Publications

23.03.2020

data-02

Authors

Stefan Dietze

Katarina Boland

Xiaofei Zhu

 

Published By

Elsevier Neurocomputing 2020

2020

Multi-View Image Clustering Based on Sparse Coding and Manifold Consensus

 

Efficient methods for obtaining, interpreting and analysing data are of crucial importance to EAST-Cities, particularly in order to integrate and link data with the Joint Data Model (JDM). Initial methods for mining of structured dataset metadata from scholarly publications as well as Web crawls have been developed. We also initiated permanent crawlers of Chinese social media (Weibo/We-Chat), and developed methods for dataset profiling, entity linking and aspect-based sentiment analysis, as required for interpreting unstructured textual data: Novel approaches for clustering of research data were investigated, for instance, in order to facilitate segmentation and classification of satellite images. These methods have been expanded upon in a paper which has been accepted for publication by Elsevier Neurocomputing 2020.

20.03.2020

mobility-02

Authors

Vanessa Carlow

Olaf Mumm

Ryan Zeringue

To be submitted to

International Journal of Urban and Regional Research 2020

2020

Urban System Qingdao – A literature review

 

To be submitted | For the initial phase of the EAST-CITIES project a literature review as conducted on urbanisation processes, spatial characteristics and impacts to prepare an initial description of the Qingdao urban system. Qingdao is a rapidly growing city and current plans undertaken by the Qingdao Urban Planning and Design Institute will continue to address the urban system, notably the movement of the airport to the western side of the bay as well as the redevelopment of formerly industrial centers along the eastern bay. This paper will be submitted to the International Journal of Urban and Regional Research 2020.

15.03.2020

scenario-02

Authors

Vanessa Carlow

Olaf Mumm

Grace Abou Jaoude

To be submitted to

Futures 2020

2020

Scenario – A Review of Types and Methods

 

SP Scenario conducted an in-depth literature review of various scholarly scenario methods and statistical modelling techniques used in the field of future studies. A methodological framework was developed combining qualitative and quantitative approaches. While a qualitative approach serves to communicate and co-design scenarios with involved EAST-Cities: Establishing and Achieving Sustainability Targets in Eastern Chinese Cities 15 stakeholders and the public, numerical data and quantitative models verify the consistency and coherence of assumptions and qualitative methods. A scenario agenda has been defined by setting the objectives as well as the scope of the scenario approach – chronological time horizon, relevant issues and themes, as well as geographical extent and scale. Potential additional stakeholders were identified and key drivers of future development were defined together with our regional partners.

01.03.2020

eastcities-02

Authors

EAST-Cities Team

Project Output

EAST-CITIES Dataset Inventory

 

The data-driven approach of EAST-Cities is facilitated through a range of research datasets, currently 53, summarised at east-cities.github.io/data-inventory. This initial data collection includes a range of different data types such as: geospatial data, statistical data, e.g. on passenger flows, climate and air quality in the Qingdao region over time; text corpora e.g. scientific publications for automatically mining relevant dataset references; spatial databases, e.g. data on buildings, districts,
vegetation or infrastructure networks; and survey data, e.g. investigating business environment indicators for private sector growth. To facilitate data integration, sharing and interpretation of EAST-CITIES data, a joint data model is being developed to represent concepts and entities of interest, such as points of interest (PoIs), routes, structures, and buildings

20.02.2020

eastcities-02

Authors

EAST-Cities Team

 

Vanessa Carlow

Stefan Dietze

Olaf Mumm

Katarina Boland

Ryan Zeringue

Majd Murad

To be submitted to

Shaping Urban Change, Liveable City Regions for the 21st Century. 25th International Conference on Urban Planning and Regional Development

2020

EAST-CITIES: Data Gathering, Analysis, and Integration

 

This paper presents methodological approaches utilized by the EAST-CITIES team to generate data which may not be publicly available, alternative data, and methods of data aggregation such as (1) spectral analysis, (2) image classification, and (3) edge detection, which were applied and successfully tested in the EAST-CITIES project. The paper will be presented at the proceedings of Shaping Urban Change, Liveable City Regions for the 21st Century. 25th International Conference on Urban Planning and Regional Development in the Information Society 2020, Aachen.

02.09.2019

topoidata-02

Authors

EAST-Cities Team

Output

2019

Preliminary data collection and mapping successful

 

SP Data, in collaboration with SP TOPOI, generated initial tests on data collection and visualization techniques. Wikidata was exploited to enrich regional entities, e.g. transportation routes or PoIs with additional structured data, where an initial visualization can be found online. This initial test can be accessed via: http://wiese.free.fr/EC_wikidata.html. In order to facilitate retrieval and interpretation of obtained data, moving forward in the project, systems for creating a unified database between the different SP’s will be created.