Urban Transportation Network-Equilibrium and Design Models: Recent Achievements and Future Prospects

1984 ◽  
Vol 16 (11) ◽  
pp. 1445-1474 ◽  
Author(s):  
D E Boyce
Keyword(s):  
Case Studies ◽  
Transportation Planning ◽  
Transportation Network ◽  
Urban Transportation ◽  
Future Research ◽  
Network Equilibrium ◽  
Future Prospects ◽  
Design Models ◽  
Planning Methods

Three case studies pertaining to the development of scientifically rigorous methods in urban transportation planning are presented. Drawing on the lessons of these studies, an approach and attitude toward future research on planning methods and practice is considered.

The Characteristics of Resident Travel in Beijing Xizhimen Transport Terminal

2011 ◽  
Vol 225-226 ◽  
pp. 1212-1217
Author(s):  
Xue Mei Li ◽  
Jing Yin ◽  
Qian Che
Keyword(s):  
Travel Behavior ◽  
Transportation Planning ◽  
Large Scale ◽  
Transportation Network ◽  
Urban Transportation ◽  
The Other ◽  
Theoretical Support ◽  
Controllable Factors ◽  
Disaggregate Model ◽  
Core Facilities

Transport Terminals are core facilities of urban transportation system, and the joint of different transportation in urban transportation network. Because of their functions and place, they are faced with huge traffic pressure. So the research about the characteristics of resident travel in transport terminals could provide theoretical support for urban transportation planning, organizing and managing, finally improve urban transportation satisfaction among residents. Against this background, Xizhimen as the research object is a representative transport terminal in Beijing. Based on large-scale investigation, on one hand, the characteristics of residents travel behavior are analyzed qualitatively; on the other hand, by building the Disaggregate Model, analyze the utility functions of different travel modes quantitatively, to find some controllable factors to optimize transport terminal and improve their satisfaction.

Bi-Level Programming Models Applied in Urban Transportation Network Design Problems

2013 ◽  
Vol 791-793 ◽  
pp. 1172-1175
Author(s):  
Chuan Song
Keyword(s):  
Network Design ◽  
Transportation Network ◽  
Urban Transportation ◽  
Programming Models ◽  
Future Research ◽  
Open Problems ◽  
Design Problems ◽  
Practical Applications ◽  
Network Design Problems ◽  
Comprehensive Survey

In this paper, we conduct a comprehensive survey on the past developments and recent advances of bilevel programming models, algorithms and practical applications in urban transportation network design problems. Moreover, based on this survey, some open problems and future research directions are proposed.

Application of Simultaneous and Sequential Transportation Network Equilibrium Models to Riyadh, Saudi Arabia

1998 ◽  
Vol 1645 (1) ◽  
pp. 127-132 ◽  
Author(s):  
Mohamad K. Hasan ◽  
Saad A. H. Al-Gadhi
Keyword(s):  
Saudi Arabia ◽  
Traffic Flow ◽  
Transportation Network ◽  
Urban Transportation ◽  
Network Equilibrium ◽  
Sequential Process ◽  
Trip Generation ◽  
Sequential Model ◽  
Short Run ◽  
Simultaneous Model

The approach used in practice to predict short-run transport equilibria involves a sequential process, often with four stages: trip generation, trip distribution, modal split, and traffic assignment. This approach has an inherent weakness—its prediction need not be internally consistent. This deficiency has motivated attempts to predict all four stages simultaneously. The (conventional) sequential and simultaneous models are compared by calibrating and applying both models to the urban transportation network of Riyadh, Saudi Arabia. The main finding is that the simultaneous model produces better traffic flow predictions than the prediction of the conventional sequential model. These predictions are much better for the heavy volume links that are the most important links in the prediction process.

Accessibility Analyst: An Integrated GIS Tool for Accessibility Analysis in Urban Transportation Planning

10.1068/b305 ◽  
2004 ◽  
Vol 31 (1) ◽  
pp. 105-124 ◽  
Author(s):  
Suxia Liu ◽  
Xuan Zhu
Keyword(s):  
Transportation Planning ◽  
Profile Analysis ◽  
Transportation Network ◽  
Urban Transportation ◽  
Impedance Measurement ◽  
Network Efficiency ◽  
Accessibility Analysis ◽  
Wide Range ◽  
Tool Accessibility ◽  
Travel Impedance

The authors present an integrated GIS tool, Accessibility Analyst, for accessibility analysis in urban transportation planning, built as an extension to the desktop GIS software package, ArcView. Accessibility Analyst incorporates a number of accessibility measures, ranging from catchment profile analysis to cumulative-opportunity measures, gravity-type measures, and utility-based measures, contains several travel-impedance measurement tools for estimating the travel distance, time, or cost by multiple travel modes along actual travel routes, and interoperates with GIS data-management and data-integration, spatial-analysis, network-analysis, surface-modelling, and spatial-visualisation functions. Undertaking accessibility analysis with use of Accessibility Analyst allows the user to take full advantage of a GIS to produce spatial distributions of accessibility over a region. It can be applied to a wide range of issues in urban transportation planning, such as for studies on the relationship between transportation and land use, evaluation of transportation network efficiency, transportation infrastructure planning, and for impact assessments relating to transportation policies.

scholarly journals Exploring Equity in Public Transportation Planning Using Smart Card Data

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3039
Author(s):  
Kiarash Ghasemlou ◽  
Murat Ergun ◽  
Nima Dadashzadeh
Keyword(s):  
Smart Card ◽  
Public Transportation ◽  
Transportation Planning ◽  
Demand Characteristic ◽  
Monthly Data ◽  
Smart Card Data ◽  
Planning Methods ◽  
Public Transportation Planning ◽  
Daily Travel ◽  
A Share

Existing public transport (PT) planning methods use a trip-based approach, rather than a user-based approach, leading to neglecting equity. In other words, the impacts of regular users—i.e., users with higher trip rates—are overrepresented during analysis and modelling because of higher trip rates. In contrast to the existing studies, this study aims to show the actual demand characteristic and users’ share are different in daily and monthly data. For this, 1-month of smart card data from the Kocaeli, Turkey, was evaluated by means of specific variables, such as boarding frequency, cardholder types, and the number of users, as well as a breakdown of the number of days traveled by each user set. Results show that the proportion of regular PT users to total users in 1 workday, is higher than the monthly proportion of regular PT users to total users. Accordingly, users who have 16–21 days boarding frequency are 16% of the total users, and yet they have been overrepresented by 39% in the 1-day analysis. Moreover, users who have 1–6 days boarding frequency, have a share of 66% in the 1-month dataset and are underrepresented with a share of 22% in the 1-day analysis. Results indicated that the daily travel data without information related to the day-to-day frequency of trips and PT use caused incorrect estimation of real PT demand. Moreover, user-based analyzing approach over a month prepares the more realistic basis for transportation planning, design, and prioritization of transport investments.

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