Position：Professor
email：
Home Page：
https://lab.ae.keio.ac.jp/~kurita_lab/
Urban Operations Research, Urban Analysis, Socio-economic Planning
Our laboratory focuses on the development of model-based analytical methods for solving social and urban problems. Because existing cities must be redeveloped to provide their residents with quality living environment, we quantitatively study the effects of related policies using models from operations research.
Operations Research 2
Operations Research 3
Laboratories in Industrial and Systems Engineering 4
Introductory Exercises to Industrial and Systems Engineering 2
Urban Engineering
Operations Research on Urban Analysis
This project studies a system for the delivery and collection of goods in coastal areas and islands using an autonomous drone that uses a regular ferry as a base for take-off and landing. The pick-up and delivery points can be, for example, the islands and coastal areas of the Seto Inland Sea in Japan. The system can assist residents with a limited access to shopping facilities to meet their needs. The proposed system (1) can reduce the flight distance compared with flying a drone from an onshore base, (2) ensure the safety of operations by flying over the sea rather than over populated areas, and (3) can create an entire logistics system using the ports of call of a regular ferry as depots.
Numerical experiment of delivery by drone Delivery scheduling to three islands
In a problem that has multiple facilities of the same type on a line with continuously distributed demand, we assign the probability that residents will choose a given facility using a disaggregate logit model. The utility function is assumed to be the weighted sum of travel distances and attractiveness of the facilities. We consider maximizing the benefit to residents depending on the location of facilities using the average value of the expected utility. We proved that dispersed and aggregated solutions may exist for the optimal facility locations and the transition between these solutions depends on the regional mobility level.
This study is concerned with approximating the moments of the Euclidean distance between two coplanar regions. First, we formulated a series expansion of a distance between two points located in the two regions with respect to the inverse of the distance between the centers of the two regions. Integrating the n-th power of the series over the direct product of the two regions divided by the region areas resulted in a series expansion for the n-th moment of the distance between uniformly distributed points in each region. We evaluated the accuracy of the approximate formulas for the distance moments made by the abovementioned method.
Cities developed, often over centuries, as a natural result of human behavior, and yet many have produced a sense of alienation among their inhabitants and present them with severe disadvantages and challenges because of problems such as traffic congestion, air pollution, long commute times, and waste disposal. Cities must now renew themselves to provide their residents with an improved quality of life. Urban renewal necessitates understanding the quantitative effects of the relevant policies; hence, quantitative models based on scientific approaches, such as operations research, should be adopted, although the limitations of quantitative thinking must also be addressed.
