Identifying mode choice constrained urban travel market segments

1984 ◽  
Vol 11 (4) ◽  
pp. 924-932 ◽  
Author(s):  
F. R. Wilson ◽  
A. M. Stevens ◽  
J. B. Robinson
Keyword(s):  
Transport System ◽  
Market Segmentation ◽  
Travel Demand ◽  
Mode Choice ◽  
Urban Transport ◽  
Market Segments ◽  
Decision Context ◽  
Work Trip ◽  
The Impact ◽  
Choice Set

A new travel choice decision context and urban transport market segmentation is proposed. The research addresses the issue of the definition and measurement of captive/chooser market segments in the Regional Municipality of Ottawa–Carleton. It deals with the questions of mode choice for the work trip to the downtown core of the City of Ottawa, an area of particular concern to the transportation planners and decision makers of that region. Based on the necessity that an individual place himself in a position to perceive alternatives, a conceptual decision process for individuals is proposed. In the general case it is hypothesized that the urban transport market for a given alternative may be segmented into four groups of users across a continuum of choice. The four groups are referred to as the choice set hierarchy and represent populations of mode users with different potentials to change their mode of travel. Each of the market segments is sensitive to different kinds of transport system management (TSM) policies, and the research aims at developing a technique that might facilitate the development of baseline estimates of the impact of different policies on the urban transport system. Using a case study approach based on workplace surveys taken in the downtown core of Ottawa and involving only mode choice for the work trip, researchers successfully identified a simplified two-group market segmentation based on choosers and captives to given modes. In addition, using the same data base and objective responses to questions in the survey, a four-group choice set hierarchy market segmentation is also successfully identified. Trip-related and traveller-related data provided by the respondents are examined using analysis of variance techniques, and significant differences in characteristics between each of the four-group market segments are identified. Key words: transportation models, travel demand, urban transportation, market segmentation, mode choice.

Assessing the Role of Modal Shift in Minimizing Transport Energy Consumption, a Case Study of Kathmandu Valley

2020 ◽  
Vol 15 (3) ◽  
pp. 33-41
Author(s):  
Ashim Bajracharya ◽  
Sudha Shrestha
Keyword(s):  
Energy Consumption ◽  
Transport System ◽  
Travel Demand ◽  
Urban Transport ◽  
Kathmandu Valley ◽  
Demand Model ◽  
Modal Shift ◽  
Transit System ◽  
Public Transport System ◽  
Total Transport

With rapid growing economies and population, there is an increasing trend of expansion of urban sprawl and auto-mobilization, in the cities of the Kathmandu Valley. With the rise in travel demand, transport energy is becoming a major concern for planners and policymakers. This paper aims to study the transport energy of daily trips that constitute work and educational trips, in context of the Kathmandu Valley. The study demonstrates the applicability of a 4-step travel demand model for the assessment of energy-saving measures in urban transport system by formulating scenarios. The results show that currently, daily trips consume 3666 TJ annually. Cars and motorcycles contribute to most of the consumption, accounting for over 80% of the total transport energy. As a mitigation measure to reduce transport energy, the introduction of the efficient public transport system in the form of Bus Rapid Transit System (BRTS) along major corridors, could bring down transport energy consumption significantly. The paper concludes with the essence, to address the need for modal shift to the mass transit system, as a step towards the minimization of transport energy.

Smart Transport System Based on “The Internet of Things”

2011 ◽  
Vol 48-49 ◽  
pp. 1073-1076 ◽  
Author(s):  
Min Zhang ◽  
Tao Yu ◽  
Guo Fang Zhai
Keyword(s):  
Internet Of Things ◽  
Transport System ◽  
Driving Force ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Urban Transport ◽  
The Internet ◽  
Smart Traffic ◽  
The Impact ◽  
The Internet Of Things

The paper analyzes the characteristics of an intelligent transportation system (ITS) to explore the impact on urban transport of the ideas from “the Internet of Things (IOT)” before its official appearance, and further outlook for the driving force from smart traffic guided by IOT.

Air Pollution and Seasonality Effects on Mode Choice in China

2017 ◽  
Vol 2634 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Weibo Li ◽  
Maria Kamargianni
Keyword(s):  
Air Pollution ◽  
Developing Countries ◽  
Air Quality ◽  
Positive Impact ◽  
Mode Choice ◽  
Urban Transport ◽  
Modal Shift ◽  
Pollution Levels ◽  
Study Results ◽  
The Impact

A modal shift from motorized to nonmotorized vehicles is imperative to reduce air pollution in developing countries. Nevertheless, whether better air quality will improve the willingness to use nonmotorized transport remains unclear. If such a reciprocal effect could be identified, a sort of virtuous circle could be created (i.e., better air quality could result in higher nonmotorized transport demand, which in turn could further reduce air pollution). Developing countries may, therefore, be more incentivized to work on air pollution reduction from other sources to exploit the extra gains in urban transport. This study investigated the impact of air pollution on mode choices and whether nonmotorized transport was preferred when air quality was better. Revealed preference data about the mode choice behavior of the same individuals was collected during two seasons (summer and winter) with different air pollution levels. Two discrete mode choice models were developed (one for each season) to quantify and compare the impacts of different air pollution levels on mode choices. Trip and socioeconomic characteristics also were included in the model to identify changes in their impacts across seasons. Taiyuan, a Chinese city that operates a successful bikesharing scheme, was selected for a case study. The study results showed that air quality improvement had a significant, positive impact on nonmotorized transport use, which suggested that improvements in air quality and promotion of nonmotorized transport must be undertaken simultaneously because of their interdependence. The results of the study could act as a harbinger to policy makers and encourage them to design measures and policies that lead to sustainable travel behavior.

RATIONALE FOR ACCOUNTING LUNCH BREAK IN INVESTIGATIONS OF FUNCTIONING OF CONVEYING TRANSPORT SISTEMS OF GOODS IN URBAN TRANSPORT

2016 ◽  
Vol 3 (1) ◽  
pp. 371-374
Author(s):  
Витвицкий ◽  
E. Vitvitskiy ◽  
Хорошилова ◽  
E. Khoroshilova
Keyword(s):  
Transport System ◽  
Urban Areas ◽  
Transport Process ◽  
Road Transport ◽  
Urban Transport ◽  
Motor Systems ◽  
Lunch Break ◽  
Motor Transport ◽  
Speed Change ◽  
The Impact

It is known that motor transport process is influenced by random factors. To understand how we can take this into account when planning the impact of freight in urban areas need to perform studies to establish the existence of the impact of random factors in the results of the motor systems of transportation of goods. The article presents the results of investigation of technical secondary speed change under the influence of random factors on the functioning of conveying road transport system and the necessity of taking into account the lunch break in such studies.

Choice set variability and contextual heterogeneity in work trip mode choice in Chennai city

2017 ◽  
Vol 11 (4) ◽  
pp. 174-189 ◽  
Author(s):  
Parthan Kunhikrishnan ◽  
Karthik K. Srinivasan
Keyword(s):  
Mode Choice ◽  
Work Trip ◽  
Chennai City ◽  
Choice Set

Gender-Based Analysis of Work Trip Mode Choice of Commuters in Suburban Montreal, Canada, with Stated Preference Data

2005 ◽  
Vol 1924 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Zachary Patterson ◽  
Gordon Ewing ◽  
Murtaza Haider
Keyword(s):  
Travel Demand ◽  
Stated Preference ◽  
Mode Choice ◽  
Demand Management ◽  
Management Strategies ◽  
Travel Demand Management ◽  
Men And Women ◽  
Work Trip ◽  
Gender Based ◽  
Commuting Patterns

Transportation literature suggests that men and women differ in their commuting patterns and in their propensity to switch between travel options. In North America, it is expected that women will have an increasing impact on travel demand. As such, differences in female responses to travel demand management strategies are likely to become increasingly important as governments try to curtail travel demand. This paper uses a 1994 stated preference survey of suburban commuters in Montreal, Canada, to determine whether there is evidence for differences between men and women in the factors that affect work trip choices, to quantify those differences, and to suggest what the differences imply for travel demand management in the future in Montreal. The main conclusions of this paper are as follows. First, women and men should be modeled separately for work trip mode choice. Second, three main differences appear from the econometric models: women are less likely to choose public transit than men; women are more likely to choose to rideshare; and women are less time-sensitive in regard to commuting than men are.

THE EXTENT OF INFLUENCE OF O–D MATRIX ON THE RESULTS OF PUBLIC TRANSPORT MODELING

Transport ◽  
2012 ◽  
Vol 27 (2) ◽  
pp. 165-170 ◽  
Author(s):  
Rasa Ušpalytė-Vitkūnienė ◽  
Vytautas Grigonis ◽  
Gražvydas Paliulis
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Break Point ◽  
Urban Transport ◽  
Transport Modelling ◽  
The Public ◽  
Public Transport System ◽  
Route Network ◽  
The Matrix ◽  
The Impact

A rapidly developing and equality-based society needs a reliable and attractive public transport system. With booming mobility in Lithuania, a great importance has been attached to the sustainable development concept, and public transport has been given priority in the urban transport system. Accessibility and comfort of public transport are essential indicators that guarantee equal travelling opportunities for all people. Transport modelling is the only economical and sufficiently reliable way to carry out a forward assessment of the impact of innovations to be applied to the overall system without involvement of passengers. This paper considers estimation of the origin–destination (O–D) matrix and its size correction. The public transport (PT) system of Vilnius City was taken as a basis for the research. Modelling of Vilnius City public transport was carried out with the help of VISUM software. Modelling of the public transport route network in Vilnius is aimed at improving the quality of life of inhabitants of the city. The O–D matrix is one of the key elements in modelling. Reliability of modelling results is based on reliability and size of the matrix. Although many scientists analyse the problem of estimating an O–D matrix, this paper focuses on the size of the O–D matrix required in order to give reliable results in PT modelling. During the first step, the matrix of 230 transport districts is estimated, which is reduced by 10 percent with every following step. The aim of this article is to find the break point in the size of O–D matrix where the reliability of PT modeling results falls.

scholarly journals What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network

2015 ◽  
Author(s):  
T. Donna Chen ◽  
Kara Kockelman ◽  
Yong Zhao
Keyword(s):  
Travel Demand ◽  
Choice Model ◽  
Mode Choice ◽  
Demographic Data ◽  
Time Of Day ◽  
Demand Model ◽  
Land Use Patterns ◽  
Transportation Demand ◽  
Step Model ◽  
The Impact

This paper examines the impact of travel demand modeling (TDM) disaggregation techniques in the context of medium-sized communities. Specific TDM improvement strategies are evaluated for predictive power and flexibility with case studies based on the Tyler, Texas, network. Results suggest that adding time-of-day disaggregation, particularly in conjunction with multi-class assignment, to a basic TDM framework has the most significant impacts on outputs. Other strategies shown to impact outputs include adding a logit mode choice model and incorporating a congestion feedback loop. For resource-constrained communities, these results show how model output and flexibility vary for different settings and scenarios.BACKGROUND Transportation directly provides for the mobility of people and goods, while influencing land use patterns and economic activity, which in turn affect air quality, social equity, and investment decisions. Driven by the need to forecast future transportation demand and system performance, Manheim (1979) and Florian et al. (1988) introduced a transportation analysis framework for traffic forecasting using aggregated data that provide the basis for what is known as the four-step model: a process involving trip generation, then trip distribution and mode choice, followed by route choice. Aggregating demographic data at the zone level, the four-step model generates trip productions based on socioeconomic data (e.g., household counts by income and size) and trip attractions primarily based on jobs counts. The model then proportionally distributes trips between each origin and destination (OD) zone pair based on competing travel attractions and impedances, under the assumption that OD pairings with higher travel costs draw fewer trips. Trips between each OD pair are split among a variety of transportation modes, allocating trips to private vehicle, transit, or other

Using weighted multilayer networks to uncover scaling of public transport system

2022 ◽  
pp. 239980832110629
Author(s):  
Yanyan Gu ◽  
Yandong Wang
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Travel Demand ◽  
Urban Land Use ◽  
Urban Transport ◽  
Node Degree ◽  
Transport Networks ◽  
Multilayer Network ◽  
The Public ◽  
Public Transport System

The public transport system is considered as one of the most important subsystems in metropolises for achieving sustainability objectives by mediating resources and travel demand. Representing the various urban transport networks is crucial in understanding travel behavior and the function of the transport system. However, previous studies have ignored the coupling relationships between multi-mode transport networks and travel flows. To address this problem, we constructed a multilayer network to illustrate two modes of transport (bus and metro) by assigning weights of travel flow and efficiency. We explored the scaling of the public transport system to validate the multilayer network and offered new visions for transportation improvements by considering population. The proposed methodology was demonstrated by using public transport datasets of Shanghai, China. For both the bus network and multilayer network, the scaling of node degree versus Population were explored at 1 km * 1 km urban cells. The results suggested that in the multilayer network, the scaling relations between node degree and population can provide valuable insights into quantifying the integration between the public transport system and urban land use, which will benefit sustainable improvements to cities.

THE IMPACT OF THE KYIV TRANSPORT SYSTEM ON CITIZENS LIFE AND MOBILITY

2017 ◽  
pp. 94-100 ◽  
Author(s):  
E. Dronova ◽  
E. Boklag
Keyword(s):  
Travel Time ◽  
Transport System ◽  
Public Transport ◽  
Alternative Fuels ◽  
Urban Transport ◽  
Transport Systems ◽  
Difficult Situation ◽  
Persons With Disabilities ◽  
Vital Functions ◽  
The Impact

The features of the socio-geographic research of urban transport systems impact on the people vital functions are disclosed in this paper. The indicators of transport networks development and current requirements for public transport are analyzed. It is revealed that a key concept of the investigation of transport impact on the population is accessibility. Accessibility is defined as the ability of individual to access to certain centers or services. It involves such aspects as services availability and quality, travel time, cost and effort of movement in space. Article emphasizes that the indigents suffer the cumulative effect of poor transport accessibility, because of their habitats in low-price neighborhoods are often located far from the places of employment or services. The high cost of transportation and required high travel efforts restricts mobility. The map of travel time accessibility to the Kyiv center by public transport was created using the isochronous method. The analysis of this map allows identifying the disparities in the development of the transport network. In some areas a very low accessibility can be revealed due to lack of access roads, land forms complexity, individual housing system, the airport location, railway lines with insufficient number of bridges etc. Particularly difficult situation is typical for such areas as Darnytskyi Railway Carriage Repair Plant region, Juliani, Troyeshchyna and Borschagivka. The average daily passenger traffic flow of the stations of three subway lines in Kiev was analyzed. The maximum and minimum loads and factors that affect them are considered. It is revealed in the research that Kiev transport system has a low level of availability, safety, environmental friendliness and comfort and not enough advantageous for persons with disabilities. The excessive level of automobilization in Kiev can be considered as the evidence of imperfection and inconvenience of the public transport there. From the other hand the motorized vehicles are a factor that displaces public transport from the urban transport system and prevent its development. The priority measures for the improvement of transport situation in Ukraine capital are outlined. They include solving the problem of Dnipro river bridges congestion; enhancement the accessibility of areas cut off by railways in the way of expanding the network of overpasses; construction of the new modes of high-speed light-rail transit; adoption of the traffic automated management system; development and encouragement of the use of environmentally sound forms of transport (vehicles powered by electricity or alternative fuels, etc.).

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