Register now! Computational Social Sciences Workshop: A Multifaceted Computational Framework for Evaluating the 15-Minute City Using Geospatial and Social Sensing Big Data 22 Sept (Mon) @E4-G051 [1 Smart Point, 15 CS]

請即登記 | 計算社會科學工作坊:劉東教授,9月22日(一)@E4-G051 [1粒至叻星、15個CS]

Computational Social Sciences Workshop: A Multifaceted Computational Framework for Evaluating the 15-Minute City Using Geospatial and Social Sensing Big Data

Speaker: Prof. Dong LIU (劉東教授) Assistant Professor, Division of Computational Social Science, School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Date: 22/9/2025 (Mon)
Time: 13:30 – 15:00
Venue: E4-G051
Language: English
 
Abstract:

This research develops a sophisticated and multi-faceted computational framework designed to operationalize and quantitatively evaluate the 15-minute city paradigm, using Hong Kong as a case study of a high-density urban environment. Moving beyond conventional proximity analyses, our approach constructs a nuanced, weighted accessibility index that synthesizes a diverse array of multi-source geospatial and social sensing big data. This synthesis incorporates detailed census records, a comprehensive POI database identifying essential urban functions, and unique social media datasets. A central methodological innovation involves the application of social sensing techniques—specifically, the harnessing and analysis of over 65 million geotagged Sina Weibo check-ins—to empirically derive and assign evidence-based weights calibrating POI attractiveness across essential urban functions. By implementing and applying a modified two-step floating catchment area (2SFCA) method, our proposed model calculates fine-grained and pedestrian-based accessibility metrics. This study provides a transferable, data-driven framework for quantitatively assessing the 15-minute city development status and delivers actionable insights to guide equitable urban policy and targeted infrastructure investment.

For participants who have registered and attended the workshop, Smart Point / CS will be given as “Knowledge Integration”.

Please note the following guidelines of Smart Point scheme:

  1. Students who attend the WHOLE activity and arrive ON TIME will be given one Smart Point;
  2. Students who arrive late or leave early within 10 minutes will be given only half a Smart Point;
  3. Students who arrive late or leave early over 10 minutes will NOT be given any Smart Point;
  4. Students who leave the venue during the activity for over 15 minutes will NOT be given any Smart Point;
  5. Students are required to check in/out of the activity with Student ID Card. For those who do not respect the activity or neglect the staff’s guidance, SAO reserves the right to cancel his/her Smart Point;
  6. For those who do not respect the activity or ignore the staff’s guidance, Student Affairs Office (SAO) reserves the right to cancel his/her Smart Point. SAO also reserves the right to interpret and process the Smart Point scheme.

Enquiry:8822 8976 or fss.enquiry@um.edu.mo 

Follow us: