Influence of neighborhood types on trip distances: Spatial error models for Central Ohio

Akar, Gulsah; Chen, Na; Gordon, Steven I.

doi:10.1080/15568318.2014.903447

Cited by 31 publications

(30 citation statements)

References 27 publications

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Section: Travel Distancesmentioning

confidence: 98%

“…Women are found to travel shorter distances than men (Akar et al, 2016;Elldér, 2014;Mercado & Páez, 2009). The elderly travel less frequently and when they do, they cover shorter distances (Akar et al, 2016;Elldér, 2014;Mercado & Páez, 2009;Schmöcker, Quddus, Noland, & Bell, 2005). Having a driver's license increases travel distances (Akar et al, 2016;Mercado & Páez, 2009;Morency, Páez, Roorda, Mercado, & Farber, 2011;Schmöcker et al, 2010).…”

Section: Travel Distancesmentioning

confidence: 98%

“…The elderly travel less frequently and when they do, they cover shorter distances (Akar et al, 2016;Elldér, 2014;Mercado & Páez, 2009;Schmöcker, Quddus, Noland, & Bell, 2005). Having a driver's license increases travel distances (Akar et al, 2016;Mercado & Páez, 2009;Morency, Páez, Roorda, Mercado, & Farber, 2011;Schmöcker et al, 2010). Workers travel longer distances than the counterparts do (Akar et al, 2009;Liu, 2012;Mercado & Páez;Schmöcker et al, 2009).…”

Section: Travel Distancesmentioning

confidence: 99%

“…Outcomes of travel behavior, primarily in terms of travel distances and vehicle miles traveled (VMT), have been viewed as main contributors to greenhouse effects, energy consumption, environmental quality, traffic congestion, and traffic accidents (Akar, Chen, & Gordon, 2016;Brownstone & Golob, 2009;Rentziou, Gkritza, & Souleyrette, 2012). In addition, travel distances and travel demand are associated with activity-travel patterns such as trip chaining and joint travel (Bricka, 2008;Duncan, 2015;Vovsha, Peterson, & Donnelly, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Trip chaining and joint travel are generally identified as measurements of tour complexity, intra-household interactions, and spatial-temporal constraints in travel behavior studies (Chandrasekharan & Goulias, 1999;Ho & Mulley, 2013a;Noland & Thomas). Many studies have regarded trip chaining, joint travel, and travel distances as different aspects of travel behavior to be explained by various factors, including socio-demographics and urban form (Akar et al, 2016;Ewing & Cervero, 2001;Ewing & Cervero, 2010). However, limited work has been done to use activity-travel patterns as mediating variables and analyze how trip chaining and joint travel shape the resulting travel distances.…”

Section: Introductionmentioning

confidence: 99%

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Using trip chaining and joint travel as mediating variables to explore the relationships among travel behavior, socio-demographics and urban form

Chen

Akar

2017

JTLU

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Using 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 sociodemographics 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.

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