A quantitative exploration of linkages across the decision stages of Residential Relocation Process

When a household decides to move from the current location, it takes bundle of decisions such as when to move, where to search, and others. We hypothise that these decisions are interlinked and may result in different decision-making trajectories. This heterogeneity in decision-making may exist due to the influence of different triggers, associated urgency, and household's attributes on spatial decisions (search criteria and search type: tenure or typology), choice of information source, search duration, and search extent which may result in varied choice set for different households. The paper aims to establish a need to determine these decision trajectories by quantitatively exploring the variation across decision dimensions. A retrospective revealed preference survey was conducted in Rajarhat Newtown and Rajarhat Gopalpur in India resulting in 272 households’ samples. The findings support the hypothesis and also suggests that variation in trigger and urgency results in the variation of search duration from 1 day to 2 years whereas variation in household's attributes reveals the selection of different search criteria and search type. The study bears an important implication on land use and transportation integration (LUTI) models by providing an alternative approach to consider dependency across decision stages dimensions of relocation process to develop the choice set formation, and location choice model.

Authors

Institutions

Publication Details

Journal
Transportation research procedia
Published
2025-01-01
DOI
https://doi.org/10.1016/j.trpro.2024.12.063
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
2.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A quantitative exploration of linkages across the decision stages of Residential Relocation Process

Debapratim Pandit, Preety Saini
1 citations
Transportation research procedia
Urban Transport and Accessibility
2.18
article

A quantitative exploration of linkages across the decision stages of Residential Relocation Process

Debapratim Pandit, Preety Saini
article en
1 citations

Abstract

When a household decides to move from the current location, it takes bundle of decisions such as when to move, where to search, and others. We hypothise that these decisions are interlinked and may result in different decision-making trajectories. This heterogeneity in decision-making may exist due to the influence of different triggers, associated urgency, and household's attributes on spatial decisions (search criteria and search type: tenure or typology), choice of information source, search duration, and search extent which may result in varied choice set for different households. The paper aims to establish a need to determine these decision trajectories by quantitatively exploring the variation across decision dimensions. A retrospective revealed preference survey was conducted in Rajarhat Newtown and Rajarhat Gopalpur in India resulting in 272 households’ samples. The findings support the hypothesis and also suggests that variation in trigger and urgency results in the variation of search duration from 1 day to 2 years whereas variation in household's attributes reveals the selection of different search criteria and search type. The study bears an important implication on land use and transportation integration (LUTI) models by providing an alternative approach to consider dependency across decision stages dimensions of relocation process to develop the choice set formation, and location choice model.

Transportation research procediaVol. 82
Indian Institute of Technology Kharagpur (IN)
Sustainable cities and communities
Openalex Percentile: Top 16%
Urban Transport and Accessibility
2.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.