Table 4 Static data collection list
Evaluation indicators | Evaluation basis, criteria | |
|---|---|---|
Basic information | Name | - |
Location | Baidu map API (latitude and longitude) imported into GIS system52 | |
TR | The relevance to each of the Thematic presets is taken through a preset value (Refer to Table 1 Settings) | |
Heritage value (HRV) | HV | Standardized historical significance scores, based on expert evaluation and historical document analysis53 |
AV | 0-5 scale based on Likert scales | |
SV | ||
SoV | ||
Positive factor | HQ | Historical ambience index after quantitative image analysis, combined with standardized scores after street scene image analysis15 |
LQ | Composite landscape scores, statistically calculated by averaging image analysis, user feedback and expert ratings18,54 | |
EQ | Facility density index, counting the number and type of supporting facilities per square kilometer55 | |
GQ | Marking clarity index, statistically measured by the mean value of user questionnaires and expert ratings56 | |
PD | Baidu Heat Map (Heat Zone)22 | |
DH | Heat statistics, through the weighted average of the heat of each platform for statistics57 | |
PR | Average positive review rate, aggregated and weighted from multi-platform user evaluations58 | |
IA | Accessibility score based on internal path connectivity, collected via field surveys or spatial syntax analysis19 | |
Reverse factor | TT | Travel time index calculated as weighted average of path length and assumed walking speed between attractions22 |
C | Median visitor cost, normalized from crowd-sourced and official pricing datasets across platforms | |