@misc{9240606,
  abstract     = {{Shared micromobility has been recognized as a promising contributor to sustainable urban transportation systems. Owing to their convenience and efficiency, shared e-scooters have gained widespread adoption globally and emerged as a rapidly growing mobility option. Understanding the relationship between subjective human perception of urban landscape and e-scooter usage intensity is crucial, as it could help planners identify street segments where perceptual improvements could promote e-scooter usage. Previous studies have focused on the impacts of socio-demographic and built-environment factors on e-scooter usage, while the role of subjective perceptual factors remains underexplored. This study investigates how urban perception from six dimensions (i.e.: aesthetic, boringness, depression, safety, vitality, and wealth) influences e-scooter usage intensity in Lund. Utilizing the MIT Place Pulse 2.0 voting dataset and Google Street View imagery from Lund, a deep CNN model (i.e.: ResNet50) was trained to predict urban perception scores along the cycling road. The resulting spatial distribution map reveals that the city center is perceived more positively, especially for boringness and vitality, whereas negative perceptions dominate in suburban areas. Strong positive global autocorrelation and varying degrees of local spatial dependence are detected across Lund, which justifies the spatial heterogeneity analysis. While OLS provides a global linear baseline and GWR captures local linear relationships, GWRF extends the analysis by integrating additional predictors, including POI-related built-environment factors. The OLS model detects multicollinearity between the six perceptual factors, and spatial non-stationarity justifies the usage of further analyses. The GWR results suggest that areas with higher e-scooter ridership tend to be perceived more positively, though the instability of local models warrants cautious interpretation. GWRF together with SHAP analysis further reveals that e-scooter usage is primarily associated with accessibility to urban facilities and potential travel demand, while perceived boringness and vitality play a secondary yet notable role. In light of the findings, operators should position shared e-scooters in areas that not only exhibit high demand but also feature livelier and more engaging urban environments. Lund municipality could invest in streetscape improvements, particularly in areas with low perceptual scores but high accessibility and population density, potentially unlocking shared e-scooter demand.}},
  author       = {{Zong, Yue}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Student thesis series INES}},
  title        = {{Modelling human perception of urban landscape and its spatial association with shared e-scooter usage in Lund}},
  year         = {{2026}},
}