Article (Scientific journals)
A framework to identify housing location patterns using profile Hidden Markov Models
Saadi, Ismaïl; Liu, Feng; El Saeid Mustafa, Ahmed Mohamed et al.
2016In Advanced Science Letters, 22 (9), p. 2117-2121
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Keywords :
Residential Locations; Activity-Travel Diaries; Activity Sequences; Profile Hidden Markov Models (pHMMs); Activity-Based Models
Abstract :
[en] The determination of comprehensive activity-travel patterns is important in the context of agent-based micro-simulation modelling. This paper presents an improved method based on profile Hidden Markov Models (pHMMs) able to include information related to the agents’ residential locations. As proposed in the framework of Liu et al. (2015), pHMMs only characterize activity-travel patterns from the activity sequences perspective. In this context, information related to the primary activity locations (e.g. home, work) is not available and, as a result, it cannot be extracted from the pHMMs themselves. With respect to this limitation, we propose to apply the framework of Liu et al. (2015) with an extension to include characterization of residential locations. Following the established guidelines, the activity sequences and their related residential locations are extracted from the activity-travel diaries in order to estimate the regularity of the activities as well as their sequential order. Subsequently, within each residential activity, we include a categorization at an aggregate level (provinces). The methodology is powerful as it characterizes any length of sequence, allowing the generation of unlimited agent plans with information about residential location. Regarding data collection, the activity-travel diaries are provided by the Belgian Household Daily Travel Survey (2010). The results obtained after the simulations indicate a good match between the predicted and observed residential locations at both the national and provincial levels.
Research center :
Lepur : Centre de Recherche sur la Ville, le Territoire et le Milieu rural - ULiège
LEMA : Local Environment Management & Analysis
Disciplines :
Civil engineering
Special economic topics (health, labor, transportation...)
Author, co-author :
Saadi, Ismaïl ;  Université de Liège > Département ArGEnCo > Transports et mobilité
Liu, Feng
El Saeid Mustafa, Ahmed Mohamed ;  Université de Liège > Département ArGEnCo > LEMA (Local environment management and analysis)
Teller, Jacques  ;  Université de Liège > Département ArGEnCo > Urbanisme et aménagement du territoire
Cools, Mario  ;  Université de Liège > Département ArGEnCo > Transports et mobilité
Language :
English
Title :
A framework to identify housing location patterns using profile Hidden Markov Models
Publication date :
2016
Journal title :
Advanced Science Letters
ISSN :
1936-6612
eISSN :
1936-7317
Publisher :
American Scientific Publishers, Stevenson Ranch, United States - California
Volume :
22
Issue :
9
Pages :
2117-2121
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
ARC Floodland
Available on ORBi :
since 15 January 2016

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