Measuring urban development intensity based on the integration of multi-source spatial data

Wenze, 岳文泽 Yue; Jiamin, 章佳民 Zhang; Yong, 刘勇 Liu; Wei, 张玮 Zhang

doi:10.5846/stxb201810232296

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Not only can we uncover the relationship between the two to provide better decision-making and suggestions for the survival and development of human society; we can also, under the national urban development strategy and as a matter urgency, provide important scientific basis for the construction of the urban ecological environment. In comparison to traditional data gathering methods, Internet multi-source data activities can assist cities with more complicated analysis and evaluation in a variety of ways [14,15]. Cell phone signaling data, for example, can be used to track the temporal and spatial distribution features of a population in real time [16].…”

Section: Conflict Between Resources Environment and Economic Developmentmentioning

confidence: 99%

Evaluation of Sustainable Development of the Urban Ecological Environment and Its Coupling Relationship with Human Activities Based on Multi-Source Data

et al. 2023

View full text Add to dashboard Cite

Combining the travel modes of human activities, fully mining multi-source data, and analyzing the relationship between the urban ecological environment and human activities are important topics in urban ecological environment planning. Human activity indicators were constructed based on the data of POI points, OSM road network, and residential areas. Machine learning models such as support vector regression machine, extreme gradient boosting regression, polynomial regression, and random forest regression were combined with remote sensing images to construct an urban ecological environment indicator system. These models were used to conduct regression analysis of urban ecological environment indicators and human activity indicators in Chengdu, China. The research shows that the three indicators of human activities all show a trend of increasing in the center and gradually decreasing in the surrounding areas, while the sustainable urban ecological environment indicators show the opposite trend. On the relationship between urban ecological environment and human activities, XGB has the best effect; the correlation between the street vitality index and the urban function mixing index and the sustainable urban ecological environment is stronger, and the correlation between the walkability measure index of the residential area and the sustainable urban ecological environment is even worse.

show abstract

Section: Conflict Between Resources Environment and Economic Developmentmentioning

confidence: 99%

Evaluation of Sustainable Development of the Urban Ecological Environment and Its Coupling Relationship with Human Activities Based on Multi-Source Data

et al. 2023

View full text Add to dashboard Cite

show abstract

A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data

YU,

WANG,

SONG

et al. 2024

gyjz

View full text Add to dashboard Cite

Measuring urban development intensity based on the integration of multi-source spatial data

Cited by 2 publications

References 0 publications

Evaluation of Sustainable Development of the Urban Ecological Environment and Its Coupling Relationship with Human Activities Based on Multi-Source Data

Evaluation of Sustainable Development of the Urban Ecological Environment and Its Coupling Relationship with Human Activities Based on Multi-Source Data

A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data

Contact Info

Product

Resources

About