Guanwei Zhao
Biographic Data
| ID | 7862299 |
|---|---|
| NAME | Guanwei Zhao |
| GIVEN NAMES | Guanwei |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO G |
| AFFILIATIONS | Guangzhou University |
| ORCID | 0000-0002-3311-9062 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Revealing the Spatio-Temporal Heterogeneity of the Association between the Built Environment and Urban Vitality in Shenzhen
Sensing urban vitality is a useful method for understanding urban development. However, the spatio-temporal characteristics of the association between the built environment and urban vitality in Shenzhen, the youngest mega-city in China, have not yet been explored. In this paper, we examined the effects of built environment indicators on urban vitality by using spatial regression models and multi-source geospatial data. The main research findings…
Revealing Taxi Interaction Network of Urban Functional Area Units in Shenzhen, China
Characterizing the taxi travel network is of fundamental importance to our understanding of urban mobility, and could provide intellectual support for urban planning, traffic congestion, and even the spread of diseases. However, the research on the interaction network between urban functional area (UFA) units are limited and worthy of notice. Therefore, this study has applied the taxi big data to construct a travel flow network for the exploratio…
Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage
Dockless bike-sharing systems have become one of the important transport methods for urban residents as they can effectively expand the metro's service area. We applied the ordinary least square (OLS) model, the geographically weighted regression (GWR) model and the multiscale geographically weighted regression (MGWR) model to capture the spatial relationship between the urban built environment and the usage of bike-sharing connected to the metro…
How Does the Urban Built Environment Affect Online Car-Hailing Ridership Intensity among Different Scales
Understanding the effect of the urban built environment on online car-hailing ridership is crucial to urban planning. However, how the effects change with the analysis scales are still noteworthy. Therefore, a multiscale exploratory study was conducted in Chengdu, China, by using the stepwise regression selection and three spatial regression models. The main findings are summarized as follows. First, as the grid size increases, the number of buil…
Marginal Effects and Spatial Variations of the Impact of the Built Environment on Taxis’ Pollutant Emissions in Chengdu, China
Understanding the impact of the urban built environment on taxis' emissions is crucial for sustainable transportation. However, the marginal effects and spatial heterogeneity of this impact is worth noting. To this end, we calculated the taxis' emissions on weekdays and weekends in Chengdu, China, and investigated the impact of the built environment on taxis' emissions by applying multi-source data and several spatial regression models. The resul…
Urban Population Distribution Mapping with Multisource Geospatial Data Based on Zonal Strategy
Mapping population distribution at fine resolutions with high accuracy is crucial to urban planning and management. This paper takes Guangzhou city as the study area, illustrates the gridded population distribution map by using machine learning methods based on zoning strategy with multisource geospatial data such as night light remote sensing data, point of interest data, land use data, and so on. The street-level accuracy evaluation results sho…
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Urban Population Distribution Mapping with Multisource Geospatial Data Based on Zonal Strategy
Mapping population distribution at fine resolutions with high accuracy is crucial to urban planning and management. This paper takes Guangzhou city as the study area, illustrates the gridded population distribution map by using machine learning methods based on zoning strategy with multisource geospatial data such as night light remote sensing data, point of interest data, land use data, and so on. The street-level accuracy evaluation results sho…
Revealing Taxi Interaction Network of Urban Functional Area Units in Shenzhen, China
Characterizing the taxi travel network is of fundamental importance to our understanding of urban mobility, and could provide intellectual support for urban planning, traffic congestion, and even the spread of diseases. However, the research on the interaction network between urban functional area (UFA) units are limited and worthy of notice. Therefore, this study has applied the taxi big data to construct a travel flow network for the exploratio…
Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage
Dockless bike-sharing systems have become one of the important transport methods for urban residents as they can effectively expand the metro's service area. We applied the ordinary least square (OLS) model, the geographically weighted regression (GWR) model and the multiscale geographically weighted regression (MGWR) model to capture the spatial relationship between the urban built environment and the usage of bike-sharing connected to the metro…
How Does the Urban Built Environment Affect Online Car-Hailing Ridership Intensity among Different Scales
Understanding the effect of the urban built environment on online car-hailing ridership is crucial to urban planning. However, how the effects change with the analysis scales are still noteworthy. Therefore, a multiscale exploratory study was conducted in Chengdu, China, by using the stepwise regression selection and three spatial regression models. The main findings are summarized as follows. First, as the grid size increases, the number of buil…
Marginal Effects and Spatial Variations of the Impact of the Built Environment on Taxis’ Pollutant Emissions in Chengdu, China
Understanding the impact of the urban built environment on taxis' emissions is crucial for sustainable transportation. However, the marginal effects and spatial heterogeneity of this impact is worth noting. To this end, we calculated the taxis' emissions on weekdays and weekends in Chengdu, China, and investigated the impact of the built environment on taxis' emissions by applying multi-source data and several spatial regression models. The resul…
Revealing the Spatio-Temporal Heterogeneity of the Association between the Built Environment and Urban Vitality in Shenzhen
Sensing urban vitality is a useful method for understanding urban development. However, the spatio-temporal characteristics of the association between the built environment and urban vitality in Shenzhen, the youngest mega-city in China, have not yet been explored. In this paper, we examined the effects of built environment indicators on urban vitality by using spatial regression models and multi-source geospatial data. The main research findings…
Engineering (6 works) · Geography (6 works) · Human Mobility and Location-Based Analysis (5 works) · Transport engineering (5 works) · Urban Transport and Accessibility (5 works) · Built environment (4 works) · Civil engineering (4 works) · Cartography (3 works) · China (3 works) · Computer Science (3 works)