Analytical Model to Estimate Ride Pooling Traffic Impacts by Using the Macroscopic Fundamental Diagram

Ride pooling services are considered as a customer-centric mode of transportation, but, at the same time, an environmentally friendly one, because of the expected positive impacts on traffic congestion. This paper presents an analytical model that can estimate the traffic impacts of ride pooling on a city by using a previously developed shareability model, which captures the percentage of shared trips in an area, and the existence of a macroscopic fundamental diagram for the network of consideration. Moreover, the analytical model presented also investigates the impact that improving the average velocity of a city has on further increasing the percentage of shared trips in an operation area. The model is validated by means of microscopic traffic simulations for a ride pooling service operating in the city of Munich, Germany, where private vehicle trips are substituted with pooled vehicle trips for different penetration rates of the service. The results show that the average velocity in the city can be increased by up to 20% for the scenario when all private vehicle trips are substituted with pooled vehicle trips; however, the improvement is lower for smaller penetration rates of ride pooling. The operators and cities can use this study to quickly estimate the traffic impacts of introducing a ride pooling service in a certain area and for a certain set of service quality parameters.

Development Trends in Automation

This chapter analyzes current development trends in automation. The chapter begins by discussing the history of automation in the 21st century, beginning with Honda's creation of ASIMO. Next, the chapter analyzes how automation gave rise to the relocating of many Western manufacturing centers to Asia, particularly those in the United States. The chapter then analyzes trends in the development of autonomous vehicles. This section includes a detailed projection of likely developments over the next several decades, such as the impact of autonomous vehicles on private vehicle ownership. The chapter concludes with a brief summary of these trends.

Spatial-temporal variation of CO2 emissions from private vehicle use in Japan

The transport sector is a major contributor to anthropogenic climate change through the emissions of large amounts of greenhouse gases (GHGs) from fossil fuel combustion. Private vehicles account for almost half of the transport energy demand, and are thus a major target of climate change mitigation efforts. However, emissions from private vehicles can have large variability due to various geographic, demographic and socioeconomic factors. This study aims to understand how such factors affect private vehicle emissions in Japan using a nationally representative survey of household energy consumption (n=7,370) for 2017. The results indicate a large temporal and spatial variability in private vehicle emissions. Annual emissions show three peaks associated with major holiday seasons in winter and summer. Some of the more noteworthy spatial patterns are the higher emissions in prefectures characterized by low population density and mountainous terrain. Income, city size and the fuel-saving driving behavior all have a significant effect on emissions. The results indicate the need for sub-regional and socioeconomically-sensitive mitigation efforts that reflect the very different emission patterns, and the factors affecting them. The strong effect of city size, which is often much more clear-cut than between prefectures, suggests that it is more appropriate to approach transport decarbonization in Japan at the city level.

Investigation of the Relationship between the Perceived Public Transport Service Quality and Satisfaction: A PLS-SEM Technique

Public transportation (PT) service quality is recognized as a cornerstone of infrastructure development in many countries. Understanding the satisfaction level of public transport users towards provided service quality is vital. However, there is still a lack of research to identify the specific relationship between the experience of service quality and private vehicle (PV) users’ satisfaction. Therefore, this paper aimed to examine the different satisfaction attributes of PV users due to the COVID-19 pandemic and to make possible suggestions to policymakers on how to adapt to these changed attitudes. The paper highlights that some satisfaction issues became more significant, while the importance of others was mitigated due to the unusual circumstances. In this study, variance-based Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to test the proposed hypotheses. Further, Partial Least Squares Multi-Group Analysis (PLS-MGA) was conducted for investigating the perception of age and gender groups on the basis of gap analysis. An online panel and printed questionnaire survey were used to collect data in Budapest, Hungary in October and November 2020 during COVID-19 from the perception of 100 PV users. The findings show that perceived service quality and accessibility are statistically significant in the formation of PV users’ satisfaction but safety and security were not significantly related to satisfaction. Additionally, results from PLS-MGA reveal that there was a significant difference among gender and age groups in achieving satisfaction associated with safety and security. The conclusions of this study are not only beneficial for the theory of this field but also contribute to practice for policymakers in terms of providing better service with specific identification of how to encourage more private vehicle users to use public transportation.

Analisis Perbandingan Waktu Perjalanan dan Biaya antara Kendaraan Pribadi dan Transjakarta menggunakan Metode PCI (Studi Kasus : TJ Koridor IX Pinang Ranti-Pluit)

Selection of the use of transportation modes to travel from origin to destination is influenced by various factors. Factors that must be considered include travel time, vehicle operating costs (VOK), and the value of travel time. The purpose of this study is to determine which model will be chosen by the user to travel and discusses the comparative analysis of travel time and cost of public transportation modes, namely Transjakarta and private cars. This research was conducted in DKI Jakarta, precisely in the Transjakarta corridor IX Pinang Ranti-Pluit. Measurement of travel time is done by riding each mode with the same route and time. Secondary data as calculation material was obtained from agencies related to this research. This study analyzes Vehicle Operational Costs (VOK) using the Pacific Consultants International (PCI) method. The results showed that during peak hours, the use of Transjakarta was more effective in terms of time because the travel time required was 11 minutes faster than in private vehicles. Then for the costs incurred, it is also more efficient to use Transjakarta at the cost of Rp. 3,500 per trip. Meanwhile, using a private vehicle of Rp. 14,784 per person with a passenger car capacity of 7 people. During the COVID-19 pandemic, there was a provision for a passenger car capacity limit of 4 people. So the cost of using a private vehicle per person can reach Rp. 25,871.ABSTRAKPemilihan penggunaan moda transportasi untuk melakukan perjalanan dari asal ke tujuan dipengaruhi oleh berbagai macam faktor. Faktor yang diperhatikan antara lain waktu tempuh, Biaya Operasional Kendaraan (BOK) dan nilai waktu perjalanan. Untuk memperkirakan mode apa yang akan dipilih oleh masyarakat untuk bepergian, penelitian ini membahas tentang analisis perbandingan waktu tempuh dan biaya moda transportasi umum yaitu transjakarta dan mobil pribadi. Penelitian ini berlokasi di provinsi DKI Jakarta tepatnya pada koridor IX transjakarta Pinang Ranti-Pluit. Pengukuran waktu perjalanan dilakukan dengan cara menaiki masing-masing moda dengan rute dan waktu yang sama. Data sekunder sebagai bahan perhitungan, diperoleh dari instansi yang terkait dengan penelitian ini. Analisis Biaya Operasional Kendaraan (BOK) dalam penelitian ini menggunakan Metode Pacific Consultants International (PCI) Hasil penelitian menunjukkan bahwa pada jam sibuk penggunaan Transjakarta lebih efektif secara waktu karena waktu tempuh yang diperlukan lebih cepat 11 menit dibandingkan dengan kendaraan pribadi. Kemudian untuk biaya yang dikeluarkan juga lebih efisien menggunakan Transjakarta dengan biaya sebesar Rp 3.500 sekali perjalanan. Sedangkan jika dibandingkan dengan menggunakan kendaraan pribadi sebesar Rp 14.784 perorang dengan kapasitas mobil penumpang sebanyak 7 orang. Pada masa pandemic covid-19, terdapat ketentuan batas kapasitas mobil penumpang sebanyak 4 orang. Sehingga biaya menggunakan kendaraan pribadi perorangnya dapat mencapai Rp. 25.871.

Barriers associated with emergency medical service activation in Italian patients with ST-segment elevation acute coronary syndromes

Background Many ST-segment elevation acute coronary syndrome (STEACS) patients fail to activate the Emergency Medical System (EMS), with possible dramatic consequences. Prior studies focusing on barriers to EMS activation include patients with any acute coronary syndrome (ACS) without representation of southern European populations. However, barriers are influenced by the ACS type and by socio-demographic and racial factors. Purpose We aimed to investigate the barriers to EMS call for patients diagnosed for STEACS in Italy. Methods A prospective, single-center, survey-based study, including all the patients treated with primary percutaneous coronary intervention for STEACS in a tertiary hospital in northern Italy from 1st June 2018 to 31st May 2020. Results The questionnaire was filled out by 293 patients. The majority of the participants were males (74%), married (70.4%), with a high-school degree (38.4%) and with a median age of 62 years. Chest pain as a possible symptom related to a cardiovascular attack is known by most of the respondents (89%), and left arm pain/shake by 53.7% of them, whilst the other possible signs and symptoms (i.e. dyspnea, asthenia, sweating, nausea, vomiting, dizziness) were unknown to the majority of the participants. Only 191 (65.2%) of the participants activated the EMS after symptoms onset. The main reasons for not calling EMS were the perception that symptoms were not related to an important health problem (45.5%) and that a private vehicle is faster than EMS to reach the hospital (34.7%). The median time to first medical contact was 60 minutes, and it was significantly higher in the patients who did not called EMS compared to those who did (180 [60–420] mins vs 35 [15–120] mins, p<0.001). The patients who called a private doctor after symptoms onset did not called EMS more frequently than those who did not (5.9% vs 8.2%, p=0.3). Moreover, 30% of the patients who did not call the EMS would still act in the same way if a new episode occurred and the main reasons for this were that they think to be faster than EMS (57.1%) and to live close to the hospital (17.9%). Analyzing predictors of EMS activation, only prior history of cardiovascular disease has been demonstrated to be a predictor of calling the EMS in case of symptoms suspected for STEACS. Conclusions Our study, from the southern Europe, showed that a substantial percentage of patients with symptoms suspected for STEACS preferred private vehicle rather than activating the EMS. Our results highlight the need for information campaigns targeted to both the general population and medical doctors, stressing that the EMS is faster than a private vehicle to direct the patient to the right hospital and increasing the awareness of the people on the type of possible heart attack symptoms, which seem to be the most neglected issues by patients who did not call the EMS. FUNDunding Acknowledgement Type of funding sources: None.