scholarly journals Understanding Electric Bicycle Users’ Mode Choice Preference under Uncertainty: A Case Study of Shanghai

2022 ◽  
Vol 14 (2) ◽  
pp. 925
Author(s):  
Feifei Xin ◽  
Yifan Chen ◽  
Yitong Ye
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Mode Choice ◽  
Long Distance ◽  
Choice Preference ◽  
Transportation Modes ◽  
Electric Bicycle ◽  
Private Car ◽  
Public Transportation System

The electric bicycle is considered as an environmentally friendly mode, the market share of which is growing fast worldwide. Even in metropolitan areas which have a well-developed public transportation system, the usage of electric bicycles continues to grow. Compared with bicycles, the power transferred from the battery enables users to ride faster and have long-distance trips. However, research on electric bicycle travel behavior is inadequate. This paper proposes a cumulative prospect theory (CPT) framework to describe electric bicycle users’ mode choice behavior. Different from the long-standing use of utility theory, CPT considers travelers’ inconsistent risk attitudes. Six socioeconomic characteristics are chosen to discriminate conservative and adventurous electric bicycle users. Then, a CPT model is established which includes two parts: travel time and travel cost. We calculate the comprehensive cumulative prospect value (CPV) for four transportation modes (electric bicycle, bus, subway and private car) to predict electric bicycle users’ mode choice preference under different travel distance ranges. The model is further validated via survey data.

scholarly journals By Using Model Shift and Improving The Walking Facilities: A Case Study In Kuala Lumpur, Malaysia

2014 ◽  
Vol 3 (4) ◽  
pp. 184
Author(s):  
Ali A Mohammed
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Cost Reduction ◽  
Kuala Lumpur ◽  
Private Car ◽  
Spss Software ◽  
Privately Owned ◽  
Main Attraction

The recent increase in privately owned vehicles has caused numerous problems: traffic congestions, unnecessary fuel lost and global warming are only few of these problems. This study will try to understand people’s behavior and modal choice and try to sway them to means of public transportation. A survey of mode choice between cars users in a neighborhood in Kuala Lumpur was conducted. A total of 25 surveys were collected over the course of a month. Among data collected were demographic details such as age, gender, educational level and travel behavior. The data was processed by SPSS software to determine which factors encourages and discourages using private, public transportation or walking. The study highlighted four models travel time reduction, travel cost reduction, and increase the parking charges and improves the walking facility. The sensitivity analysis results show that the main attraction that might switch private car users is travel time and improving the walking facility. The consequences of these would be less traffic on the roads contributing to less pollution and greater safety.

Peluang Transportasi Publik dalam Pangsa Pasar Pengguna Akses Darat Bandara Soekarno-Hatta

WARTA ARDHIA ◽  
2013 ◽  
Vol 39 (4) ◽  
pp. 259-280
Author(s):  
Tito Yusmar
Keyword(s):  
Public Transportation ◽  
Negative Impact ◽  
Mode Choice ◽  
Air Transportation ◽  
Walking Distance ◽  
Transportation Mode ◽  
Road Congestion ◽  
Mode Share ◽  
Private Car

The growth of air transportation gives negative impact in its ground access system in which the flow of people who accessing the airport creates road congestion. This problem is also supported with the highly dependence of people on private car use and leave public transport as unattractive mode to be used in accessing the airport. This research attempts to find out which travel attributes of transportation mode that influence the mode choice of people who accessing the airport as the ground access users. Taking one case study at Soekarno-Hatta International Airport in Jakarta, Indonesia, the data are collected from this airport through survey process. Further, the statistical methods are conducted to get the results. Six determined travel attributes; cost, travel time, walking distance, ease of transfer, ease of carrying luggage and comfort, significantly influence and give differences on the user’s mode choice in which four of them; walking distance, ease of transfer, ease of carrying luggage and comfort, are being perceived very satisfactory for car. The research concludes with potential steps in improving public transportation which give access to the airport that might help attract more people to use it and increase its mode share. Pertumbuhan transportasi udara membawa dampak negatif bagi jalur akses darat menuju bandara dimana kepadatan dan kemacetan jalan semakin meningkat seiring bertambahnya jumlah orang yang mengakses bandara. Permasalahan ini turut didukung oleh tingginya ketergantungan masyarakat dalam menggunakan kendaraan pribadi sementara transportasi publik hanya menjadi alternatif yang dinilai tidak menarik untuk digunakan. Penelitian ini bertujuan untuk mencari dan menilai atribut perjalanan dari moda transportasi yang digunakan untuk mengakses bandara yang memengaruhi pilihan moda pengguna akses darat bandara. Dengan mengambil satu studi kasus di bandara internasional Soekarno-Hatta di Jakarta, Indonesia, survey dilakukan sebagai proses pengumpulan data. Enam atribut perjalanan, yaitu biaya, waktu tempuh, jarak berjalan, kemudahan transfer, kemudahan membawa barang bawaan, dan kenyamanan, secara signifikan memengaruhi dan memberikan perbedaan terhadap pemilihan moda dimana empat atribut diantaranya, yaitu jarak berjalan, kemudahan transfer, kemudahan membawa barang bawaan, dan kenyamanan, dinilai sangat memuaskan untuk moda mobil pribadi. Kesimpulan dari penelitian ini mendorong langkah-langkah potensial dalam meningkatkan daya saing transportasi publik yang digunakan untuk mengakses bandara sehingga dapat menarik lebih banyak pengguna dan meningkatkan pangsa pasarnya.

scholarly journals Mode Choice Analysis for Commuters in Metropolitan Region A-Case Study of Bogor City, Indonesia

2019 ◽  
pp. 153-162
Author(s):  
Hardiyani Puspita Sari ◽  
Lukytawati Anggraeni ◽  
Yeti Lis Purnamadewi
Keyword(s):  
Public Transportation ◽  
Multinomial Logistic Regression ◽  
Metropolitan Region ◽  
Choice Analysis ◽  
Transportation Modes ◽  
Private Car ◽  
Work Commute ◽  
The Government

The congestion of Bogor City is increasingly alarming that it urgently needs policies on transportation system. This study used crosstab analysis and multinomial logistic regression to analyze the behavior of choice of commuter modes in Bogor City. This study had 588 respondents. The selected-by-subdistrict results showed that gender, total income, private car ownership, motorcycle ownership, trip cost, distance traveled, work commute and distance to the terminal affect the choices of Bogor’s public transportation modes. As for the implications given in this study, the government is expected to add and renew infrastructure such as stations and shelters. The government is also expected to develop inexpensive public transportation that offers good quality of security and convenience.

Understanding Young Commuters’ Mode Choice Decision to Use Private Car or Public Transport from an Extended Theory of Planned Behavior

2020 ◽  
pp. 036119812096793
Author(s):  
Farhana Ahmed ◽  
John Catchpole ◽  
Thiruni Edirisinghe
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Public Transportation ◽  
Travel Behavior ◽  
Mode Choice ◽  
Linear Regression Analysis ◽  
Binary Logistic Regression ◽  
Private Car ◽  
Commuting Mode ◽  
Travel Decisions

The research examines young commuters’ (age 18–25 years) decision-making process in choosing a mode to commute. The study presented here characterized young commuters’ travel decisions in relation to choosing to use a private car or public transportation for commuting travel. To contribute to greater understanding, the theory of planned behavior (TPB) was used to investigate commuting mode choice, particularly from a social-psychological perspective. Disaggregated travel data was collected from an in-depth survey of young commuters ( n = 3171) who lived in inner and metropolitan Melbourne, Australia. Respondents were clustered based on their usual commuting mode (private car or public transportation). The questionnaire was designed to capture information on young commuters’ attitudes toward their commuting mode, social environment, and travel behavior. Linear regression analysis and binary logistic regression were used to predict intention to choose a commuting mode and the actual mode choice, respectively. Results suggest that young commuters who used a private car held a positive attitude toward the mode. On the contrary, public transportation users had few positive beliefs about commuting by public transportation. Convenience and flexibility were the most valued advantages that the private car offers as a commuting mode. For public transportation users, reliability of the commuting mode was more important than other factors, but they did not agree that public transportation provides reliability. The paper includes a discussion on how the implications of these results can influence government policies and strategies in an effort to increase commuting by public transportation.

scholarly journals The impacts of mediating the work environment on the mode choice in work trips

2021 ◽  
Vol 11 (1) ◽  
pp. 592-605
Author(s):  
Melchior Bria ◽  
Ludfi Djakfar ◽  
Achmad Wicaksono
Keyword(s):  
Work Environment ◽  
Public Transportation ◽  
Travel Behavior ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Rapid Transit ◽  
Long Time ◽  
Socio Economic Variables ◽  
The Relationship

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.

A TWO-PHASED FUZZY MULTICRITERIA SELECTION AMONG PUBLIC TRANSPORTATION INVESTMENTS FOR POLICY-MAKING AND RISK GOVERNANCE

2012 ◽  
Vol 20 (supp01) ◽  
pp. 31-48 ◽  
Author(s):  
İHSAN KAYA ◽  
BAŞAR ÖZTAYŞI ◽  
CENGIZ KAHRAMAN
Keyword(s):  
Public Transportation ◽  
Capital Investment ◽  
Transportation Policy ◽  
Rolling Stock ◽  
Risk Governance ◽  
Second Phase ◽  
Transportation Modes ◽  
The Social ◽  
Transportation Type

Public transportation can be viewed as a key determinant and consequence of the social and spatial formation and development of contemporary cities and regions. Transportation policy generally combines four categories of instruments, i.e., investment, pricing, regulation and subsidy, to generate viable alternatives. Capital investment in public transportation supports the purchase of equipment and facilities including rolling stock, tracks, control equipment, and the construction of terminals, stations, parking lots, maintenance facilities and power generating facilities. Risk governance for public transportation investments looks at how risk-related decision-making unfolds when a range of actors is involved, requiring co-ordination and possibly reconciliation between a profusion of roles, perspectives, goals and activities. In this paper, a two-phased multicriteria methodology is proposed to select the best investment alternative for public transportation with respect to the predetermined criteria. In the first phase, a selection among transportation types is made, and in the second phase, a selection among transportation modes of the selected transportation type is made. A case study for Istanbul is given in the application section.

A Study on the Transportation Mode Choice Behaviour of Individuals With Different Socio-Economic Status

2018 ◽  
pp. 476-493
Author(s):  
Arun Bajracharya
Keyword(s):  
Public Transportation ◽  
Economic Status ◽  
Mode Choice ◽  
Lower Class ◽  
Upper Class ◽  
Choice Behaviour ◽  
Transportation Mode ◽  
Socio Economic Status ◽  
Private Car ◽  
Transportation Mode Choice

This chapter presents a study on the transportation mode choice behaviour of individuals with different socio-economic status. A previously developed system dynamics model has been adopted by differentiating the population mass into upper, middle, and lower classes. The simulation experiments with the model revealed that generally the upper class individuals would be more inclined to use a private car (PC) instead of public transportation (PT) when their tendency is compared to middle and lower class individuals. It was also observed that lower class individuals would be more willing to use PT instead of PC when their tendency is compared to middle and upper class individuals. As such, it would be difficult to encourage the upper class individuals to use PT instead of PC, and it would be successively easier to do so in the case of middle and lower class individuals. However, the results also indicated that under certain different circumstances, the upper class individuals would also prefer to go for PT, and the lower class ones could prefer to own and use PC instead of PT.

scholarly journals Effect of socioeconomic and latent variables in vehicle ownership: A case study of Agartala city, India

2017 ◽  
Vol 7 (1.1) ◽  
pp. 472
Author(s):  
Amitabha Acharjee ◽  
Partha Pratim Sarkar ◽  
Joyanta Pal
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Latent Variables ◽  
Structural Equation ◽  
Car Ownership ◽  
Vehicle Ownership ◽  
Socioeconomic Variables ◽  
Equation Modelling ◽  
Two Wheeler

On the whole, car ownership is regarded as an imperative variable in travel behavior research. Car and motorcycle ownership are increasing rapidly in developing countries leading to an unsustainable developments. Using a data of 584 respondents from the Agartala city randomly collected, a model has been prepared to understand vehicle ownership for both car and motorized two wheeler mode (MTW). Latent variables along with socioeconomic variables such as monthly income, gender, age were used for modeling vehicle ownership using structural equation modelling. Latent variables used in this study, flexibility (Motorized Two wheeler), Negative public transportation perception and comfort (car) were found to be significant in the model. Our result suggests apart from socioeconomic variables, latent variables also explains vehicle ownership model.

scholarly journals ANALYSIS OF THE OPERATIONAL DATA OF A PUBLIC TRANSPORTATION SYSTEM: A CASE-STUDY OF THE BUS RAPID TRANSIT (BRT), LAGOS STATE, NIGERIA

2020 ◽  
pp. 87-97
Author(s):  
OLUFIKAYO OLUWASEUN ADERINLEWO ◽  
Gbemileke Adekunle Akinyemi ◽  
Abayomi Afolayan ◽  
Abayomi Modupe
Keyword(s):  
Waiting Time ◽  
Public Transportation ◽  
Transportation System ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Lagos State ◽  
Public Transportation System ◽  
Bus Stops ◽  
Operational Data

This paper assesses the operational data of a public transportation system, using the Bus Rapid Transit in Lagos State as a case study. Demographic data was collected through the administration of questionnaires to the commuters; this was carried out to observe variations in the population of the commuters from different perspectives. Some other categories of data were collected which include boarding and alighting, headway, arrival rate of commuters, waiting time of commuters and travel time data. These data were presented and analysed with MS Excel and Minitab statistical softwares. Results from the boarding and alighting data showed bus stops with high flux of commuters, these were at Ojota, Ketu, Mile 12, Costain, CMS and TBS. Probability distribution charts were prepared to analyze the remaining sets of data. This was carried out to study the distribution and consistency of the data. Coefficients of variation for the data were also estimated to study the variability of the data. From the study, the data followed normal distribution and they were consistent such that they can be used for further analysis of the system. It can be concluded that the distribution depicts the real situation at the study location. Thus, bus stops with high density of commuters should be provided with more buses so as to reduce the waiting time of commuters.

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