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TRAFFIC AND DENSITY <br />Congestion and density are often tied <br />together when examining the impacts of <br />growth —the greater the collective density of <br />an area, the greater number of cars on the <br />road. This is true, but the actual relationship <br />to congestion is quite difficult to measure. <br />The entire science of transportation plan- <br />ning constantly searches for the next best <br />predictive tool to define this relationship. But <br />if the goal is to prevent congestion, zoning <br />ordinances and their density limits are not <br />the best solutions. After all, some of the most <br />congested roadways —commercial highway <br />corridors —are notorious for being devoid of <br />residential development at any density. The <br />problem, then, is not the amount of density <br />in any given area but the design of the road <br />network. <br />Planners are often fully aware that <br />a network that funnels many small roads <br />into a few major collectors and arterials is <br />the true cause of congestion. Local densi- <br />ties are seldom a contributing factor when <br />regional traffic is diverted onto major high- <br />ways. These common networks should be <br />redesigned to provide more route options, <br />such as grid networks, rather than propose <br />limited density somewhere along the outer <br />reaches of the highway. And when a solution <br />does involve residential densities in some <br />respect, that solution is often not in limiting <br />density in each development but allowing <br />more through urbanized infill development. <br />After all, each city has a certain amount <br />of market demand for new housing. If that de- <br />mand is for 4,00o new homes in a given year, <br />but zoning requires these homes to occupy <br />no more than four units an acre, that leads to <br />i,000 acres of development, with each house <br />placed increasingly further away from desti- <br />nations. As these houses are placed further <br />away, their dependence on automobiles and <br />limited road networks becomes greater. This <br />is a prime example of how low and medium <br />density (e.g., two to six units per acre) can <br />exacerbate congestion. <br />When viewed in light of the long history <br />of sprawl development, density regulation to <br />manage traffic congestion is neither a direct, <br />effective solution for the problem or a sus- <br />tainable practice when an area experiences <br />demand for more growth. <br />A zolz study of the Arizona <br />Department of Transportation finds this <br />very condition to be the source of many <br />traffic issues today. The solution? More grid <br />streets and higher density development <br />of the sort proposed in both the Iowa City <br />development and Mission Meridian South. <br />This finding is supported by a careful analy- <br />sis of four different areas of development. <br />Each area features differing levels of devel- <br />opment density and design, and the result <br />is that the highest density areas featuring <br />the best design actually perform better at <br />mitigating congestion when compared to <br />lower density areas. <br />is often drafted to the detriment of the com- <br />munity's character. In this respect, there is a <br />fine balance between too much and too little <br />parking. The more parking that a multifamily <br />development is required to build, the larger <br />the parking lots become, creating empty <br />space along street frontages and creating an <br />"island effect" where the multifamily building <br />is often surrounded on all sides by more and <br />COMPARATIVE CHARACTERISTICS AND PERFORMANCE OF THE FOUR STUDY AREAS <br />Scottsdale Bell Road Central Avenue Tempe <br />Land use <br />Density <br />High <br />Low/Medium High Medium/High <br />Mix Good/Very good Poor <br />Fair/Good Good/Very good <br />Design Good/Very good Poor <br />Road network <br />Alternate routes High Poor <br />Good/Very good Good/Very good <br />High Very good <br />Manageable grid High <br />Traffic congestion <br />Midday <br />Moderate <br />Poor High Good/Very good <br />Very high <br />Moderate High <br />Peak Moderate <br />Severe <br />Moderate High <br />Transit <br />Service/Servicability Good/Good <br />Low/Poor <br />Very good Good/Good <br />Utilization <br />Through traffic <br />a Internal trip capture <br />Work <br />Good <br />Moderate <br />Moderate <br />Low <br />High <br />Low <br />Very good Good/Very good <br />Moderate/High Moderate/High <br />Moderate Moderate <br />Nonwork Very High <br />Average trip length <br />Work <br />Third shortest <br />Nonwork Shortest <br />Walkability <br />Walk/bike trip rates Second highest <br />High <br />Longest <br />Low Moderate/High <br />Shortest Second Shortest <br />Longest Third shortest Second Shortest <br />Lowest <br />Third highest Highest <br />Q Summary Chart from Arizona Department of Transportation <br />study "Land Use and Traffic Congestion," March 2012. <br />PARKING AND DENSITY <br />When Iowa City considered the proposal <br />for a new, high -density residential develop- <br />ment, opponents raised concerns about a <br />potential parking shortage. This impact can <br />often be very real, but the typical solution <br />more parking. Such requirements often run <br />counter to the established form of an area <br />and add to the incompatibility issue. <br />Recent publications and advances in <br />parking technology (such as demand pric- <br />ing for parking meters) indicate that better <br />Q This multifamily development faces single-family homes on the other <br />side of a highway. Poor design creates high degrees of separation <br />between the neighboring areas. <br />ZONINGPRACTICE 11.12 <br />AMERICAN PLANNING ASSOCIATION I page 6 <br />