Table 1 Regression analysis between speed improvement and city indicators

From: Big-data empowered traffic signal control could reduce urban carbon emission

 

Coefficient

P

BAU speed (km/h)

−1.129

<0.001

Log[road length (m)]

−3.330

0.076

Log[Population]

−2.295

0.298

Street straightness

106.770

<0.001

Log[GDP (PPP)]

2.113

0.079

Pseudo/adjusted R2

0.486

Method

OLS

  1. This table presents the result of a multivariate linear regression analysis of speed improvement (%) against baseline BAU speed, road network length, population, street straightness (ratio of straight-line distances between adjacent street nodes to street lengths)39, and GDP (PPP). Negative and positive coefficients indicate that city indicators have negative and positive impacts on congestion mitigation potential, respectively. The P-value indicates the significance of each city indicator; the smaller the value, the more significant it is. The method used for linear regression is ordinary least squares (OLS).
Back to article page