Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics

This study develops vehicular and non-vehicular trip generation models for mid-rise, multi-family residential developments. A comparative analysis of observed and Instiutue of Transportation Engineers (ITE) trip rates suggests that ITE rates consistently overestimate. A latent segmentation-based ne...

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Autores principales:	Muntahith Orvin, Daryus Ahmed, Mahmudur Fatmi, Gordon Lovegrove
Formato:	article
Lenguaje:	EN
Publicado:	University of Minnesota 2021
Materias:	Multi-modal trip generation model ITE trip generation guideline Latent segmentation-based negative binomial model Unobserved heterogeneity Built environment attributes Transportation engineering TA1001-1280 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/089d704743c8424f8fa5b65fd3a9f713
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spelling	oai:doaj.org-article:089d704743c8424f8fa5b65fd3a9f7132021-11-23T05:59:02ZDeveloping vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics10.5198/jtlu.2021.18721938-7849https://doaj.org/article/089d704743c8424f8fa5b65fd3a9f7132021-11-01T00:00:00Zhttp://www.jtlu.org/index.php/jtlu/article/view/1872https://doaj.org/toc/1938-7849 This study develops vehicular and non-vehicular trip generation models for mid-rise, multi-family residential developments. A comparative analysis of observed and Instiutue of Transportation Engineers (ITE) trip rates suggests that ITE rates consistently overestimate. A latent segmentation-based negative binomial (LSNB) model is developed to improve the methodology for estimating vehicular and non-vehicular trips. One of the key features of an LSNB model is to capture heterogeneity. Segment allocation results for the vehicular and non-vehicular models suggest that one segment includes suburban developments, whereas the other includes urban developments. Results reveal that a higher number of dwelling units is likely to be associated with increased vehicle trips. For non-vehicular trips, a higher number of dwelling units and increased recreational opportunities are more likely to increase trip generation. The LSNB model confirms the existence of significant heterogeneity. For instance, higher land-use mix has a higher probability to deter vehicular trips in urban areas, whereas trips in the suburban areas are likely to continue increasing. Higher density of bus routes and sidewalks are likely to be associated with increased non-vehicular trips in urban areas, yet such trips are likely to decrease in suburban areas. An interesting finding is that higher bikeability in suburban areas is more likely to increase non-vehicular trips. The findings of this study are expected to assist engineers and planners to predict vehicular and non-vehicular trips with higher accuracy. Muntahith OrvinDaryus AhmedMahmudur FatmiGordon LovegroveUniversity of MinnesotaarticleMulti-modal trip generation modelITE trip generation guidelineLatent segmentation-based negative binomial modelUnobserved heterogeneityBuilt environment attributesTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENJournal of Transport and Land Use, Vol 14, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Multi-modal trip generation model ITE trip generation guideline Latent segmentation-based negative binomial model Unobserved heterogeneity Built environment attributes Transportation engineering TA1001-1280 Transportation and communications HE1-9990
spellingShingle	Multi-modal trip generation model ITE trip generation guideline Latent segmentation-based negative binomial model Unobserved heterogeneity Built environment attributes Transportation engineering TA1001-1280 Transportation and communications HE1-9990 Muntahith Orvin Daryus Ahmed Mahmudur Fatmi Gordon Lovegrove Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics
description	This study develops vehicular and non-vehicular trip generation models for mid-rise, multi-family residential developments. A comparative analysis of observed and Instiutue of Transportation Engineers (ITE) trip rates suggests that ITE rates consistently overestimate. A latent segmentation-based negative binomial (LSNB) model is developed to improve the methodology for estimating vehicular and non-vehicular trips. One of the key features of an LSNB model is to capture heterogeneity. Segment allocation results for the vehicular and non-vehicular models suggest that one segment includes suburban developments, whereas the other includes urban developments. Results reveal that a higher number of dwelling units is likely to be associated with increased vehicle trips. For non-vehicular trips, a higher number of dwelling units and increased recreational opportunities are more likely to increase trip generation. The LSNB model confirms the existence of significant heterogeneity. For instance, higher land-use mix has a higher probability to deter vehicular trips in urban areas, whereas trips in the suburban areas are likely to continue increasing. Higher density of bus routes and sidewalks are likely to be associated with increased non-vehicular trips in urban areas, yet such trips are likely to decrease in suburban areas. An interesting finding is that higher bikeability in suburban areas is more likely to increase non-vehicular trips. The findings of this study are expected to assist engineers and planners to predict vehicular and non-vehicular trips with higher accuracy.
format	article
author	Muntahith Orvin Daryus Ahmed Mahmudur Fatmi Gordon Lovegrove
author_facet	Muntahith Orvin Daryus Ahmed Mahmudur Fatmi Gordon Lovegrove
author_sort	Muntahith Orvin
title	Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics
title_short	Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics
title_full	Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics
title_fullStr	Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics
title_full_unstemmed	Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics
title_sort	developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in kelowna, british columbia: assessing the impact of built environment, land use, and neighborhood characteristics
publisher	University of Minnesota
publishDate	2021
url	https://doaj.org/article/089d704743c8424f8fa5b65fd3a9f713
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Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics

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