Ridership and Operations Visualization Engine: An Integrated Transit Performance and Passenger Journey Visualization Engine

被引：2

作者：

Caros, Nicholas S. ^{[1
]}

Guo, Xiaotong ^{[1
]}

Stewart, Anson ^{[2
]}

Attanucci, John ^{[3
]}

Smith, Nicholas ^{[4
,5
]}

Nioras, Dimitris ^{[4
]}

Gartsman, Anna ^{[6
]}

Zimmer, Alissa ^{[7
]}

机构：

[1] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[2] MIT, Dept Urban Studies & Planning, Cambridge, MA 02139 USA

[3] MIT, Ctr Transportat & Logist, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[4] Chicago Transit Author, Chicago, IL USA

[5] Swiftly Inc, Chicago, IL USA

[6] Massachusetts Bay Transportat Author, Boston, MA USA

[7] Massachusetts Dept Transportat, Boston, MA USA

来源：

TRANSPORTATION RESEARCH RECORD | 2022年

关键词：

public transportation; operations; performance measures; planning; ridership; automated passenger counters (APC); automatic vehicle location (AVL); big data; GTFS; ridership analysis;

D O I：

10.1177/03611981221103232

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Transit agencies collect a vast amount of data on vehicle positions, passenger loading and, increasingly, origin-destination flows. Collecting and synthesizing these data to support operations and planning are significant challenges and can be constrained by information silos within transit agencies. In this paper, an open-source bus performance and journey visualization dashboard, Ridership and Operations Visualization Engine, is presented, which integrates multiple disparate data sources into a flexible and iterative analysis tool. It differs from existing commercial products by including origin-destination flows along with standard performance metrics, and is designed to be adaptable and relevant to any transit agency. Two case studies are presented to demonstrate the functionality of the dashboard: planning transit priority infrastructure and evaluating network design changes. The dashboard was developed in partnership with Chicago Transit Authority and Massachusetts Bay Transportation Authority, and practical details from the installation and maintenance procedures are included for prospective users.

引用

页码：1082 / 1097

页数：16

共 27 条

[11] Kimpel T.J., 2007, TNW200614 TRANSP NW
[12] Kittelson Associates United States Federal Transit Administration Transit Cooperative Research Program and Transit Development Corporation, 2003, GUID DEV TRANS PERF, V88
[13] Kurkcu A, 2017, 2017 5TH IEEE INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), P598, DOI 10.1109/MTITS.2017.8005584
[14] Match bus stops to a digital road network by the shortest path model
Li, Jing-Quan
[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2012, 22 : 119 - 131
[15] Development of a Data-Driven Platform for Transit Performance Measures Using Smart Card and GPS Data
Ma, Xiaolei
Wang, Yinhai
[J]. JOURNAL OF TRANSPORTATION ENGINEERING, 2014, 140 (12)
[16] Massachusetts Bay Transportation Authority, 2021, SEE SOM BUS ROUT CHA
[17] McHugh B., 2013, TRANSPARENCY OPEN DA, P125
[18] Miller H., 2001, Geographic Information Systems for Transportation: Principles and Applications
[19] OpenStreetMap, 2020, PLANET DUMP
[20] Understanding Transit System Performance Using AVL-APC Data: An Analytics Platform with Case Studies for the Pittsburgh Region
Pi, Xidong
Egge, Mark
Whitmore, Jackson
Qian, Zhen
Silbermann, Amy
[J]. JOURNAL OF PUBLIC TRANSPORTATION, 2018, 21 (02) : 19 - 40

← 1 2 3 →