Modelling the public transport capacity constraints’ impact on passenger path choices in transit assignment models
Journal Title: Archives of Transport - Year 2017, Vol 43, Issue 3
Abstract
The objective of this paper is to discuss the replication of passenger congestion (overcrowding) effects on output path choices in public transport assignment models. Based on a comprehensive literature review, the impact of passenger overcrowding effects was summarised in 3 main categories: the inclusion of physical capacity constraints (limits); the feedback effect between transport demand and supply performance; and the feedback effect on travel cost (discomfort penalty). Further on, sample case studies are presented, which prove that the inclusion of capacity constraints might significantly influence the assignment output and overall results in public transport projects’ assessment – yet most state-of-the-practice assignment models would either miss or neglect these overcrowding-induced phenomena. In a classical 4-step demand model, their impact on passengers’ travelling strategies is often limited to path (route) choice stage, while in reality they also have far-reaching implications for modal choices, temporal choices and long-term demand adaptation processes. This notion has been investigated in numerous research works, leading to different assignment approaches to account for impact of public transport capacity constraints – a simplified, implicit approach (implemented in macroscopic-based models, e.g. PTV VISUM), and a more complex, explicit approach (incorporated in mesoscopic-based models, e.g. BusMezzo). In the simulation part of this paper, sample tests performed on a small-scale network aim to provide a general comparison between these two approaches and arising differences in the assignment output. The implicit approach reveals some differences in assignment output once network capacity constraints are accounted for – though in a simplified manner, and producing somewhat ambiguous output (e.g. in higher congestion scenarios). The explicit approach provides a more accurate representation of overcrowding-induced phenomena - especially the evolving demand-supply interactions in the event of arising congestion in the public transport network. Further studies should involve tests on a city-scale, multimodal transport model, as well as empirical model validation, in order to fully assess the effectiveness of these distinct assignment approaches.<br/><br/>- The paper discusses the inclusion of overcrowding effects on path choices in public transport assignment models<br/><br/>- These can be grouped into 3 main categories: physical constraints, demand-supply feedback and path discomfort cost<br/><br/>- Sample case studies show that their inclusion may substantially affect the assignment output<br/><br/>- Two general methods of modelling capacity constraints are: the implicit and explicit approach<br/><br/>- An illustrative example shows that both approaches produce different output with the explicit one being more specific and adequate<br/><br/>
Authors and Affiliations
Arkadiusz Drabicki, Rafał Kucharski, Andrzej Szarata
Keywords
Related Articles
- EP ID EP220393
- DOI 10.5604/01.3001.0010.4224
- Views 193
- Downloads 0
Development of a mathematical model of the generalized diagnostic indicato on the basis of full factorial experiment
Purpose. The aim of this work is to develop a mathematical model of the generalized diagnostic indicator of the technical state of traction substations electrical equipment. Methodology. The main tenets of the experiment...
THE STUDY OF TRACK GAUGE INFLUENCE ON LATERAL STABILITY OF 4-AXLE RAIL VEHICLE MODEL
Analysis of lateral stability of rail vehicle model is the subject of present paper. The method used by the author is based on bifurcation diagrams creation and analysis. The continued study of stability of vehicle model...
DEVELOPMENT OF MODELS FOR DETERMINING THE TRAFFIC VOLUME FOR THE ANALYSIS OF ROADS EFFICIENCY
The article presents different methods of estimating DHV, including traditional Factor Approach, developed Regression Models and Artificial Neural Networks models. As explanatory variables: quantitative variables (AADT a...
Rational distribution of excess regenerative energy in electric transport systems on the basis of fuzzy logic application
Purpose. To develop the fuzzy model of distribution of excess regenerative energy in traction and external power supply systems allowing to exercise effective operation of the power equipment. Relevance. For effective di...
Input Data Selection for Road TrafficControl Systems
Emerging technologies in road traffic monitoring deliver communication solutions for wireless data transfers from mobile sensors. The availability of mobile sensors creates a huge opportunity to extend the road-side dete...