The importance of a mobility system based on railway technology as the backbone of public transport is now widely acknowledged. Indeed, rail systems are green, high performing, smart and able to ensure a high degree of safety. Therefore, modal split should be steered towards rail transport by increasing the attractiveness of this transport mode. In this context, a key element is represented by the timetabling design phase, which must aim to guarantee an appropriate degree of robustness of rail operations in order to ensure a high degree of system reliability and increase service quality. A crucial factor in the task of timetabling entails evaluating dwell times at stations. The innovative feature of this paper is the analytical definition of dwell times as flow dependent. Our proposal is based on estimating dwell times according to the crowding level at platforms and related interaction between passengers and the rail service in terms of user behaviour when a train arrives. An application in the case of a real metro system is provided in order to show the feasibility of the proposed approach.
A rail system represents a useful tool for reducing flows (cars and trucks) on a road system in high density contexts (such as urban and metropolitan areas) with a view to abating greenhouse gas emissions. In particular, since rail passengers maximise their own utility, variations in mobility choices can be induced only by significantly improving the level-of-service of public transport. By defining feasibility thresholds, our proposal is to analyse the economic and environmental feasibility of a new signalling system which would increase service frequencies of a rail system, thereby reducing passenger waiting times. This approach was applied to a regional rail line in southern Italy to show the usefulness of the proposed methodology
Promoting rail systems can represent a useful policy for rebalancing modal choices and reducing private car use, especially in high density contexts. Obviously, an increase in passenger numbers is only possible if generalised costs (i.e. a weighted sum of times and monetary costs) associated to public transport are abated. According to the recent literature and current professional practice, most strategies for achieving this objective are based only on infrastructural interventions which may be unfeasible or inadequate in densely populated contexts. Likewise, the adoption of policies based on replacing existing fleets or reducing fare levels entails increases in national or regional subsidies, which would be difficult to achieve in the current economic climate.\ud Hence, our proposal is based on investigating effects on travel demand arising from the replacement or upgrading of existing signalling systems (both in terms of trackside and on-board equipment). Indeed, the recent European Union policy to create a single transnational interoperable rail network imposes the development of innovative signalling systems. In this context, since cost-benefit analysis has to be implemented to verify the economic and environmental feasibility of the proposed intervention strategy, an appropriate method should be developed to estimate passenger flows according to future configurations. In this paper, we propose a method to determine travel demand in current and future contexts by appropriately processing data from Italy's national census on mobility, population growth forecasts and turnstile counts. The proposed approach is applied to the regional ‘Naples–Sorrento’ rail line serving the metropolitan area of Naples in southern Italy in order to show its feasibility
A rail system may be considered a useful tool for reducing vehicular flows on a road system (i.e. cars and trucks), especially in high-density contexts such as urban and metropolitan areas where greenhouse gas emissions need to be abated. In particular, since travellers maximise their own utility, variations in mobility choices can be induced only by significantly improving the level-of-service of public transport. Our specific proposal is to identify the economic and environmental effects of implementing an innovative signalling system (which would reduce passenger waiting times) by performing a cost-benefit analysis based on a feasibility threshold approach. Hence, it is necessary to calculate long-term benefits and compare them with intervention costs. In this context, a key factor to be considered is travel demand estimation in current and future conditions. This approach was tested on a regional rail line in southern Italy to show the feasibility and utility of the proposed methodology.
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