Park-and-ride is a traffic management method of traffic congestion problem in urban areas. As an extent of total demand management, park-and-ride service (P&R service) has broadly implemented in many countries. P&R service has proven to be progressive in alleviating traffic congestion despite of complication in finding parking spaces in the city centers. The objective of this research is to discuss a model to shift car travelers’ to park-and-ride service (P&R service) and to investigate the factors which influence car travelers’ behavior. This study can support policy makers’ with useful information for future planning and development of park-and-ride service. Research outcomes will support policy-making and provide base for future study on modal choice behavior model for park-and-ride service.
The aim of this study was to critically investigate the planning policy loopholes in five-year (7th and 8th) plans of Pakistan to develop agricultural-based industrial sectors in secondary cities of the Sindh Province, Pakistan. The study had conducted key informant interviews from agro-based industrial sectors to diagnose the strengths, weaknesses, opportunities, and threats (SWOT) of the 7th and 8th five-year plans. For that purpose, the study had conducted 30 key informant interviews by using the purposive sampling technique. The NVIVO software was used with content analysis method to get results of SWOT of 7th five-year (1988–1993) and 8th five-year (1993–1998) plans. The results revealed that high priority is given to the textile and sugar industries. However, there is an absence of planning policies for small and medium agricultural industries in secondary cities, fiscal reliance on central government, and reliance on foreign aid as weaknesses of the plans. Whereas the centralized planning system, political influence of federal government, weak agricultural infrastructure services in secondary cities, and cross-border war were the threats hampered in the execution of development plans. Considering these results, the study suggests development of planning policies in the five-year development plans to stimulate the agriculture industrial development in secondary cities and devolution of powers can help to achieve sustainable agricultural development.
Currently, congestion in Karachi’s central business district (CBD) is the result of people driving their cars to work. Consequently, a park and ride (P&R) service has proved successful in decreasing traffic congestion and the difficulty of finding parking spaces from urban centers. The travelers cannot be convinced to shift towards the P&R service without an understanding of their travel behavior. Therefore, a travel behavior survey needs to be conducted to reduce the imbalance between public and private transport. Hence, mode choice models were developed to determine the factors that influence single-occupant vehicle (SOV) travelers’ decision to adopt the P&R service. Data were collected by an adapted self-administered questionnaire. Mode choice models were developed through logistic regression modeling by using the Statistical Package for the Social Sciences version 22. The findings concluded that more than 70%, specifically motorbike users, to avoid mental stress, and to protect the environment are willing to adopt the P&R service. Moreover, to validate the mode choice models, logit model training and a testing approach were used. In conclusion, by overcoming these influencing factors and balancing push and pull measures of travel demand management (TDM), SOV users can be encouraged to shift towards P&R services. Thus, research outcomes can support policymakers in implementing sustainable modes of public transportation.
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