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Is It Possible to Compete With Car Use? How Buses Can Facilitate Sustainable Transport

The need to prioritise the development of bus transport has attracted widespread attention in the literature. This study aims to investigate how buses can be used to facilitate a sustainable transport system, using Heze, in China, as a case study. Our results show that older people, unemployed residents, and those whose points of departure or arrival are within the city centre are more likely to travel by bus. In addition, compared to other travel modes, travel by bus tends to become more popular as travel time and distance increase. We predict the probabilities of people using buses for journeys of different travel times and over varying distances and rank them in order. The results suggest that bus travel could potentially replace car travel when the travel time is between 15 and 30 minutes or the travel distance is more than 9 km. In terms of policy implications, governments and planners should pay more attention to creating additional bus lanes, extending the bus network and its infrastructure, optimising bus-related facilities and services, particularly for older adults, and increasing the punctuality and reliability of bus travel.
- Peking University China (People's Republic of)
- Chongqing University of Technology China (People's Republic of)
- Peking University China (People's Republic of)
- University of Westminster United Kingdom
- Peking University China (People's Republic of)
bus travel; car dependency; sustainable mobility; transport planning; travel behaviour, Punctuality, Ridesharing, Travel time, Raumplanung und Regionalforschung, public transportation, Social Sciences, FOS: Mechanical engineering, Transportation, Öffentlicher Personennahverkehr, motor vehicle, Engineering, Business, public transport, Städtebau, Raumplanung, Landschaftsgestaltung, Geography, Ecology, Public Transit Integration, Area Development Planning, Regional Research, transport planning, Influence of Built Environment on Active Travel, Understanding Attitudes Towards Public Transport and Private Car, Stadtplanung, mobility, Sustainability, Archaeology, Passenger transport, Physical Sciences, bus travel, Public transport, car dependency, China, Mobilität, urban planning, Implications of Shared Autonomous Vehicle Services, travel behaviour, Sustainable transport, Biology, City planning, Order (exchange), Landscaping and area planning, sustainable mobility, choice of means of transport, Transport engineering, Computer science, HT165.5-169.9, Kraftfahrzeug, Verkehrsmittelwahl, FOS: Biological sciences, Automotive Engineering, Travel Time Reliability, öffentlicher Verkehr, Finance, Mobility as a Service, ddc: ddc:710
bus travel; car dependency; sustainable mobility; transport planning; travel behaviour, Punctuality, Ridesharing, Travel time, Raumplanung und Regionalforschung, public transportation, Social Sciences, FOS: Mechanical engineering, Transportation, Öffentlicher Personennahverkehr, motor vehicle, Engineering, Business, public transport, Städtebau, Raumplanung, Landschaftsgestaltung, Geography, Ecology, Public Transit Integration, Area Development Planning, Regional Research, transport planning, Influence of Built Environment on Active Travel, Understanding Attitudes Towards Public Transport and Private Car, Stadtplanung, mobility, Sustainability, Archaeology, Passenger transport, Physical Sciences, bus travel, Public transport, car dependency, China, Mobilität, urban planning, Implications of Shared Autonomous Vehicle Services, travel behaviour, Sustainable transport, Biology, City planning, Order (exchange), Landscaping and area planning, sustainable mobility, choice of means of transport, Transport engineering, Computer science, HT165.5-169.9, Kraftfahrzeug, Verkehrsmittelwahl, FOS: Biological sciences, Automotive Engineering, Travel Time Reliability, öffentlicher Verkehr, Finance, Mobility as a Service, ddc: ddc:710
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
