The Influence of Built Environment onWalking Behavior: Measurement Issues, Theoretical Considerations, Modeling Methodologies and Chinese Empirical Studies - Space-Time Integration in Geography and GIScience - page 67

Zhou and
Ya n ( 2006 )
Guangzhou

1,428 individuals
from 827
households in 8
“street blocks”

CS, O & P House types and locations

(same as aforementioned),
population density and
service facilities

Walking is
included in
commuting
behavior

R&N Correlation

statistics, GIS

Residents in the city center
area have shorter commute
times, and more walking and
bicycling may be adopted.
Perception is collected
roughly but not employed in
travel behavior analysis

Ya n g J i a n g
et al. ( 2012 )
Jinan

1,233 user
surveys at 19 bus
rapid transit
(BRT) stations
along three BRT
corridors

CS, O & P (1) BRT station context :

Terminal, transfer or typical;
(2) Corridor types :Arterial
edge, integrated boulevard,
below expressway

Distance
people will
walk to access
the BRT

N Ordinary least

squares
regression

People would walk farther to
BRT stations when the
walking environment has
certain features (median
transit-way station location,
shaded corridors, busy and
interesting)

CS cross-sectional design, LD longitudinal design, O objective, P perceived, N neighborhood, R regional