Journal article
Modeling spatial segregation and travel cost influences on utilitarian walking: Towards policy intervention
Computers, environment and urban systems, v 51, pp 59-69
May 2015
PMID: 25733776
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
•The mixed land use is important determinant of income difference in walking.•Increasing the cost of driving could increase the income difference in walking.•Decreasing attitudes towards driving and shifting cost structures to favor walking could synergistically increase walking.
We develop an agent-based model of utilitarian walking and use the model to explore spatial and socio-economic factors affecting adult utilitarian walking and how travel costs as well as various educational interventions aimed at changing attitudes can alter the prevalence of walking and income differentials in walking. The model is validated against US national data. We contrast realistic and extreme parameter values in our model and test effects of changing these parameters across various segregation and pricing scenarios while allowing for interactions between travel choice and place and for behavioral feedbacks. Results suggest that in addition to income differences in the perceived cost of time, the concentration of mixed land use (differential density of residences and businesses) are important determinants of income differences in walking (high income walk less), whereas safety from crime and income segregation on their own do not have large influences on income differences in walking. We also show the difficulty in altering walking behaviors for higher income groups who are insensitive to price and how adding to the cost of driving could increase the income differential in walking particularly in the context of segregation by income and land use. We show that strategies to decrease positive attitudes towards driving can interact synergistically with shifting cost structures to favor walking in increasing the percent of walking trips. Agent-based models, with their ability to capture dynamic processes and incorporate empirical data, are powerful tools to explore the influence on health behavior from multiple factors and test policy interventions.
Metrics
Details
- Title
- Modeling spatial segregation and travel cost influences on utilitarian walking: Towards policy intervention
- Creators
- Yong Yang - School of Public Health, University of Memphis, Memphis, TN, USAAmy H Auchincloss - Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA, USADaniel A Rodriguez - Department of City and Regional Planning, University of North Carolina, Chapel Hill, NC, USADaniel G Brown - School of Natural Resources & Environment, University of Michigan, Ann Arbor, MI, USARick Riolo - Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI, USAAna V Diez-Roux - School of Public Health, Drexel University, Philadelphia, PA, USA
- Publication Details
- Computers, environment and urban systems, v 51, pp 59-69
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:000351655700006
- Scopus ID
- 2-s2.0-84922379961
- Other Identifier
- 991014878242804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Environmental
- Environmental Studies
- Geography
- Operations Research & Management Science
- Regional & Urban Planning