NDLI: Incorporating crowding into the San Francisco activity-based travel model

Content Provider	Springer Nature Link
Author	Zorn, Lisa Sall, Elizabeth Wu, Daniel
Copyright Year	2012
Abstract	Information produced by travel demand models plays a large role decision making in many metropolitan areas, and San Francisco is no exception. Being a transit first city, one of the most common uses for San Francisco’s travel model SF-CHAMP is to analyze transit demand under various circumstances. SF-CHAMP v 4.1 (Harold) is able to capture the effects of several aspects of transit provision including headways, stop placement, and travel time. However, unlike how auto level of service in a user equilibrium traffic assignment is responsive to roadway capacity, SF-CHAMP Harold is unable to capture any benefit related to capacity expansion, crowding’s effect on travel time nor or any of the real-life true capacity limitations. The failure to represent these elements of transit travel has led to significant discrepancies between model estimates and actual ridership. Additionally it does not allow decision-makers to test the effects of policies or investments that increase the capacity of a given transit service. This paper presents the framework adopted into a more recent version of SF-CHAMP (Fury) to represent transit capacity and crowding within the constraints of our current modeling software.
Starting Page	755
Ending Page	771
Page Count	17
File Format	PDF
ISSN	00494488
Journal	Transportation
Volume Number	39
Issue Number	4
e-ISSN	15729435
Language	English
Publisher	Springer US
Publisher Date	2012-04-27
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Transportation planning Transit planning Activity-based travel models Transit crowding Innovation/Technology Management Regional/Spatial Science Engineering Economics, Organization, Logistics, Marketing Economic Geography
Content Type	Text
Resource Type	Article
Subject	Development Transportation Civil and Structural Engineering

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

Recent advances in activity and travel pattern modelling

Attitudes and habits in highly effective travel models

Incorporating social interaction into hybrid choice models

A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area

Evaluating light rail sketch planning: actual versus predicted station boardings in Phoenix

Large-scale application of MILATRAS: case study of the Toronto transit network

Multi-dimensional advances in travel modeling

An activity-based approach for scheduling multimodal transit services

Learning-based framework for transit assignment modeling under information provision

Incorporating crowding into the San Francisco activity-based travel model

Similar Documents

Recent advances in activity and travel pattern modelling

Attitudes and habits in highly effective travel models

Incorporating social interaction into hybrid choice models

A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area

Evaluating light rail sketch planning: actual versus predicted station boardings in Phoenix

Large-scale application of MILATRAS: case study of the Toronto transit network

Multi-dimensional advances in travel modeling

An activity-based approach for scheduling multimodal transit services

Learning-based framework for transit assignment modeling under information provision

Incorporating crowding into the San Francisco activity-based travel model