Spatial Evaluation of Environmental Noise with the Use of Participatory Sensing System in Singapore
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20130830 Holleczek Etal Digit
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! This paper might be a pre-copy-editing or a post-print author-produced .pdf of an article accepted for publication. For the definitive publisher-authenticated version, please refer directly to publishing house’s archive system. Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks Thomas Holleczek, Liang Yu, Joseph K. Lee, Oliver Senn, Kristian Kloeckl, Carlo Ratti, Patrick Jaillet September 2, 2013 Many modern and growing cities are facing declines in public transport usage, with few efficient methods to explain why. In this article, we show that urban mobility patterns and transport mode choices can be derived from cellphone call detail records coupled with public transport data recorded from smart cards. Specifically, we present new data mining approaches to determine the spatial and temporal variability of public and private transportation usage and transport mode preferences across Singapore. Our results, which were validated by Singapore’s quadriennial Household Interview Travel Survey (HITS), revealed that there are 3.5 (HITS: 3.5 million) million and 4.3 (HITS: 4.4 million) million inter-district passengers by public and private transport, respectively. Along with classifying which transportation connections are weak or underserved, the analysis shows that the mode share of public transport use increases from 38 % in the morning to 44 % around mid-day and 52 % in the evening. 1Introduction Securing public transportation ridership is critical for developing a sustainable urban future. However, existing systems for analyzing and identifying weaknesses in public transport connec- tions face major limitations. In cities, origin-destination (OD) matrices—which measure the flow of people between di↵erent geographical regions—are often generated using household surveys and roadside monitoring, approaches which are time consuming, expensive, and lack spatial and temporal accuracy [1]. -
Affordable Excellence Singapore Healthcare Today
Epilogue to Affordable Excellence Singapore Healthcare Today: Progress Toward Sustainable High Quality Healthcare, 2013-2014 Chang Liu, Eti Bhasker, and William A. Haseltine Epilogue to affordable excellence INTRODUCTION Singapore has a remarkable healthcare system that delivers high quality care at an af- fordable cost. It is ranked sixth globally by the World Health Organization – far ahead of the United Kingdom at eighteen and the United States at thirty seven. Singapore has achieved the fourth best life expectancy rate in the world, at eighty two years.1 In 2012, Bloomberg ranked Singapore the world’s healthiest country.2 The healthcare achievements of the country – the transition to excellence, the establish- ment of guiding principles, and the development and governance of the healthcare system – are the subject of our previous book, Affordable Excellence: The Singapore Healthcare Story, by William A. Haseltine. This Epilogue is designed to bring the story up to date on system adjustments and major policy shifts since the publication of Affordable Excellence. Healthcare in Singapore has come a long way since the nation became independent in 1965. The government, institutions, and economy of Singapore have made the transition from those of a low income country to those of a high income country since the mid 1960s – a feat that is reflected in the current prosperity, improved living conditions, and high quality healthcare system. Among many measures of excellence, we find im- provements over the years in key health outcomes: life expectancy for women is cur- rently 84.5 years, versus sixty five years in 1960; life expectancy for men is currently 79.9 years, versus 61.2 years in 1960. -
Esri Demographic Data Release Notes: Singapore Release: June 2017
Esri Demographic Data Release Notes: Singapore Release: June 2017 Introduction The Esri demographic dataset for Singapore provides key population and household attributes for use in a variety of applications. Release notes provide information such as the attribute list, vintage, source, and changes to the dataset. The methodology document provides additional information regarding methods and definitions. No data is available for the sparsely populated planning areas of Marina East, Marina South, Straits View, Changi Bay, Simpang, and Western Islands The June 2017 release includes the following updates to the existing ArcGIS Online service and maps for Singapore: The demographic data’s vintage was updated from 2014 to 2016. (with the exception of Population Density and Unemployed Population which are 2015.) The layer ID schema was updated to match new/removed geographies and generalizations. Esri demographic datasets are part of the Living Atlas of the World. The Living Atlas is an incredible collection of maps and apps from around the world. It features Esri and user content, that can enhance your research and analysis. You too can contribute your maps, apps, and story maps through the Living Atlas contributor app. Using Demographic Data Government agencies use demographic data to provide better services to citizens. Marketers use demographic data to select store locations, target customers, and improve product mix. Utilities use demographic data to understand population changes in their service areas and to plan growth and distribution accordingly. When you map Esri demographic layers along with your data, you can answer questions such as “who are my customers?” and “where should we open the next store?” For example, map your retail locations or offices on top of Esri demographic attributes such as population, age, and purchasing power, to understand the local community from a demographic perspective. -
Life Satisfaction Among Elderly Households in Public Rental Housing in Singapore
Health, 2014, 6, 1057-1076 Published Online April 2014 in SciRes. http://www.scirp.org/journal/health http://dx.doi.org/10.4236/health.2014.610132 Life Satisfaction among Elderly Households in Public Rental Housing in Singapore Kwame Addae-Dapaah1*, Quah Shu Juan2 1Department of Real estate, National University of Singapore, Singapore City, Singapore 2Knight Frank Pte Ltd, Singapore City, Singapore Email: *[email protected] Received 4 March 2014; revised 6 April 2014; accepted 14 April 2014 Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract We set out to investigate how satisfied the poor elderly Singaporean households in social housing are with their lives, especially in relation to their housing, in an attempt to find measures to im- prove, where possible, the life satisfaction of this group of elderly Singaporeans. We use archival and empirical research for our investigation. The results from 403 respondents to our survey are analyzed through logistic regression and factor analysis. We find that the life satisfaction of the elderly residents of social housing is very low. Furthermore we find that home modification that meets the requirements of the respondents will substantially improve their life satisfaction. Given that these elderly households neither have the right nor financial means to modify their housing units and precincts, it is incumbent upon the government, through the relevant authorities such as HDB, Town Councils and BCA to effect the necessary home modifications to create a more elderly- friendly physical environment to improve the life satisfaction of the elderly households in social housing in Singapore. -
S in Ga Po Re D Ep Artme N T O F S Tatis Tic S P Op Ulation Tren Ds , 20 1 9 99
Table A1.14 Singapore Residents by Planning Area/Subzone and Type of Dwelling, June 2019 Singapore Department Number HDB Dwellings Condominiums 5-Room and Landed Planning Area Subzone Total 1- and 2- 3-Room 4-Room and Other Others Total HDB Executive Properties Room Flats* Flats Flats Apartments Flats Total Total 4,026,210 3,154,520 173,770 580,230 1,337,740 1,062,780 587,860 249,080 34,750 Ang Mo Kio Total 163,950 132,690 11,100 56,720 43,420 21,440 13,820 16,020 1,420 Ang Mo Kio Town 4,820 2,880 - 420 630 1,830 1,900 - 40 o f Statistics Centre Cheng San 28,190 28,070 950 13,390 8,800 4,930 - - 110 Chong Boon 26,820 26,330 1,580 12,370 8,620 3,770 - - 490 Kebun Bahru 22,970 20,000 1,690 10,430 5,720 2,170 1,580 1,140 240 Sembawang Hills 6,830 - - - - - 250 6,510 70 Shangri-La 16,100 15,770 2,740 6,150 5,150 1,730 - 280 50 Tagore 8,050 - - - - - 2,530 5,370 150 Townsville 21,450 21,380 1,400 6,530 9,600 3,840 - - 70 Yio Chu Kang 30 - - - - - - - - Yio Chu Kang East 4,230 - - - - - 1,830 2,290 100 Yio Chu Kang North - - - - - - - - - Yio Chu Kang West 24,480 18,260 2,750 7,430 4,900 3,180 5,730 440 60 Bedok Total 279,380 178,240 10,050 55,780 66,940 45,480 54,320 44,120 2,700 Bayshore 7,330 - - - - - 6,790 410 120 Bedok North 82,530 72,280 4,670 31,350 25,490 10,770 5,390 4,410 460 Bedok Reservoir 25,640 17,640 - 2,920 8,430 6,280 7,900 50 50 Bedok South 47,420 28,380 1,580 8,110 11,840 6,850 7,070 11,530 450 Frankel 34,330 - - - - - 14,940 18,820 560 Kaki Bukit 37,670 36,010 480 6,020 14,850 14,660 810 730 120 Kembangan 37,950 23,940 3,310 7,380 6,320 6,930 5,000 8,160 850 Population Trends Siglap 6,520 - - - - - 6,430 - 80 Bishan Total 88,010 60,230 1,180 4,960 28,610 25,480 16,650 10,410 720 Bishan East 28,610 25,240 270 1,910 10,780 12,300 3,020 - 350 Marymount 29,960 22,740 - - 13,860 8,890 4,280 2,850 90 Upper Thomson 29,430 12,250 920 3,050 3,980 4,290 9,350 7,570 270 Note: Planning areas refer to areas demarcated in the Urban Redevelopment Authority’s Master Plan 2014. -
Singapore, We Must Not Be Complacent
CONTENTS We do not inherit the earth from our ancestors... we borrow it from our children. Ancient Proverb MINISTER’S MESSAGE 02 PRELUDE 04 EXECUTIVE SUMMARY 06 CHAPTER 1 18 Clean Air Always CHAPTER 2 28 Clean Water On Tap CHAPTER 3 38 Reduce, Reuse, Recycle CHAPTER 4 48 Conserving Nature CHAPTER 5 54 A Healthy Living Environment CHAPTER 6 64 International Cooperation CONCLUSION 72 ANNEX 74 ACKNOWLEDGEMENTS 80 MINISTER’S MESSAGE I am heartened to see so many people giving their views and time generously to the environmental cause and their participation will help the government to come up with more effective policies and programmes. OUR CHANGING ENVIRONMENT The recent media stories on environmental disasters such as hurricanes and floods are stark reminders of the transboundary and constantly changing nature of environmental issues. Although no disasters of similar magnitude and physical impact have happened in Singapore, we must not be complacent. It is still very important for us to continue caring for our environmental and water resources and at the same time, be prepared to tackle any challenge that may arise. PROGRESS SINCE 2002 The Singapore Green Plan 2012 (SGP 2012) is our blueprint towards environmental sustainability. Three years since its launch at the 2002 World Summit on Sustainable Development in Johannesburg, South Africa, we have made good progress towards meeting the targets and in some cases, even exceeding them. The following are some examples: • Air quality in Singapore has been surpassing the 85% “good” range under -
The Food and Beverage Market Entry Handbook: Singapore
1 | Page Singapore – Market Entry Handbook The Food and Beverage Market Entry Handbook: Singapore: a Practical Guide to the Market in Singapore for European Agri-food Products 2 | Page Singapore – Market Entry Handbook Europe Direct is a service to help you find answers to your questions about the European Union. Freephone number (*): 00 800 6 7 8 9 10 11 (*) The information given is free, as are most calls (though some operators, phone boxes or hotels may charge you). This document has been prepared for the Consumers, Health, Agriculture and Food Executive Agency (Chafea) acting under the mandate from the European Commission. It reflects the views only of the authors, and the Commission / Chafea cannot be held responsible for any use which may be made of the information contained therein. Euromonitor International Passport Data Disclaimer While every attempt has been made to ensure accuracy and reliability, Euromonitor International cannot be held responsible for omissions or errors of historic figures or analyses. While every attempt has been made to ensure accuracy and reliability, Agra CEAS cannot be held responsible for omissions or errors in the figures or analyses provided and cannot be held responsible for any use which may be made of the information contained therein. Note: the term EU in this handbook refers to the EU-27 excluding the UK, unless otherwise specified. For product trade stats, data is presented in order of exporter size for reasons of readability. Data for the UK is presented separately where it represents a notable origin (>5% of imports). In case it represents a negligible origin that would not be visually identifiable in a graph, data for the UK is incorporated under “rest of the world”. -
Census of Population 2010 Statistical
1 GEOGRAPHIC DISTRIBUTION Population Size and Density With a total population of 5.08 million in 2010, there was an average of 7,126 persons per square kilometer in Singapore (Table 1). This was higher than the 7,022 persons per square kilometer in 2009. Table 1 Population Size and Density Total Resident Land Population Year Population* Population Area Density ('000) ('000) (sq km) (per sq km) 1980 2,413.9 2,282.1 617.8 3,907 1990 3,047.1 2,735.9 633.0 4,814 2000 4,027.9 3,273.4 682.7 5,900 2005 4,265.8 3,467.8 697.9 6,112 2006 4,401.4 3,525.9 699.5 6,292 2007 4,588.6 3,583.1 705.1 6,508 2008 4,839.4 3,642.7 710.2 6,814 2009 4,987.6 3,733.9 710.3 7,022 2010 5,076.7 3,771.7 712.4 7,126 * Total population comprises Singapore residents and non-residents. Resident population comprises Singapore citizens and permanent residents. Age Profile In 2010, the proportion of elderly aged 65 years and over was highest among Singapore residents staying in Outram, Downtown Core, Rochor, Queenstown and Bukit Merah planning areas1 (15 - 19 per cent) (Map 1). The proportion of elderly was lowest among Singapore residents staying in Punggol (4.8 per cent). Highest Qualification Attained In 2010, the proportion with at least post-secondary qualification was highest among Singapore residents staying in the Singapore River planning area (86 per cent), Tanglin (85 per cent) and Newton (84 per cent) (Map 2). -
Report on the Economic Benefits of Hydrography
FIG REPORT FIG PUbLIcation NO 57 Report on the Economic Benefits of Hydrography FIG Commission 4 Working Group 4.4 – Capacity Building and the Economic Benefits of Hydrography INTERNATIONAL FEDERATION OF SURVEYORS (FIG) Report on the Economic Benefits of Hydrography FIG Commission 4 Working Group 4.4 – Capacity Building and the Economic Benefits of Hydrography INTERNATIONAL FEDERATION OF SURVEYORS (FIG) Copyright © International Federation of Surveyors, June 2011 All rights reserved International Federation of Surveyors (FIG) Kalvebod Brygge 31–33 DK-1780 Copenhagen V DENMARK Tel. + 45 38 86 10 81 Fax + 45 38 86 02 52 E-mail: [email protected] www.fig.net Published in English Copenhagen, Denmark ISBN 978-87-90907-94-5 Published by International Federation of Surveyors (FIG) Front cover: Left: Welland Canal Flight Locks, St. Catharines, Ontario, Canada © St. Law- rence Seaway Authority; Middle: 1996 CHC poster © Canadian Hydrographic Confer- ence; Right: Oil Tanker M/V Tuvaq in the (Arctic) Northwest Passage © Canadian Hydro- graphic Service. Back cover: Technical Session on Capacity Building and the Economic Benefits of Hy- drography, XXIV FIG Congress, Sydney 2010. Left to right: Brian Connon USA, Gordon Johnston (United Kingdom), Olumide Omotoso (Nigeria), Joseph Kuanda (Papua New Guinea), Rod Nairn (Australia) and Michael Sutherland, Canada. © FIG. Design: International Federation of Surveyors, FIG Contents Foreword.....................................................................................................................................................4 -
Census of Population 2020 : Administrative Report ISBN 978-981-18-1383-2
CENSUS OF Administrative POPULATION Report 2020 www.singstat.gov.sg Census of Population 2020 : Administrative Report ISBN 978-981-18-1383-2 © Department of Statistics, Ministry of Trade & Industry, Republic of Singapore Reproducing or quoting any part of this publication is permitted, provided this publication is accredited as the source. Please refer to the Statistics Singapore Website Terms of Use (http://www.singstat.gov.sg/terms-of-use) for more details on the conditions of use of this publication PREFACE The Census of Population 2020 was the sixth census carried out in Singapore since Independence and the fifteenth in the series of census taking from 1871. The census is the most comprehensive source of information on population and households and provides benchmark data for demographic and social statistics. Similar to Census 2000 and 2010, Census 2020 adopted a register-based approach with a large-scale sample survey. Basic population count and characteristics were compiled from administrative records. More detailed information on language, economic characteristics, transport, religion, difficulty in performing basic activities as well as housing and household characteristics were obtained from a sample enumeration of about 150,000 households. For Census 2020, a tri-modal data collection strategy comprising Internet enumeration, Computer-Assisted Telephone Interviewing (CATI) and face-to-face interviews using mobile devices was adopted to facilitate data collection for the households in the census sample. Leveraging technological advances, machine learning was also applied to improve the data processing processes. This Administrative Report provides a comprehensive documentation of the Census of Population 2020 planning and operations. It outlines the major milestones including preparations for the sample enumeration, implementation of the IT application system as well as documenting the collection, processing, dissemination, administrative activities and resources utilised to conduct Census 2020. -
Digital Breadcrumbs: Detecting Urban Mobility Patterns and Transport Mode Choices from Cellphone Networks
Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks Thomas Holleczek, Liang Yu, Joseph K. Lee, Oliver Senn, Kristian Kloeckl, Carlo Ratti, Patrick Jaillet September 2, 2013 Many modern and growing cities are facing declines in public transport usage, with few efficient methods to explain why. In this article, we show that urban mobility patterns and transport mode choices can be derived from cellphone call detail records coupled with public transport data recorded from smart cards. Specifically, we present new data mining approaches to determine the spatial and temporal variability of public and private transportation usage and transport mode preferences across Singapore. Our results, which were validated by Singapore’s quadriennial Household Interview Travel Survey (HITS), revealed that there are 3.5 (HITS: 3.5 million) million and 4.3 (HITS: 4.4 million) million inter-district passengers by public and private transport, respectively. Along with classifying which transportation connections are weak or underserved, the analysis shows that the mode share of public transport use increases from 38 % in the morning to 44 % around mid-day and 52 % in the evening. 1 Introduction arXiv:1308.6705v1 [cs.SI] 30 Aug 2013 Securing public transportation ridership is critical for developing a sustainable urban future. However, existing systems for analyzing and identifying weaknesses in public transport connec- tions face major limitations. In cities, origin-destination (OD) matrices—which measure the flow of people between different geographical regions—are often generated using household surveys and roadside monitoring, approaches which are time consuming, expensive, and lack spatial and temporal accuracy [1]. -
ANNEX 5 DRAFT MASTER PLAN 2013 Key Highlights of Five Regions – North, North-East, East, West, Central
ANNEX 5 DRAFT MASTER PLAN 2013 Key highlights of five regions – North, North-East, East, West, Central 1. The Draft Master Plan will exhibit plans for the five regions – North, North-East, East, West and Central. The plans cover the highlights unique to each region. North Region 2. Besides offering a variety of public and private housing options, the North region is also home to waterbodies and nature areas with rich biodiversity, and is well-connected to other parts of the island through a comprehensive network of public transport and roads. The region is set to expand further in the next few years. 3. The North region covers about 13,900 ha of land and comprises the planning areas of Woodlands, Sembawang, Yishun, Simpang, Lim Chu Kang, Sungei Kadut, Mandai, and the Central Water Catchment. Quality homes 4. New homes close to existing towns will come up in the North, including new Build-To- Order (BTO) flats on the riverfront at Sembawang, and new Three Generation (3Gen) homes in Yishun. 5. The rejuvenation of Yishun town centre will see a new commercial and residential development integrated with a bus interchange and community club, the first community club to be located in a shopping centre. Residents can also enjoy the landscaped pedestrian mall and town plaza within the town centre. 6. To encourage interaction and community bonding between residents, integrated hubs such as the integrated development at Woodlands next to Admiralty MRT station will bring various amenities under one roof. Job and retail options closer to home 7. Envisioned as the gateway to the North, the Woodlands Regional Centre will bring new business and job opportunities, with retail space and amenities.