Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial–Temporal–Semantic Analysis Approach

ISPRS International Journal of Geo-Information

Xinba Li¹  Chuanrong Zhang¹  Renyi Liu²  Feng Zhang²  Zhenhong Du²  Bo Wang²  Yurong Chen²  Ninghua Chen² 

[1] Department of Geography, University of Connecticut, Storrs, CT 06269, USA;School of Earth Sciences, Zhejiang University, Hangzhou 310027, China;

关键词: urban dynamics;    spatial–temporal–semantic analytics;    urban development characteristic;    toponyms;    street names;   

DOI  :  10.3390/ijgi10050278

来源: DOAJ

【 摘 要 】

Urban land use is constantly changing via human activities. These changes are recorded by imprint data. Traditionally, urban dynamics studies focus on two-dimensional spatiotemporal analysis. Based on our best knowledge, there is no study in the literature that uses imprint data for better understanding urban dynamics. In this research, we propose a spatial–temporal–semantic triple analytical framework to better understand urban dynamics by making full use of the imprint data, toponyms. The framework includes a text classification method and geographical analysis methods to understand urban dynamics in depth. Based on the inherent temporal and spatial information, we enrich semantic information with street names to explain urban dynamics in multiple dimensions. Taking Hangzhou city as an example, we used street names to reproduce the city changes over the past century. The results obtained through analysis of street names may accurately reflect the real development process of Hangzhou. This research demonstrates that imprint data left by urban development may play a pivotal role in better understanding urban dynamics.

【 授权许可】

Unknown