Assessing Effects of Bus Service Quality on Passengers’ Taxi-Hiring Behavior

Wang, Hong wei; Peng, Zhong-Ren; Lu, Qing-Chang; Sun, Daniel; Bai, Cong

doi:10.3846/16484142.2016.1275786

Cited by 13 publications

(3 citation statements)

References 20 publications

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“…In Shenzhen, China, a study by Wang et al [11] has been conducted in order to assess the effects of the quality of bus service on passengers' taxi-hiring behavior based on the records from Global Position Systems (GPS) equipped taxis and buses. In this study, nonparametric, semiparametric, and parametric models have been developed.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainability assessment of public bus transportation sector in westbank, palestine

Hassouna

2023

Environ. Res. Commun.

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Urban transportation is considered one of the main sources of Greenhouse Gas (GHG) emissions. Therefore, there has been an essential need to develop a sustainable transportation system that could mitigate the environmental impacts by using high-capacity transportations modes, such as public buses. This study has aimed to assess the expected sustainability of the public bus sector in Westbank, Palestine, in case of developing this sector and increasing the number of buses to meet the minimum global requirements (number of buses/1000 population), by developing prediction models for number of buses and passenger cars. Then, the expected reduction in total travelled kilometers by passenger cars has been quantified. After that, the expected reduction in GHG emissions has been determined and the effects on traffic congestion have been investigated. After analyzing the results, the study has concluded that the public bus transport sector in Palestine suffers from the lack of number of buses compared to the number of population, with a value of 0.38 bus/1000 population, which is considered one of the lowest values among the world’s countries. Moreover, by increasing the number of buses to meet the minimum global requirement, there has been a significant expected reduction in CO2 emissions (94,628.56 ton) compared to the total CO2 emissions from other sectors in Palestine, and there has been an expected reduction in traffic congestion up to 5.84 %.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainability assessment of public bus transportation sector in westbank, palestine

Hassouna

2023

Environ. Res. Commun.

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“…Global Position System (GPS) data enables the simultaneous analysis of spatial and temporal patterns in traffic information. While Global Position System (GPS) data collected from vehicles and mobile phones has become increasingly popular, among which taxi GPS data is preferable because of its exhaustive coverage of the road network, high frequency and the acquisition convenience (Ding et al, 2014;Wang, Peng, Lu, Sun, & Bai, 2017). In general, no fixed definitions were proposed for the level of congestion, while travel speed is the most commonly used indicator for traffic congestion assessments (He, Yan, Liu, & Ma, 2016).…”

Section: Analyzing Spatiotemporal Congestion Pattern On Urban Roads Based On Taxi Gps Datamentioning

confidence: 99%

Analyzing Spatiotemporal Congestion Pattern on Urban Roads Based on Taxi GPS Data

Zhong

Sun

2022

Logic-Driven Traffic Big Data Analytics

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With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relationship between traffic congestion and built environment, including traffic-related factors and land use. Fuzzy C-means clustering was used to conduct an exhaustive study on the 24-hour congestion pattern of road segments in an urban area, so that the spatial autoregressive moving average model (SARMA) could be introduced to analyze the output from the clustering analysis to establish the relationship between built environment and the 24hour congestion pattern. The clustering result classified the road segments into four congestion levels, while the regression explained the impact of 12 traffic-related factors and land-use factors on the road congestion pattern. The continuous congestion was found to mainly occur in the city center, and the factors, such as road type, bus station in the vicinity, ramp nearby, commercial land use, and so on, had large impacts on congestion formation. The Fuzzy C-means clustering is proposed to be combined with quantitative spatial regression, and the overall evaluation process will assist to assess the spatial-temporal levels of service regarding traffic from the congestion perspective.

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“…With rapid urban spatial expansion and traffic facility development, the quantity and structure of traffic flows are experiencing great changes. Traffic demand and the relationships between different traffic modes have drawn much attention [5][6][7]. However, there has been no conclusion on whether there is competition or cooperation between subways and taxis.…”

Section: Introductionmentioning

confidence: 99%

Mining Multimodal Travel Mobilities with Big Ridership Data: Comparative Analysis of Subways and Taxis

Zhang,

Cui,

Jia

2024

Sustainability

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Understanding traveler mobility in cities is significant for urban planning and traffic management. However, most traditional studies have focused on travel mobility in a single traffic mode. Only limited studies have focused on the travel mobility associated with multimodal transportation. Subways are considered a green travel mode with large capacity, while taxis are an energy-consuming travel mode that provides a personalized service. Exploring the relationship between subway mobility and taxi mobility is conducive to building a sustainable multimodal transportation system, such as one with mobility as a service (MaaS). In this study, we propose a framework for comparatively analyzing the travel mobilities associated with subways and taxis. Firstly, we divided taxi trips into three groups: competitive, cooperative, and complementary. Voronoi diagrams based on subway stations were introduced to divide regions. An entropy index was adopted to measure the mix of taxi trips. Secondly, subway and taxi trip networks were constructed based on the divided regions. The framework was tested based on the automatic fare collection (AFC) data and global positioning system (GPS) data of a subway in Beijing, China. The results showed that the proportions of taxi competition, taxi cooperation, and taxi complements were 9.1%, 35.6%, and 55.3%, respectively. The entropy was large in the central city and small in the suburbs. Moreover, it was found that the subway trip network was connected more closely than the taxi network. However, the unbalanced condition of taxis is more serious than that of the subway.

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Assessing Effects of Bus Service Quality on Passengers’ Taxi-Hiring Behavior

Cited by 13 publications

References 20 publications

Sustainability assessment of public bus transportation sector in westbank, palestine

Sustainability assessment of public bus transportation sector in westbank, palestine

Analyzing Spatiotemporal Congestion Pattern on Urban Roads Based on Taxi GPS Data

Mining Multimodal Travel Mobilities with Big Ridership Data: Comparative Analysis of Subways and Taxis

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