Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds
Chuan Ding,
Xinyu Cao
, Chao Liu
Research output
:
Contribution to journal
›
Article
›
peer-review
157
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Business & Economics
Decision Tree
100%
Built Environment
75%
Gradient
69%
Boosting
65%
Land Use Planning
21%
Threshold Effects
19%
Nonlinear Effects
19%
Bus
16%
Land Use
16%
Predictive Power
16%
Metropolitan Areas
15%
Ownership
14%
Demographics
13%
Car
13%
Planning
12%
Factors
5%
Earth & Environmental Sciences
built environment
70%
decision
40%
station
36%
car ownership
15%
bus
11%
land use planning
11%
metropolitan area
10%
land use
7%
services
6%
planning
6%
effect
4%
Engineering & Materials Science
Land use
76%
Decision trees
61%
Planning
40%
Social Sciences
Land use planning
20%
land use
15%
agglomeration area
14%
planning
9%