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dc.contributorFaculty of Construction and Environmenten_US
dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributor.advisorShi, Wen-zhong (LSGI)-
dc.creatorTong, Chengzhuo-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/10552-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleDeriving PM2.5 distribution on walkable roads in the high-density city with low-cost mobile sensorsen_US
dcterms.abstractThe PM2.5 pollution problem has become increasingly serious in high-density city Hong Kong, especially in the walking process. However, the current PM2.5 monitoring network can only provide PM2.5 pollution information of fixed sites, not providing PM2.5 distribution on walkable roads. As a result, residents cannot intuitively understand PM2.5 pollution during their walking, and they are less likely to choose a healthier walking path with less pollution. Therefore, this thesis estimates PM2.5 distribution in the microscale walkable environment of high-density Hong Kong by low-cost mobile measuring instruments. Firstly, the accuracy and precision of mobile measuring instruments have been tested in the study area. Then, PM2.5 differences on sidewalks, pedestrian bridges, and footpaths in different time periods have been further analyzed. Furthermore, LUR models have been established to estimate PM2.5 concentration on sidewalks, pedestrian bridges, and footpaths. In this process, new urban environmental factors such as SVF (Sky View Factor), GVI (Green View index) and IBI (Index-based Built-up Index) have been introduced as independent variables of LUR models. After analysis and validation, these models have high precision and good performance (adjusted R² was distributed in the range of 0.5 to 0.8). Based on these models, PM2.5 distribution maps at 20m spatial resolution have been obtained. Finally, these PM2.5 distribution maps have been used to develop an app that can provide healthy walking paths with less PM2.5 pollution. In this thesis, we hope to fill the gap in the field of microscale PM2.5 distribution research in a high-density urban walking environment, providing a reference for such researches. Then, the feasibility of low-cost mobile measured data in PM2.5 LUR modeling will be explored. Most importantly, we hope to provide healthier options for people's walking in Hong Kong to improve their healthy travel and provide a reference for Hong Kong Government's walkable city planning.en_US
dcterms.extent61 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2019en_US
dcterms.educationalLevelM.Sc.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHSoil erosion -- China -- Ürümqien_US
dcterms.LCSHLand degradation -- China -- Ürümqien_US
dcterms.LCSHRemote sensingen_US
dcterms.LCSHGeographic information systemsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/10552