国际学术期刊
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国际学术期刊
Identifying public preferences using multi-criteria decision making for assessing the shift of urban commuters from private to public transport: A case study of Delhi
发布时间:2014-4-1816:42:5来源:作者:Suresh Jain, Preeti Aggarwal, Prashant Kumar, Shaleen Singhal, Prateek Sharma点击量:1736   

Suresh Jaina,
Preeti Aggarwala,
Prashant Kumarb, c,
Shaleen Singhald,
Prateek Sharmaa


Highlights


•The pair-wise weighing method has been used to priorities the choices of commuters to the shift to public transport system.
•The primary survey was conducted to collect the data under four parent criteria: reliability, comfort, safety and cost.
•Safety was found to be the most important criteria and then reliability, cost and comfort.
•96% of the commuters are willing to shift to public transport.



Keywords
Analytical Hierarchy Process; Modal shift; Public transport; Commuter perceptions



Abstract

Shifting urban commuters to public transport can be an effective strategy to deal with the energy and environmental problems associated with the transport sector. In order to enhance public transport the mode of choice for urban commuters, public expectations and requirements should be at the centre of the policy-making process. This study uses pair-wise weighing method (i.e. Analytical Hierarchy Process) to derive priorities for different criteria for shifting urban commuters to the public transport system based on their opinion. The primary survey has been conducted to collect the data for identifying public preferences for public transport characteristics under four parent criteria: reliability, comfort, safety and cost, identified based on literature review and expert opinion. This information was collected using questionnaire based surveys between January 2013 and July 2013 from nearly 50 locations using a stratified random sampling technique from nine districts of Delhi. Our results suggest safety as the most important criteria (36% of total) for encouraging the urban commuters to shift from private vehicles to public transport and then reliability (27%), cost (21%) and comfort (16%). Based on above four criteria, commuters were found to be happy with Delhi metro services compared to buses and other mode of public transport due to more frequency, adherence to schedule, less travel time, comfort and safety. Commuters were willing to pay more for better public transport service since the travel cost was not considered to be one of the important criteria. The results also showed that 96% commuters are willing to shift to public transport if above criteria or services are considered for providing an efficient public transport system. These results can assist transport planners to integrate public preferences with the available technical alternatives for the wise allocation of the available resources.



Article Outline
1. Introduction
2. Methodology
2.1. Description of the study area
2.2. Data collection
2.3. Assigning relative weights to criterion and sub-criterion using multi-criteria analysis

3. Results and discussions
3.1. Analysis of field survey
3.2. Commuters choice for parent criterion used for public transport
3.3. Commuters choice for sub-criterion used public transport
3.4. Commuters experience and expectations
3.5. Potential technical measures for improving public transport services

4. Summary and conclusions
References




Figures

   

Fig. 1.

Survey locations in Delhi city.


Fig. 2.

AHP hierarchy for an efficient public transport system.


Fig. 3.

Survey results showing commuter preferences and willingness to pay for public transport.


Fig. 4.

Commuters choice for public transport system – sub-criteria.



Tables


Table 1. A review of key actions undertaken in transport sector for improving air quality in Delhi since 1998 and their implications.

Table 2. Factors effecting choice of commuters for public transport modes.

Table 3. Statistics summary of survey results.

Table 4. Weights for different criteria of an efficient public transport system (95 percent CI).

Table 5. Weights for different sub-criteria for efficient public transport system.