Fig 1.
Schematic Diagram of Survey Points and Study Area.
Note: This figure was produced by the author using ArcGIS.
Fig 2.
Foundational Model of Travel Behaviour.
Note: A the Theory of Planned Behavior; b the Technology Acceptance Model. This figure was produced by the author using Visio.
Table 1.
Commuter willingness survey questionnaire for the Loop Line Railway.
Table 2.
Descriptive characteristics of latent variable scores.
Table 3.
Descriptive statistics of built environment indicators.
Fig 3.
Importance of Built Environment Factors and SHAP Values.
Note: a Variable Feature Importance; b SHAP values. This figure was produced by the author using python.
Fig 4.
ICE Model of Commuting Willingness for Loop Line Railway Based on Key Built Environment Factors.
Note: a Population Density(10,000 people/km2); b Distance to Nearest Bus Stop(km); c Road Network Density(km/km2); d Distance to City Center(km). This figure was produced by the author using python.
Fig 5.
Spatial Distribution of Significant Threshold Effects for Key Built Environment Factors.
Note: a Population density (10,000 persons/km²); b Distance to the nearest bus stop (km); c Road network density (km/km²); d Distance to city center (km). This figure was produced by the author using ArcGIS.
Fig 6.
Spatial distribution of the non-linear effect of population density on commuting willingness for the Loop Line Railway.
This figure was produced by the author using ArcGIS.
Fig 7.
Spatial distribution of the non-linear effect of nearest bus stop distance on commuting willingness for the Loop Line Railway.
This figure was produced by the author using ArcGIS.
Fig 8.
Spatial distribution of the non-linear effect of road network density on commuting willingness for the Loop Line Railway.
This figure was produced by the author using ArcGIS.
Fig 9.
Spatial distribution of the non-linear effect of distance from city center on commuting willingness for the Loop Line Railway.
This figure was produced by the author using ArcGIS.