The impact of traffic demand management policy mix on commuter travel choices

2022 ◽  
Author(s):  
Yacan Wang ◽  
Kexin Geng ◽  
Anthony D. May ◽  
Huiyu Zhou
Keyword(s):  
Demand Management ◽  
Management Policy ◽  
Policy Mix ◽  
Traffic Demand ◽  
The Impact

scholarly journals Tackling Traffic Congestion with Workplace Parking Levies

2020 ◽  
Vol 12 (6) ◽  
pp. 2200
Author(s):  
Georgina Santos ◽  
Anna Hagan ◽  
Orla Lenehan
Keyword(s):  
Public Transport ◽  
Traffic Congestion ◽  
Demand Management ◽  
Active Travel ◽  
Public Consultation ◽  
Management Policy ◽  
Traffic Demand ◽  
Survey Responses ◽  
Study Participants ◽  
Congestion Charging

On the basis of 17 interviews with employers and 272 survey responses from employees, we explore the perceptions of a Workplace Parking Levy (WPL) in Cardiff, with the aim of understanding if a WPL would be an acceptable traffic demand management policy to tackle traffic congestion. We find that employers would not be very supportive of a WPL, whilst employees would, provided employers were to absorb the costs. Despite this support, the majority of those who drive to work would not be prepared to change mode. An important theme throughout the study was the perception of public transport and active travel provision in Cardiff being inadequate. Most study participants felt that investment in public transport and active travel is needed before a WPL is introduced. We conclude that, although a WPL would not be overwhelmingly acceptable to employers and employees, it would be more acceptable than congestion charging, and there is a possibility that acceptability could be increased with the help of feedback from a public consultation.

scholarly journals The Evolvement of Rail Transit Network Structure and Impact on Travel Characteristics: A Case Study of Wuhan

2021 ◽  
Vol 10 (11) ◽  
pp. 789
Author(s):  
Jiandong Peng ◽  
Changwei Cui ◽  
Jiajie Qi ◽  
Zehan Ruan ◽  
Qi Dai ◽  
...  
Keyword(s):  
Public Transportation ◽  
Positive Impact ◽  
Empirical Studies ◽  
Demand Management ◽  
Rail Transit ◽  
Transportation Demand ◽  
Traffic Demand ◽  
Transit Network ◽  
Large Cities ◽  
The Impact

The expansion of the rail transit network has a positive impact on travel characteristics under spatial and temporal constraints by changing accessibility. However, few empirical studies have examined the longitudinal evolution of the impact of accessibility and travel characteristics. In this paper, a model of the Wuhan rail transit network is constructed and the evolution of the spatial pattern of accessibility over different periods is analyzed. The correlation of accessibility with rail transit travel characteristics is studied longitudinally to provide theoretical support for rail transit construction and traffic demand management. The study shows that: (1) Wuhan’s rail transit network has evolved from a tree to a ring, improving the operational efficiency. (2) The accessibility of Wuhan’s rail transit network has evolved into a circular structure, showing a decreasing trend away from the city center. (3) The change of accessibility greatly affects travel characteristics. The higher the accessibility, the higher the traffic volume, and the lower the travel frequency, the more residents travel during peak hours, and the shorter the travel distance. These findings are useful for gaining insight into public transportation demand in large cities, and thus for developing reasonable transportation demand management policies.

Influence Analysis of Traffic Demand Management Policy in Beijing Based on FCD

ICCTP 2010 ◽  
2010 ◽  
Author(s):  
Jian-Cheng Weng ◽  
Xiao-Guang Zhao ◽  
Jin-Yan Lv ◽  
Meng-Jia Wang
Keyword(s):  
Demand Management ◽  
Management Policy ◽  
Influence Analysis ◽  
Traffic Demand

scholarly journals Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

2021 ◽  
Vol 13 (12) ◽  
pp. 6777
Author(s):  
Masanobu Kii ◽  
Yuki Goda ◽  
Varameth Vichiensan ◽  
Hiroyuki Miyazaki ◽  
Rolf Moeckel
Keyword(s):  
Developing Countries ◽  
Travel Time ◽  
Demand Management ◽  
Likelihood Estimation ◽  
Road Transport ◽  
Peak Shift ◽  
Time Shift ◽  
Peak Time ◽  
Management Scenarios ◽  
The Impact

Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.

scholarly journals Modeling policy mix to improve the competitiveness of Indonesian palm oil industry

2016 ◽  
Vol 9 (1) ◽  
pp. 231
Author(s):  
Roland Y H Silitonga ◽  
Joko Siswanto ◽  
Tota Simatupang ◽  
Senator Nur Bahagia
Keyword(s):  
Palm Oil ◽  
Value Chain ◽  
Oil Industry ◽  
Added Value ◽  
Government Policies ◽  
Value Chain Analysis ◽  
Policy Mix ◽  
Industry Research ◽  
Chain Analysis ◽  
The Impact

Purpose: The purpose of this research is to develop a model that will explain the impact of government policies to the competitiveness of palm oil industry. The model involves two commodities in this industry, namely crude palm oil (CPO) and refined palm oil (RPO), each has different added value. Design/methodology/approach: The model built will define the behavior of government in controlling palm oil industry, and their interactions with macro-environment, in order to improve the competitiveness of the industry. Therefore the first step was to map the main activities in this industry using value chain analysis. After that a conceptual model was built, where the output of the model is competitiveness of the industry based on market share. The third step was model formulation. The model is then utilized to simulate the policy mix given by government in improving the competitiveness of Palm Oil Industry. Research limitations/implications: The model was developed using only some policies which give direct impact to the competitiveness of the industry. For macro environment input, only price is considered in this model. Practical implications: The model can simulate the output of the industry for various government policies mix given to the industry. Originality/value: This research develops a model that can represent the structure and relationship between industry, government and macro environment, using value chain analysis and hierarchical multilevel system approach.

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