Workshop on Urban Operations Research 2018

December 8-9, 2018 Nanzan University, Nagoya

Workshop on Urban Operations Research 2018

December 8-9, 2018

Nanzan University, Nagoya, Japan

Room R49 in Building R

Urban Operations Research addresses a variety of issues in transportation, location planning, urban policy and planning, spatial data and modeling, and so on. This workshop aims to give opportunities for researchers and practitioners to exchange innovative ideas on various topics of urban operations research and related areas. The organizing committee encourages students to present their preliminary results that are not necessarily ready for publications.

Invited Speakers

• Prof. Michael Kuby, School of Geographical Sciences & Urban Planning, Arizona State University [click here to see Title & Abstract]

  Title: Trip-Based Hydrogen Station Location for Central Connecticut: Combining Regional and Micro Scale Modeling
  
  Abstract: The Flow Refueling Location Model (FRLM) is a path-based approach to planning a system of alternative-fuel stations. Drivers stop along their shortest routes to refuel and must be able to complete round trips without running out of fuel. Locations where multiple freeways intersect can potentially capture huge flow volumes, but access between highway intersections and the surrounding street and ramp network can be problematic. This paper integrates the FRLM, the DFRLM (with Deviations), and a GIS-based Freeway Traffic Capture Method (FTCM) to handle this multi-scale location planning problem. The model is applied to the Hartford, Connecticut region between New York and Boston, which will be one of the next areas for expansion after California.

  
  
• Prof. Sergio Garcia Quiles, School of mathematics, The University of Edinburgh [click here to see Title & Abstract]

  Title: Facility location with customer’s preferences
  
  Abstract: In a facility location problem we usually have some constraints that define the conditions of our problem and we have an objective function to optimize (like maximizing profit or minimizing cost). The locators usually assume that the customers will follow their optimality criterion, for example, they will go to the closest open facility. However, quite often the customers have a different idea in mind and, particularly, the ranking of which facilities are closer does not coincide with their rankings of preferences. Therefore, it is important to take this into account and incorporate these preferences into the models. In the case of the classical Simple Plant Location Problem, we obtain the so-called Simple Plant Location Problem with Order, which I will discuss in my talk.

  
  
• Prof. Janny M.Y. LEUNG, Systems Engineering and Engineering Management Dept, The Chinese University of Hong Kong (Shenzhen) [click here to see Title & Abstract]

  Title: Real-time Re-scheduling for Public Transit
  
  Abstract: We study a vehicle and crew (re-)scheduling problem for a public transit system which is subject to highly stochastic travel times and disruptions. Our research is motivated by the operations of the tramways system in Hong Kong which faces severe challenges because it does not run on dedicated tracks but must share the road with vehicular traffic in heavily congested areas.
  We develop a decision-support system that optimises service frequencies, meal-break delays and overtime costs, and taking stochastic time-dependent travel-time uncertainties into account.
  Future research will investigate how real-time demand information (from multi-media sources) might be available and how the system can operate to be more demand-responsive dynamically.

Information

Contact

For further information, please contact to: uor-admin _at_ nanzan-u.ac.jp