scholarly journals TOD Typology Based on Urban Renewal: A Classification of Metro Stations for Ningbo City

2021 ◽  
Author(s):  
Liu Yang ◽  
Xiaoyu Song
Keyword(s):  
Urban Development ◽  
Public Transportation ◽  
Transportation System ◽  
Transportation Systems ◽  
Rail Transit ◽  
Learning Technology ◽  
Practical Applications ◽  
Subway Stations ◽  
Surrounding Areas ◽  
Area Classification

AbstractIn recent decades, the transit-oriented development (TOD) concept has been widely used all over the world, especially in China, for the massive construction of urban public transportation systems with rail transit as the backbone. However, it is not easy to make significant changes in a city while building a transportation system, and the transit-guided urban development expected by the TOD concept has not been completely realized. The transformation of nearby areas with the guidance of transit is also becoming the choice of many Chinese cities, especially for cities that have only had subways for a few years. Unlike other international metropolitan cities, with metro systems of considerable scale, the modernization process of most of the small and medium-sized cities in China is being carried out simultaneously with metro-based public transportation guidance. For cities which are still in their initial stage of the backbone public transportation system, there is not enough previous experience and evidence to support the suitability of TOD typological analysis based on the node-place model. More research based on the node-place model has also shown practical applications of the TOD in developed cities. However, there are very few studies that analyse cities in which rail transit and urban development are both in a period of rapid growth. The goal of this research is to identify which metro stations in these cities are suitable for TOD improvement and optimization. This article attempts to expand the willingness of residents on the basis of the traditional node-place model as one of the judgment indicators for evaluating whether existing stations and surrounding areas are suitable for TOD improvement. At the same time, traditional statistical analysis is combined with GIS and machine learning technology. Using this method, we propose the TOD improvement-oriented station area classification and identification method based on TOD typology theory. The results show that Ningbo's subway stations can be divided into four categories according to the suitability for TOD improvement, and we selected seven stations suitable for TOD improvement according to the characteristics of the node-place model. The practice in Ningbo has proved that this method is effective for identifying sites suitable for TOD improvement, especially for cities that have recently built subways.

scholarly journals Passenger Satisfaction Evaluation of Public Transportation Using Pythagorean Fuzzy MULTIMOORA Method under Large Group Environment

2020 ◽  
Vol 12 (12) ◽  
pp. 4996 ◽  
Author(s):  
Xu-Hui Li ◽  
Lin Huang ◽  
Qiang Li ◽  
Hu-Chen Liu
Keyword(s):  
Public Transportation ◽  
Transportation System ◽  
New Method ◽  
Rail Transit ◽  
Transit Network ◽  
The Public ◽  
Passenger Satisfaction ◽  
Group Environment ◽  
Public Transportation System ◽  
Satisfaction Evaluation

Passenger satisfaction is an important factor that affects the choice of travel modes for municipalities, especially in big cities. This evaluation is an important task for managers when they are considering improving the competitiveness of the public transportation system. However, passenger satisfaction evaluation is difficult as the information provided by passengers is often vague, imprecise, and uncertain. This paper aims to propose a new method, using Pythagorean fuzzy sets and multi-objective optimization by a ratio analysis plus full multiplicative form method (MULTIMOORA), to evaluate the passenger satisfaction level of the public transportation system under large group environment. The former is employed to represent the satisfaction assessments of rail transit network provided by passengers. The latter is extended and used to determine the passenger satisfaction levels of rail transit lines. In addition, a combination weighting method is suggested to compute the relative weights of evaluation criteria. A case study of the rail transit network in Shanghai is provided to demonstrate the effectiveness of the proposed passenger satisfaction evaluation method. The result shows that the new method proposed in this study can not only model passengers’ satisfaction evaluation information with more uncertainties, but also determine more reasonable and credible satisfaction levels of rail transit lines.

scholarly journals Reducing Commuter CO2 Footprint through Transit PV Electrification

2020 ◽  
Vol 12 (16) ◽  
pp. 6406
Author(s):  
Zakariya M. Dalala ◽  
Mohammad Alnawafa ◽  
Osama Saadeh ◽  
Emad Alnawafa
Keyword(s):  
Renewable Energy ◽  
Greenhouse Gas ◽  
Public Transportation ◽  
Power Plants ◽  
Ghg Emissions ◽  
Main Idea ◽  
Electrical Energy ◽  
Transportation System ◽  
Transportation Systems ◽  
Transport Sector

The transport sector is a major consumer of energy, and thus a major contributor to greenhouse gas (GHG) emissions. The introduction of Electric Vehicles (EVs) has helped in mitigating some of the energy demands presented by the transportation system, though the electrical energy still needs to be secured through conventional and renewable resources. Searching for a new power source for vehicles has become necessary, due to incentives and policy initiatives to counter fossil greenhouse gas emissions. This study provides a new efficient Photovoltaic (PV) powered transportation system, which may be utilized instead of traditional public transportation systems. The main idea is to transform the transportation systems used by large campuses into green systems by deploying educated scheduling approaches and utilizing existing renewable energy infrastructures. The German Jordan University (GJU) campus was chosen as a case study. The presented work describes a comprehensive methodology to exploit the full capacity of the existing PV power plant coupled with the rescheduling of the transportation fleet to meet the energy availability and consumption demand. The proposed technique audits the existing renewable energy power plants for optimum operation. The results validate the efficiency of the proposed system and its ability to reduce carbon dioxide (CO2) emissions compared to traditional transportation systems with an acceptable payback period.

Changing Transportation System in University Campus by Cycling and its Impact on Socio-Cultural Characteristics

2015 ◽  
Vol 747 ◽  
pp. 64-67
Author(s):  
Shirin Vosoughi ◽  
Mohd Johari Mohd Yusof ◽  
Nasir Baharuddin
Keyword(s):  
Public Transportation ◽  
Public Awareness ◽  
Transportation System ◽  
Transportation Systems ◽  
College Campus ◽  
University Campus ◽  
Student Body ◽  
The Public ◽  
Research Interview ◽  
Culture Characteristics

In Malaysia, universities’ public transportation is less than ideal. This discourages its vast public acceptance and use, particularly in the favor of using private vehicles. That in turn shows its adverse effects, such as traffic jams, environmental pollution, etc. Universities are respected institutions, and pace-setters, in the position to alter and improve the "intellectual culture" in any society. A college campus is open to the public, and its scrutiny. The way public transportation is managed in the campus, could serve as a model for the whole community in large. If we establish an efficient streamlined public transportation system on campus, well received by the faculty, student body and personnel, it would not be long before it is noted by the whole community. A college campus in a sense is public, and belongs to all. Moreover, University Putra Malaysia (UPM) is a leading institution among the other Malaysian universities, notable for its sustainable physical layout. From the research, interview and discuss had been done regarding the effectiveness of power position and municipal authorities. It includes the input from a questionnaire filled by 100 students of UPM University, regarding improvement of public transportation and green transportation systems. This research also addresses a variety of transportation systems -especially cycling- and their conduciveness to social interaction on campus. In this study, we will have the provisions to incorporate our suggested solutions to campus transportation system, into the overall layout of campus planners and university organizers. Ideas and recommendations for solutions would be considered at the end of the study. The ideas and improvements should be well publicized, to promote the public awareness, and its acceptance. In time, it would be engrained as a cultural improvement. Without acceptance, any change would be of little use. Key words: Socio-culture characteristics, in campus transportation, social interactions.

scholarly journals A Deep Learning Model with Conv-LSTM Networks for Subway Passenger Congestion Delay Prediction

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wei Chen ◽  
Zongping Li ◽  
Can Liu ◽  
Yi Ai
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Learning Technology ◽  
Short Term ◽  
Average Delay ◽  
Passenger Flow ◽  
Subway Stations ◽  
Delay Prediction

When urban rail transit is faced with a large number of commuter passengers during peak periods, passengers are often waiting for the next train because the subway is running at full load, which causes delays to the overall travel time of passengers. The calculation and prediction of the congestion delay in subway stations can guide the operation department and passengers to make better planning and selection. In this paper, we use a new method based on deep learning technology to evaluate the congestion delay of subway stations. Firstly, we use automatic fare collection (AFC) system data to evaluate the congestion delays of stations. Then, we use a convolutional long short-term memory (Conv-LSTM) network to extract spatial and temporal characteristics to solve the short-term prediction problem of the subway congestion delay in the network structure. The spatiotemporal variables include inbound passenger flow, outbound passenger flow, number of passengers delayed, and average delay time. As a spatiotemporal sequence, the input and prediction targets are both spatiotemporal three-dimensional tensors in the end-to-end training model. The effectiveness of the method is verified by a case study of the Chongqing Rail Transit. Experimental results show that Conv-LSTM is better than the benchmark models in capturing spatial and temporal correlation.

scholarly journals Kesertaan Warga Senior Jakarta pada Sistem Transportasi Era Industri 4.0

2020 ◽  
Vol 9 (2) ◽  
pp. 71
Author(s):  
Mukhlisya Dewi Ratna Putri ◽  
Reni Karno Kinasih ◽  
Nabila Nabila Nabila
Keyword(s):  
Regression Analysis ◽  
Key Words ◽  
High Activity ◽  
Public Transportation ◽  
Senior Citizens ◽  
Major Change ◽  
Transportation System ◽  
Transportation Systems ◽  
Digital Systems ◽  
Activity Data

AbstractJakarta, the capital of Indonesia, undertook a major change of the transportation system, digitization of the transportation system was initiated by implementing a cashless payment system on the Commuter line in Jabodetabek, followed by implementing BRT with Busway mode, then MRT and LRT all of them are also cashless. All-digitization and application-based transportation systems force people to change. This is a trouble for senior citizens and is alleged to be one of the factors that causes them to be reluctant to switch to public transportation.This study analyzes the hypothesis that the reluctance of people of late adulthood to late elderly to use public transportation is due to the difficulty in understanding the digitalization system that is applied and because of the low level of respondents' trust in digital systems in public transportation. The study was conducted by distributing closed questionnaires to respondents who are Jabodetabek (Jakarta-Bogor-Depok-Tangerang-Bekasi) residents aged 45 years to 65 years who still have a fairly high activity, data tabulated then performed regression analysis. Key words: transportation system 4.0 era, transportation digitization, elderly transportation ­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­AbstrakDaerah Khusus Ibu Kota Jakarta, ibu kota Indonesia, melakukan perombakan besar pada sistem transportasi, digitalisasi pada sistem transportasi diawali dengan menerapkan sistem pembayaran tanpa uang tunai (cashless) pada Commuter line di Jabodetabek, disusul dengan mengimplementasi BRT dengan moda Busway, kemudian MRT dan LRT yang semuanya juga cashless. Sistem transportasi yang serba didigitalisasi serta berorientasi pada aplikasi memaksa masyarakat untuk berubah. Hal ini merepotkan bagi warga senior dan disinyalir menjadi salah satu faktor yang menyebabkan mereka enggan untuk beralih ke transportasi publik.Penelitian ini menganalisa menguji hipotesa bahwa keengganan masyarakat usia dewasa akhir hingga lansia akhir untuk menggunakan transportasi umum adalah karena kesulitan memahami sistem digitalisasi yang diterapkan dan karena rendahnya tingkat kepercayaan responden terhadap sistem digital pada transportasi umum. Penelitian dilakukan dengan menyebarkan kuesioner tertutup kepada responden yang merupakan warga jabodetabek berusia 45 tahun hingga 65 tahun yang masih mempunyai aktivitas yang cukup tinggi data ditabulasi kemudian dilakukan analisa statistik dengan SPSS.Kata kunci: sistem transportasi era 4.0, sistem transportasi, digitalisasi transportasi. 

Creating Smart Cities with Intelligent Transportation Solutions

2011 ◽  
pp. 174-190 ◽  
Author(s):  
Leo Tan Wee Hin ◽  
R. Subramaniam
Keyword(s):  
Public Transportation ◽  
Intelligent Transportation Systems ◽  
Electronic Monitoring ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Transportation Systems ◽  
Signaling Systems ◽  
Public Transportation System ◽  
City State

Transportation is often the bane of urban societies. Traffic gridlocks and inadequate availability of a comprehensive and affordable public transportation system further accentuate the problem. This chapter focuses on the Singapore experience with intelligent transportation solutions to alleviate a range of problems, thus contributing to its positioning as a smart city. We focus on seven issues: public transportation using modern mass rapid transit trains; congestion control using electronic road pricing; electronic monitoring advisory systems to guide road users on adverse conditions or incidents on roads; computerized traffic signaling systems to streamline the throughput of vehicles in roadways; intelligent dispatch of taxis, which helps to minimize idle cruising time; parking guidance systems to alert motorists of the nearest car park, in the process decreasing the level of floating traffic on roads; and integrated ticketing systems to promote inter-modal transfer. A unique funding mechanism that has led to the evolution of a modern and efficient public transportation system is also elaborated. Being a city state and a living laboratory of intelligent transportation systems that have attracted international attention, it is suggested that there are some lessons to be drawn from the Singapore experience in managing transportation problems in smart cities.

Impacts of Rail Transit on the Performance of a Transportation System

2005 ◽  
Vol 1930 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Todd Litman
Keyword(s):  
Traffic Congestion ◽  
Comprehensive Evaluation ◽  
Transportation System ◽  
Transportation Systems ◽  
Environmental Benefits ◽  
Rail Transit ◽  
Vehicle Ownership ◽  
Transit Systems ◽  
Transit Ridership ◽  
Per Capita

This paper summarizes research on the effects of rail transit on the performance of transportation systems in major U.S. cities. It summarizes results from the study Rail Transit In America: Comprehensive Evaluation of Benefits, which evaluates rail transit benefits on the basis of comparison of transportation system performance in major U.S. cities. It finds that cities with larger, well-established rail systems have significantly higher per capita transit ridership, lower average per capita vehicle ownership and mileage, less traffic congestion, lower traffic death rates, and lower consumer transportation expenditures than otherwise comparable cities. These findings indicate that rail transit systems can provide a variety of economic, social, and environmental benefits and that benefits tend to increase as a system expands and matures.

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