Commuting mode choice in the context of travel demand management (TDM) policies: an empirical investigation in Edmonton, Alberta

2011 ◽  
Vol 38 (4) ◽  
pp. 433-443 ◽  
Author(s):  
Hamid Zaman ◽  
Khandker M. Nurul Habib
Keyword(s):  
Travel Demand ◽  
Mode Choice ◽  
Demand Management ◽  
Travel Behaviour ◽  
Data Set ◽  
Travel Demand Management ◽  
Depth Analysis ◽  
Private Car ◽  
Commuting Mode ◽  
The City

Travel demand management (TDM) for achieving sustainability is now considered one of the most important aspects of transportation planning and operation. It is now a well known fact that excessive use of private car results inefficient travel behaviour. So, from the TDM perspective, it is of great importance to analyze travel behaviour for improving our understanding on how to influence people to reduce car use and choose more sustainable modes such as  carpool, public transit, park & ride, walk, bike etc. This study attempts an in-depth analysis of commuting mode choice behaviour using a week-long commuter survey data set collected in the City of Edmonton. Using error correlated nested logit model for panel data, this study investigates sensitivities of various factors including some specific TDM policies such as flexible office hours, compressed work week etc. Results of the investigation provide profound understanding and guidelines for designing effective TDM policies.

scholarly journals THE EFFICIENCY OF VEHICLE MONITORING LOCATIONS FOR A VOLUNTARY TRAVEL DEMAND MANAGEMENT PROGRAM

Transport ◽  
2014 ◽  
Vol 29 (3) ◽  
pp. 326-333 ◽  
Author(s):  
Joonho Ko ◽  
Daejin Kim ◽  
Heung Gweon Sin ◽  
Seungjae Lee
Keyword(s):  
Radio Frequency Identification ◽  
Travel Demand ◽  
Demand Management ◽  
Transportation Systems ◽  
Management Program ◽  
Voluntary Participation ◽  
Travel Demand Management ◽  
Vehicle Monitoring ◽  
Frequency Identification ◽  
The City

As many people are concerned about sustainable urban transportation systems, Travel Demand Management (TDM) is getting more attention as a viable option to reduce automobile dependency on an efficient way. Especially, voluntary participation-based TDM by offering incentives has been applied in many cities in recent years. The city of Seoul with 10 million population is offering incentives including an annual vehicle tax discount to increase the participation of Weekly No-driving Day (WND) program, a voluntary TDM program encouraging drivers to leave their cars home at least one weekday a week. The compliance of the program rule is monitored by Radio-Frequency IDentification (RFID) systems. In this study, to check the efficiency of the RFID monitoring system, the flow capturing location model is utilized to evaluate the adequateness of the RFID reader locations. Also, this paper proposes an optimal detection rate for the WND program based on economic evaluation results in consideration of costs and benefits of the program.

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.

scholarly journals Park And Ride Facilities within Kuala Lumpur Conurbation: How willing are private vehicle commuters to use?

2019 ◽  
Vol 4 (12) ◽  
pp. 313
Author(s):  
Anis Adibah Ibrahim ◽  
Norlida Abdul Hamid ◽  
Azimah Daud
Keyword(s):  
Travel Demand ◽  
Demand Management ◽  
Publishing House ◽  
Management Strategies ◽  
Kuala Lumpur ◽  
Vehicle Ownership ◽  
Travel Demand Management ◽  
Private Vehicle ◽  
Park And Ride ◽  
The City

The rapid transformation of Kuala Lumpur conurbation has seen a rise in the demand for private vehicle ownership among commuters, thus leading to an increase in the overall level of congestion within the city center. Towards reducing such issues and focusing on the significance of travel demand management, this study examined the willingness of private vehicle users in using the park and ride facilities. A convenience survey was conducted on 199 respondents through multiple linear regression. It was found that socioeconomic, trip, and technology characteristics have a significant relationship with a willingness to park and ride. The result may assist future transport planners in improving the overall parking management strategies of the city centre.Keywords: Willingness, park and ride, Kuala Lumpur conurbation, regressioneISSN: 2398-4287 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v4i12.1943

scholarly journals Understanding the Effects of Improving Transportation on Pilgrim Travel Behavior: Evidence from the Lhasa, Tibet, China

2018 ◽  
Vol 10 (10) ◽  
pp. 3528 ◽  
Author(s):  
Gang Cheng ◽  
Shuzhi Zhao ◽  
Di Huang
Keyword(s):  
Choice Behavior ◽  
Travel Demand ◽  
Mode Choice ◽  
Demand Management ◽  
Sustainable Transportation ◽  
Travel Demand Management ◽  
Traffic Demand ◽  
The Public ◽  
Underdeveloped Areas ◽  
Transportation Improvements

Effective travel demand management measures provide the opportunity to fully utilize limited transportation resources, especially in underdeveloped areas. It is increasingly recognized that the improvement in existing transportation infrastructure and the optimization of traffic demand management method would result in a complicated urban transportation system with multiple travel modes. This paper aims to investigate the relationship between transportation improvements (e.g., pedestrian flow, free bus for the elderly, and parking space planning) and the mode choice behavior of pilgrimages in the Lhasa of Tibet, China. This study employed a distinctive survey conducted among pilgrims in Lhasa, including both individual questionnaires and interviews from 2010 to 2016. The analysis was undertaken using a multinomial logit model to identify the extent to which transportation improvements could affect the pilgrim’s travel mode choice behavior. The results show that transportation improvements, as an operational method in underdeveloped areas, play an important role in motivating the pilgrimage to travel that can increase the attractiveness of private car use, and make pedestrian traffic more prominent. However, improvements in the public transport need to be conducted to attract more travelers. These results confirm that increasing the attractiveness of low-carbon transportation (e.g., buses, walking, and cycling) to the public can reduce the usage on private vehicles and maintain the development of sustainable transportation in underdeveloped areas with limited transportation resources.

scholarly journals Modelling of Activity-Travel Pattern with Support Vector Machine

2021 ◽  
pp. 1-15
Author(s):  
Anu P. Alex
Keyword(s):  
Support Vector Machine ◽  
Activity Pattern ◽  
Travel Demand ◽  
Demand Management ◽  
Travel Behaviour ◽  
Support Vector ◽  
Travel Demand Management ◽  
Learning Capability ◽  
Work Activity ◽  
Mode Share

Activity based travel demand modelling involves lot of uncertainty due to the complex and varying decision making behaviour of each individual. This study contributes to the literature by assessing the suitability of Support Vector Machine (SVM) in modelling the activity pattern and travel behaviour of workers. Activity and travel behaviour of workers consists of decision outcomes, which can be modelled as classification and regression problems. SVM is a good classifier and regressor with good testing and learning capability, hence the present study used SVM for modelling. It was found that support vector machine models are well performing to predict the activity pattern and travel behaviour of workers. The SVM models developed in the study predicts the temporal variation of mode wise work activity generation. Prediction of temporal mode share of commuters is advantageous to policy makers to experiment the implementation of temporary Travel Demand Management (TDM) actions effectively.

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