Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, Bangladesh

Although a handful of studies have begun to integrate activity space within travel behavior analysis in the European and United States (U.S.) contexts, few studies have measured the size, structure, and implications of human activity spaces in the context of developing countries. To identify the eff...

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Main Authors: Naila Sharmeen, Douglas Houston
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Urban Science
Subjects:
Online Access:http://www.mdpi.com/2413-8851/3/1/36
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spelling doaj-570274f4026348669d5a099bd0b248a62020-11-25T00:46:44ZengMDPI AGUrban Science2413-88512019-03-01313610.3390/urbansci3010036urbansci3010036Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, BangladeshNaila Sharmeen0Douglas Houston1Transportation Science, University of California, Irvine, CA 92697-3600, USADepartment of Urban Planning and Public Policy, University of California, Irvine, CA 92697, USAAlthough a handful of studies have begun to integrate activity space within travel behavior analysis in the European and United States (U.S.) contexts, few studies have measured the size, structure, and implications of human activity spaces in the context of developing countries. To identify the effects of land-use characteristics, socio-demographics, individual trip characteristics, and personal attitudes on the travel-activity based spatial behavior of various population groups in Dhaka city, Bangladesh, a household-based travel diary pilot survey (for two weekdays) was conducted for 50 randomly selected households in the winter of 2017. The study focused on two separate subareas: one taken from Dhaka North City Corporation, and another taken from Dhaka South City Corporation. Two methods—shortest-path network and road network buffer—were used for calculating activity space in a geographic information system (GIS). The daily activity areas for individual respondents ranged from 0.37 to 6.18 square miles. Land-use mix was found to be a significant predictor of activity space size for the residents. Larger activity space was recorded for the residents of one subarea over another due to less land-use diversity. The pilot data showed some specific socio-economic and travel differences across the two study subareas (car ownership, income, modal share, distance traveled, trip duration).http://www.mdpi.com/2413-8851/3/1/36activity spacetravel patternaccessibilitysocial exclusionindividual perception
collection DOAJ
language English
format Article
sources DOAJ
author Naila Sharmeen
Douglas Houston
spellingShingle Naila Sharmeen
Douglas Houston
Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, Bangladesh
Urban Science
activity space
travel pattern
accessibility
social exclusion
individual perception
author_facet Naila Sharmeen
Douglas Houston
author_sort Naila Sharmeen
title Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, Bangladesh
title_short Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, Bangladesh
title_full Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, Bangladesh
title_fullStr Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, Bangladesh
title_full_unstemmed Spatial Characteristics and Activity Space Pattern Analysis of Dhaka City, Bangladesh
title_sort spatial characteristics and activity space pattern analysis of dhaka city, bangladesh
publisher MDPI AG
series Urban Science
issn 2413-8851
publishDate 2019-03-01
description Although a handful of studies have begun to integrate activity space within travel behavior analysis in the European and United States (U.S.) contexts, few studies have measured the size, structure, and implications of human activity spaces in the context of developing countries. To identify the effects of land-use characteristics, socio-demographics, individual trip characteristics, and personal attitudes on the travel-activity based spatial behavior of various population groups in Dhaka city, Bangladesh, a household-based travel diary pilot survey (for two weekdays) was conducted for 50 randomly selected households in the winter of 2017. The study focused on two separate subareas: one taken from Dhaka North City Corporation, and another taken from Dhaka South City Corporation. Two methods—shortest-path network and road network buffer—were used for calculating activity space in a geographic information system (GIS). The daily activity areas for individual respondents ranged from 0.37 to 6.18 square miles. Land-use mix was found to be a significant predictor of activity space size for the residents. Larger activity space was recorded for the residents of one subarea over another due to less land-use diversity. The pilot data showed some specific socio-economic and travel differences across the two study subareas (car ownership, income, modal share, distance traveled, trip duration).
topic activity space
travel pattern
accessibility
social exclusion
individual perception
url http://www.mdpi.com/2413-8851/3/1/36
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AT douglashouston spatialcharacteristicsandactivityspacepatternanalysisofdhakacitybangladesh
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