NDLI: Spatiotemporal structure of taxi services in Shanghai: Using exploratory spatial data analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhongwei Deng Minhe Ji
Copyright Year	2011
Description	Author affiliation: Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China (Zhongwei Deng; Minhe Ji)
Abstract	Admitting the stochastic nature of taxi movement at the individual level, this paper explored the spatiotemporal structure of taxi services in Shanghai from a macro perspective. A GPS-based taxi service dataset was first processed to derive a total of 9921 taxies' OD, which were then tallied by individual street districts. An index known as Traffic Ratio Density was computed to characterize the level of taxi services for each street district and facilitate the mapping of its spatiotemporal variation. In the end, the method of Exploratory Spatial Data Analysis was used to identify spatial clusters of taxi services over time. Both global and local Mo ran's Ivalues were computed for Shanghai as a whole and for individual street districts. The positive values of the global index strongly suggested high and stable concentration pattern across all the time-periods. The local index showed that the taxi OD pattern has a high-high cluster in the CBD area, versus the low-low cluster in the suburban regions, and between them was a stochastic distribution. There was no noticeable temporal variation at eitherglobal or local level, indicating arather stable spatial and temporal structure of taxi service distribution.
Starting Page	1
Ending Page	5
File Size	322566
Page Count	5
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5981129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Transportation Cities and towns Spatial databases Spatiotemporal phenomena GPS Taxi OD ESDA Indexes Urban spatiotemporal structure Global Positioning System
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Spatial differentiation of urban carbon emissions — An exploratory spatial data analysis in Beijing

Integrating location quotient, local Moran's I and geographic linkage for spatial patterning of industries in Shanghai, China

A geometric framework for specifying spatiotemporal objects

Spatial data analysis of regional inequality in Fujian province in China since 1990

Development of Shanghai urban disaster information system based on open source WebGIS

The spatial structure of producer services in an emerging global city: A case study on Shanghai downtown

Analyzing regional economic disparities based on ESDA in Yangtze River Delta, China

County economic spatial autocorrelation research of Wanjiang Urban Belt in Anhui, China

Measurement of land use pattern based on spatial adjacency

Spatiotemporal structure of taxi services in Shanghai: Using exploratory spatial data analysis

Similar Documents

Spatial differentiation of urban carbon emissions — An exploratory spatial data analysis in Beijing

Integrating location quotient, local Moran's I and geographic linkage for spatial patterning of industries in Shanghai, China

A geometric framework for specifying spatiotemporal objects

Spatial data analysis of regional inequality in Fujian province in China since 1990

Development of Shanghai urban disaster information system based on open source WebGIS

The spatial structure of producer services in an emerging global city: A case study on Shanghai downtown

Analyzing regional economic disparities based on ESDA in Yangtze River Delta, China

County economic spatial autocorrelation research of Wanjiang Urban Belt in Anhui, China

Measurement of land use pattern based on spatial adjacency

Spatiotemporal structure of taxi services in Shanghai: Using exploratory spatial data analysis