Towards Walkability: Qualitative Assessment of Pedestrian Environment in Yogyakarta and Singapore

After the publication of Urban Sprawl and Public Health, the argument of providing nice pedestrian facilities is not only concerned about the aesthetic and social aspects, but also about the health improvement of the people. The shift has made the world's major cities realize the importance of good pedestrian design. Walkable city has become the current goal in city development for most countries in South-east Asia, including Indonesia and Singapore. Indonesian cities such as Surabaya and Jakarta have made attempts on promoting walking habits through several programs such as children friendly public space development and riverfront revitalization. Yogyakarta, one of Indonesia’s major cities, still struggles in encouraging its citizens to walk more. This study observed the current condition of the city’s pedestrian system and facilities. The result showed that the main cause of the discouragement is the street condition that doesn’t put the pedestrian as the prime user. Improvements have been made at several sections of the street, showing the government's real effort on fixing the problem. Comparative study with Singapore’s pedestrian facilities was conducted and it showed that to encourage people to walk, it is not just about providing good street infrastructure, but more to enhancing people’s walking experience.

Multi-criteria path rationalization in the conditions of multi-type passenger transport systems

The article proposes methods of searching passenger travel routes in conditions where one or more optimization criteria must be taken into account in the presence of a pedestrian system and multi-type transport systems with their topologies, sets of parameters and tariff plans. The author carried out the research by means of mathematical modeling of the transport system in the form of its deterministic graph model. The author chose Dijk-stra's algorithm as the basic algorithm, on the basis of which the modifications of the previous ones were carried out and the construction of a new search technique was carried out. As a result, the study obtained algorithms for solving single-criteria and multi-criteria problems on graphs. For multicriterial problems, the author used the convolution method and the method of ordering criteria by the degree of decreasing their significance. The field of application of the developed algorithms is information systems focused on the end user and on the structures that design and manage transport networks.

Promoting a Lower Carbon Footprint using an Enhanced Pedestrian-Friendly Model

Walking has significantly contributed to a lower carbon emission of a country. With the aspiration of a lesser carbon footprint zone, the initiatives of understanding the current pedestrian system are crucial. Although walking improves green mobility, it is still known as the least preferred mode. Thus, this study aims to improve pedestrian walkways and promote a higher level of usage of pedestrian walkways by analyzing the critical factors contributing to the lower carbon footprint among the urban dwellers. The results will help to improve a lower carbon footprint practice in the metropolitan area.Keywords: Pedestrian,Friendly,Low Carbon,SatisfactioneISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v5i13.1982

Research on Longitudinal Active Collision Avoidance of Autonomous Emergency Braking Pedestrian System (AEB-P)

The AEB-P (Autonomous Emergency Braking Pedestrian) system has the functional requirements of avoiding the pedestrian collision and ensuring the pedestrian’s life safety. By studying relevant theoretical systems, such as TTC (time to collision) and braking safety distance, an AEB-P warning model was established, and the traffic safety level and work area of the AEB-P warning system were defined. The upper-layer fuzzy neural network controller of the AEB-P system was designed, and the BP (backpropagation) neural network was trained by collected pedestrian longitudinal anti-collision braking operation data of experienced drivers. Also, the fuzzy neural network model was optimized by introducing the genetic algorithm. The lower-layer controller of the AEB-P system was designed based on the PID (proportional integral derivative controller) theory, which realizes the conversion of the expected speed reduction to the pressure of a vehicle braking pipeline. The relevant pedestrian test scenarios were set up based on the C-NCAP (China-new car assessment program) test standards. The CarSim and Simulink co-simulation model of the AEB-P system was established, and a multi-condition simulation analysis was performed. The results showed that the proposed control strategy was credible and reliable and could flexibly allocate early warning and braking time according to the change in actual working conditions, to reduce the occurrence of pedestrian collision accidents.