case in Lyon, France, between 1995 and 2015
2018, Transport PolicyCitation Excerpt :Mobility is a consumer good requiring a differentiated assessment. Certain types of travel, e.g. for vacation, may be seen as final consumer goods, whereas most daily mobility (e.g. to work, for groceries or various errands) serves as an intermediate good to achieve a more important, often unavoidable activity, which means it is necessary to take into account the overall context in which the mobility is required (Anas, 2007; Ferdous et al., 2010). This wider focus, taking into account all household expenses, is of course a major advantage of this work.
Comparing travel mode and trip chain choices between holidays and weekdays
2016, Transportation Research Part A: Policy and PracticeCitation Excerpt :Understanding people’s travel behavior is essential for the planning and management of transportation systems. Among all travel behaviors, travel mode choice (such as bike, bus, car) and trip chain pattern (which refers to a sequence of trips that starts and ends at home within a day) are important decisions that impact the efficiency of the whole transportation systems, and thus have attracted considerable attentions from researchers in multiple disciplines including transportation engineering (Shiftan, 1998), geography (Albert, 1993), and urban economics (Anas, 2006). Previously, many studies have developed models to evaluate individuals’ choice of travel mode or trip chain pattern, although in early days those two types of models were built separately without considering the connection between the two choices (Adler and Ben-Akiva, 1979; Albert, 1993; Shiftan, 1998; Wen and Koppelman, 2000; Anas, 2006; Yang et al., 2007).