Urban Form, Individual Spatial Footprints, and Travel

Fan, Yingling; Khattak, Asad J.

doi:10.3141/2082-12

Cited by 92 publications

(78 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Activity spaces may be defined as "local areas within which people move or travel during the course of their daily activities" (Axhausen et al, 2006;Rai et al, 2007). Specifically, consistent with numerous other studies which have looked at individuals' activity spaces (e.g., Fan and Khattak, 2008;Villanueva et al, 2012;Buliung and Kanaroglou, 2006), the activity space was generated as the minimum convex polygon containing all of the individual's GPS points over the study period. To create each participant's activity space, the Convex Hull operation in ArcGIS was used.…”

Section: Community Participationmentioning

confidence: 99%

Using global positioning systems to study health-related mobility and participation

Brusilovskiy

Klein

Salzer

2016

Social Science & Medicine

View full text Add to dashboard Cite

Section: Community Participationmentioning

confidence: 99%

Using global positioning systems to study health-related mobility and participation

Brusilovskiy

Klein

Salzer

2016

Social Science & Medicine

View full text Add to dashboard Cite

“…Each sliding scale technique has typically measured the mix of land uses around one activity location; however, the decision to account for multiple activity locations, demonstrated in the creation of an activity space, has led to the development of a final class of sliding geographic scale. The concept of an activity space, which originated in the field of time geography, has reflected an attempt to recognize the actual and potential engagement of an individual in an activity provided at a given land use (Fan and Khattak 2008). Hence, the delineation of an activity space has defined the spatial area in which the movements of an individual are confined (Lenntorp 1976), which restricts any neighborhood effect to only include the environment actually used by an individual (Miller 2005).…”

Section: Operationalizing Land-use Interactionmentioning

confidence: 99%

Toward a spatial-temporal measure of land-use mix

Gehrke¹,

Clifton²

2015

JTLU

View full text Add to dashboard Cite

Urban planning and public-health research has long been interested in the connection between land-use mix and travel. Interest from urban planners stems from the potential of transportation efficiency gains achieved by an increased land-use mix and subsequent shortening of trip lengths; whereas, public-health research advocates an increased land-use mix as an effective policy for facilitating greater physical activity. Yet, despite the transportation, land-use, and health benefits related to improving land-use mix and the extent of topical attention given by researchers, no consensus has been reached regarding the magnitude of its effect on travel. This absence of agreement may largely be attributed to the theoretical and methodological failings persistent in present attempts to accurately reflect land-use interaction and operationalize its quantification within a defined spatial extent. To better evaluate the impact of land-use mix on travel behavior and assess more temporal policies, a robust mix measure accounting for these two elements of land-use interaction and geographic scale as well as a temporal element of land-use mixing-missing from present specifications-must be introduced. This paper establishes the research agenda for a spatial-temporal land-use mix measure by (1) identifying the conceptual and methodological faults inherent to current land-use interaction and geographic-scale representations and (2) describing strategies and practical benefits of representing the temporal availability of landuse mixing in guiding innovative transportation/land-use policies.

show abstract

“…One predominant and overarching finding has been that individuals residing in an environment with a balanced mix of land use types have generally experienced a reduction in auto travel (Cervero, 1988;Song, et al, 2013a) when compared to residents of less mixed and compact areas (Fan & Khattak, 2008). Beyond simply reducing motorized travel, land use mixing has also been emphasized as an urban policy tool for inducing rideshare opportunities and enhancing the prospects of shared parking arrangements (Cervero, 1988).…”

Section: Motivationmentioning

confidence: 99%

“…The concept of an activity space, which originated in the field of time geography, has reflected an attempt to recognize the actual and potential engagement of an individual in an activity provided at a surrounding land use (Fan & Khattak, 2008).…”

Section: Sliding Geographic Scalementioning

confidence: 99%

“…Given the fact that any built environment measure will be sensitive to the selected geographic scale, a possibility exists that different strategies for operationalizing the built environment will only be relevant for certain trip contexts (Fan & Khattak, 2008). For instance, the choice of a certain combination of scale category and size may not represent the best strategy for measuring the effect of all built environment measures (Lee & Moudon, 2006b).…”

Section: Conceptual Concernsmentioning

confidence: 99%

See 1 more Smart Citation

Land Use Mix and Pedestrian Travel Behavior: Advancements in Conceptualization and Measurement

Gehrke¹

View full text Add to dashboard Cite

Smart growth policies have often emphasized the importance of land use mix as an intervention beholding of lasting urban planning and public health benefits. Past transportation-land use research has identified potential efficiency gains achieved by mixed-use neighborhoods and the subsequent shortening of trip lengths; whereas, public health research has accredited increased land use mixing as an effective policy for facilitating greater physical activity. However, despite the celebrated transportation, land use, and health benefits of improved land use mixing and the extent of topical attention, no consensus has been reached regarding the conceptualization and measurement of this key smart growth principle or the magnitude of its link to walking.This dissertation, comprised of three empirical studies, explores this topic in detail.In the first study, activity-based transportation and landscape ecology theory contributed to the introduction of a multifaceted land use mix construct reflected by a set of composition and configuration indicators. This activity-related land use mix construct, and not the commonly used entropy index, was a significant built environmental determinant of walk mode choice and home-based walk trip frequency.In the second study, structural equation modeling was used to establish a connection between residing in a smart growth neighborhood and home-based pedestrian travel.This study discovered a multidimensional depiction of the traveler's residential environment that was reflective of local land use mix, employment concentration, and pedestrian-oriented design. The second-order factor, which described a smart growth ii neighborhood, had a strong and positive effect on the household-level decision to walk for transportation-related and discretionary travel when assessed in a multidirectional conceptual framework.In the final study, the influence of geographic scale selection on the connection between the built environment and active and auto-related travel was explored.Informed by this sensitivity analysis, which underlined the existence of scaling and zoning effects, mode choice for both work and nonwork travel as a function of individual, household, transportation, and built environment features at the home location and destination was modeled. These discrete choice analysis results found that measures of land use mix and density at each trip end had the strongest effect on the decision to walk rather drive or ride in a vehicle for nonwork trips. In all, the findings from this dissertation provide policymakers and practitioners greater specificity in the measurement of land use mix and its connection to pedestrian travel behavior.iii Acknowledgments

show abstract

Urban Form, Individual Spatial Footprints, and Travel

Cited by 92 publications

References 25 publications

Using global positioning systems to study health-related mobility and participation

Using global positioning systems to study health-related mobility and participation

Toward a spatial-temporal measure of land-use mix

Land Use Mix and Pedestrian Travel Behavior: Advancements in Conceptualization and Measurement

Contact Info

Product

Resources

About