Spatial quality measurement of commercial streets in old cities of medium-sized cities in China

Figures & data

Figure 1. Selection of typical commercial streets.

Table 1. Selection of typical commercial streets.

The name of the street	Street location	Street length	Road grade
Liberation Road	Liberated area, Jiaozuo	429 m	Trunk road
Democracy Road	Liberated area, Jiaozuo	348 m	Trunk road
Xinhua Street	Liberated area, Jiaozuo	346 m	Secondary trunk road
Peace Street	Liberated area, Jiaozuo	442 m	Secondary trunk road
Kam Cheung Street	Shanyang area, Jiaozuo	642 m	Branch
Modern Street	Liberated area, Jiaozuo	618 m	Branch
Barry Street	Liberated area, Jiaozuo	244 m	Group road
Youth Street	Liberated area, Jiaozuo	347 m	Group road

Figure 2. Methodology flow chart.

Figure 3. Technology roadmap.

Table 2. Classification of POI data in Gaode Maps.

Form	Quantities	Form	Quantities
Catering services	306	Business residential	20
Shopping services	442	Government agencies and social organizations	21
Life services	254	Science, education, and cultural services	78
Sports and leisure services	44	Transportation facilities services	25
Health care services	60	Financial and insurance services	28
Accommodation services	13	Company	25
Scenic spots	2

Figure 4. Street view image data processing.

Table 3. Index quantization table.

Indicator name	Quantitative model
Intensity of crowd activity	Average Baidu map average heat value per 100 m street
Type of crowd activity	Use counting methods to calculate the number of types of activities of pedestrians in the street
Intersection density	Number of intersections within a street/length of the street
Bus stop density	Number of transit stops within a street’s 15-minute living area/street length
Functional density	Number of POIs in 50 m buffer of street/street length
Functional mixture	Calculating the functional mix of streets using information entropy
Street aspect ratio	Average street width/average height of buildings along the street
Interface continuity	The continuous length of the street façade along both sides/street length
Spatial green visibility	Stree/Simage (S feature indicates the pixel area of the feature of that category in the photograph)
Sky visibility	Ssky/(Simage -Stree)

Figure 5. Crowd activity indications.

Figure 6. Quantitative map of the external representation.

Figure 7. Quantitative map of objective material spatial indicators.

Figure 8. Pearson’s correlation coefficient statistics.

Figure 9. Distribution of Pearson’s correlation coefficient.

Table 4. The correlation between external representation and objective material space.

		Intersection density	Bus stop density	Functional density	Functional mix	Street aspect ratio	Interface continuity	Sky visibility	Spatial green visibility
External representation	Pearson Correlation	.479	.946**	.832*	.962**	.311	.723*	.559	.831*

*Significant correlation at the 0.05 level (two-tailed).

**Significant correlation at the 0.01 level (two-tailed).