Assessing the impact of adaptive accessibility on the optimal transport policy implementation by using an integrated land-use/transport model for Madrid

Accessibility is an essential concept widely used to evaluate the impact of land-use and transport strategies in transport and urban planning. Accessibility is typically evaluated by using a transport model or a land-use model independently or successively without a feedback loop, thus neglecting the interaction effects between the two systems and the induced competition effects among opportunities due to accessibility improvements. More than a mere methodological curiosity, failure to account for land- use/transport interactions and the competition effect may result in large underestimation of the policy effects. With the recent development of land-use and transport interaction (LUTI) models, there is a growing interest in using these models to adequately measure accessibility and evaluate its impact. The current study joins this research stream by embedding an accessibility measure in a LUTI model with two main aims. The first aim is to account for adaptive accessibility, namely the adjustment of the potential accessibility due to the effect of competition among opportunities (e.g., workplaces) as a result of improved accessibility. LUTI models are particularly suitable for assessing adaptive accessibility because the competition factor is a function of the number of jobs, which is related to land-use attractiveness and the number of workers which is related, among other factors, to the transport demand. The second aim is to identify the optimal implementation scenario of policy measures on the basis of the potential and adaptive accessibility and analyse the results in terms of social welfare and accessibility. The metropolitan area of Madrid is used as a case-study and two transport policy instruments, namely a cordon toll and bus frequency increase, have been chosen for the simulation study in order to present the usefulness of the approach to urban planners and policy makers. The MARS model (Metropolitan Activity Relocation Simulator) calibrated for Madrid was employed as the analysis tool. The impact of accessibility is embedded in the model through a social welfare function that includes not only costs and benefits to both road users and transport operators, but also costs and benefits for the government and society in general (external costs). An optimisation procedure is performed by the MARS model for maximizing the value of objective function in order to find the best (optimal) policy imp lementations intensity (i.e., price, frequency). Last, the two policy strategies are evaluated in terms of their accessibility. Results show that the accessibility with competition factor influences the optimal policy implementation level and also generates different results in terms of social welfare. In addition, mapping the difference between the potential and the adaptive accessibility indicators shows that the main changes occur in areas where there is a strong competition among land-use opportunities

Impacts of fuel consumption taxes on mobility patterns and CO2 emissions using a system dynamic approach

Current transport behaviour leads to increasing congestion of the infrastructure, growing dependence on fossil fuels, increasing energy demand, and growing CO2 emissions. Policies based principally on increasing system speed and in particular car speeds will lead to greater urban sprawl with increases in average trip lengths. Time saved by speed increases are traded for more distance. This trend is not sustainable in the longer term. Transport policies based just on time savings for citizens may not be the basis for our city planning strategy. The same happens with transport cost. With underpriced transport, the market undervalues land use location, which again may lead city to sprawl and could induce greater trip lengths. In this study, the efficiency of a fuel consumption or CO2 tax policy is analysed as a policy to internalise externalities of transport in a fair travel cost. Based on system dynamics theory, an integrated land use and transport model is proposed in order to assess the effects and impacts of such policy in the short, medium and long term. Different scenarios related to clean vehicles are incorporated. This model is applied to three cities Madrid, Vienna and Leeds and compares their results

The integrated dynamic land use and transport model MARS

Cities worldwide face problems like congestion or outward migration of businesses. The involved transport and land use interactions require innovative tools. The dynamic Land Use and Transport Interaction model MARS (Metropolitan Activity Relocation Simulator) is part of a structured decision making process. Cities are seen as self organizing systems. MARS uses Causal Loop Diagrams from Systems Dynamics to explain cause and effect relations. MARS has been benchmarked against other published models. A user friendly interface has been developed to support decision makers. Its usefulness was tested through workshops in Asia. This paper describes the basis, capabilities and uses of MARS

Accessibility dynamics and regional cross-border cooperation (CBC) perspectives in the portuguese—spanish borderland

Accessibility plays a major role in achieving sustainable transport, and therefore urban and regional sustainability. The urban public transport system promotes mobility and realizes a large part of urban movements. Moreover, improving accessibility in order to promote sustainable transport requires the application of new concepts and indicators as a powerful tool in the process of creating a balanced urban transport system. In this regard, one of the main goals of this research is to present an overview of the relevant accessibility indicators and assessment of accessibility in regional Cross-Border Cooperation (CBC) in order to transcendence challenges and obstacles for sustainable transportation in these regions along of Portuguese-Spanish border. This paper focuses on the accessibility of cross-border cooperation scenarios along the border regions of Alto Alentejo (Portugal) and Badajoz (Spain) where the Case Study Research Method (CSR) made it possible to recognize accessibility as a key factor in territorial success. Also, accessibility analysis can assess improvements as well as regional imbalances. In addition, this methodology can be used to identify missing links, which requires new investments enabling long-term sustainability.info:eu-repo/semantics/publishedVersio

Modelling land use and transport policies to measure their contribution to urban challenges: the case of Madrid.

Urban areas play a key role in the development of European territories, and it is essential for them to be sustainable and efficient. However, the European cities are facing some challenges related to certain trends that are threatening their sustainable development and operational efficiency. In this paper, we compare the contribution of three policy measures—cordon toll accompanied by public transport improvements, teleworking and re-densification—to address different city challenges. The policy assessment requires a long term simulation tool, i.e., the MARS (Metropolitan Activity Relocation Simulator) model, which is able to consider interactions between land use and transport systems. The simulations of the different policy scenarios were carried out for the case of Madrid in the period 2012–2031. The contribution of the policy measures to address the city challenges was measured through different indicators. The results indicated that the three policy measures contributed to the time efficiency challenge, by saving time for the commute, reducing congestion and improving the traffic flows at peak hours. The most effective policy in this regard is the teleworking measure. Another challenge addressed by the three policies was the accessibility to PT. The three policy scenarios, when simulated, showed higher PT use, especially the cordon toll scenario. However, the only policy that really contributed to the energy, emissions and pollution city challenges was the re-densification measure, which reduced travel distances and encouraged a mobility that relies more on PT and slow modes

Accessibility and territorial cohesion in a case of transport infrastructure improvements with changing population distributions

In the last decade or so many studies have looked into the impacts of infrastructure improvements on decreasing territorial disparities. In those studies population levels are usually assumed static, although future population levels likely change in response to changing accessibility levels as well as to other factors. This study uses future population distributions simulated by the LUMP land-use model to assess the impacts of large transport network investments on regional accessibility disparities. The results indicate that contrasting local urbanization patterns only modestly affect average national accessibility levels, but that those patterns have a considerable effect on regional inequality indicators. This underpins the importance of incorporating future population levels when assessing cohesion impacts of infrastructure investments.JRC.H.8-Sustainability Assessmen

Land-Use Transport Interaction: State of the Art

This paper investigates innovative approaches to the integration of land-use and transport planning in urban regions. Engineering, economic and social-science based theories and empirical studies are analyzed regarding their ability to explain the interaction between land use and transport - that land use determines traffic flows and that transport infrastructure changes land-use patterns. In addition, this paper provides an overview of the state of the art of computer models for the simulation of land use and transport. Based on these theories and models the effectiveness of policies to influence land use and transport in urban regions is assessed.Urban location theory, transportation research, land use- transport interaction, urban simulation modeling, location choice

Spatial spillovers of transport infrastructure

Véase archivo adjunt

Spatial spillovers of transport infrastructure

Véase archivo adjunt

A New Framework to Assess Regional and Urban Impacts of Transport Infrastructure: The Case of High-Speed Rail in Portugal

This paper presents a comprehensive framework for modeling the impacts of large-scale transport infrastructure which have the potential to fundamentally alter the spatial interaction properties of regions, producing significant socio-demographic and economic modifications. This model is being developed as part of a broader research project to assess the impacts of the development of a high-speed rail (HSR) network in Portugal and to evaluate the best infrastructure and service configurations of the system. The framework will be applied to study a future HSR line between Lisbon and Oporto, exploring the concept of megalopolis formation for the corridor. The expected impacts of HSR include rearrangements of the socio-economic structure of the region it serves, redefinition of the nature of the economic linkages to neighboring regions and other external regions, and changes to the urban forms of the various urban centers which will experience significant accessibility upgrades. The framework calls for an agent-based formulation, with decision-making agents at various spatial scales and decision making levels interacting both in space and across levels, producing effects on upper and lower levels of spatial resolution and decision making. The model will include three main types of agents, which are linked to different scales of decision-making and spatial resolution, e.g. municipal, regional, and national. This paper presents the framework of the model, characterizes the interactions among the various levels of decision-making and assessment, and describes the methodological formulation of all the sub-models proposed for this comprehensive simulation tool