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Title:

A Comprehensive Taxi Assessment Index Using Floating Car Data
Cover of A Comprehensive Taxi Assessment Index Using Floating Car Data

Accession Number:

01519072

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

With the expansion of urban area and development of taxi system, problems such as low operation efficiency, high taxi-idling rate, and long passenger waiting-time arise. Although various studies have been conducted, only limited overview of the factors towards urban taxi system has been provided. Consequently, a comprehensive evaluation of taxi system is essential for the urban planner to analyze the current situation and take effective measures. This paper, by using Floating Car Data (FCD), proposes a Comprehensive Taxi Assessment Index (CTAI) to quantify the quality of existing urban taxi system with the assistance of Geographic Information System (GIS) technology. The proposed index system extracts and classifies key factors, reflecting the taxi system from the perspectives of operation efficiency, customer and taxi-driver satisfaction. The system contributes to improving the organization and operation of urban taxi system. Based on the data obtained from the city of Shenzhen, Guangdong province, China, for both weekday and weekends (Dec., 2011), the proposed CTAI was illustrated using the Principal Component Analysis (PCA) with ArcGIS 10.0 platform. Results indicate the system provides a good multi-dimensional view to delve into the existing urban taxi operation, thus to point out the most sensitive indices towards the entire system, which consequently provides guidelines for future improvement and management of urban taxi system.

Supplemental Notes:

This paper was sponsored by TRB committee AP060 Paratransit.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-3884

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Zhang, Dao-Zheng
Peng, Zhong-Ren
Sun, Daniel Jian

Pagination:

18p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Shenzhen (China)

Subject Areas:

Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-3884

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:20PM