Table 2 Quantitative approach to street environment indicators
Primary Index | Secondary Index | Quantitative Approach | |
|---|---|---|---|
Density | Density of life-type stores along the street (D1a) | (Number of life-type stores along the street/Average length of sidewalk on both sides) × 100 | |
Density of production-type street vendors (D1b) | (Number of production-type street vendors/Average length of sidewalk on both sides) × 100 | ||
Density of production-type stores along the street (D1c) | (Number of production-type stores along the street/Average length of sidewalk on both sides) × 100 | ||
Traffic density (D1d) | Streets are scored on a 5-point scale from very dense to very sparse based on the number of vehicles on the carriageway | ||
Parking density (D1e) | (Total number of parking on the left side/Length of sidewalk+Total number of parking on the right side/Length of sidewalk) × 100 | ||
Greening density (D1f) | Vertical projection of trees, shrubs and ground cover/total area of stage walking space | ||
Diversity | Diversity of commercial businesses along the street (D2) | \(Entropy=-\sum_{i=1}^n{P}_i\cdot \ln {P}_i/\ln n\) ‘n’ denotes the number of business types involved in the study and ‘Pi’ denotes the proportion of size accounted for by the ith business type (the types of commercial space that are closely related to the daily travel of residents include:life-type stores along the street、traffic-type street vendors and traffic-type stores along the street) | |
Design | Average width of carriageway (D3a) | Average width of carriageway = Total area of carriageway/Total length of carriageway | |
Number of road intersections(D3b) | Access via OSM Open Map | ||
Side interface height (D3c) | Acquired through Baidu Street View data | ||
Spatial organization characteristics (D3d-D3l) | Vehicle networks | Analysis of the axis model based on spatial syntax and includes several important indicators such as control value, connectivity value, choice, total integration and total depth value. | |
Pedestrian networks | |||
Destination accessibility | Plant accessibility (DA1) | \({L}_i=\frac{1}{n}\sum_{j=1}^n\mathit{\operatorname{Min}}\left({G}_j\right)\) Accessible distance based on the road network: the minimum distance method calculates the minimum distance to the destination, where‘L i’is the reachable distance to amenities on street i,‘j’is the jth road intersection on street i, ‘n’is the total number of road intersections on street i, and Min (Gj) is the shortest distance from the jth intersection to a factory, neighborhood, or green space | |
Community accessibility (DA2) | |||
Green space accessibility (DA3) | |||
Distance to transit | Number of bus stations (DTT1) | Acquired from POI data | |
Number of bus stops running routes (DTT2) | |||