Urban sustainable mobility. Part 2: Simulation models and impacts estimation

Abstract

Summary.The urban sustainable transport policies are very different in terms of costs and expected benefits, and the effects of these policies and their combinations are difficult to anticipate on a purely intuitive basis and sometimes the end effect could be contrary to intuitive expectations (e.g. policies aimed to reduce pollution, ending up in increasing it). In this context, the concept of eco-rational planning assumes a central role. This means identifying the right mixture of interventions to be implemented on the transport system that is: rational for the transport system and sustainable for people's health and for the environmental and requires minimal economic resources. Starting from the results of the compendium paper (Part 1), the paper investigate on non-rational sustainable transport policies through an ex-post analysis on real casa application in Naples (Italy).ZRÓWNOWAŻONA MOBILNOŚĆ MIEJSKA. CZĘŚĆ 2: MODELE SYMULACYJNE I OSZACOWANIE ODDZIAŁYWANIA Streszczenie. Polityki zrównoważonego transportu miejskiego są bardzo różne pod względem kosztów i spodziewanych korzyści. Skutki polityk i ich kombinacje są trudne do przewidzenia na podstawie czysto intuicyjnej i czasem efekt może być sprzeczny z oczekiwaniami (np. polityka zmierzające do zmniejszenia zanieczyszczenia, kończąca się jego zwiększeniem). W tym kontekście pojęcie ekoracjonalnego planowania zaczyna mieć podstawowe znaczenie. Oznacza to identyfikację odpowiedniego zestawu działań (w celu wdrożenia w systemie transportowym), który jest: racjonalny dla systemu transportu i zrównoważony dla zdrowia ludzi i dla środowiska oraz wymaga minimalnych zasobów gospodarczych. Począwszy od wyników pracy przedstawionych w części pierwszej, artykuł przedstawia niezbadane racjonalne polityki zrównoważonego transportu przez analizy prawdziwych przypadków zaistniałych w Neapolu (Włochy).

Congested Urban Areas with High Interactions Between Vehicular and Pedestrian Flows: A Cost-Benefit Analysis for a Sustainable Transport Policy in Naples, Italy

“…The model has also allowed to calculate all the synthetic indicators useful to evaluate the proposed design scenario and eventually integrate and/or modify them. The macroscopic simulation model was composed by a within-day static models with variable demand (for details see also [12,13]:…”

A Sustainable Evaluation Processes for Investments in the Transport Sector: A Combined Multi-Criteria and Cost–Benefit Analysis for a New Highway in Italy

“…In this case study, an ad-hoc demand estimation that recognized the passengers' car and freight vehicle demand was implemented. Starting from the traffic counts, the mobility survey, and the available origin-destination OD matrix, a multinomial LOGIT path choice model that considered the results achieved by [101][102][103] in the Italian context was assessed. In the proposed case study, it was possible to apply a multinomial LOGIT path choice model due to the low overlap (observed) of the actual travel paths chosen by users (cars and freight vehicles).…”

Integrating tools for an effective testing of connected and automated vehicles technologies

“…Traffic micro-simulators, such as SUMO, Vissim [12], and MATSim [13], are conventionally used to estimate the level of service of road infrastructure, design and calibrate traffic control logics [14], and compare the performances of different road design solutions. Moreover, the increasing attention to environmental problems, such as air pollution, fuel consumption and noise production, has suggested to include the above aspects as decision criteria for road or traffic control designs and, more generally, for urban mobility [15]. Some studies, such as in [16], focused on the applicability of traffic micro-simulators to estimate vehicle emission based on real-world data from an expressway, but, due to systematic error, they not provide a realistic driving behaviour to estimate both consumptions and pollutant emissions of the vehicle.…”