Factors Influence Hanoians’ Choice of Non-Motorized Transport Mode to Access Bus Stations

Hanoi’s rapid urbanization has led to a surge in private vehicle ownership, particularly motorcycles, amidst inadequate public transportation infrastructure. Despite government efforts, many still prefer motorized transport, citing mobility and safety concerns, exacerbated by insufficient pedestrian infrastructure. This study examines the motivations behind this reliance on motorized vehicles, particularly motorcycles, in Hanoi. Findings reveal safety and convenience as primary factors driving motorized transport use, especially for accessing bus stations. Economic incentives could promote non-motorized travel and public transport adoption. Policy implications highlight the importance of addressing economic factors and improving access infrastructure to manage motorized vehicle reliance and foster sustainable urban mobility in Hanoi.

Electric Buses in Urban Transport, The Situation and Development Trends

A study called ＂E-mobilita v MHD＂ （e-mobility in urban mass transit） has been conducted by the author＇s private consultancy to inform Czech public transport operators about the technologies and operational experience to date and stimulate the e-bus utilization as well as their involvement in e-bus research and development projects. The study covers trolley-buses, diesel hybrids and e-buses including fuel cell buses. These electric urban buses have been compared with combustion engine vehicles represented by diesel and CNG （compressed natural gas） buses, in terms of energy consumption and cost, greenhouse gas emissions, noise and life cycle cost. Relations between urban transport e-mobility and the ＂smart grid＂ concept have been presented as well. Comprehensive reports prepared on the European Union and the USA levels have been the basis for the study, completed by information from the field research, focused especially on the bus operational reliability and other parameters important for a transport operator and covering, interalia, 12 case studies. The results show electric buses as a promising urban transport mode with massive technology development overcoming their operational limitations. Synergies between electric buses and other urban systems, such as power supply, are notable as well.

An evolutionary model of urban bus transport network based on B-space

In this paper, an evolutionary model of bus transport network in B-space is developed. It includes the effect of the overlapping ratio of new route on network performance and overcomes the disadvantage, i.e. lack of economic consideration, in the evolutionary bus transport network model in P-space proposed by Chen et al （2007）. The degree distribution functions are derived by using the mean-field method and the master equation method, separately. The relationship between the new stop ratio of a route, λ, and the error in exponential of degree distribution function from the mean-field method is developed as ASlope= λ/（1 -λ） ＋ ln（1-λ）. Finally, the bus transport networks of Hangzhou and Nanjing are simulated by using this model, and the results show that some characteristic index values of the simulated networks are closer to the empirical data than those from Chen＇s model.

Decision-Aiding Transit-Tracker Methodology for Bus Scheduling Using Real Time Information to Ameliorate Traffic Congestion in the Kathmandu Valley of Nepal

The bustling urban environment of Kathmandu Valley is characterized by unprecedented traffic congestion. Due to its bowel-shaped geography, gusty winds rarely remove vehicular emissions from the urban atmosphere, making Kathmandu one of Asia’s most polluted cities, 100th city in global pollution index. Over 500,000 vehicles travel daily on over 1600 km of roads covering over 675 sq·km urban area. Thousands of low occupancy vehicles are added each year to the urban public transit system (UPTS). Kathmandu faces worse and unreliable traffic from the current UPTS mostly with low occupancy vehicles. Around 4.5 million urban denizens, both permanent and transient residents, suffer from unreliable UPTS. Traffic rules and daily transportation schedules are rarely followed, resulting in frequent traffic jams and accidents. Once experienced, visitors try avoiding the UPTS. Tourism, annually contributing almost 8 percent to Nepal’s total annual GDP, also suffers from poor UPTS. Planners, policy makers, and politicians (P-actors) are seeking ways to improve sustainable UPTS to ameliorate stresses to family life and working hours for the urban majority. Aiming to help P-actors, we propose a transit-tracker model that uses real time information (RTI) in mobile phones and web-embedded devices to inform travelers, drivers, government authorities, and sub-admins. We argue that unreliability in the UPTS motivates urban elites to add more low occupancy vehicles, which in turn reduces already shrunken urban spaces and contributes more per capita air pollution than multi-occupancy vehicles. Since mobile and smart phones are capable of processing RTI to generate meaningful information and inform various stakeholders in communicable languages, we argue that replacing low occupancy vehicles with multi-occupancy buses within a Bus Rapid Transit (BRT) system, on main roads with fixed schedules and strict traffic rules, would not only improve UPTS, but also reduce pollution in the Kathmandu Valley.

A review of research on public transport priority based on CiteSpace

The prioritization of public transit as an essential means of promoting sustainable urban development has a significant role in improving the quality of public transportation services,reducing traffic congestion,and enhancing air quality.To improve the implementation of public transit prioritization policies,this study conducted a comprehensive review of relevant literature on public transit prioritization from two major citation databases(Web of Science and China National Knowledge Infrastructure)from 2003 to 2021.Utilizing the visualization analysis software CiteSpace,this study analyzed knowledge visualization from five aspects:research sources,research institutions,knowledge foundation,knowledge frontier,and research hotspots,and summarized the research history and implementation effectiveness of public transit prioritization policies.The study concludes that existing research has some deficiencies in terms of urban diversity,comprehensive evaluation system,holistic perspective,interdisciplinary collaboration,and consideration of economic and environmental impacts.Future research should focus on development directions such as intelligence,sustainability,interdisciplinary collaboration,and integration of multi-modal transportation.The findings of this study can provide valuable references for the implementation of public transportation prioritization policies and future research.

Research on Public Traffic Vehicles Dispatch Based on Improved Adaptive Genetic Algorithm

Bus dispatching has been studied,and also the bus dispatching model is set up.Then,Genetic Algorithm is adaptively improved in order to avoid premature problem and the slow convergence,and then the keeping optimal strategy is used to the Genetic Algorithm,so formed the Improved Adaptive Genetic Algorithm,namely IAGA. Finally,the IAGA is used to optimizing the bus dispatching model,and the results of the simulation indicate IAGA has the higher efficiency than simple GA and is one effective way to optimizing the bus dispatching.

城市公共汽电车客运行业人力资源管理政策浅析

近年来,随着国家人力资源整体战略的调整,以及公交优先战略的深化实施,多个省市出台了城市公共汽电车客运行业人力资源相关政策。本文梳理了部分省市出台的公交优先发展政策中涉及人力资源管理的内容,分析了现行人力资源政策的关注焦点。进而对多地公交行业的人力资源管理状况进行了调研,归纳了存在的主要问题并分析其具体原因。在此基础上,进一步提出了行业人力资源管理方面的若干建议。