An Integrated LUTI and DEA Procedure for Strategic Urban Transport Planning



An Integrated LUTI and DEA Procedure for Strategic Urban Transport Planning

Authors

G Musolino, C Rindone, Mediterranea University of Reggio Calabria, IT

Description

The paper proposes an approach which integrates Land Use Transport Interaction (LUTI) model and Data Envelopment Analysis (DEA) to support strategic planning at urban scale. Preliminary results of an application in an urban context are presented.

Abstract

Strategic transport planning concerns the formulation and implementation of policies and interventions that generate long-term impacts. Several methods have been proposed in literature to perform strategic transport planning at different spatial scales. In this context, the paper proposes an approach which integrates Land Use Transport Interaction (LUTI) model and Data Envelopment Analysis (DEA) to support strategic planning quantitative methods at urban scale.
LUTI models were developed to tackle the problem of simulating the two-way relationship between land use and transport in urban areas. DEA was originally conceived to evaluate production efficiency in industrial systems. Later it has been applied in transport planning, where outputs were generally represented by services.
The proposed approach consists in a general procedure that allows to evaluate alternative policies and interventions in pursuing the defined goals.
The general procedure is articulated in two main connected parts. In the first part, starting from the analysis of current situation and the definition of objectives and constraints, a set of strategies adoptable by means of alternative scenarios are defined. Alternative scenarios require inputs, which may be financial, economic, territorial resources. Inputs are translated into some decision variables, which feed the LUTI model. In the second part, LUTI and DEA models are sequentially applied: LUTI model provides the values of variables related to the activity and to the transport systems; variables are combined for the indicators? estimation; indicators are processed, together with the inputs, by DEA model in order to estimate a measure of relative efficiency, in terms of distance from efficient frontier. The estimated level of relative efficiency is compared to efficient frontier (objective) and it is verified against constrains.
The paper reports the preliminary results of a research, which has the following general objectives: LUTI model specification and application in an urban area, definition of land use and transport policies; assessment of their long-term impacts; evaluation and ranking through DEA to evaluate relative efficiency and effectiveness.
The general procedure has been validated in the urban area of Reggio Calabria (Italy): several combined scenarios with different configurations of urban development (different locations of areas for settlement of new residential and economic activities) and/or interventions and policies on transport supply system have been simulated by means of the LUTI model; their impacts have been assessed through a selected set of indicators and processed by means of DEA.
Preliminary results show the potentialities of the proposed general procedure, which integrates a LUTI and DEA model, in providing quantitative disaggregate estimation of urban policies impacts at a strategic scale.

Publisher

Association for European Transport