Browsing by Subject "Trip length"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item Built environment and car driving distance in a small city context(Journal of Transport and Land Use, 2018) Wolday, FitwiThis article focuses on the effect of built-environment factors on travel behavior in the context of small cities. Urban size and spatial context are central to travel behavior analysis because of the spatiotemporal nature of transportation. Different urban structural attributes exert travel behavioral influences at different spatial scales (local vs. regional) and urban sizes. Due to this inherent geographic dimension in travel studies, findings from larger urban areas may not be transferable to small cities. Despite this, however, small cities remain scantily represented in the literature. Using multivariate analysis on survey data from three small cities in Norway, this paper finds that the built-environment effects on travel behavior are highly influenced by regional characteristics and the city’s center structure (poly-centered vs. single centered). Residential proximity to the city center leads to reduced car driving distance through its distance-minimizing effect to concentrations of facilities for local travel. At the regional scale, proximity to the city center influences car driving distance via the higher likelihood among centrally located commuters of choosing transit as their commute mode.Item Theoretical substantiation of trip length distribution for home-based work trips in urban transit systems(Journal of Transport and Land Use, 2018) Horbachov, Peter; Svichynskyi, StanislavModern approaches to the modeling of transport demand imply the use of calibration procedures during the origin-destination (O-D) matrix estimation or transit assignment. These procedures lead to misrepresenting generated and attracted trips or changing the trip length distribution (TLD). It means that the methods of transport planning can be improved by means of determination, validation and implementation of the TLD to calculate the O-D matrix. The analysis of research results in the field of mass transit reveals an explicit similarity between TLD in different cities and the gamma distribution. It points to general regularities in various systems of mass transit that lead to the similarity in TLD. The regularities are determined by studying the spatial distribution of mass transit stops, which are considered trip origins and destinations. The experimental research was conducted in 10 Ukrainian cities using probability theory methods.Item Using trip chaining and joint travel as mediating variables to explore the relationships among travel behavior, socio-demographics, and urban form(Journal of Transport and Land Use, 2017) Chen, Yu-Jen; Akar, GulsahUsing the 2012 Household Travel Survey data for the Cleveland metropolitan area, this study aims to examine the connections between travel behavior by using trip chaining and joint travel as mediating variables of travel distances and controlling for socio-demographics and urban form. Trip chaining and joint travel capture the complexity of tours and intra-household interactions, respectively. Socio-demographics represent personal and household characteristics. Urban form, which is measured not only at tour origins but also at tour destinations, helps capture the effects of residential density, retail and non-retail densities, transportation connectivity, public transit accessibility, and land-use mix. Structural equation model (SEM) approaches are applied to examine the interrelationships among these variables. The model results reveal that significant effects with expected signs exist among travel behavior: Trip chaining is negatively associated with joint travel and positively related to travel distances, and joint travel has negative effects on travel distances. Consistent with existing literature, socio-demographic attributes are strong explanatory factors of travel behavior. Urban form characteristics have significant influence on travel distances at both tour origins and destinations. The findings of this study will improve the future evaluation of transportation projects and land-use policymaking.