Understanding and Designing the Urban Transportation System in Shenzhen: supply, demand, and gap based on bus smart card data analysis

Authors: Hui Kong*, The Ohio State University, Daniel Sui, The Ohio State University
Topics: Transportation Geography, Quantitative Methods, Spatial Analysis & Modeling
Keywords: Service Supply, Travel Demand, Bus Smart Card Data, new urban science
Session Type: Paper
Day: 4/14/2018
Start / End Time: 4:00 PM / 5:40 PM
Room: Bourbon Room, Astor, Mezzanine
Presentation File: No File Uploaded


Despite the rapid increase of private car ownership in China during past two decades, public transportation remains still the most popular means for commuting among urban residents in most Chinese cities. On significant improvement to the public transit systems in China in recent years is the growing deployment of the so-called Smart card automated fare collection (AFC) systems, which have produced large quantities of very detailed smart card data (SCD) about onboard transactions. Compared to traditional data collection methods in transportation analysis, SCD has enabled researchers to have access to a large volume of data of each individual commuter over a long period of time. The goal of this study is to build a bridge between bus network planning/design and quantitative network analysis using bus SCD. Taking advantage of SCD, this research focuses on measures the service supply of the bus network in Shenzhen, and quantifies the travel demand of citizens. Based on the gap between supply and demand, the current bus system is evaluated and a new bus stop distribution is designed.

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