| Title |
Mode Choice Modeling to Shift Car Travelers towards Park and Ride Service in the City Centre of Karachi |
| ID_Doc |
77435 |
| Authors |
Memon, IA; Kalwar, S; Sahito, N; Talpur, MAH; Chandio, IA; Napiah, M; Tayyeb, H |
| Title |
Mode Choice Modeling to Shift Car Travelers towards Park and Ride Service in the City Centre of Karachi |
| Year |
2021 |
| Published |
Sustainability, 13, 10 |
| DOI |
10.3390/su13105638 |
| Abstract |
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. |
| Author Keywords |
mode choice modeling; travel behavior; revealed and stated preferences; park and ride Karachi; logistic regression |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000662567600001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/13/10/5638/pdf?version=1621349075
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