Abstract
In this paper we describe a methodology that considers the combined effects of activity centers, bicycle facility conditions, and population characteristics in evaluating the need for bicycle facilities and present a spatial regression model. Spatial analyses were performed using ARC/INFO based on information on land use, road conditions, and populations in the metropolitan Dade County. Two indices were produced for each census tract: the bicycle facility availability index that indicates service level of existing roads for bicycle travel, and an activity center accessibility index that reflects the accessibility of activity centers to its surrounding populations by bicycles. The impact of these indices in combination with demographic factors on bicycle trip production is assessed. The methodology may be applied to planning for bicycle facilities and prioritizing bicycle facility improvement projects.
| Original language | English (US) |
|---|---|
| Title of host publication | Computing in Civil Engineering (New York) |
| Publisher | ASCE |
| Pages | 248-255 |
| Number of pages | 8 |
| State | Published - 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 4th Congress on Computing in Civil Engineering - Philadelphia, PA, USA Duration: Jun 16 1997 → Jun 18 1997 |
Other
| Other | Proceedings of the 1997 4th Congress on Computing in Civil Engineering |
|---|---|
| City | Philadelphia, PA, USA |
| Period | 6/16/97 → 6/18/97 |
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ASJC Scopus subject areas
- Civil and Structural Engineering
- Computer Science Applications
Cite this
Using GIS for bicycle planning. / Zhao, Ming; Zhao, Fang.
Computing in Civil Engineering (New York). ASCE, 1997. p. 248-255.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Using GIS for bicycle planning
AU - Zhao, Ming
AU - Zhao, Fang
PY - 1997
Y1 - 1997
N2 - In this paper we describe a methodology that considers the combined effects of activity centers, bicycle facility conditions, and population characteristics in evaluating the need for bicycle facilities and present a spatial regression model. Spatial analyses were performed using ARC/INFO based on information on land use, road conditions, and populations in the metropolitan Dade County. Two indices were produced for each census tract: the bicycle facility availability index that indicates service level of existing roads for bicycle travel, and an activity center accessibility index that reflects the accessibility of activity centers to its surrounding populations by bicycles. The impact of these indices in combination with demographic factors on bicycle trip production is assessed. The methodology may be applied to planning for bicycle facilities and prioritizing bicycle facility improvement projects.
AB - In this paper we describe a methodology that considers the combined effects of activity centers, bicycle facility conditions, and population characteristics in evaluating the need for bicycle facilities and present a spatial regression model. Spatial analyses were performed using ARC/INFO based on information on land use, road conditions, and populations in the metropolitan Dade County. Two indices were produced for each census tract: the bicycle facility availability index that indicates service level of existing roads for bicycle travel, and an activity center accessibility index that reflects the accessibility of activity centers to its surrounding populations by bicycles. The impact of these indices in combination with demographic factors on bicycle trip production is assessed. The methodology may be applied to planning for bicycle facilities and prioritizing bicycle facility improvement projects.
UR - http://www.scopus.com/inward/record.url?scp=0030644873&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030644873&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0030644873
SP - 248
EP - 255
BT - Computing in Civil Engineering (New York)
PB - ASCE
ER -