scholarly journals Public Transport Planning and Management in Developing Countries

2014 ◽  
Author(s):  
Ashish Verma ◽  
T.V. Ramanayya
2012 ◽  
Vol 209-211 ◽  
pp. 624-627
Author(s):  
Xin Yi Shi ◽  
Hang Fei Lin

With the development of public transport system, more and more people rely on public transport to travel. By the means of statistical method, the paper studies the travel temporal distribution of bus and subway and the differences between the weekday and weekend based on the smart card data in Shenzhen, aiming to find the characteristics of transit trips in developed cities of China and provide references for urban transport planning and management. The results of this study show that the number of trips in weekday is 205,000 more than weekend, while the mode in workday and weekend have little difference, where the subway accounts for 80 percent and buses account for 20%; more bus trips in weekday and more subway trips in weekend; the peak is more obvious in weekday than that in weekend.


Author(s):  
Michael J. Saunders ◽  
Lasha Nakashidze ◽  
Aleksei Lugovoi

Traditional transport planning methods are costly and require an advanced degree of understanding not only from the involved transport planning professionals, but also the politicians who must approve the resulting outcomes and transport interventions proposed that are based on these traditional methods. A different approach is proposed for small and medium-sized cities in developing countries that have less technical expertise and fewer financial resources to improve their public transport situation. This approach was trialed in a medium-sized city in West-Asia (Batumi, Georgia) and also in Central Asia, in a larger city (Bishkek, Kyrgyzstan). The planning interventions suggested in the medium-sized city were validated by an independent consultant at the request of Batumi City planning agency, using traditional transport planning methods, which shows promise for the new low-cost method proposed. With additional validation and research, it may be possible to expand and apply this method to South Asia, sub-Saharan Africa, and any other area of the world suffering from similar transport planning constraints to these developing regions. If successful, these planning methods could rapidly transform such cities and urban areas to become less carbon intensive and concurrently more efficient and comfortable for public transport users.


2021 ◽  
Vol 006 (02) ◽  
pp. 35-39
Author(s):  
Rendra Adinata ◽  
Wike Wike ◽  
Alfi Haris Wanto

The changes and challenges in public transport in developing countries are need to be address with the right policy, yet to make the right policy, we need to identify the main problem and characteristics of public transport in developing countries itself. This article explain the characteristics of public transportation in developing countries using literature review. In general, it is based on its organization, multimodal transport planning and finance, fare control, fare exemptions and social obligations, vehicle specifications, competition and regulation and finally ownership and investment.


2020 ◽  
Vol 12 (19) ◽  
pp. 8070
Author(s):  
Jiawei Gui ◽  
Qunqi Wu

The transportation utility values calculated by traditional utility methods are not comprehensive. Some objects and factors are ignored in traditional utility methods, and this narrow perspective is their primary drawback. In intelligent transportation systems, it is necessary to calculate transportation utility for promoting public traffic planning and management. To build a sustainable intelligent transportation system, modified utility methods are essential to analyze transportation utility in a comprehensive way with innovative technologies and efficient communication systems. To solve the disadvantages of traditional utility methods, it is necessary to establish a new method to build sustainable public transport in the future. In this study, the Multiple Utility Method and Transportation Utility Method are proposed for public transport planning and management from multiple perspectives. A sample is presented to provide a better description, and 69,174 GPS-equipped taxi data in Haikou are adopted for the application of the Transportation Utility Method. The results show that the transportation utility values calculated by the Transportation Utility Method are more comprehensive than the transportation utility calculated by traditional utility methods. This indicates that it is necessary to calculate transportation utility from multiple perspectives based on the Transportation Utility Method. Future directions could include improving the methods, considering more factors, expanding the data used, and extrapolating this research to other cities around the world with similar urban metrics and urban form.


2021 ◽  
Vol 13 (4) ◽  
pp. 2178
Author(s):  
Songkorn Siangsuebchart ◽  
Sarawut Ninsawat ◽  
Apichon Witayangkurn ◽  
Surachet Pravinvongvuth

Bangkok, the capital city of Thailand, is one of the most developed and expansive cities. Due to the ongoing development and expansion of Bangkok, urbanization has continued to expand into adjacent provinces, creating the Bangkok Metropolitan Region (BMR). Continuous monitoring of human mobility in BMR aids in public transport planning and design, and efficient performance assessment. The purpose of this study is to design and develop a process to derive human mobility patterns from the real movement of people who use both fixed-route and non-fixed-route public transport modes, including taxis, vans, and electric rail. Taxi GPS open data were collected by the Intelligent Traffic Information Center Foundation (iTIC) from all GPS-equipped taxis of one operator in BMR. GPS probe data of all operating GPS-equipped vans were collected by the Ministry of Transport’s Department of Land Transport for daily speed and driving behavior monitoring. Finally, the ridership data of all electric rail lines were collected from smartcards by the Automated Fare Collection (AFC). None of the previous works on human mobility extraction from multi-sourced big data have used van data; therefore, it is a challenge to use this data with other sources in the study of human mobility. Each public transport mode has traveling characteristics unique to its passengers and, therefore, specific analytical tools. Firstly, the taxi trip extraction process was developed using Hadoop Hive to process a large quantity of data spanning a one-month period to derive the origin and destination (OD) of each trip. Secondly, for van data, a Java program was used to construct the ODs of van trips. Thirdly, another Java program was used to create the ODs of the electric rail lines. All OD locations of these three modes were aggregated into transportation analysis zones (TAZ). The major taxi trip destinations were found to be international airports and provincial bus terminals. The significant trip destinations of vans were provincial bus terminals in Bangkok, electric rail stations, and the industrial estates in other provinces of BMR. In contrast, electric rail destinations were electric rail line interchange stations, the central business district (CBD), and commercial office areas. Therefore, these significant destinations of taxis and vans should be considered in electric rail planning to reduce the air pollution from gasoline vehicles (taxis and vans). Using the designed procedures, the up-to-date dataset of public transport can be processed to derive a time series of human mobility as an input into continuous and sustainable public transport planning and performance assessment. Based on the results of the study, the procedures can benefit other cities in Thailand and other countries.


Author(s):  
Maria Spichkova ◽  
Margaret Hamilton

Transport systems are major emitters of greenhouse gases, which makes environmental sustainability of any transport a crucial issue. Another issue is the lack of a systematic approach to the modeling and implementation of public transport systems. Finally, there are problems with the human interfaces to public transport systems, which do not encourage, and many do not allow, comfortable and simple interaction with the system. In this chapter, the authors discuss their solutions for these problems, explaining how to cover the existing gaps in a methodological and systematic way. The main contribution of this chapter is a model of an on-demand transport system that covers all the points mentioned above and focuses on spatial planning and optimizations including environmental issues in transport planning.


This chapter deals with data production within the paradox of big-no data in urban logistics. More precisely, the chapter aims to make an overview on data production in urban logistics and present the main issues, as well as a framework, to overcome that paradox. First, the big-no data paradox is defined and motivated. Second, the question of demand and route estimation in urban logistics is examined more in-depth via an overview of current data production methods and techniques used to estimate demand and transport flows. Third, a framework to produce unified databases filling those data lacks is introduced as well as an analysis on how the different data production techniques can be used to overcome that paradox. Finally, research directions regarding urban goods transport data production are provided.


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