Development Of Urban Public Transport Research Articles

The operation mechanism of integrating urban and rural passenger transportation and logistics under the strategy of rural revitalization–Case study of Lianhua County, China

To alleviate the pressure of government financial subsidies for urban and rural public transport, this paper analyzes the intrinsic relationship between China's rural revitalization strategy and the integrated development of urban and rural public transport, and proposes an integrated development model of public transport and logistics based on urban and rural public transport. Taking Lianhua County, China, as an example, this paper investigates the operational mechanism and pilot effects of the bus-logistics integration model, and proposes strategies to promote the development of bus-logistics integration. The results of the case study show that the urban–rural bus integration model based on the integration of public transportation and logistics can reduce the deficit of urban–rural bus enterprises by 35.8% compared with the traditional urban–rural bus integration model, which can effectively alleviate the pressure of government financial subsidies. The research results have practical significance for promoting rural revitalization in Lianhua County and alleviating government financial pressure, and also have a certain reference role for the sustainable development of urban and rural public transportation in other small and medium-sized cities.

Marketing Research at Public Transport Enterprises

This article discusses the strategic goal of the functioning and development of the transport system of Uzbekistan, studied the transport systems of cities with developed public transport in 2022, and, based on marketing research, substantiated recommendations for the development of urban public transport, increasing the number of its users and providing quality services.

Investigating the Impact of Streetscape and Land Surface Temperature on Cycling Behavior

Cycling is a flexible way of traveling that can promote the development of urban public transportation. Previous studies on the influence of cycling have focused more on the cyclists themselves, ignoring the influences of the features of natural environments, such as streetscapes and land surface temperatures (LSTs), on cycling behavior. Therefore, in this study, street view image data and Landsat 8 imagery were utilized to extract streetscape and LST features; in particular, a framework was established for a single-indicator analysis and a multiple-indicator interaction analysis based on the random forest model with GeoDetector. The model was used to explore the effects of streetscapes and surface temperatures on cycling behavior. The results of this study for the main urban area of Beijing show that (1) high-density buildings and high population activity exacerbated the heat island effect at the city center and certain areas in the east, with the highest LST reaching 46.93 °C. In contrast, the greenery and water bodies in the northwestern and northeastern areas reduced the LST, resulting in a minimum temperature of 11.61 °C. (2) The optimal analysis scale was a 100 m buffer pair, and the regression fitting accuracy reached 0.83, confirming the notable influences of streetscape and LST characteristics on cycling behavior. (3) The random forest (RF) model results show that the importance of LST features and vegetation and sky conditions exceeded 0.07, and a reasonable sky openness and open building ventilation became the first choices for promoting cycling behavior. (4) According to the GeoDetector model, the LST features alone exhibited an importance of more than 0.375 for cycling behavior, while interactions with streetscapes greatly reduced the negative effect of LST on cycling behavior. The interaction between walls and plants reached 0.392, while the interaction between multiple environmental factors and greenery and favorable ventilation counteracted the negative impact of high-temperature heat waves on the residents’ choice of bicycles.

Evaluation of urban public transport sustainability in China based on the Driving Force-Pressure-State-Impact-Response (DPSIR) framework——A case study of 36 major cities

With urbanization and motorization, the sustainable development of urban transport has drawn extensive attention worldwide. As one of the key components of the transport system, urban public transport is the breakthrough. This study focused on the characteristics of public transport, analyzed the causal and restrictive relationships between anthropogenic activities and urban public transport sustainability based on the Driving Force-Pressure-State-Impact-Response (DPSIR) framework, and decomposed the interaction to establish an evaluation index system. An improved set pair analysis-variable fuzzy set model (ISPA-VFSM) was constructed to evaluate urban public transport sustainability in China's 36 major cities in 2020 and analyze the critical influence factors and restriction modes according to the contribution degree and obstacle degree. The results show that: (1) The sustainable development of urban public transport is a systematic process, and public transport sustainability in 36 major cities shows the spatial distribution characteristics of “high in the southeast and low in the west;” Most megacities are at the forefront, benefiting from outstanding state and response levels, with Shenzhen ranking first; while the megapolises generally display moderate sustainability. Cities in Northeast and Northwest China present lower levels of sustainability. (2) Public transport sustainability in China is deficient, exhibiting a certain gap from the target. The levels of the driving force, pressure, state, impact, and response of public transport sustainability in 36 major cities are unbalanced; (3) The restriction mode of urban public transport sustainability in 36 major cities can be roughly divided into three categories: pressure-impact restriction mode, driving force-impact restriction mode, and state-response restriction mode; (4) State and response play a crucial role in achieving public transport sustainability. Public transport infrastructure, electrification substitution, and efficiency of public transport operations are the primary contributing factors to public transport sustainability. This study enriches the indicators and methods for sustainability evaluation and provides a reference for urban public transport sustainable development.

MODERN SOLUTIONS FOR URBAN PUBLIC COLLECTIVE TRANSPORT IN POLAND

The implementation of intelligent transport system solutions in cities provides passengers with better comfort and safety, moreover it considers the adaptation of vehicles to the needs of people with disabilities, the distribution of tickets as well as the broader infrastructure. The progressive digitization of transport services creates the opportunity to take use of the time spent traveling. Planning a smart city offering effective solutions in the field of urban mobility is one of the main problems of urban areas. The development of electromobility should contribute to reducing greenhouse gas emissions and increasing the share of alternative fuels in public transport. Through a system of incentives for residents to cycle and walk, local governments create their mobility. The aim of the study is to present current solutions in public transport used in Polish cities. The empirical material based on the survey allows for a comprehensive look at the development of urban public transport.

Collaborative Optimization Model for the Design and Operation of Feeder Bus Routes Based on Urban Metro

The collaborative development of conventional buses and urban metro has become an important research topic for the priority development of urban public transport. The topic of collaborative optimization of feeder bus route design and operation is studied in this study. The objective function is to minimize the total travel time of passengers and the operation cost of feeder buses. The improved particle swarm optimization (PSO) algorithm is used to solve the collaborative optimization model, and the effectiveness of the model and algorithm is verified through the case study. The research shows that it is feasible in model construction and algorithm to carry out collaborative optimization of feeder bus route design and operation. Compared with the multiple-to-one (M to 1) mode, the multiple-to-multiple (M to M) mode can better satisfy the needs of passengers from different places of departure and destinations to achieve a more reasonable and realistic goal. The case study is based on two metro stations and 16 feeder bus stops on Fuzhou Metro line 2 to obtain two bus routes and a corresponding operation scheme. Under the same topology road network, the operation time of the improved PSO algorithm is much shorter than the DFS algorithm, the total cost error of the feeder bus is 0.04%, and the departure frequency error is 4.6%, which is within the reasonable error range. Therefore, the collaborative optimization model proposed in this study is feasible and effective in optimizing the feeder bus routes and operation.

Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method

Bus passenger flow is one of the decisive factors for the development of public transportation. Therefore, accurate prediction of real-time passenger flow on bus routes not only helps bus companies to make reasonable scheduling plans to meet the travel needs of passengers but also promotes the sound development of urban public transportation and reduces pollution. In this paper, we propose a secondary decomposition integration method that combines empirical modal decomposition (EMD), sample entropy (SE), and kernel extreme learning machine (KELM) to achieve a short-time prediction of bus route passenger flow. The EMD decomposes the original passenger flow data into several intrinsic mode functions, measures the complexity of the decomposed intrinsic mode functions using SE, and performs a secondary decomposition of the intrinsic mode functions with the highest complexity using EMD, followed by the prediction of the two decomposition results using KELM. The final predicted result is the sum of the two results. The model is verified by the real card-swiping data of two bus lines per minute. Each group of data has 300 data, with 80% of the data as the training set and the remaining 20% as the test set, which can predict the passenger flow per minute. The experimental results show that the short-term bus passenger flow forecasting method proposed in this paper has high accuracy and good robustness.

Reasons of university students' susceptibility to intelligent mobility and the use of mobility-as-a-service schemes

The transition from the current transportation system to intelligent mobility and the MaaS concept, through the introduction of Big Data analytics and digital innovation, is underway. Perceptions, attitudes and other internal factors often have a significant impact on the choice of human behavior in transportation. This paper discussed the characteristics of vehicle choice by type and depending on the goal of the trip. Private car drivers noted that they choose a car mainly because of accessibility, flexibility of use, safety and comfort. For public transportation passengers, safety and cost of travel were determining factors in their choice of public transportation. The main differences between trips with different goals were found for the indicators "time of a trip", "company trip", and "prestige". The results show that there is a positive perception of intellectual mobility among student youth, a tendency to switch from owning vehicles to other ways of using them and participating in MaaS schemes. It can be concluded that MaaS is positively perceived by the young generation of students. Based on the data obtained, proposals for the directions of sustainable development of urban public transport are made.

ИССЛЕДОВАНИЕ НАУКОМЕТРИЧЕСКИХ ДАННЫХ В ОБЛАСТИ УПРАВЛЕНИЯ ПАССАЖИРОПОТОКАМИ НА ОСНОВЕ ПУБЛИКАЦИОННОЙ АКТИВНОСТИ В РОССИЙСКОМ ИНДЕКСЕ НАУЧНОГО ЦИТИРОВАНИЯ

The article presents an analysis of publication activity in the field of passenger flow management based on the Russian scientific citation index. the field of passenger flow research is relevant for large cities such as Moscow and Saint Petersburg, due to the growth of the population and the orientation towards the development of urban public transport. The paper provides a retrospective analysis of the intensity of the publications of the main research centers of the problem and presents the authors and titles of the articles that have the most citations.

Urban public transport development in Poland in 2004-2020 Co-financed by EU: geography and disparities

Urban public transport development in Poland in 2004-2020 Co-financed by EU: geography and disparities

Reform of the Route Network as a Catalyst for Social Processes

The article examines the impact of the reform of the route network “Magistral” in Moscow on the citizens-passengers. A qualitative analysis of the comments of citizens in social networks was carried out, and problems that residents faced during the reform were found: the cancellation of the usual routes, changes in the transfer system, the renaming of routes, the transfer of stops. Differences in the vision of the development of surface urban public transport between urban planners and public transport users are found. It is concluded that passengers were not familiar with the new transport paradigm, it seems to them illogical and not suitable for the pattern of habitual movements, as well as leading to the loss of the existing urban identity. The qualitative analysis revealed the desire of residents to preserve the history and memory of the place through numbering and route tracing.

Haze management: is urban public transportation priority effective?

Public transportation is often considered as a green travel mode to alleviate the negative externalities such as traffic congestion and haze pollution generated from transport. However, is prioritizing urban public transportation actually conducive to haze emission reduction? In this study, considering special emphasis on the cumulative effect of haze, a dynamic panel model is constructed to analyze and quantify the impact of public transportation on haze pollution by using the data of 284 cities in China, and the heterogeneity of the impact in cities with different pollution levels is examined. Several interesting findings are derived from the empirical results. First, the development of urban public transportation can significantly alleviate urban haze pollution. Second, the haze reduction effect of public transportation in cities with different pollution levels is non-universal. Comparatively speaking, the haze reduction effect of public transportation in lightly polluted cities is more evident than that in heavily polluted cities. Therefore, in order to reduce haze pollution in a more effective manner, China should continue to promote urban public transportation priority strategy. Moreover, the government should also formulate differentiated traffic development strategies to effectively alleviate the urban traffic burdens.

Perspektif Urban Public Transportation dalam Kajian Meta-Analysis

Urban public transportation is transportation system developed for the public interest that prioritizes the optimal integration of various resources and infrastructure in order to achieve sustainable city that is guided by green technology. The development of urban public transportation through scientific evolution that prioritizes the diversity of knowledge and technology as effort to create environmentally friendly city that is oriented towards sustainable development. Qualitative methods are applied in the analysis of themes studied by developing a meta-analysis. Primary data was obtained from the collection of scientific journals published from 1966 to 2020 as part the analysis of scientific literature. The results of study stated that there was significant increase in the number of papers and number of citations in last twenty years which indicated an improvement in knowledge development. There are several topics that have novelty that were found after an analysis on the theme of urban public transportation includes service quality, public space, transportation engineering, regulation, and bus rapid transit. For this reason, new topics found need to be followed up in further research in line with current technological developments.

Analysis of Passenger Flows Served by Bus Routes in the city of Khujand

The study considered the role of passenger road transport as one of the most important sectors of the national economy, which influences the entire economy of a country and its regions, as well as the quality of life of the population.The analysis of the transport system in the city of Khujand, which is mainly dominated by road transport, has been carried out based on the results of the conducted survey on passenger flows on bus routes of the city, particularly, regarding origin-destination matrix, fare collectability.The conclusions argue in favour of practicability of conducting regular systematic monitoring of passenger flows to optimize suggestions in the field of urban public transport development. In fundamental terms, main problems of passenger transportation management were identified including lack of a regular timetable on certain routes, non-compliance with the traffic schedule, resulting in an increase in travel time, changes in routing due to the absence of sufficient number of passengers, systematic violations of traffic rules, excessively long stops at the hub stopping points, etc. The suggestions comprise approaches intended to reduce influence of organisational and managerial factors on efficiency of passenger transportation, on the correct choice of rolling stock, that should be selected considering design features, possibility of serving all segments of the population (categories of passengers), traffic intensity, manoeuvrability, compliance with road conditions, etc. Conclusions were also made regarding techniques to justify the volume of passenger transportation, to identify average distance of passenger’s trip, to calculate technical, operational, and quality indicators of operation of public transport, distribution of passengers per routes.The analysis of the structure of passenger flows since it influences the indicators of the effectiveness of passenger transportation, plays the most significant role in the framework of development of new approaches to the solution of transport issues in the city of Khujand.Implementation of full-scale monitoring of passenger flows will make it possible to develop appropriate timetables facilitating movement of passenger flows on routes, to select a rational type of rolling stock in terms of capacity, will contribute to time-saving passenger travelling, socialisation of transport tariffs, and improved quality of transportation.

Sustainable Low-Carbon Development of Urban Public Transport: International and Russia’s Experience

The rapid growth of cities all over the world has inevitably led to the aggravation of economic, social and environmental problems. In this regard, developing «green», low-carbon, circular and other new economic models is necessary. Transport sector is an important source of greenhouse gas emissions and air pollutants. The purpose of this work is to assess the impact of urban public transport, especially electric buses, on the air quality. The authors have analyzed international and Russia’s experience of the low-carbon development of urban public transport and evaluated the environmental effects of transitioning to electric buses in Moscow using a regression model and data visualization tools. The results have shown that integrating electric buses into an urban transport system can be considered as a step towards the low-carbon development of the transport sector. The authors have identified a decrease in carbon monoxide (CO) pollution in the districts of Moscow where there are electric bus routes. Although the authors managed to demonstrate positive aspects of using e-buses instead of traditional ones, the proposed hypotheses were not fully confirmed due to limited data and a small number of electric bus routes at an early stage of the project. The results of the work can be used both in theoretical studies of sustainable development and practical implementation of programs for the low-carbon development of an urban transport network

Penentuan Rute dan Stasiun Transportasi Trem di Kecamatan Somba Opu, Kabupaten Gowa

Based on the general plan for the development of land transportation in 2015-2035, the Indonesian Ministry of Transportation has a direction for the development of urban mass public transportation in order to support movement between centers of activity and the provision of reliable and competitive transportation services. This study aims to identify the most influential factors in the consideration of determining routes and stations, determine potential tram routes, and determine the location of potential tram stations in Somba Opu Subdistrict. This research was carried out from October 2019 until April 2020, located in Somba Opu District, Gowa Regency. This research is a descriptive study, with quantitative and qualitative approaches. The analysis techniques used in this study were expert choice analysis, MAT and spatial analysis (desire line, network analyst, overlay, and grid-based. The results of this study indicate that: 1) The priority factors in determining the route are road network characteristics, community movement patterns, the distribution of activity centers, land use, and population distribution, while in determining the location of the station the priority criteria are close to the location of the generator. , location of attraction, as well as intermodal integration considerations; 2) The tram route of Somba Opu Subdistrict passes arterial and collector roads (Jl. Sultan Hasanuddin - Jl. Andi Mallombasang - Jl. Poros Malino); 3) The potential location to become a station location is the grid which has a value of 86% -100% (very potential). The tram station is located on Jl. Andi Mallombasang, Sungguminasa Village.

Understanding the influencing factors of bicycle-sharing demand based on residents’ trips

Bicycle-sharing is an eco-friendly transportation operating model in the context of “Internet Plus” and the sharing economy. It not only meets the short-distance travel needs of residents but has great significance for promoting the sustainable development of urban public transportation. However, a series of problems have appeared in the bicycle-sharing market, such as unreasonable resource allocation, low operating efficiency and management difficulties. Based on booking data and GPS trajectory data in Beijing of Mobike, this paper statistically analyzes the spatial and temporal distribution characteristics of residents’ bicycle-sharing trips. Then, we construct a multi-factor influence model of bicycle-sharing demand based on a negative binomial regression and variable selection model, which quantifies a series of factors that influence bicycle-sharing trips, such as population and the regional economy, building land attributes, transportation accessibility, weather, and climatic conditions, etc. The results show that, firstly, there is a spatial imbalance in the distribution of bicycle-sharing demand among different districts in Beijing. Bicycle-sharing demand is mainly concentrated in the six core districts of the city, with more than 80% of all demand. We also find that the bicycle-sharing demand has different distribution characteristics on working days and nonworking days. Compared with nonworking days, residents’ demand for bicycle-sharing on weekdays shows obvious peak periods in the morning, noon, and evening. Secondly, factors that have a major impact on the demand for bicycle-sharing include: per capita disposable income, pass facilities, parking lots etc. Among them, factors such as per capita disposable income, pass facilities, parking lots and bus/subway stations have a significant positive influence on bicycle-sharing demand. However, the number of functional zones such as airports, ports and marinas, tourist attraction and automobile sales has a significant negative influence. In addition, a comfortable temperature and good air quality encourage residents to use bicycle-sharing more for travel, while high humidity is not conducive to bicycle-sharing. We suggest that companies and related departments should jointly participate in the regulation and management of the bicycle-sharing industry, in various aspects such as bicycle scheduling, bicycle management and industry systems. In this way, cities can allocate bicycle-sharing resources reasonably and improve overall operating efficiency. The advantages of bicycle-sharing can be better used to promote the sustainable development of urban public transportation in the future.

Intelligent public transport cloud platform dispatching operation management system development

In recent years, with the rapid development of various cities, the operation and maintenance of the public transport system has become increasingly prominent problems, the development of the intelligent public transport system has been imperative. This paper takes the intelligent public transport system as the research object, using wireless network transmission technology, big data retrieval and processing, cloud computing platform and other technologies, analyzes the main requirements of the intelligent public transport system. This system adopts the classic three-layer architecture of the Internet of Things, namely, the perception layer, the network layer and the platform layer. Intelligent public transport dispatching system is the core system of intelligent public transport. The paper uses frog leaping algorithm as the dispatching algorithm to realize the function of public transport dispatching. Through the test, it can complete the task of adding or reducing vehicles according to the increase or decrease of passenger flow. The design and implementation of the cloud platform provides a strong support for the renewal and development of modern urban public transportation system, and has a certain guiding significance. As a complete system with more rapid and accurate management, more convenient and efficient operation, it improves the public transport dispatching ability and improves the travel experience of passengers, and has a cross-era significance for the development of urban public transportation.

Measuring pedestrian accessibility of Transit Oriented Development area in surabaya (a study case: Joyoboyo Terminal)

The Surabaya government has embarked development of urban public transportation to reduce the tendency of private vehicle usage. Urban transport development is also coupled with strategic planning for development around stations, known as transit-oriented development (TOD). The TOD areas are still in pre-development planning phases as the Surabaya mass rapid transit project has not started yet. One of the pre-development planning TOD in Surabaya is Joyoboyo Terminal. This research aims to evaluate Joyoboyo TOD readiness to represent the area where people are physically able to walk. The accessibility of Joyoboyo TOD measured by distance traveled to Joyoboyo terminal. Findings showed only 53.04% of Joyoboyo TOD is accessible in current condition and it is increased 6.7% if scenario 2 applied. The accessibility map represents a suitable area for public space and a decent area for high-density housing in Joyoboyo TOD. These findings represent the basis requirements for developing a TOD area in Surabaya, especially Joyoboyo TOD.

Spatial Pattern and Hotspots of Urban Rail Public Transport to Public Access Using Geospatial Techniques in Selangor, Malaysia

Currently, the trends in urban public transport have been changing over the years in developing countries for mobilization and accessibility development. Urban public transportation systems are the most popular in Selangor State, including big cities such as the Klang Valley Region. Objective measures of spatial pattern and hotspots have been used to understand how urban public transport development relate to open access. This method relies on specific spatial information and available web-based tool that shows the pattern primarily based on given vicinity and statistics connectivity. To date, several studies have finished tested in developed countries. In this study, we use Geographic Information Systems to analyse and consider hotspots identification precisely and efficaciously. Therefore, in this paper, we focus on two types of point sample evaluations – Gi* hot spot and point density analysis evaluation as statistical operations. Public rail transport was evaluated as a validation to describe the percentage of distribution of open access. The final result, GIS mapping capabilities to show that GIS's technology offers to the variation of urban public transport relate to public services, is to create maps and spatial interpretations.