Litcius/Paper detail

Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China

Yun-Hao Dong, Fang‐Le Peng, Zong-Hui Bao, Yong-Kang Qiao

2021Sustainable Cities and Society38 citationsDOI

Topics & Concepts

Spillover effectLand useKernel density estimationIdentification (biology)MegacitySpatial analysisDistribution (mathematics)Transport engineeringDriving factorsChinaUrban planningSustainabilitySustainable developmentGeographyComputer scienceBusinessCivil engineeringEngineeringMathematicsStatisticsEcologyRemote sensingEconomicsBiologyEstimatorArchaeologyMathematical analysisMicroeconomicsUnderground infrastructure and sustainabilityUrban Stormwater Management SolutionsSmart Parking Systems Research
Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China | Litcius