Table 4 The results of the best fit multinomial logit model.

From: Understanding spatial inequalities and stratification in transportation accessibility to social infrastructures in South Korea: multi-dimensional planning insights

Variables

Middle

(Reference. High)

Low

(Reference. High)

Parameter estimates

Standard errors

Parameter estimates

Standard errors

Intercept

5.812***

1.590

7.247***

2.090

Urban density

Population density

 − 0.408***

0.103

 − 0.549**

0.192

Employment density

 − 0.369***

0.094

 − 0.285*

0.124

Working group density

 − 0.248

0.158

 − 1.094***

0.244

Elderly density

0.360*

0.197

0.994***

0.291

Urban design

Land use intensity

 − 0.220*

0.119

 − 0.501**

0.192

Compactness

 − 0.360**

0.132

 − 0.439*

0.213

Urban dynamics

Population change

 − 0.279*

0.126

 − 0.132

0.181

Business change

 − 0.347***

0.094

 − 0.265*

0.107

Travel behavior

Total AADT

 − 0.469*

0.228

 − 0.191

0.290

Bus AADT

 − 0.108**

0.231

 − 0.437**

0.296

Economics

Housing price

 − 0.168*

0.100

 − 0.278*

0.132

Model statistics

  

Observations

4808

   

McFadden R2

0.468

   

Log-Likelihood

 − 1862.8

   
  1. Base alternative = High.
  2. *Significant at p < 0.10; **Significant at p < 0.05;***Significant at p < 0.01.
Back to article page