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Ye Hong

Ye Hong
ETH Zurich | ETH Zürich · Department of Civil, Environmental and Geomatic Engineering

Master of Engineering

About

19
Publications
10,821
Reads
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455
Citations
Additional affiliations
April 2019 - present
ETH Zurich
Position
  • Research Assistant
July 2017 - September 2017
Chinese Academy of Sciences
Position
  • Intern
Education
October 2020 - June 2024
ETH Zurich
Field of study
  • GIS

Publications

Publications (19)
Preprint
Full-text available
Over the past decade, scientific studies have used the growing availability of large tracking datasets to enhance our understanding of human mobility behavior. However, so far data processing pipelines for the varying data collection methods are not standardized and consequently limit the reproducibility, comparability, and transferability of metho...
Article
The spatial distribution of buildings is one of the key factors influencing the local environment within a city. The quantitative measurement of building distribution can provide critical information for exploring local climate patterns in urban areas. Previous studies mainly focused on the two-dimensional spatial distribution of buildings and igno...
Conference Paper
Full-text available
The emergence of passively and continuously recorded movement data offers new opportunities to study the long-term change of individual travel behaviour from data-driven perspectives. This study proposes a clustering-based framework to identify travel behaviour patterns and detect potential change periods on the individual level. First, we extract...
Article
The distribution of human perceptions in urban area was obtained. • This study first focuses on the spatial homogeneity of human perceptions. • A method is proposed to discover the homogeneous geographic domain of human perceptions. • This study explored the role of urban function in shaping human perceptions. Human perception of place refers to re...
Article
In China, the illegal adoption of missing persons and especially of missing children is a major public safety issue that affects social and family stability. Recent work has established a trafficking information network developed from a volunteer-managed database of missing persons that identifies and locates node cities and critical paths of illeg...
Article
Full-text available
The spatial distribution pattern of jobs and housing plays a vital role in urban planning and traffic construction. However, obtaining the jobs-housing distribution at a fine scale (e.g., the perspective of individual jobs-housing attribute) presents difficulties due to a lack of social media data and useful models. With user data acquired from a l...
Article
The formulation of mixed urban land uses is not only intended to find the ideal scenario of land use but also regarded as a way toward sustainable urban development. We propose a geo-semantic mining approach Traj2Vec to quantify the trajectories of residents as high-dimensional semantic vectors. Then, a random forest (RF) method is used to model th...
Article
Full-text available
The development of geospatial big data makes it possible to study traffic-congestion issues. In particular floating car data (FCD) is very suitable for it because FCD can help predict traffic-congestion bottlenecks and provide corresponding solutions to address traffic problems. Previous studies have discussed the impacts of rainfall on road speeds...
Preprint
Full-text available
The goal of the IARAI competition traffic4cast was to predict the city-wide traffic status within a 15-minute time window, based on information from the previous hour. The traffic status was given as multi-channel images (one pixel roughly corresponds to 100x100 meters), where one channel indicated the traffic volume, another one the average speed...
Article
The rapid development of urban retail companies brings new opportunities to the Chinese economy. Due to the spatiotemporal heterogeneity of different cities, selecting a business location in a new area has become a challenge. The application of multi-source geospatial data makes it possible to describe human activities and urban functional zones at...
Article
Full-text available
An in-depth analysis of the urban road network structure plays an essential role in understanding the distribution of urban functional area. To concentrate topologically densely connected road segments, communities of urban roads provide a new perspective to study the structure of the network. In this study, based on OpenStreetMap (OSM) roads and p...
Article
Along with the gradually accelerated urbanization process, simulating and predicting the future pattern of the city is of great importance to the prediction and prevention of some environmental, economic and urban issues. Previous studies have generally integrated traditional machine learning with cellular automaton (CA) models to simulate urban de...
Article
According to an urban planning directive issued by the Chinese Central Government in early 2016, the Community Opening Policy will be put on the agenda to ameliorate transportation networks, which has aroused much attention regarding the coming changes in traffic, especially in road network structures. Nevertheless, few studies were concerned with...
Article
Full-text available
The accurate mapping of urban housing prices at a fine scale is essential to policy making and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies mainly focus on housing price analysis at a macro scale, without fine-scale study due to a lack of available data and effective...
Poster
Full-text available
According to an urban planning directive issued by Chinese central government in early 2016, “Communities Opening” policy would be put on agenda to ameliorate transportation network, which arouse much attention on the coming change in traffic, especially in the road network structure. Nevertheless, few studies were concerned on this direct and indi...
Article
Cellular automata (CA) have been widely used to simulate complex urban development processes. Previous studies indicated that vector-based cellular automata (VCA) could be applied to simulate urban land-use changes at a realistic land parcel level. Because of the complexity of VCA, however, these studies were conducted at small scales or did not ad...
Article
Urban land use information plays an important role in urban management, government policy-making and population activity monitoring. However, the accurate classification of urban functional zones is challenging due to the complexity of urban systems. Many studies have focused on urban land use classification by considering features that are extract...

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