Suitability of arborbike station

Page 1

Suitability of Potential ArborBike Station

Potential cyclist density (20%)

Background

Problem & research

Variable of suitability

Data processing

In summer 2014, Ann Arbor launched a new bike share program ArborBike. In the initial phase, there are 14 ArborBike stations located in downtown Ann Arbor and the campus of University of Michigan. This program is highly spoken of by many people, including residents, students and university staffs. However, there is still space to improve the program, one of which would be installing more stations.

The major problems would be: How do we determine what locations are suitable for new ArborBike stations? What qualities do those locations need to possess?

Upon research, we defined 5 categories and 7 variables to quantify the suitability of potential ArborBike stations: 1 Destination density: to find out where most people frequently go. 2 Crime distribution: cyclists always prefer safer places to ride. 3 Bus stop coverage: proximity to public transit means convenience to transfer. 4 Potential cyclist density: to locate potential focus group. 5 Bikeability: 5.1 Bike route density: the denser the bike routes, the more comfortable to ride. 5.2 Bike route separation: dedicated bike routes increase safety and comfort. 5.3 Topography: the slope of road surface affects safety and comfort.

We collected and input the origianl data which is shown in the smaller maps. After that, we used different GIS spatial analysis tools to process the data which is shown in the larger maps. In order to make comparison easier, we reclassified the values in each map into 7 intervals which could be seen in the legends.

Given this context, we’d like to study the suitability of potential ArborBike stations in a quantitative way to help improve people’s experience as well as further promote the program.

We read a lot of papers, reports and surveys pertaining to this topic. We found that there are many factors that people take into consideration when choosing a location for bike station. Among those factors, the keywords with the highest frequency are “bikeability”, “pubilc transit”, “safety”, “destination” and “distribution of potential users”.

We considered that the 5 categories are of the same importance, therefore, we assigned equal weights (20%) to each category. Finally, we combined the 7 variables and came up with the final map identifying the suitability of potential ArborBike stations.

Composition After the spatial analyses done previously, we came up with the composition map, from which we could draw some conclusions about the suitable locations for potential ArborBike stations. 1 Downtown Ann Arbor still needs more stations since all kinds of destinations are highly concentrated here.

(People)

42 - 106 107 - 139 140 - 173 174 - 198 199 - 257 258 - 347 348 - 553

Data Source: City of Ann Arbor ESRI Social explorer U.S. census

2 About 1 mile south to downtown, there is a great need of bike stations because it is where the south campus and the stadium are located.

(People per mi²) 233 - 300 301 - 600 601 - 900 901 - 1200 1201 - 1500 1501 - 1800 >= 1801

miles 3 3miles

3 The northeast and the southeast of Ann Arbor are also suitable locations probably because a good number of cyclists live in those places.

20% Destination density 20% Crime distribution

Suitability Low 1 2 3

20% Bus stop coverage

20% Bikeability

Destination density (20%)

Destination

Major street

6.7% Bike route separation

Data Source: City of Ann Arbor ESRI Social explorer U.S. census Crime mapping

Bus stop coverage (20%)

Crime location

Bike route density (6.7%)

Existing bike route Planned bike route Shared-use path Marginal Sidewalk Unpaved connector

Bus stop

Distance (foot)

Data Source: City of Ann Arbor ESRI

0 - 10 11 - 30 31 - 60 61 - 100 101 -150 151 - 240 241 - 360

miles 3 3miles

Data Source: City of Ann Arbor ESRI Crime mapping U.S. census

0 1-7 8 - 16 17 - 25 26 - 43 44 - 100 >= 101

miles 3 3miles

Ann Arbor

City boundary

6.7% Topography

Crime distribution (20%)

6 High

River & waterbody

Composition

6.7% Bike route density 3 miles

5

Existing ArborBike station

20% Potential cyclist distribution

Existing ArborBike station

4

Data Source: City of Ann Arbor ESRI

0 - 440 441 - 880 881 - 1320 1321 - 1760 1761 - 2200 2201 - 2640 2641 - 4000

miles 3 3miles

Data Source: City of Ann Arbor ESRI

3 miles

Bike route separation (6.7%)

Topography (6.7%)

Existing bike route Planned bike route

0-3 4-6 7-9 10 - 12 13 - 15 16 - 18 19 - 23

Elevation (foot) 326

Percentage rise (%) 227

miles 3 3miles

Data Source: City of Ann Arbor ESRI

Yes No

miles 3 3miles

Data Source: City of Ann Arbor ESRI

0-1 2 3-4 5-7 8 - 10 11 - 15 16 - 45

miles 3 3miles


Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.