Summary of the White Paper on Land Infrastructure Transport and Tourism
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Shizuoka Tĩnh Cương
Shizuoka Tĩnh cương しずおかしこくさいこうりゅうきょうかい 静岡市国際交流協会 tháng 12 năm 2019 Hiệp hội giao lưu quốc tế tỉnh Shizuoka きゃっしゅれすけっさい Hotline キャッシュレス決済 Chúng tôi luôn sẵn sàng chia sẻ và đồng hành cùng Thanh toán không tiền mặt( điện tử) bạn.Hãy nhấc máy và gọi cho chúng tôi khi cần nhé! Từ tháng 10 năm 2019, chính phủ Nhật Bản chính thức thực thi tăng thuế *Trụ sở Shizuoka: (hỗ trợ tiêu dùng cá nhân từ 8% lên 10%. Tại Nhật, giá thành cao cùng với mức tiếng Việt thứ 6: 13h- tiêu dùng lớn, sự tăng thuế lần này có khả năng gây ảnh hưởng lớn đến , nền kinh tế của Nhật. Vì thế, để giảm thiểu tối đa ảnh hưởng xấu, chính 17h ngoài ra còn nhiều ngôn phủ Nhật đã đồng thuận khuyến khích chiến dịch thanh toán không tiền ngữ khác) mặt và ví điện tử. Đây là cách thức thanh toán chi phí không sử dụng tiền Tell: 054-273-5931 mặt. Do sự ảnh hưởng của tăng thuế và chiến dịch “point kangen” -chiến dịch hoàn phí bằng điểm thưởng thì thanh toán không tiền mặt được lan *Trụ sở Shimizu: rộng và phát triển nhanh chóng. Mang ưu điiểm thanh toán nhanh gọn Tell:054-354-2009 nhẹ, và rủi ro thấp. Sau đây là các loại phương thức đang được sủ dụng. *Hoặc gửi mail qua: 1.Thẻ credit [email protected] Đây là dạng phương thức dùng thẻ để website: www.samenet.jp thanh toán chi phí dịch vụ, phí mua hàng mà không cần tới tiền mặt. -
Smartcard Ticketing Systems for More Intelligent Railway Systems
Hitachi Review Vol. 60 (2011), No. 3 159 Smartcard Ticketing Systems for More Intelligent Railway Systems Yuichi Sato OVERVIEW: The smartcard ticketing systems whose scope is expanding Masakazu Ito across Japan are now starting to be used not just for public transport Manabu Miyatake ticketing services but also to provide users with an infrastructure that they use in their daily lives including electronic money and mobile services, credit card integration, building access control, and student identification. Hitachi has already contributed to this process through the development and implementation of smartcard ticketing systems for different regions and is now working on the development of systems that support the implementation of smart systems that underpin society and combine information and control to provide new social infrastructure for the foreseeable future. INTRODUCTION TABLE 1. Smartcard Ticketing Systems in Japan A number of smartcard ticketing systems have been Smartcard ticketing systems have spread right across Japan introduced in different parts of Japan since the over the last 10 years. *1 Service Smartcard Suica service of the East Japan Railway Company Operator commenced operation in November 2001. As of March commenced name* 2009, systems of this type had been introduced at November, 2001 Suica East Japan Railway Company Nagasaki Transportation Bureau of Nagasaki January, 2002 about 25 companies including both JR (Japan Railway) Smartcard Prefecture and others IC Saitama Railway Co., Ltd. (switched to Group and private railway companies (see Table 1). March, 2002 The East Japan Railway Company is the leader TEIKIKEN PASMO) Monorail April, 2002 Tokyo Monorail Co., Ltd. in this field and its aims in introducing the Suica Suica service include providing its passengers with greater July, 2002 Setamaru Tokyu Corporation convenience, facilitating cashless operation at railway December, 2002 Rinkai Suica Tokyo Waterfront Area Rapid Transit, Inc. -
Rail-To-Bus and Bus-To-Rail Transfer Time Distributions Estimation Based on Passive Data
CASPT 2018 Extended Abstract Rail-to-Bus and Bus-to-Rail Transfer Time Distributions Estimation Based on Passive Data Amr M. Wahaballa · Fumitaka Kurauchi · Jan-Dirk Schmöcker · Takenori Iwamoto Abstract Transit travel time can be decomposed into walking, waiting, transfer and in-vehicle times, and some of these components can reasonably be assumed independent of one another. A practical transfer time distribution that is based on real- world data is difficult to estimate and has rarely been analysed in the literature. This may be due to the difficulty of collecting sufficient data, the dependency of transfer time and other journey time components on walking and waiting time and their variabilities. This paper utilises passive smart card data from Japan to estimate the distributions of the transfer time between bus stops and rail stations. The walking and waiting time distributions are concurrently estimated by the likelihood maximisation of a stochastic frontier model. Keywords: Transit · Transfer time · Walking time · Waiting time · Stochastic frontier model · Smart card data Amr M. Wahaballa Department of Civil Engineering, Aswan University Aswan, Egypt Email: [email protected] Fumitaka Kurauchi Department of Civil Engineering, Gifu University Gifu, Japan Email: [email protected] Jan-Dirk Schmöcker Department of Urban Management, Kyoto University Kyoto, Japan E-mail: [email protected] Takenori Iwamoto Shizuoka Railway Co., Ltd Shizuoka, Japan Email: [email protected] 1 Introduction Smart cards, utilised for automatic collection of transit fares, provide a rich and valuable data for many public transportation planning and management aspects. However, smart card data only provide the time of payment transaction which may be done at either boarding or alighting station or both (for tap-in and tap-out transaction system) without providing any information about the time spent on walking, waiting, in-vehicle or transfer among transit lines and/or modes. -
Japan's Cooperation for Urban Development in Indonesia
Japan-Indonesia Seminar for Urban Development and Housing 2017 Keynote Speech Japan‘s Cooperation for Urban Development in Indonesia Dr. Hiroto IZUMI, Special Advisor to the Prime Minister September 5, 2017 1. Comparison of Indonesia and Japan 2. Urban Development: challenges in Indonesia 3. Urban Development: experience and responses in Japan 3-1. Experiences of Urban Policy in Japan 3-2. Development of Regional Transport Network 3-3. TOD: Urban Development harmonized with Transportation Network 3-4. Urban Redevelopment 3-5. Strength of Japanese Cities: Smart City 3-6. Experiences of Housing Policy in Japan (ref.) Urban Development Schemes related to Indonesia’s challenges 4. Dissemination of infrastructure systems by Japanese government 4-1. Structure for Promoting the dissemination of infrastructure systems 4-2. Japanese cooperation in urban development and Housing in Indonesia 4-3. Japan’s principles for infrastructure cooperation 1 1. Comparison of Indonesia and Japan 2. Urban Development: challenges in Indonesia 3. Urban Development: experience and responses in Japan 3-1. Experiences of Urban Policy in Japan 3-2. Development of Regional Transport Network 3-3. TOD: Urban Development harmonized with Transportation Network 3-4. Urban Redevelopment 3-5. Strength of Japanese Cities: Smart City 3-6. Experiences of Housing Policy in Japan (ref.) Urban Development Schemes related to Indonesia’s challenges 4. Dissemination of infrastructure systems by Japanese government 4-1. Structure for Promoting the dissemination of infrastructure systems