Exploring factors associated with commute mode choice: An application of city-level general social survey data

Ko, Joonho; Lee, Sugie; Byun, Miree

doi:10.1016/j.tranpol.2018.12.007

Cited by 67 publications

(35 citation statements)

References 27 publications

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“…In line with the literature (Ko et al, 2019;Kim and Ulfarsson, 2008), households with children are more car-dependent. A household with children is 1.8 times more likely to choose driving over PT and 3.3 times more willing to drive than to walk or cycle to work.…”

Section: Resultssupporting

confidence: 84%

Estimating the impact of parking on car ownership and commute mode choices

Khazaeian¹

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Researchers in commuting studies predominantly focus on movements. However, every trip starts and terminates in a place. For drivers, commuting is a journey between parking locations. They start their journey from home parking, park near work, and eventually return to home parking. Cars spend most of the day parked, with associated externalities. Drivers waste time and fuel cruising for parking in city centres and waste other drivers’ time and fuel by slowing traffic. More fuel consumption implies more carbon emissions and local air pollution. Providing off-street home parking increases house prices and reduces house affordability. Nonetheless, parking is a small part of the transportation literature and further research is needed to support a comprehensive understanding of parking and its impacts on travel behavior. This thesis is centreed around three questions; “How does the quantity of home parking affect car ownership and commute mode?”, “How do home parking type and quantity affect car ownership?”, “How does walking time from parking location to work impact parking type choice?”. Each question is answered in a separate chapter using a discrete choice model and a sample of commuters surveyed in the New Zealand Household Travel Survey (NZHTS) in the Greater Wellington Region (GWR), New Zealand. We find that home parking quantity strongly and positively affects car ownership and proclivity for driving. Residential parking is the most important factor in encouraging carless households to acquire a car. High home parking supply motivates households to drive more often. More car trips from suburbs means higher demand for parking downtown and highlights the relationship between home parking and work parking. More garage spaces at home noticeably motivates households to have multiple cars. The number of driveway spaces positively influences owning more than two cars. An inverse relationship exists between on-street parking demand and car ownership. For work parking, we find that walking time from public off-street parking to work significantly discourages commuters from choosing public off-street parking. Walking time from an on-street parking to work is also a significant disincentive for choosing On-street parking. The cost of on-street parking is important, followed by the number of on-street parking spaces. Elasticities show that the motivation of drivers to change parking type is close to their willingness to choose non-driving modes, if any parking features change. This similar willingness indicates a potential for achieving lower car use through parking restriction and improving non-driving modes. This research contributes to the home parking literature by considering residential location as a choice that is interrelated with car ownership and mode choice. We study commuters who could live and work anywhere in a region (GWR) with a diverse range of socioeconomic characteristics, parking features, and traffic conditions, in order to give results that are more realistic and comprehensive. We mitigate the endogeneity between car ownership and home parking using novel instrumental variables for home parking. Our measure for on-street parking carefully considers parking competition and quantity. Commute length is measured as commute time to better represent commuters’ perception of commute length. For work parking, we consider mode choices and parking alternatives simultaneously, and use novel demand-based measures for parking features. We expect the findings of this research will contribute to a better understanding of how parking arrangements in cities can affect commuting patterns, and how parking policies can impact urban design, land use and transport outcomes.

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Section: Resultssupporting

confidence: 84%

Estimating the impact of parking on car ownership and commute mode choices

Khazaeian¹

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“…De Jong and Van de Riet [6] emphasize the importance of household income as a key features in mode choice: higher income motivates families to use private modes for mobility, especially private car. In a more recent research, Ko et al [18] confirm the high car-dependency of high-income commuters, but highlight spatial heterogeneity as a significant attribute of commute mode choice along with the previous findings of Meurs and Haaijers [28] and Clifford et al [5].…”

Section: Introductionmentioning

confidence: 66%

Estimating commuting modal split by using the Best-Worst Method

Duleba

Moslem

Esztergár-Kiss

2021

Eur. Transp. Res. Rev.

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Method This paper endeavors to introduce a new approach to modal split estimation. In the frame of the research, a customized model of the recently created Best-Worst Method (BWM) is applied to evaluate mode choice alternatives by transport experts. The integrated BWM model is tested on a real-world case study in Budapest, the capital of Hungary, where a small number of selected experts estimate the modal split of three different groups clustered based on the distance of their commuting. Results The results clearly demonstrate the popularity of public transport among all groups, while car is estimated to be used primarily by short- and mid-distance commuters. The coherence of the responses is tested along with sensitivity analysis and rank correlation comparison. Moreover, the final results are compared to the official modal split data of the city. Recommendations Based on the findings, it can be concluded that the application of BWM results in competitive accuracy compared to the mainstream methodologies, moreover BWM needs significantly less cost and time effort during the survey procedure.

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“…Because of the small group of respondents, the variables could not be perceived as having a normal distribution. Therefore, only non-parametric tests were used, where possible [109,110]. Those can be divided into two groups: independent groups' comparison and examining relations between variables.…”

Section: Discussionmentioning

confidence: 99%

Environmental Sustainability in City Logistics Measures

Rześny-Cieplińska

Szmelter-Jarosz

2020

Energies

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Sustainable urban transport is fundamental not only for economic growth but also for the environmental protection, thus all logistics activities within the cities should be organized in a way to be environmentally friendly. The article aims at presenting the environmental sustainability of city logistics measures from different stakeholder perspectives. In the paper, a multi-method approach was implemented: literature review, text analysis, text mining, and statistical analysis. The paper presents how the stakeholders perceive urban logistics, if they see the need for coordination of its elements, who should be responsible for it, and what areas are the most important for them. The main task of this study is to recognize the priorities of different stakeholders. In consequence, the final effect of this article is an insight that is valuable not only for the local authorities but for many stakeholders, groups operating within the city that are and in many cases cooperating within the framework of creating sustainable urban mobility plans.

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Exploring factors associated with commute mode choice: An application of city-level general social survey data

Cited by 67 publications

References 27 publications

Estimating the impact of parking on car ownership and commute mode choices

Estimating the impact of parking on car ownership and commute mode choices

Estimating commuting modal split by using the Best-Worst Method

Environmental Sustainability in City Logistics Measures

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