Empirical examination of neighborhood context of individual travel behaviors

Kim, Changjoo; Wang, Shujie

doi:10.1016/j.apgeog.2014.10.017

Cited by 20 publications

(7 citation statements)

References 34 publications

(39 reference statements)

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“…The probability of using BRT was found to be highest in the age group between 18 and 23, which also explains why university trips were one of the most important anticipated trip purposes for BRT. The outcome was similar in Kim and Wang’s ( 71 ) study of the factors affecting travel behavior at the individual and neighborhood levels, which demonstrated using multilevel regression that the probability of using a car increased as people’s ages and incomes increased.…”

Section: Discussionsupporting

confidence: 66%

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

Mujalli

Alawadi

Al-Kasasbeh

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Public transportation services often face challenges in middle- and low-income nations from both public acceptance and economic constraints. Jordan is classified as a middle-income country with a population of over 10 million, 4 million of whom live in Amman, the capital. The development and operation of a bus rapid transit (BRT) system in Amman city was recently proposed. The BRT project is anticipated to offer a solution to the city’s escalating congestion problem. This study’s objective is to conduct a “before” analysis to identify the variables that affect the willingness of people to use the Amman BRT system. The socioeconomic characteristics and travel habits of individuals were used to model the willingness to use BRT. An online survey was distributed to Amman residents and 238 valid responses were returned. Two popular techniques were utilized: binary logistic regression and Bayesian networks. Ten models were developed: one binary logistic model and nine Bayesian network models. The results of these models were compared based on accuracy, sensitivity, specificity, area under the Receiver Operating Characteristic (ROC) curve, complexity, and number of selected variables. It was found that Bayesian networks were more effective in modeling willingness to use BRT. Willingness to use BRT was shown to be higher among households without cars, youths, females, and university students, and if there were fewer transfers along the route. It became clear that introducing a new public transportation system is well appreciated, particularly in areas with low income, insufficient existing public transportation services, and where driving a car is the norm.

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Section: Discussionsupporting

confidence: 66%

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

Mujalli

Alawadi

Al-Kasasbeh

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…It has been confirmed, as in the works of Feng et al [49] and Kim and Wang [50], that variables related to the individual's neighbourhood context, as in, among others, travel distance and medical coverage, have a greater influence on senior tourist mobility patterns than do sociodemographic variables. Furthermore, culture and nationality are the factors that most influence attitudes, beliefs and behaviours ( Özdemir and Yolal [15]), while they becoming key elements in the design of tourism marketing products, facilitating the standardisation of elements common to all markets and the customization or individualisation of others at the local level.…”

Section: Discussionmentioning

confidence: 71%

Spatial heterogeneity in Spain for senior travel behavior

et al. 2019

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Every time, the travel patterns are becoming more di erentiated, in uenced by new variables resulting from changes in lifestyle. The relevance of the senior segment for the industry, with the continuous population aging, and their economic status, made this segment very attractive group for the sector, and more in a country as Spain characterized by its aging. The spatial e ects are being considered as a key element to understand this process, but there are only a few number of researches focusing on cross-cultural in uences and the neighbourhood context. For this purpose, the technique of Geographically Weighted Principal Component Analysis (GWPCA) is applied in a novel way for the sector, showing di erent behaviour patterns according to area of origin. The GWPCA is a localized version of Principal Component Analysis (PCA) used when there is a certain spatial heterogeneity in the structure of a multivariate data set. The results con rm that GWPCA is an e ective statistic methodology to research the spatial heterogeneity for travel behaviour, with clearly di erentiated scenarios for the north, centre and south of Spain.

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“…The literature includes a large volume of empirical research on the effect of income on households' decisions in holding and using vehicles. Evidence from the existing literature shows that income is a widely used indicator of a household's ownership and mode share (14)(15)(16)(17)(18)(19).…”

Section: Literaturementioning

confidence: 99%

“…Apart from income, determinants of mode choice have been identified by demographic characteristics, trip characteristics, and the built environment. More specifically, demographic characteristics include gender, age, occupation, and household size (16,(20)(21)(22). Trip characteristics involve trip length, travel time, travel cost, and trip purpose (23)(24)(25).…”

Section: Literaturementioning

confidence: 99%

Discrete/Continuous Model for Motorcycle Ownership and Utilization Across Income Groups in a Vietnamese Medium-Sized Motorcycle-Dependent City

Ngoc

Nishiuchi

2023

Transportation Research Record: Journal of the Transportation R

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Understanding vehicle choice and utilization is increasingly considered in addressing motorcycle-related challenges by policymakers. However, the linkage between the discrete-continuous decisions has not been examined across income groups. This study measures the interdependence between vehicle choice and utilization for income groups in a Vietnamese medium-sized city. Model estimation results show that contributing factors to households’ motorcycle ownership include individual and household characteristics and some aspects of the built environment. However, differences exist in motorcycle ownership and utilization between low- and medium-income groups. Results from this study may suggest that households may be more likely to buy an extra motorcycle as their incomes increase and this may generate more motorcycle-related issues in the future. On the positive side, we found that the non-motorized mobility resources available in the low-income group played a key role in reducing motorcycle ownership and usage. Therefore, we suggest that medium-sized cities should develop cycling infrastructure to facilitate the mobility of low-income groups as well as promote well-established travel behavior from cyclists; then, they may be less willing to switch to motorized vehicles as their income increases.

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Empirical examination of neighborhood context of individual travel behaviors

Cited by 20 publications

References 34 publications

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

Spatial heterogeneity in Spain for senior travel behavior

Discrete/Continuous Model for Motorcycle Ownership and Utilization Across Income Groups in a Vietnamese Medium-Sized Motorcycle-Dependent City

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