Optimizing Bus Stop Spacing Using a Spatial Interaction Coverage Model and the Maximal Covering Location Problem Model

Authors: Yunlei Liang*, University of Wisconsin-Madison, Song Gao, University of Wisconsin-Madison
Topics: Geographic Information Science and Systems, Transportation Geography
Keywords: Optimization, Transportation, GIS, Interaction, MCLP
Session Type: Paper
Day: 4/4/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Roosevelt 2, Marriott, Exhibition Level
Presentation File: No File Uploaded


Public transportation systems, in particular, bus systems, play an essential role in the process of urbanization. Typically more bus stops enable more people to access the bus whereas lower the efficiency of bus system. This study integrates two models to identify and remove redundant bus stops while maintain the overall success of the whole bus system. The Spatial Interaction Coverage (SIC) model aims to model the relationship between demand points and bus stops. It takes factors such as the distance and the attractiveness of each bus stop into consideration. The Maximal Covering Location Problem (MCLP) model is built to select stops that can be accessed by the greatest number of riders within a specific distance. By applying the two models to one bus route in Kitchener-Waterloo region, we find that the bus operation efficiency can be increased by 7.28% after optimization.

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