A fishnet-constrained land use mix index derived from remotely sensed data

References

• Anderson, J. R. 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Vol. 964. Washington, DC: US Government Printing Office.
   Google Scholar
• Bendavid-Val, A. 1991. Regional and Local Economic Analysis for Practitioners. 4th ed. Westport, CT: Praeger.
   Google Scholar
• Brownson, R. C., C. M. Hoehner, K. Day, A. Forsyth, and J. F. Sallis. 2009. “Measuring the Built Environment for Physical Activity: State of the Science.” American Journal of Preventive Medicine 36 (4): SS99–123. doi:10.1016/j.amepre.2009.01.005.
   Google Scholar
• Cervero, R. 1988. “Land-Use Mixing and Suburban Mobility.” Transportation Quarterly 42 (3): 429–446.
   Google Scholar
• Cervero, R., and K. Kockelman. 1997. “Travel Demand and the 3ds: Density, Diversity, and Design.” Transportation Research Part D: Transport and Environment 2 (3): 199–219. doi:10.1016/S1361-9209(97)00009-6.
   Google Scholar
• Christian, H. E., F. C. Bull, N. J. Middleton, M. W. Knuiman, M. L. Divitini, P. Hooper, A. Amarasinghe, and B. Giles-Corti. 2011. “How Important Is the Land Use Mix Measure in Understanding Walking Behaviour? Results from the RESIDE Study.” The International Journal of Behavioral Nutrition and Physical Activity 8 (1): 55. doi:10.1186/1479-5868-8-55.
   Google Scholar
• Duncan, M. J., E. Winkler, T. Sugiyama, E. Cerin, L. duToit, E. Leslie, and N. Owen. 2010. “Relationships of Land Use Mix with Walking for Transport: Do Land Uses and Geographical Scale Matter?” Journal of Urban Health 87 (5): 782–795. doi:10.1007/s11524-010-9488-7.
   Google Scholar
• Dur, F., T. Yigitcanlar, and J. Bunker. 2014. “A Spatial-Indexing Model for Measuring Neighbourhood-Level Land-Use and Transport Integration.” Environment and Planning B: Planning and Design 41 (5): 792–812. doi:10.1068/b39028.
   Google Scholar
• Ewing, R., R. C. Brownson, and D. Berrigan. 2006. “Relationship between Urban Sprawl and Weight of United States Youth.” American Journal of Preventive Medicine 31 (6): 464–474. doi:10.1016/j.amepre.2006.08.020.
   Google Scholar
• Forsyth, A., L. Lytle, N. Mishra, P. Noble, and D. Van Riper. 2007. Environment, Food, +Youth: GIS Protocols. Edited by Ann Forsyth. University of Minnesota, TREC.
   Google Scholar
• Frank, L. D., M. A. Andresen, and T. L. Schmid. 2004. “Obesity Relationships with Community Design, Physical Activity, and Time Spent in Cars.” American Journal of Preventive Medicine 27 (2): 87–96. doi:10.1016/j.amepre.2004.04.011.
   Google Scholar
• Frank, L. D., J. F. Sallis, T. L. Conway, J. E. Chapman, B. E. Saelens, and W. Bachman. 2006. “Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality.” Journal of the American Planning Association 72 (1): 75–87. doi:10.1080/01944360608976725.
   Google Scholar
• Frank, L. D., J. F. Sallis, B. E. Saelens, L. Leary, K. Cain, T. L. Conway, and P. M. Hess. 2010. “The Development of a Walkability Index: Application to the Neighborhood Quality of Life Study.” British Journal of Sports Medicine 44 (13): 924–933. doi:10.1136/bjsm.2009.058701.
   Google Scholar
• Frank, L. D., T. L. Schmid, J. F. Sallis, J. Chapman, and B. E. Saelens. 2005. “Linking Objectively Measured Physical Activity with Objectively Measured Urban Form: Findings from SMARTRAQ.” American Journal of Preventive Medicine 28 (2): 117–125. doi:10.1016/j.amepre.2004.11.001.
   Google Scholar
• GeoDa Center. 2017. Land Use Mix. Chicago, IL: The University of Chicago.
   Google Scholar
• Glanz, K., B. K. Rimer, and K. Viswanath. 2008. Health Behavior and Health Education: Theory, Research, and Practice. 4th ed. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Hajna, S., K. Dasgupta, L. Joseph, and N. A. Ross. 2014. “A Call for Caution and Transparency in the Calculation of Land Use Mix: Measurement Bias in the Estimation of Associations between Land Use Mix and Physical Activity.” Health & Place 29: 79–83. doi:10.1016/j.healthplace.2014.06.002.
   Google Scholar
• Hess, P. M., A. V. Moudon, and M. G. Logsdon. 2000. “Measuring Land Use Patterns for Transportation Research.” Transportation Research Record 1: 17–24.
   Google Scholar
• Homer, C. H., J. A. Fry, and C. A. Barnes. 2012. The National Land Cover Database. Sioux Falls, SD: U.S. Geological Survey.
   Google Scholar
• Ian, H. D., S. Cornelius, and S. Carver. 1988. An Introduction to Geographical Information Systems. New York: Addison Wesley Longman.
   Google Scholar
• Kelly-Schwartz, A. C., J. Stockard, S. Doyle, and M. Schlossberg. 2004. “Is Sprawl Unhealthy?: A Multilevel Analysis of the Relationship of Metropolitan Sprawl to the Health of Individuals.” Journal of Planning Education and Research 24: 184–196. doi:10.1177/0739456X04267713.
   Google Scholar
• Kockelman, K. M. 1996. “Travel Behavior as a Function of Accessibility, Land Use Mixing, and Land Use Balance: Evidence from the San Francisco Bay Area.” Master of City Planning, City and Regional Planning, University of California, Berkeley.
   Google Scholar
• Krizek, K. J. 2003. “Operationalizing Neighborhood Accessibility for Land Use - Travel Behavior Research and Regional Modeling.” Journal of Planning Education and Research 22: 270–287. doi:10.1177/0739456X02250315.
   Google Scholar
• Li, F., and P. A. Harmer. 2008. “Built Environment, Adiposity, and Physical Activity in Adults Aged 50–75.” American Journal of Preventive Medicine 35 (1): 38–46. doi:10.1016/j.amepre.2008.03.021.
   Google Scholar
• Manaugh, K., and T. Kreider. 2013. “What Is Mixed Use? Presenting an Interaction Method for Measuring Land Use Mix.” The Journal of Transport and Land Use 6 (1): 63–72.
   Google Scholar
• Massey, D. S., and N. A. Denton. 1988. “The Dimensions of Residential Segregation.” Social Forces 67 (2): 281–315. doi:10.1093/sf/67.2.281.
   Google Scholar
• Mobley, L. R., E. D. Root, E. A. Finkelstein, O. Khavjou, R. P. Farris, and J. C. Will. 2006. “Environment, Obesity, and Cardiovascular Disease Risk in Low-Income Women.” American Journal of Preventive Medicine 30 (4): 327–332. doi:10.1016/j.amepre.2005.12.001.
   Google Scholar
• Openshaw, S., and P. J. Taylor. 1979. “A Million or so Correlation Coefficients: Three Experiments on the Modifiable Areal Unit Problem.” Statistical Applications in the Spatial Sciences 21: 127–144.
   Google Scholar
• Ratner, K. A., and A. R. Goetz. 2013. “The Reshaping of Land Use and Urban Form in Denver through Transit-Oriented Development.” Cities 30: 31–46. doi:10.1016/j.cities.2012.08.007.
   Google Scholar
• Riva, M., P. Apparicio, L. Gauvin, and J.-M. Brodeur. 2008. “Establishing the Soundness of Administrative Spatial Units for Operationalising the Active Living Potential of Residential Environments: An Exemplar for Designing Optimal Zones.” International Journal of Health Geographics 7: 43. doi:10.1186/1476-072X-7-43.
   Google Scholar
• Rodrigue, J.-P. 2013. “Urban Land Use and Transportation.” In The Geography of Transport Systems, edited by  J.-P. Rodrigue, C. Comtois, and B. Slack. New York: Routledge.
   Google Scholar
• Rundle, A., K. M. Neckerman, L. M. Freeman, G. S. Lovasi, M. Purciel, J. Quinn, C. Richards, N. Sircar, and C. Weiss. 2009. “Neighborhood Food Environment and Walkability Predict Obesity in New York City.” Environmental Health Perspectives 117 (3): 442–447. doi:10.1289/ehp.11590.
   Google Scholar
• Rundle, A., A. Roux, and L. M. Freeman. 2007. “The Urban Built Environment and Obesity in New York City: A Multilevel Analysis.” American Journal of Health Promotion 21: 326–334. doi:10.4278/0890-1171-21.4s.326.
   Google Scholar
• Rutt, C. D., and K. J. Coleman. 2005. “Examining the Relationships among Built Environment, Physical Activity, and Body Mass Index in El Paso, TX.” Preventive Medicine 40 (6): 831–841. doi:10.1016/j.ypmed.2004.09.035.
   Google Scholar
• Sampson, R. J. 1989. “Community Structure and Crime: Testing Social-Disorganization Theory.” American Journal of Sociology 94 (4): 774–802. doi:10.1086/229068.
   Google Scholar
• Song, Y., L. Merlin, and D. A. Rodriguez. 2013. “Comparing Measures of Urban Land Use Mix.” Computers, Environment and Urban Systems 42: 1–13. doi:10.1016/j.compenvurbsys.2013.08.001.
   Google Scholar
• Song, Y., B. Popkin, and P. Gordon-Larsen. 2013. “A National-Level Analysis of Neighborhood Form Metrics.” Landscape and Urban Planning 116: 73–85. doi:10.1016/j.landurbplan.2013.04.002.
   Google Scholar
• Song, Y., and D. A. Rodriguez. 2004. “The Measurement of the Level of Mixed Land Uses: A Synthetic Approach.” Carolina Transportation Program White Paper Series. Chapel Hill, NC.
   Google Scholar
• Wickham, J. D., S. V. Stehman, L. Gass, J. Dewitz, J. A. Fry, and T. G. Wade. 2013. “Accuracy Assessment of NLCD 2006 Land Cover and Impervious Surface.” Remote Sensing of Environment 130 (March): 294–304. doi:10.1016/j.rse.2012.12.001.
   Google Scholar
• Xu, Y., and L. Wang. 2015. “GIS-based Analysis of Obesity and the Built Environment in the US.” Cartography and Geographic Information Science 42 (1): 9–21. doi:10.1080/15230406.2014.965748.
   Google Scholar
• Yamada, I., B. B. Brown, K. R. Smith, C. D. Zick, L. Kowaleski-Jones, and J. X. Fan. 2012. “Mixed Land Use and Obesity: An Empirical Comparison of Alternative Land Use Measures and Geographic Scales.” The Professional Geographer 64 (2): 157–177. doi:10.1080/00330124.2011.583592.
   Google Scholar