Cumulative Impacts of Carsharing and Unbundled Parking on Vehicle Ownership and Mode Choice

2012 ◽  
Vol 2319 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Jessica ter Schure ◽  
Francesca Napolitan ◽  
Rick Hutchinson
Keyword(s):  
Mode Choice ◽  
Cumulative Impacts ◽  
Vehicle Ownership

scholarly journals Relationship between train users’ perceptions of walkability with access and egress mode choice

2018 ◽  
Vol 147 ◽  
pp. 02004 ◽  
Author(s):  
Romeiza Syafriharti ◽  
B. Kombaitan ◽  
Iwan P. Kusumantoro ◽  
Ibnu Syabri
Keyword(s):  
Built Environment ◽  
Mode Choice ◽  
Control Variable ◽  
Walking Distance ◽  
Vehicle Ownership ◽  
Control Variables ◽  
Gender And Age ◽  
Access Mode ◽  
Motorcycle Taxi ◽  
The Relationship

The purpose of this study is to understand whether there is a relationship between train users’ perceptions of walkability in built environment of trip origin with access mode choice and between train users’ perceptions of walkability in built environment of trip destination with egress mode choice. Train users are who ride from Cicalengka station Bandung Regency, West Java, Indonesia. To analyze the relationship is used crosstab method. The perceptual factors about walkability are those perceived by the train users consisting of walking distance, safety, comfort, and secure from crime, both in origin and destination of the built environment. The mode choice consist of walking, paratransit, motorcycle taxi, and own vehicles (or others for egress mode). To better understand the relationship is used several control variables, that are trip purposes, train usage, gender, and age. For access trip there is another control variable, that is vehicle ownership. Train users' perceptions of walkability have a relationship with both the access and the egress mode choice, except for the security aspect. The influence of control variables on the relationship between perceptions of walkability with access/egress mode choice varies for walking distance, safety, and comfort.

scholarly journals Revealed Preference Analysis for Mode Choice in Graduate Level Engineering Students of Kathmandu Valley

2021 ◽  
Vol 6 ◽  
pp. 89-98
Author(s):  
Piyush Chataut ◽  
Pradeep Kumar Shrestha
Keyword(s):  
Public Transportation ◽  
Engineering Students ◽  
Mode Choice ◽  
Revealed Preference ◽  
Demand Analysis ◽  
Kathmandu Valley ◽  
Vehicle Ownership ◽  
Graduate Level ◽  
Revealed Preference Analysis ◽  
Selection Of

Proper planning which is the key element in ensuring infrastructure efficiency, relies on demand analysis. Among the various trips under the domain of demand analysis educational trips occupy a significant part and hence the knowledge about patterns and attitudes of these trips is important to policymakers and infrastructure planners. The current study analyzes the mode choice of graduate-level engineering students in Kathmandu valley where the current transportation system is facing multiple problems thus requiring a proper planning intervention. This study reveals the educational mode preference among the students of engineering colleges. The reveal preference survey was conducted at the various engineering colleges in Kathmandu valley. The study concludes that the travel distance, number of siblings, and vehicle ownership effects the selection of personal modes of transport and distance effects the selection of public transportation, walking option being base criteria for both the cases. It is recommended that existing walking conditions should be improved within the educational zones while public transport which are preferred options for long journeys be designed considering movement between zones.

scholarly journals MODELLING TRAVELLER’S GROUND ACCESS MODE CHOICE OF DUBAI INTERNATIONAL AIRPORT, UNITED ARAB EMIRATES

2019 ◽  
Vol 10 (1) ◽  
pp. 87-109
Author(s):  
Khaula Alkaabi
Keyword(s):  
United Arab Emirates ◽  
Public Transportation ◽  
Mode Choice ◽  
Binary Logistic Regression ◽  
Vehicle Ownership ◽  
Main Mode ◽  
Logistic Regression Models ◽  
International Airport ◽  
Access Mode ◽  
Using Data

With increased demand for air travel, airports have become economic engines of the regional development that connect aviation systems with other modes of transportation facilitating the movement of people and cargo. Originating air passengers account for the majority of passenger trips to and from an airport and have different ground access needs. Since the air transportation is interrelated to ground transportation, studying ground access mode choice of airport users is a crucial part of airport management and system planning. The purpose of this study is to identify Dubai International Airport (DXB) ground access mode characteristics and users located in the United Arab Emirates (UAE), which has not been studied previously. Although there are many different modes of transportation serving the airport, yet personal vehicles are the main mode used to arrive to the airport. Binary logistic regression models are developed to evaluate access mode choice for originating air travelers focusing on the mix between private vehicle and public transportation system (taxi, limousine, bus network, and Dubai metro) using data collected specifically for this study. A total of 1012 air travelers were interviewed and completed the questionnaire in December 2014. Models result showed that access mode choice is significantly affected by different socio-economic characteristics of travelers including income, nationality, household size, vehicle ownership; and different trip characteristics that include number of travelers and how often air travelers use public ransportation in their community.

Joint Model of Sustainable Mode Choice for Commute, Shift Potential and Alternative Mode Chosen

2021 ◽  
pp. 036119812110179
Author(s):  
Ganesh Ambi Ramakrishnan ◽  
Karthik K. Srinivasan ◽  
Aupal Mondal ◽  
Chandra R. Bhat
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Mode Choice ◽  
State Dependence ◽  
Probit Model ◽  
Three Dimensions ◽  
Vehicle Ownership ◽  
Mode Iii ◽  
Alternative Mode ◽  
Work Commute

Rising traffic congestion and severe air pollution in urban areas have led policymakers to find appropriate strategies to encourage the use of sustainable modes. In this context, this paper investigates three choice dimensions related to the work commute travel: (i) Whether and to what extent are sustainable modes considered? (ii) What factors influence the propensity to shift from the primary work commute mode? (iii) Which mode is most likely to be chosen conditional on the decision to shift? These dimensions are analyzed using data of workers from Chennai, India. As the three choices of an individual may be correlated and mutually endogenous because of common and persistent psychological attributes and modal service characteristics, they are modeled using a multi-dimensional probit model. The results show significant evidence of endogeneity, state-dependence, and unobserved correlation across these dimensions leading to significant improvement in fit measures. The results show that perceptions of walkability and environmental impacts of travel modes affect only the consideration of sustainable modes, while vehicle ownership and accessibility to transit affect all three dimensions. Four different behavioral motivations for the decision to shift from the usual mode: dissatisfaction with service attributes, activity constraints, multimodal travel pattern, and inertia, were identified. The mode to which shift occurs is influenced by household vehicle fleet (number and type), exclusive availability to the given decision-maker, and work distance. The insights from this study can be used to identify suitable factors and frame policies to promote sustainable mode choice at various levels.

scholarly journals Analysing the factor influencing travel pattern and mode choice based on household interview survey data: a case study of Dhaka city, Bangladesh

2020 ◽  
Vol 109 ◽  
pp. 153-162
Author(s):  
Faysal Ibna RAHMAN
Keyword(s):  
Mode Choice ◽  
Household Survey ◽  
Peak Time ◽  
Dhaka City ◽  
Vehicle Ownership ◽  
Travel Pattern ◽  
Gender Education ◽  
Mode Share ◽  
Interview Survey ◽  
Household Interview

For transport planning and policy-making, visualising the relationship among attributes; gender, education, occupation, age with travel pattern and mode choice is important. Household Interview Survey (HIS) is one of the major inputs in transport study which contains information about travel and demographic characteristics. From the analysis of 28,235 households in Dhaka city, this study represents the social demographic characteristic of Dhaka city based on the household survey. It was found that 89.79% of dwellers make double trips in a day and the trip rate per trip maker is 2.16, where 14% of total trips are generated at morning peak time between 7 to 8 am. The bus is the most preferable mode share and its contribution is about 35%. The scenario changed in a multimodal trip case and walking was the domination mode share with about 45% of total trips. Vehicle ownership had a vital rule in particular mode choice, especially in car and motorcycle household ownership case. Significant impact on travel patterns and mode choice criteria was found with gender, education, occupation, age, household income, trip purpose and time and vehicle ownership, which can help to formulate the strategic plan to solve the transport-related problem in Dhaka.

scholarly journals THE INFLUENCE OF SOCIOECONOMIC STATUS ON THE MODES CHOICE OF TRANSPORTATION IN MANADO CITY

2022 ◽  
pp. 1-8
Author(s):  
Tampanatu Parengkuan Fransiscus Sompie
Keyword(s):  
Socioeconomic Status ◽  
Public Transportation ◽  
Multinomial Logistic Regression ◽  
Mode Choice ◽  
Vehicle Ownership ◽  
Validity And Reliability ◽  
Transportation Mode ◽  
Multinomial Logistic Regression Analysis ◽  
Questionnaire Surveys ◽  
Transportation Mode Choice

Good infrastructure and transportation facilities move people and goods take place safely and economically in terms of time and cost. The trips made by people on weekdays or weekends affect environmental conditions in the area. The purpose of this paper is to find out the influence of socioeconomic status on modes choice of transportation both on weekdays and weekends. The study location is in Manado Municipality. There are 3 (three) modes of transportation reviewed, i.e. private cars, motorcycles, and public transportation. Indicators of socioeconomics status of transportation users are age, education, occupation, income, number of family members, and vehicle ownership. Data regarding the modes of transportation and socioeconomic status of travelers were obtained through questionnaire surveys. SEM-AMOS was used to measure the validity and reliability of the data. The probability of the mode choice on weekdays and weekends was analyzed using multinomial logistic regression analysis. The results showed that the socioeconomic status of the traveler has an influence on the mode choice of transportation by 49.2% on weekends and 49.5% on weekdays. Furthermore, the probability of transportation mode choice on weekends is the car by 88.4%, and on weekdays is motorcycles by 71.6%.

scholarly journals Modeling and Predicting Commuters' Travel Mode Choice in Lahore, Pakistan

2021 ◽  
Vol VI (III) ◽  
pp. 106-118
Author(s):  
Fariha Tariq ◽  
Nabeel Shakeel
Keyword(s):  
Nearest Neighbor ◽  
Mode Choice ◽  
Multinomial Logit Model ◽  
Vehicle Ownership ◽  
K Nearest Neighbor ◽  
Choice Behaviour ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
Different Types ◽  
Wide Scale

The travel mode preference exists in both culture and theenvironment. The wide scale of people's mobility makesour cities more polluted and congested, eventually affecting urban assets.Understanding people’s mode choice is important to develop urbantransportation planning policies effectively. This study aims to model andpredict the commuter’s mode choice behaviour in Lahore, Pakistan. A surveywas conducted, and the data was used for model validation. Thecomparative study was further done among multinomial logit model (MNL),Random Forest (RF), and K-Nearest Neighbor (KNN) classificationapproaches. It’s common in existing studies that vehicle ownership is rankedas the most important among all features impacting commuters’ travel modechoice. Since many commuters in Lahore own no vehicle, it’s unclear whatthe rank of factors impacting non-vehicle owners is. Other than thecomparison of predicting the performance of the methods, our contributionis to do more analysis of the rank of factors impacting the different types ofcommuters. It was observed that occupation is ranked as the most importantamong all features for non-vehicle owners.

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