Analysis of Spatial Equity in Taxi Services: A Case Study of New York City

被引：0

作者：

Pan, Renbin ^{[1
]}

Zhang, Shuangyan ^{[1
]}

Yang, Hongtai ^{[1
]}

Xie, Kun ^{[2
]}

Wen, Yi ^{[3
]}

机构：

[1] Southwest Jiaotong Univ, Sch Transportat & Logist, Natl Engn Lab Integrated Transportat Big Data App, Chengdu 611756, Peoples R China

[2] Old Dominion Univ, Dept Civil & Environm Engn, 135 Kaufman Hall, Norfolk, VA 23529 USA

[3] Univ Tennessee, Dept Civil & Environm Engn, 325 John D Tickle Bldg,851 Neyland Dr, Knoxville, TN 37996 USA

来源：

2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC) | 2019年

关键词：

GPS; ACCESSIBILITY; FACILITIES; CONTEXT;

D O I：

暂无

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

Many people criticize the unequal distribution of traditional taxis (TT) service and believe the advent of e-hailing taxis (ET) can bring equity to the public. However, this have not been rigorously studied by existing research. This paper aims to explore the spatial equity of taxi services and how the advent of ET affects the equity. Trip data of TT and ET in New York City in 2010 and 2017 was used for a case study. The spatial autoregressive models were used to estimate the spatial dependence of taxi service pick-ups, which could indicate the existence of inequality in taxi services. It was found that the spatial dependence of TT in 2010 was the highest and the spatial dependence of ET was the lowest in 2017 with other contributing factors like population and employment controlled. When ET appeared, the spatial dependence of the total taxis (TT+ET) trips in 2017 decreased compared with that in 2010, suggesting that the advent of ET increased the spatial equity of taxi services.

引用

页码：2659 / 2664

页数：6

共 32 条

[1] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION
AKAIKE, H
[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) : 716 - 723
[2] Allen R. G., 1998, FAO Irrigation and Drainage Paper
[3] [Anonymous], MATH PROBL ENG, DOI DOI 10.1155/2017/7405475
[4] [Anonymous], IMPACT UBER TECHNOLO
[5] [Anonymous], 2017, EXPLORING TAXI UBER
[6] [Anonymous], J ANAL METHODS CHEM
[7] [Anonymous], 2003, GeoDa 0.9 user's guide. spatial analysis laboratory (SAL)
[8] [Anonymous], SPACESTAT VERSION 1
[9] GeoDa:: An introduction to spatial data analysis
Anselin, L
Syabri, I
Kho, Y
[J]. GEOGRAPHICAL ANALYSIS, 2006, 38 (01) : 5 - 22
[10] Bao J., 2018, Exploring contributing factors to the usage of ridesourcing and regular taxi services with high-resolution gps data set

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