The Analysis of Bike Infrastructure Suitability in Ypsilanti

Ypsilanti's most recent ordinance tried to provide a more flexible life forthe residents as well as preserving the unique character and appearance ofthe city’s neighborhoods. We try to find some specific scope to constituteto the more convenience and healthy way for the residents. We noticedthat Ypsilanti has already got some incomplete bike lanes and bike parks inseveral blocks, so we want to analyze the demand degrees of differentareas in order to satisfy the need of bike parking lots and improve the bikelane system in Ypsilanti.

Conclusions

Introduction

Bibliographies

Methodology

The bike parks gathered in the downtown. And the city does not have integrate bike system.

Using the network analysis to find the junctions of each road, and these can be the potential destination of the bike lanes.

Buffering the potential destination within 350M.

Reclassifying the different values of population density. The University area has highest value.

Reclassifying the destinations, the neighborhoods and university have high value of destinations.

Calculating the potential destinations within the circle with diameter of 350M.

This map shows the population distribution of the city. The University has highest population density.

Final Bike Infrastructure Suitability

Xuewei Chen, Xiaoran Dang

Garcia-Palomares, J. C., Gurierrez, J., & Latorre, M. (2012). Optimizing thelocation of stations in bike-sharing programs: A GIS approach. AppliedGeography.

San Francisco Department of Public Health. (2009). Bicycle EnvironmentalQuality Index (BEQI). Program on Health, Equity and SustainabilityEnvironmental Health Section.

United States Census Bureau. (2014). State & County QuickFacts: Ypsilanti(city), Michigan. Retrieved from USA QuickFacts:http://quickfacts.census.gov/qfd/states/26/2689140.html

Washtenaw County GIS.http://www.ewashtenaw.org/government/departments/gis

Ypsilanti Open Data.http://cityofypsilanti.com/Government/Departments/PlanningDepartment/opendata

Existing Bike Lanes and Bike Parks

Population Density

Potential Destination Buffer Destination

Population Density Reclassify

Destination number within 350M Destination Reclassify

This study uses raster data to perform a suitability analysis on the city ofYpsilanti.

Population and land use data obtained from U.S. Census Bureau. Geographicdata such as water bodies, parcels, roads and parks obtained from theMichigan Geographic Data Library. Existing bike lanes and bike parks dataobtained from the Open Data in website of City of Ypsilanti, WashtenawCounty, MI.

Created the new Feature Dataset under the geodatabase.

Created a new Network Dataset for the network analyst, and take thejunctions as the potential destinations of bike lanes system.

Buffer each destination.

Set up the Point Density tool to calculate the number of point within thecircle which has the diameter of 350M.

Set up the Raster tool to calculate the population density.

Set up the Reclassify tool to reclassify the hot spots raster and thepopulation density raster.

Set up the Raster Calculator tool to combine the two reclassify values for thespatial analyst.

The Final Map shows the different demand degree of bike parking system in different cityneighborhoods. It is created by combining the raster surfaces of the reclassification results of boththe destination number and the population density. According to the map, it is very clearly to showthat the areas with highest value is the university zone. Therefore, it means that there has greatestdemand of bike parks. The downtown and the neighborhoods areas both have large demand.

The Potential Lanes Map show one of the possibilities of the city’s bike lanes. For the higher valueareas, the bike parks will be constructed on each intersection point of the streets. For the lowervalue areas, the bike parks will be constructed on every two points.

This is a challenge to set up the spatial analyst based on few information. For accurate analysis, moredata, such as traffic flows and road width, need to be collected.

Potential Bike Lanes