scholarly journals Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

2019 ◽  
Vol 11 (3) ◽  
pp. 808 ◽  
Author(s):  
Irfan Ullah ◽  
Kai Liu ◽  
Tran Vanduy
Keyword(s):  
Traffic Congestion ◽  
Logit Model ◽  
Urban Areas ◽  
Stated Preference ◽  
Ghg Emissions ◽  
Multinomial Logit Model ◽  
Demographic Characteristics ◽  
Car Ownership ◽  
Nested Logit ◽  
Car Sharing

In recent years, car sharing has emerged as a novel alternative to private car ownership in urban areas worldwide. Potential benefits of this system include improved mobility and reduced congestion, vehicle ownership, parking issues, and greenhouse gas (GHG) emissions. This study aimed to investigate travelers’ acceptance of car sharing systems through a stated preference survey in the city of Peshawar, Pakistan. The questionnaires were distributed online via a Google form. Questions were designed from numerous aspects of car sharing systems, such as awareness of car sharing systems, attributes related to travel modes in the choice set, and demographic characteristics. A total of 453 valid responses were received. The Multinomial and Nested Logit models were employed for evaluation and analysis of survey responses. Demographic characteristics including gender, job, and income were found to be significant. Service attributes including travel time, travel cost, registration fees, and capital cost, were also significant. The multinomial logit model based on both car-owners and non-car-owners fit a little better than the nested logit model. Our findings in the present study could be beneficial for transport planners and policy makers to timely implement car sharing systems in cities in order to mitigate increased car ownership and traffic congestion.

scholarly journals Car Sharing as a Strategy to Address GHG Emissions in the Transport System: Evaluation of Effects of Car Sharing in Amsterdam

2021 ◽  
Vol 13 (4) ◽  
pp. 2418
Author(s):  
Ana María Arbeláez Vélez ◽  
Andrius Plepys
Keyword(s):  
Ghg Emissions ◽  
Transport Systems ◽  
Car Ownership ◽  
Low Carbon ◽  
Car Sharing ◽  
Shared Mobility ◽  
Before And After ◽  
Business To Consumer ◽  
The City ◽  
Carbon Transport

Shared mobility options, such as car sharing, are often claimed to be more sustainable, although evidence at an individual or city level may contradict these claims. This study aims to improve understanding of the effects of car sharing on transport-related emissions at an individual and city level. This is done by quantifying the greenhouse gas (GHG) emissions of the travel habits of individuals before and after engaging with car sharing. The analysis uses a well-to-wheel (WTW) approach, including both business-to-consumer (B2C) and peer-to-peer (P2P) car-sharing fleets. Changes in GHG emissions after engaging in car sharing vary among individuals. Transport-related GHG emissions caused by car-free individuals tend to increase after they engage in car sharing, while emissions caused by previous car owners tend to fall. At the city level, GHG emissions savings can be achieved by using more efficient cars in sharing systems and by implementing greener mobility policies. Changes in travel habits might help to reduce GHG emissions, providing individuals migrate to low-carbon transport modes. The findings can be used to support the development and implementation of transport policies that deter car ownership and support shared mobility solutions that are integrated in city transport systems.

scholarly journals The Effects of Life Course Events on Car Ownership and Sustainable Mobility Tools Adoption Decisions: Results of an Error Component Random Parameter Logit Model

2021 ◽  
Vol 13 (12) ◽  
pp. 6816
Author(s):  
Gaofeng Gu ◽  
Tao Feng ◽  
Chixing Zhong ◽  
Xiaoxi Cai ◽  
Jiang Li
Keyword(s):  
Life Course ◽  
Logit Model ◽  
Random Parameter ◽  
Error Component ◽  
Car Ownership ◽  
Sustainable Mobility ◽  
Car Sharing ◽  
Random Parameter Logit ◽  
Electric Bike ◽  
Random Parameter Logit Model

Life course events can change household travel demand dramatically. Recent studies of car ownership have examined the impacts of life course events on the purchasing, replacing, and disposing of cars. However, with the increasing diversification of mobility tools, changing the fleet size is not the only option to adapt to the change caused by life course events. People have various options with the development of sustainable mobility tools including electric car, electric bike, and car sharing. In order to determine the impacts of life course events on car ownership and the decision of mobility tool type, a stated choice experiment was conducted. The experiment also investigated how the attributes of mobility tools related to the acceptance of them. Based on existing literature, we identified the attributes of mobility tools and several life course events which are considered to be influential in car ownership decision and new types of mobility tools choice. The error component random parameter logit model was estimated. The heterogeneity across people on current car and specific mobility tools are considered. The results indicate people incline not to sell their current car when they choose an electric bike or shared car. Regarding the life course events, baby birth increases the probability to purchase an additional car, while it decreases the probability to purchase an electric bike or joining a car sharing scheme. Moreover, the estimation of error components implies that there is unobserved heterogeneity across respondents on the sustainable mobility tools choice and the decision on household’s current car.

scholarly journals Railway and road discrete choice model for foreign trade freight between Antioquia and the Port of Cartagena

2016 ◽  
Vol 36 (3) ◽  
pp. 22 ◽  
Author(s):  
Juan Diego Pineda Jaramillo ◽  
Iván Reinaldo Sarmiento Ordosgoitia ◽  
Jorge Eliécer Córdoba Maquilón
Keyword(s):  
Qualitative Research ◽  
Discrete Choice ◽  
Logit Model ◽  
Choice Model ◽  
Stated Preference ◽  
Revealed Preference ◽  
Freight Transportation ◽  
Multinomial Logit Model ◽  
Discrete Choice Model ◽  
The Cost

Most Colombian freight is transported on roads with barely acceptable conditions, and although there is a speculation about the need for a railway for freight transportation, there is not a study in Colombia showing the variables that influence the modal choice by the companies that generate freight transportation. This article presents the calculation of demand for a hypothetical railway through a discrete choice model. It begins with a qualitative research through focus group techniques to identify the variables that influence the choice of persons responsible for the transportation of large commercial companies in Antioquia (Colombia). The influential variables in the election were the cost and service frequency, and these variables were used to apply a Stated Preference (SP) and Revealed Preference (RP) survey, then to calibrate a Multinomial Logit Model (MNL), and to estimate the influence of each of them. We show that the probability of railway choice by the studied companies varies between 67% and 93%, depending on differences in these variables.

Pricing Competition Under Specific Discrete Choice Models

2020 ◽  
Vol 37 (02) ◽  
pp. 2050008
Author(s):  
Farhad Etebari
Keyword(s):  
Discrete Choice ◽  
Logit Model ◽  
Choice Model ◽  
Public Information ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Discrete Choice Models ◽  
Nested Logit ◽  
Nested Logit Model ◽  
Substitution Pattern

Recent developments of information technology have increased market’s competitive pressure and products’ prices turned to be paramount factor for customers’ choices. These challenges influence traditional revenue management models and force them to shift from quantity-based to price-based techniques and incorporate individuals’ decisions within optimization models during pricing process. Multinomial logit model is the simplest and most popular discrete choice model, which suffers from an independence of irrelevant alternatives limitation. Empirical results demonstrate inadequacy of this model for capturing choice probability in the itinerary share models. The nested logit model, which appeared a few years after the multinomial logit, incorporates more realistic substitution pattern by relaxing this limitation. In this paper, a model of game theory is developed for two firms which customers choose according to the nested logit model. It is assumed that the real-time inventory levels of all firms are public information and the existence of Nash equilibrium is demonstrated. The firms adapt their prices by market conditions in this competition. The numerical experiments indicate decreasing firm’s price level simultaneously with increasing correlation among alternatives’ utilities error terms in the nests.

Modeling Incident-Related Routing Decisions by Using a Nested Logit Structure

1998 ◽  
Vol 1645 (1) ◽  
pp. 103-110 ◽  
Author(s):  
Mohamed A. Abdel-Aty
Keyword(s):  
Logit Model ◽  
Urban Areas ◽  
Potential Benefit ◽  
Traffic Information ◽  
Nested Logit ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Real Time Traffic ◽  
Alternative Routes ◽  
Logit Modeling

Unusual congestion that could be caused by an incident or other traffic problems is a major source of delay for drivers in urban areas. Real-time traffic information, the building block for advanced traveler information systems (ATIS), has a promising potential for alleviating such congestion by encouraging and assisting drivers to divert to less congested routes. Traffic information is envisioned to help more informed routing decisions in case of incident-related congestion. Drivers’ routing decisions made when they are faced with such unusual congestion are investigated. The factors that influence these decisions are explored, including the effect of traffic information. A nested logit modeling structure is introduced. This model proved that the nested logit approach is superior than the simple multinomial logit in modeling the choice in cases of incident-related congestion. The model also showed that the decisions not to divert from the usual route and to divert but only around the location of the problem share unobserved terms. Familiarity and usual use of alternative routes did not affect the decision in the case of an incident. Drivers who use more than one route to work do not necessarily switch routes if they encounter unusual congestion. The nested logit model also proved the significance of traffic information, indicating a promising potential benefit of ATIS in alleviating nonrecurring congestion.

scholarly journals Modeling Forest Fire Probabilities in the South Central United States Using FIA Data

2003 ◽  
Vol 27 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Ian A. Munn ◽  
Yushun Zhai ◽  
David L. Evans
Keyword(s):  
United States ◽  
Census Tract ◽  
Logit Model ◽  
Urban Areas ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Prescribed Fires ◽  
The South ◽  
South Central ◽  
Central United States

Abstract Factors influencing the probability of fire occurrence in the south central United States were investigated using a geographic information system (GIS) and a multinomial logit model. Forest Inventory and Analysis (FIA) data at the plot level were merged with census data at the census-tract level to create a data set containing demographic, geographic, and timber-related characteristics. A multinomial logit model was employed to estimate the relationships between plot characteristics and the probability of wildfires, prescribed fires, and fires of unknown origins. Wildfires occurred more frequently on public forests than industrial and nonindustrial private forests (NIPFs). The probability of wildfire increased with proximity to urban areas and “built-up” areas of 4 ha or more in size. Wildfires occurred more frequently in younger stands and in pine and mixed pine-hardwood types than in hardwood types. Prescribed fires occurred more frequently on public and industrial forests than on NIPFs. The probability of prescribed fires increased with proximity to roads, urban areas, built-up areas of 4 ha or more, and on flatter terrain, but was inversely related to population density. Fire was prescribed less frequently for pole-sized stands than sawtimber size stands and more frequently for pine and mixed pine-hardwood types than for hardwood types. Education levels and median household incomes of the surrounding census tract had no significant effects on the probability of any type of fire. South. J. Appl. For. 27(1):11–17.

A Study on Travel Demand for High-Speed Train Based on Nested Logit Model

2013 ◽  
Vol 361-363 ◽  
pp. 2096-2099
Author(s):  
En Jian Yao ◽  
Qi Rong Yang ◽  
Yong Sheng Zhang ◽  
Hong Na Dai
Keyword(s):  
Logit Model ◽  
High Speed ◽  
Travel Demand ◽  
Stated Preference ◽  
Rapid Development ◽  
Nested Logit ◽  
High Speed Train ◽  
Long Distance ◽  
Stated Preference Data ◽  
Nested Structure

High speed train (HST) has received plenty of attention due to the characteristics of safety, quickness, convenience and better service in China over recent years. With consideration of rapid development of HST and intense competition between HST and other transport modes, it is essential to estimate the travel demand for HST. In this research, a disaggregate logit model is applied to estimate the travel demand for high-speed train based on stated preference data. Considering the independence of irrelevant alternatives attribute, a nested structure is chosen to these alternatives. Besides, both the service attributes of transport mode and passengers' attributes are taken into account when establishes model. The results obtained confirm that HST occupies a significant position in modes conpetition and have an important impact on air in middle and long distance market.

scholarly journals Influence of Parking Price on Parking Garage Users’ Behaviour

1970 ◽  
Vol 24 (5) ◽  
pp. 413-423 ◽  
Author(s):  
Jelena Simićević ◽  
Nada Milosavljević ◽  
Goran Maletić
Keyword(s):  
Traffic Congestion ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Great Sensitivity ◽  
Multinomial Model ◽  
Parking Garage ◽  
Policy Makers ◽  
Binary Logit ◽  
First Time ◽  
Made In

Parking charge is a powerful tool for solving parking and traffic congestion problems. In order to achieve the expected effects without any adverse impact it is necessary to understand well the users’ responses to this policy. This paper, based on a sample of interviewed parking garage users, has developed binary logit model for identification and quantification of characteristics of users and trips, on which the acceptance of parking price is dependent. In addition, multinomial logit model has been made in order to predict what the users will opt for when faced with an increase in parking price. For the first time the parameter “shorten duration” has been introduced which has shown to be the most significant in making behaviour-related decisions. The results show that the users with the purpose work are the most sensitive to an increase in parking charge, what can be deemed positive for policy makers. However, great sensitivity of the users with the purpose shopping should cause their concern. The results of the multinomial model show that they would not discontinue coming into the area after all.

scholarly journals STUDY OF TEMPERATURE PROFILE ON VARIOUS LAND USE AND LAND COVER FOR EMERGING HEAT ISLAND

2015 ◽  
Vol 9 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Sainu Franco ◽  
Venkata Ravibabu Mandla ◽  
K. Ram Mohan Rao ◽  
Pramod Kumar M ◽  
Anand P.C.
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Ghg Emissions ◽  
Climatic Changes ◽  
Heat Island ◽  
Sharp Decline ◽  
Geospatial Technologies ◽  
Local Climate ◽  
Green House Gas ◽  
Urban Heat

Greater Hyderabad a twin city in earlier days, has grown into a tricity of Cyberabad - Hyderabad – Secunderabad. This concentrated development with impetus on industrialization has led to unprecedented urbanization and sprawl, resulting in heavy population growth and ultimately raising serious challenges such as traffic congestion, enhanced Green House Gas (GHG) emissions causing climatic changes apart from over-use of basic amenities and infrastructure. This study shows that urban areas have grown from a mere 172 sq km of MCH (Municipal Corporation of Hyderabad) in the 1970’s to a whopping 1905 sq km at present, currently known as the Greater Hyderabad Metropolitan Corporation. The phenomenon of Urban Heat Island (UHI) can be observed in several localities. The pattern of growth of Greater Hyderabad and its repercussions on the local climate are studied with the help of geospatial technologies. An increase of ~20C to 2.50C is observed over the last 2 decades. The Vegetation and water bodies also show a sharp decline.

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