Dan Zou

Dan Zou
Sun Yat-sen University | SYSU · School of Geography and Planning

Master of Engineering
PhD student

About

9
Publications
1,311
Reads
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42
Citations
Introduction
I am aimed to explore how mobility and the environment impact our health through quantitative analysis.
Additional affiliations
March 2021 - August 2021
The Hong Kong Polytechnic University
Position
  • Research Assistant
Education
September 2018 - June 2020

Publications

Publications (9)
Article
Full-text available
Non-mandatory activities (e.g., shopping and leisure) are irregular in space and time, resulting in complex interactions between individuals and urban spaces. Understanding the associated factors of non-mandatory activities is vital for effective urban transport planning and management. This study uses travel survey data from Guangzhou, China, and...
Article
Full-text available
Learning from the COVID-19 pandemic is vital for future global health crises. Forecasting pandemic spread across countries in the presence of viral mutations, such as SARS-CoV-2 variant strains, remains a challenge. Previous studies indicate spatial and temporal regularities in SARS-CoV-2 variant distribution, yet limitations persist: (1) static ge...
Article
Abstract: Ecological conservation red line is an important initiative for ecological civilization construction in China. Studies and works have been conducted to delineate the ecological conservation red line using remote sensing and manual survey methods. However, the traditional ecological assessment methods ignore the impact of dynamic elements...
Article
Full-text available
The abilities to predict tourist movements are critical to many urban applications, such as travel recommendations , targeted advertising, and infrastructure planning. Despite its importance, our understanding on the movement predictability of urban tourists and visitors is still limited, partially due to difficulties in accessing large scale mobil...
Article
Full-text available
Many mobility prediction models have emerged over the past decade to predict a user’s next location through the utilisation of user trajectories. However, the performance is constrained by the quantity of user trajectory data. This research introduces a new approach by combining knowledge of individual travel behaviour and collective preferences of...
Chapter
Inferring activity types from the massive human-tracking data is of great importance for the understanding of human daily activity patterns in the cities. Researchers have investigated various methods to infer activity types automatically, however, the recognition accuracy of social activity types (such as shopping, schooling, transportation, recre...

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