Residential choice from a multiple criteria sustainable perspective

V Liern,B M’Zali,B Pérez-Gladish,F Rubiera-Morollón

doi:10.1007/s10479-021-04480-8

Abstract

AbstractMinimizing travel in the urban environment facilitates the development of sustainable cities. A key aspect is that there is a wide supply of amenities and facilities in the neighbourhoods: if most of the needs of families, goods and services can be covered from the sub-centers of the residential areas, it will be possible to reduce daily intra-urban mobility. The objective of this work is to propose a ranking multicriteria method that facilitates the choice of an ideal residential location in terms of neighbourhood characteristics, especially in the search of sustainable mobility for each family characteristics. One of the main problems in several Multiple Criteria Decision Making methods is the assignment of criteria weights in the aggregation process. The proposed methodology in this paper, Un-weighted TOPSIS (UW-TOPSIS) is able to overcome that problem. In this Multiple Criteria Decision Making (MCDM) method the relative proximity of each decision alternative to an ideal solution is minimized for the un-known weights of the criteria which are the variables in the corresponding mathematical programming program. Thus, a ranking based on the relative proximity of each alternative to an ideal alternative is obtained without the a priori establishment of the criteria weights. The use of subjective weights in real decision making contexts, where for instance a ranking of alternatives is required, is subject to important criticisms. This could be the case of the ranking of neighbourhoods based on their sustainability.

Highlights

Minimizing travel in the urban environment facilitates the development of sustainable cities
Ortega-Momtequín et al (2021) proposed the combined use of two well-known Multiple Criteria Decision Making (MCDM) methods, TOPSIS and Analytic Hierarchy Process (AHP), for the ranking of different neighborhoods within a city based on sustainability criteria and for different family profiles
Ortega-Momtequín et al (2021) proposed a Multiple Criteria Decision Making model based on two well-known methods, TOPSIS and AHP, to aid families in their location decisions in terms of neighbourhoods taking into account sustainability criteria

Summary

Introduction

Minimizing travel in the urban environment facilitates the development of sustainable cities. Ortega-Momtequín et al (2021) proposed the combined use of two well-known Multiple Criteria Decision Making (MCDM) methods, TOPSIS and AHP, for the ranking of different neighborhoods within a city based on sustainability criteria and for different family profiles. 3, we present the sustainable housing location decision problem from a multi-criteria perspective and apply the proposed methodology to the ranking of neighborhoods in the city of Oviedo. Their values are determined in step 5 solving two groups of mathematical programing problems which maximize and minimize the separation of each alternative to the PIS and NIS respectively, taking into account different constraints referred to the values of the weights These constraints include the classical constraint in TOPSIS approaches which ensures all the weights are positive and sum up one and other constraints imposing lower and upper bounds on the weights.

Multiple criteria residential choice problem from a sustainable perspective

Findings

Conclusions