When planning their transport policy, cities usually focus on developing sustainable transport systems and reducing the negative consequences of transport. One way to deliver transport policies is to use the Sustainable Urban Mobility Plan (SUMP), a strategic document designed to meet the demand for mobility whilst ensuring adequate quality of life for the residents. The process of Sustainable Urban Mobility Planning (SUMP process) can be supported by using a transport model. The objective of this article is to analyse the efficacy of the Multilevel Model of Transport Systems—referred to by its acronym, MST—for the SUMP process. With its ability to represent the transport system’s behaviour depending on the level of detail, the MST can significantly benefit the SUMP process. The proposed concept of integration of the MST into the SUMP process has already been tested and applied in delivering Gdynia’s (Poland) SUMP. The paper suggests ways to use the MST at different levels of planning and modelling and describes the outcomes. Using the multilevel structure helps to fully realise the transport model’s potential to improve the effectiveness of urban mobility planning. The conclusions show that the methods proposed in the article are worthwhile and cities should consider them when planning the SUMP process.

Modelling tools and transport models are required to assess the impact of measures for the effective planning of cycling routes in cities. This paper presents the methodology for developing a four-stage macroscopic model of bicycle traffic for the city of Gdynia, and its use in planning new bicycle routes, considering a modal shift. The model presented in this paper allows for the evaluation of the influence of the characteristics of the cycling infrastructure, along with the development of the cycling network based on the choice of cycling as an alternative to other modes of transport, by taking into account the modal shift. The model takes into account the influence of the longitudinal gradient, link, and surface type of cycling routes on the distribution and demand for bicycle traffic. The results of our research allow us to assess the impact of planned cycling routes on the reduction in the volume of car traffic, which is crucial for reducing energy consumption and negative environmental impacts. Experiences from the application of the model in Gdynia suggest that the model provides a strong basis to support mobility planning and monitoring processes in cities worldwide. Cities should take into account the methods proposed in this paper when planning the development of their transport systems.

Effective prediction of speed is central to advanced traveler information and transportation management systems. The speed of public transport vehicles is affected by many external factors including traffic volume, organization and infrastructure. The literature presents methods for estimating travel time on sections of a transport network and vehicle arrival at stops, often making use of the AVL (automatic vehicle location). The aim of the authors of this paper is to identify these factors, their impact and significance on the average speed of public transport vehicles in selected sections of the transport network. The paper presents the results of field studies involving the measurement of travel time of public transport vehicles in the main streets of the Tri-City Agglomeration (Gdansk, Sopot, Gdynia). The study was carried out within the framework of the project for the construction of the urban traffic control system TRISTAR. Based on the collected data the authors built a model of the relationship between the average speed of public transport vehicles and these external factors. The results will be used to calibrate the macroscopic transport model in the Tri-City Agglomeration

The New Urban Agenda (NUA) sets a new vision of sustainable urban development to help cities deal with the challenges of changing demography. While numerous articles have addressed how the NUA can be implemented at different levels and in different areas, this article points out the potential limitations in incorporating the NUA into metropolitan transport policies. The relevance of the limitations can be seen in three main fields: incompatibility between legal and financial frameworks and the functional and spatial structures of metropolitan areas, the characteristics of how transport systems are developed as part of metropolitan functional and spatial structures and the inconsistency and inadequacy between political declarations (NUA) which are based on ideas and programmes and the objectives of strategy papers which are based on diagnoses, data analyses and predictive models. The authors put forward the thesis that by concentrating on cities, the NUA leaves out some of the characteristics of metropolitan areas. As a consequence, although the NUA can work successfully for metropolitan cores, outer areas are not covered directly. In order to verify the thesis, a comparison was made between the NUA’s transport system approach with experience from running and planning metropolitan transport systems described in the literature. The results of the comparative analysis, confirmed the thesis of the authors and made it possible to formulate general conclusions regarding the specific conditions of metropolitan areas for the running and developing of the transport system. By using explanatory case study of Tri-City Metropolitan Area (TMA) and the Strategy for Transport and Mobility for TMA 2030 general assumptions were confirmed and explain in more details. The NUA and STM were compared for how they address the main areas of intervention related to transport. Differences were identified and recommendations were formulated, should the documents be updated. The STM must be updated in areas such as equity and climate change mitigations while the NUA should be expanded to cover the specific conditions that prevail in functional and metropolitan areas.

Intelligent Transport Systems are a valuable source of traffic information, covering both private and public vehicles. The main problem, however, is that very few studies are conducted to determine the speed of buses, trams and trolleys in urban networks in relation to traffic conditions. The paper investigates how ITS systems data could be used to model the speed of Public Transport vehicles. This is now possible thanks to the implementation of TRISTAR, an Integrated Traffic Management System covering the Tri - City (Gdansk, Sopot, Gdynia). The objective of the analysis is to develop a method for modelling Public Transport vehicle speed. To that end data from TRISTAR subsystems were used. The paper explains how various data can be collected, used and combined to develop speed models. The results of analyses and a proposed speed model for Gdynia's Public Transport vehicles are presented. This is to be further verified by applying the proposed method in another city or other cities. The speed model can also be used for updating existing public transport timetables. It is also possible to use the speeds for calibrating macroscopic simulation models.

MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry