Sustainability Report 2017
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Cases involving environmental regulations (Main contractors) | number | 3 | 88 |
Cases involving environmental regulations (Main contractors) - TfL Rail/Elizabeth Line | number | n/a | 98 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Breakdown of Scope 1 emissions in Hong Kong - Corporate Support Functions and Main Office Buildings | tCO2e | 6670 | 6424 | 50 | |
Breakdown of Scope 1 emissions in Hong Kong - Network Expansion | tCO2e | 3145 | 3799 | 50 | |
Breakdown of Scope 1 emissions in Hong Kong - Properties & Other Business | tCO2e | 244 | 206 | 50 | |
Breakdown of Scope 1 emissions in Hong Kong - Transport Operations | tCO2e | 38082 | 38495 | 50 | |
Breakdown of Scope 2 emissions in Hong Kong - Corporate Support Functions and Main Office Buildings | tCO2e | 241745 | 226068 | 50 | |
Breakdown of Scope 2 emissions in Hong Kong - Network Expansion | tCO2e | 14585 | 13679 | 50 | |
Breakdown of Scope 2 emissions in Hong Kong - Properties & Other Business | tCO2e | 2959 | 1842 | 50 | |
Breakdown of Scope 2 emissions in Hong Kong - Transport Operations | tCO2e | 1004663 | 1016074 | 50 | |
Breakdown of Scope 3 emissions in Hong Kong - Corporate Support Functions and Main Office Buildings | tCO2e | 666 | 693 | 50 | |
Breakdown of Scope 3 emissions in Hong Kong - Network Expansion | tCO2e | 2513 | 2734 | 50 | |
Breakdown of Scope 3 emissions in Hong Kong - Properties & Other Business | tCO2e | 523 | 556 | 50 | |
Breakdown of Scope 3 emissions in Hong Kong - Transport Operations | tCO2e | 39586 | 23823 | 50 | |
Corporate Functions and Main Office Buildings - Scope 1 GHG emissions | tonnes CO2e | 3799 | 85 | ||
Corporate Functions and Main Office Buildings - Scope 2 GHG emissions | tonnes CO2e | 13679 | 85 | ||
Corporate Functions and Main Office Buildings - Scope 3 GHG emissions | tonnes CO2e | 2734 | 85 | ||
Corporate Functions and Main Office Buildings - Total GHG emissions | tonnes CO2e | 20212 | 85 | ||
Network Expansion - Scope 1 GHG emissions | tonnes CO2e | 206 | 85 | ||
Network Expansion - Scope 2 GHG emissions | tonnes CO2e | 1842 | 85 | ||
Network Expansion - Scope 3 GHG emissions | tonnes CO2e | 23823 | 85 | ||
Network Expansion - Total GHG emissions | tonnes CO2e | 25871 | 85 | ||
Properties and other Businesses - Scope 1 GHG emissions | tonnes CO2e | 6624 | 85 | ||
Properties and other Businesses - Scope 2 GHG emissions | tonnes CO2e | 226068 | 85 | ||
Properties and other Businesses - Scope 3 GHG emissions | tonnes CO2e | 693 | 85 | ||
Properties and other Businesses - Total GHG emissions | tonnes CO2e | 233185 | 85 | ||
Scope 1 GHG emissions | tonnes CO2e | 48924 | 85 | ||
Scope 1 emissions (Melbourne’s Metropolitan Rail Services) | tonnes CO₂e | 5690 | 96 | ||
Scope 1 emissions (Shenzhen Metro Line 4) | tonnes COâ‚‚e | 362 | 96 | ||
Scope 1 emissions (Stockholm Metro) | tonnes COâ‚‚e | 158 | 96 | ||
Scope 1 emissions (Stockholms Pendeltåg) | tonnes CO₂e | 9 | 96 | ||
Scope 2 GHG emissions | tonnes CO2e | 1257654 | 85 | ||
Scope 2 emissions (Melbourne’s Metropolitan Rail Services) | tonnes CO₂e | 499306 | 96 | ||
Scope 2 emissions (Shenzhen Metro Line 4) | tonnes COâ‚‚e | 86755 | 96 | ||
Scope 2 emissions (Stockholm Metro) | tonnes COâ‚‚e | 11318 | 96 | ||
Scope 2 emissions (Stockholms Pendeltåg) | tonnes CO₂e | 11953 | 96 | ||
Scope 2 emissions (TfL Rail/Elizabeth Line) | tonnes COâ‚‚e | 15189 | 96 | ||
Scope 3 GHG emissions | tonnes CO2e | 27806 | 85 | ||
Total GHG emissions | tonnes CO2e | 1334394 | 85 | ||
Total GHG emissions (Melbourne’s Metropolitan Rail Services) | tonnes CO₂e | 504996 | 96 | ||
Total GHG emissions (Shenzhen Metro Line 4) | tonnes COâ‚‚e | 87118 | 96 | ||
Total GHG emissions (Stockholm Metro) | tonnes COâ‚‚e | 11476 | 96 | ||
Total GHG emissions (Stockholms Pendeltåg) | tonnes CO₂e | 11962 | 96 | ||
Total GHG emissions (TfL Rail/Elizabeth Line) | tonnes COâ‚‚e | 15189 | 96 | ||
Total GHG emissions in Hong Kong Scope 1 | tonnes CO2e | 51752 | 48141 | 48924 | 50 |
Total GHG emissions in Hong Kong Scope 2 | tonnes CO2e | 1258826 | 1263952 | 1257664 | 50 |
Total GHG emissions in Hong Kong Scope 3 | tonnes CO2e | 33145 | 43288 | 27806 | 50 |
Transport Operations - Scope 1 GHG emissions | tonnes CO2e | 38495 | 85 | ||
Transport Operations - Scope 2 GHG emissions | tonnes CO2e | 1016074 | 85 | ||
Transport Operations - Scope 3 GHG emissions | tonnes CO2e | 556 | 85 | ||
Transport Operations - Total GHG emissions | tonnes CO2e | 1055126 | 85 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Total hazardous wastes (2015 onward) | tonnes | 238 | 84 |
Total hazardous wastes (Shenzhen Metro Line 4) | tonnes | 51.2 | 96 |
Total hazardous wastes (Stockholm Metro) | tonnes | 48.5 | 96 |
Total hazardous wastes (Stockholms Pendeltåg) | tonnes | 48 | 96 |
Total hazardous wastes in liquid (2015 onward) | litres | 75609 | 84 |
Total hazardous wastes in liquid (Shenzhen Metro Line 4) | litres | 11.6 | 96 |
Total hazardous wastes in liquid (Stockholm Metro) | litres | 91.5 | 96 |
Total hazardous wastes in liquid (Stockholms Pendeltåg) | litres | 353.7 | 96 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
General wastes from railway extension projects | tonnes | 53608 | 84 |
Metals recycled (Melbourne’s Metropolitan Rail Services) | tonnes | 2075.8 | 96 |
Metals recycled (Shenzhen Metro Line 4) | tonnes | 18 | 96 |
Metals recycled (Stockholm Metro) | tonnes | 266 | 96 |
Metals recycled (Stockholms Pendeltåg) | tonnes | 114.5 | 96 |
Metals recycled from railway operations | tonnes | 3598 | 84 |
Total construction wastes recycled (2014 onward) | tonnes | 1040668 | 84 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2020 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Capacity KM per Route KM | 481.41 | 495.94 | 496.91 | 515.68 | 493.66 | 104 | ||||
Electricity consumption in Hong Kong - Properties | MWh | 413785 | 405840 | 395323 | 41 | |||||
Electricity consumption in Hong Kong - Railway Operations - Heavy Rail | MWh | 1486014 | 1487354 | 1573174 | 41 | |||||
Electricity consumption in Hong Kong - Railway Operations - Light Rail and Bus | MWh | 55094 | 55227 | 55170 | 41 | |||||
Electricity consumption in Hong Kong - Railway Operations - Total | MWh | 1541108 | 1542581 | 1628344 | 41 | |||||
Electricity consumption in Hong Kong - Total | MWh | 1954893 | 1948421 | 2023667 | 41 | |||||
Electricity consumption per revenue car-km | kWh per revenue car-km | 4.85 | 84 | |||||||
Electricity consumption per revenue car-km - Heavy rail | kWh per revenue car-km | 4.84 | 84 | |||||||
Electricity consumption per revenue car-km - Light rail and bus | kWh per revenue car-km | 4.95 | 84 | |||||||
Increase in electricity consumption per passenger kilometre compared to 2016 | percent | 1.26 | 43 | |||||||
Target reduction in electricity consumed per passenger-kilometre in heavy rail network | percent | 21 | 43 | |||||||
Target reduction in energy use for investment properties portfolio | percent | 12 | 43 | |||||||
Total electricity consumption - Heavy rail (Melbourne’s Metropolitan Rail Services) | MWh | 460203 | 96 | |||||||
Total electricity consumption - Heavy rail (Shenzhen Metro Line 4) | MWh | 91427 | 96 | |||||||
Total electricity consumption - Heavy rail (Stockholm Metro) | MWh | 169733 | 96 | |||||||
Total electricity consumption - Heavy rail (Stockholms Pendeltåg) | MWh | 183322 | 96 | |||||||
Total electricity consumption - Heavy rail (TfL Rail/Elizabeth Line) | MWh | 43205 | 96 | |||||||
Total electricity purchased for Railway Operations | MWh | 1628344 | 84 | |||||||
Total electricity purchased for Railway Operations - Heavy rail | MWh | 1573174 | 84 | |||||||
Total electricity purchased for Railway Operations - Light rail and bus | MWh | 55170 | 84 | |||||||
Total electricity purchased for managed and investment properties | MWh | 395323 | 84 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Total water consumption from railway operation (Melbourne’s Metropolitan Rail Services) | m³ | 235918 | 96 |
Total water consumption from railway operation (Shenzhen Metro Line 4) | m³ | 202514 | 96 |
Total water consumption from station cooling towers (2016 onward) | m³ | 223237 | 84 |
Water consumption from managed and investment properties | m³ | 1147940 | 84 |
Water consumption from railway operations | m³ | 768302 | 84 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|---|
Electricity efficiency ratio of rail assets (Hong Kong) | kWh per car-km | 4.7 | 4.78 | 4.84 | 4.79 | 4.85 | 42 | |
Expected reduction in electricity consumption from chiller replacement (stations) | percent | 30 | 43 | |||||
Reduction in energy use for Hong Kong investment properties portfolio | percent | 10 | 43 | |||||
Stations: to maintain a cool, pleasant and comfortable environment generally at or below 27°C for platforms and 29°C for station concourses, except on very hot days | % | 99.8 | 90 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Total number of passenger trips (Weekday average) | million | 5.76 | 86 |
Total number of passenger trips - Hong Kong passenger services | million | 2000 | 86 |
Total number of passenger trips - Melbourne's Metropolitan Rail Services | million | 241 | 98 |
Total number of passenger trips - Shenzhen Metro Line 4 | million | 210 | 98 |
Total number of passenger trips - Stockholm Metro | million | 353 | 98 |
Trains, except Light Rail: to maintain a cool, pleasant and comfortable train environment generally at or below 26°C | % | 99.9 | 90 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Annual review of climate change - risks assessment and continuous risk management action | Completed | 84 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|
Average length of service of employees - Hong Kong | years | 13.1 | 62 | ||||
Economic Value Retained for Reinvestment | HK$ million | 4567 | 19 | ||||
Employee Satisfaction Index - Stockholm operations | % | 84 | 62 | ||||
Ordinary Dividends (Other Shareholders) | HK$ million | 1584 | 19 | ||||
Persons with disabilities employed | number | 346 | 86 | ||||
Persons with disabilities employed (%) | % | 2 | 86 | ||||
Persons with disabilities employed in Hong Kong | % | 1.4 | 1.6 | 1.6 | 1.7 | 2 | 57 |
Share of franchised public transport in Hong Kong | % | 49.1 | 86 | ||||
Staff Costs (Employees) | HK$ million | 13660 | 19 | ||||
Total employees | number | 378 | 285 | 86, 101 | |||
Total employees (Melbourne’s Metropolitan Rail Services) | number | 5666 | 96 | ||||
Total employees (Shenzhen Metro Line 4) | number | 1415 | 96 | ||||
Total employees (Stockholm Metro) | number | 3192 | 96 | ||||
Total employees (Stockholms Pendeltåg) | number | 1323 | 96 | ||||
Total employees (TfL Rail/Elizabeth Line) | number | 725 | 96 | ||||
Total workforce (full-time) by age: Aged 30-below 50 | number | 165 | 159 | 101 | |||
Total workforce (full-time) by age: Aged 50 & above | number | 32 | 32 | 101 | |||
Total workforce (full-time) by age: Aged below 30 | number | 95 | 94 | 101 | |||
Total workforce (full-time) by gender: Female | number | 124 | 123 | 101 | |||
Total workforce (full-time) by gender: Male | number | 168 | 162 | 101 | |||
Total workforce by age - Aged 30-below 50 | number | 8531 | 86 | ||||
Total workforce by age - Aged 30–below 50 (Melbourne’s Metropolitan Rail Services) | number | 1375 | 96 | ||||
Total workforce by age - Aged 30–below 50 (Shenzhen Metro Line 4) | number | 660 | 96 | ||||
Total workforce by age - Aged 30–below 50 (Stockholm Metro) | number | 639 | 96 | ||||
Total workforce by age - Aged 30–below 50 (Stockholms Pendeltåg) | number | 449 | 96 | ||||
Total workforce by age - Aged 30–below 50 (TfL Rail/Elizabeth Line) | number | 449 | 96 | ||||
Total workforce by age - Aged 50 & above | number | 5400 | 86 | ||||
Total workforce by age - Aged 50 & above (Melbourne’s Metropolitan Rail Services) | number | 1819 | 96 | ||||
Total workforce by age - Aged 50 & above (Shenzhen Metro Line 4) | number | 6 | 96 | ||||
Total workforce by age - Aged 50 & above (Stockholm Metro) | number | 1233 | 96 | ||||
Total workforce by age - Aged 50 & above (Stockholms Pendeltåg) | number | 474 | 96 | ||||
Total workforce by age - Aged 50 & above (TfL Rail/Elizabeth Line) | number | 157 | 96 | ||||
Total workforce by age - Aged below 30 | number | 3593 | 86 | ||||
Total workforce by age - Aged below 30 (Melbourne’s Metropolitan Rail Services) | number | 553 | 96 | ||||
Total workforce by age - Aged below 30 (Shenzhen Metro Line 4) | number | 749 | 96 | ||||
Total workforce by age - Aged below 30 (Stockholm Metro) | number | 584 | 96 | ||||
Total workforce by age - Aged below 30 (Stockholms Pendeltåg) | number | 210 | 96 | ||||
Total workforce by age - Aged below 30 (TfL Rail/Elizabeth Line) | number | 119 | 96 | ||||
Total workforce by employment type - Full time | number | 17524 | 86 | ||||
Total workforce by employment type - Full time (Melbourne’s Metropolitan Rail Services) | number | 4894 | 96 | ||||
Total workforce by employment type - Full time (Shenzhen Metro Line 4) | number | 1415 | 96 | ||||
Total workforce by employment type - Full time (Stockholm Metro) | number | 2335 | 96 | ||||
Total workforce by employment type - Full time (Stockholms Pendeltåg) | number | 1200 | 96 | ||||
Total workforce by employment type - Full time (TfL Rail/Elizabeth Line) | number | 705 | 96 | ||||
Total workforce by employment type - Part time | number | 1960 | 86 | ||||
Total workforce by employment type - Part time (Melbourne’s Metropolitan Rail Services) | number | 572 | 96 | ||||
Total workforce by employment type - Part time (Stockholm Metro) | number | 857 | 96 | ||||
Total workforce by employment type - Part time (Stockholms Pendeltåg) | number | 123 | 96 | ||||
Total workforce by employment type - Part time (TfL Rail/Elizabeth Line) | number | 20 | 96 | ||||
Total workforce by employment type: Full-time | number | 292 | 285 | 101 | |||
Total workforce by employment type: Part-time | number | 86 | 74 | 101 | |||
Total workforce by gender - Female | number | 3606 | 86 | ||||
Total workforce by gender - Female (Melbourne’s Metropolitan Rail Services) | number | 1234 | 96 | ||||
Total workforce by gender - Female (Shenzhen Metro Line 4) | number | 381 | 96 | ||||
Total workforce by gender - Female (Stockholm Metro) | number | 897 | 96 | ||||
Total workforce by gender - Female (Stockholms Pendeltåg) | number | 417 | 96 | ||||
Total workforce by gender - Female (TfL Rail/Elizabeth Line) | number | 145 | 96 | ||||
Total workforce by gender - Male | number | 13918 | 86 | ||||
Total workforce by gender - Male (Melbourne’s Metropolitan Rail Services) | number | 4232 | 96 | ||||
Total workforce by gender - Male (Shenzhen Metro Line 4) | number | 1034 | 96 | ||||
Total workforce by gender - Male (Stockholm Metro) | number | 2295 | 96 | ||||
Total workforce by gender - Male (Stockholms Pendeltåg) | number | 906 | 96 | ||||
Total workforce by gender - Male (TfL Rail/Elizabeth Line) | number | 580 | 96 | ||||
Vacant posts filled internally either by promotion or transfer | % | 49 | 59 | 59 | 67 | 57 | 87 |
Vacant posts filled internally either by promotion or transfer, Melbourne's Metropolitan Rail Services | % | 33.5 | 97 | ||||
Vacant posts filled internally either by promotion or transfer, Shenzhen Metro Line 4 | % | 28.6 | 22.1 | 24.9 | 97 | ||
Vacant posts filled internally either by promotion or transfer, Stockholm Metro | % | 17 | 97 | ||||
Vacant posts filled internally either by promotion or transfer, Stockholms Pendeltåg | % | 6.5 | 5.8 | 97 | |||
Vacant posts filled internally either by promotion or transfer, TfL Rail/Elizabeth Line | % | 23.3 | 97 | ||||
Women employees | % | 20.6 | 86 | ||||
Women on the Board | % | 20 | 86 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|
New employee hires rate by age (Aged 30-below 50) | % | 5.2 | 4.6 | 87 | |||
New employee hires rate by age (Aged 50 & above) | % | 1.3 | 1.3 | 87 | |||
New employee hires rate by age (Aged below 30) | % | 35.4 | 30.5 | 87 | |||
New employee hires rate by gender (Female) | % | 14.3 | 10.7 | 87 | |||
New employee hires rate by gender (Male) | % | 9.1 | 8.4 | 87 | |||
Total voluntary staff turnover rate | % | 4.2 | 4.4 | 3.7 | 3.5 | 4.5 | 87 |
Total voluntary staff turnover rate, Melbourne's Metropolitan Rail Services | % | 5.1 | 97 | ||||
Total voluntary staff turnover rate, Shenzhen Metro Line 4 | % | 11.4 | 11.9 | 12 | 97 | ||
Total voluntary staff turnover rate, Stockholm Metro | % | 5.6 | 5 | 3.6 | 97 | ||
Total voluntary staff turnover rate, Stockholms Pendeltåg | % | 5.2 | 5.8 | 97 | |||
Total voluntary staff turnover rate, TfL Rail/Elizabeth Line | % | 3.7 | 97 | ||||
Voluntary staff turnover rate aged 30–below 50, Melbourne's Metropolitan Rail Services | % | 5.2 | 97 | ||||
Voluntary staff turnover rate aged 30–below 50, Shenzhen Metro Line 4 | % | 5.4 | 7.7 | 97 | |||
Voluntary staff turnover rate aged 30–below 50, Stockholm Metro | % | 2.6 | 4.5 | 97 | |||
Voluntary staff turnover rate aged 30–below 50, Stockholms Pendeltåg | % | 6.6 | 5.3 | 97 | |||
Voluntary staff turnover rate aged 30–below 50, TfL Rail/Elizabeth Line | % | 2.9 | 97 | ||||
Voluntary staff turnover rate aged 50 & above, Melbourne's Metropolitan Rail Services | % | 5.1 | 97 | ||||
Voluntary staff turnover rate aged 50 & above, Stockholm Metro | % | 2.5 | 1.7 | 97 | |||
Voluntary staff turnover rate aged 50 & above, Stockholms Pendeltåg | % | 2.8 | 4.3 | 97 | |||
Voluntary staff turnover rate aged 50 & above, TfL Rail/Elizabeth Line | % | 3.3 | 97 | ||||
Voluntary staff turnover rate aged below 30, Melbourne's Metropolitan Rail Services | % | 4.9 | 97 | ||||
Voluntary staff turnover rate aged below 30, Shenzhen Metro Line 4 | % | 16.7 | 15.2 | 97 | |||
Voluntary staff turnover rate aged below 30, Stockholm Metro | % | 0.4 | 8.5 | 97 | |||
Voluntary staff turnover rate aged below 30, Stockholms Pendeltåg | % | 9.7 | 12.2 | 97 | |||
Voluntary staff turnover rate aged below 30, TfL Rail/Elizabeth Line | % | 8.3 | 97 | ||||
Voluntary staff turnover rate by age (Aged 30-below 50) | % | 3.3 | 3.5 | 4.3 | 87 | ||
Voluntary staff turnover rate by age (Aged 50 & above) | % | 1.6 | 0.9 | 1.2 | 87 | ||
Voluntary staff turnover rate by age (Aged below 30) | % | 8.2 | 7.6 | 9.7 | 87 | ||
Voluntary staff turnover rate by gender (Female) | % | 5.6 | 4.5 | 6.2 | 87 | ||
Voluntary staff turnover rate by gender (Male) | % | 3.2 | 3.2 | 4 | 87 | ||
Voluntary staff turnover rate by gender, Female, Melbourne's Metropolitan Rail Services | % | 5.3 | 97 | ||||
Voluntary staff turnover rate by gender, Female, Shenzhen Metro Line 4 | % | 9.7 | 6.8 | 97 | |||
Voluntary staff turnover rate by gender, Female, Stockholm Metro | % | 1.4 | 3.4 | 97 | |||
Voluntary staff turnover rate by gender, Female, Stockholms Pendeltåg | % | 7 | 6.1 | 97 | |||
Voluntary staff turnover rate by gender, Female, TfL Rail/Elizabeth Line | % | 5.2 | 97 | ||||
Voluntary staff turnover rate by gender, Male, Melbourne's Metropolitan Rail Services | % | 5.1 | 97 | ||||
Voluntary staff turnover rate by gender, Male, Shenzhen Metro Line 4 | % | 12.6 | 13.4 | 97 | |||
Voluntary staff turnover rate by gender, Male, Stockholm Metro | % | 4 | 3.7 | 97 | |||
Voluntary staff turnover rate by gender, Male, Stockholms Pendeltåg | % | 4.6 | 5.7 | 97 | |||
Voluntary staff turnover rate by gender, Male, TfL Rail/Elizabeth Line | % | 3.7 | 97 | ||||
Voluntary turnover rate - Hong Kong | % | 4.5 | 62 | ||||
Voluntary turnover rate - Melbourne's Metropolitan Rail Services | % | 5.6 | 62 | ||||
Voluntary turnover rate - Shenzhen Metro Line 4 | % | 12 | 62 | ||||
Voluntary turnover rate - Stockholm Metro | % | 5.2 | 62 | ||||
Voluntary turnover rate - Stockholms Pendeltåg | % | 5.8 | 62 | ||||
Voluntary turnover rate - TfL Rail/Elizabeth Line | % | 3.7 | 62 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|
Contractor Safety Fatality Performance Stockholms Pendeltåg | n/a | n/a | 100 | ||||
Contractor Safety Fatality Target Stockholms Pendeltåg | n/a | 100 | |||||
Contractor Safety Lost time injuries per 100000 man-hour Performance Melbourne's Metropolitan Rail Services | number | 0.22 | 0.08 | 0.03 | 100 | ||
Contractor Safety Lost time injuries per 100000 man-hour Performance Shenzhen Metro Line 4 | number | 0.12 | 0.23 | 0.12 | 100 | ||
Contractor Safety Lost time injuries per 100000 man-hour Performance Stockholm Metro | n/a | n/a | n/a | 100 | |||
Contractor Safety Lost time injuries per 100000 man-hour Performance Stockholms Pendeltåg | n/a | n/a | 100 | ||||
Contractor Safety Lost time injuries per 100000 man-hour Performance TfL Rail/Elizabeth Line | 0.33 | 0.31 | 100 | ||||
Contractor Safety Lost time injuries per 100000 man-hour Target Melbourne's Metropolitan Rail Services | number | 0.4 | 0.4 | 0.4 | 100 | ||
Contractor Safety Lost time injuries per 100000 man-hour Target Shenzhen Metro Line 4 | number | 0.44 | 0.42 | 0.42 | 100 | ||
Contractor Safety Lost time injuries per 100000 man-hour Target Stockholm Metro | n/a | n/a | n/a | 100 | |||
Contractor Safety Lost time injuries per 100000 man-hour Target Stockholms Pendeltåg | n/a | n/a | 100 | ||||
Contractor Safety Lost time injuries per 100000 man-hour Target TfL Rail/Elizabeth Line | n/a | n/a | n/a | 100 | |||
Contractor Safety Number of injuries per 100000 manhours Performance | number | 2.35 | 0.79 | 101 | |||
Contractor Safety Number of injuries per 100000 manhours Target | number | 1.64 | 1.64 | 101 | |||
Customer and public safety - fatalities in Hong Kong - Bus | 1 | 29 | |||||
Customer and public safety - fatalities in Hong Kong - Light Rail | 1 | 29 | |||||
Fatality Performance - Stockholms Pendeltåg | number | n/a | 99 | ||||
Fatality Target - Stockholms Pendeltåg | number | n/a | 99 | ||||
No. of injuries per million passenger journeys Performance - Melbourne's Metropolitan Rail Services | number | 0.76 | 99 | ||||
No. of injuries per million passenger journeys Performance - Shenzhen Metro Line 4 | number | 1.12 | 99 | ||||
No. of injuries per million passenger journeys Performance - Stockholm Metro | number | 1.08 | 99 | ||||
No. of injuries per million passenger journeys Performance - Stockholms Pendeltåg | number | 0.74 | 99 | ||||
No. of injuries per million passenger journeys Performance - TfL Rail/Elizabeth Line | number | 3.03 | 99 | ||||
Number of customer and public injuries requiring hospitalisation in Hong Kong - Bus | 4 | 6 | 29 | ||||
Number of customer and public injuries requiring hospitalisation in Hong Kong - Heavy Rail | 144 | 129 | 29 | ||||
Number of customer and public injuries requiring hospitalisation in Hong Kong - Light Rail | 26 | 26 | 29 | ||||
Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Bus - Performance | 6.29 | 9.44 | 29 | ||||
Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Bus - Target | 6.88 | 6.88 | 29 | ||||
Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Heavy Rail - Performance | 8.39 | 7.3 | 29 | ||||
Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Heavy Rail - Target | 9.48 | 9.29 | 29 | ||||
Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Light Rail - Performance | 14.55 | 9.52 | 29 | ||||
Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Light Rail - Target | 13.66 | 13.66 | 29 | ||||
Reportable accidents per 100000 man-hour - China and International Business Division (up to 2015) - Performance | number | n/a (4) | 95 | ||||
Reportable accidents per 100000 man-hour - China and International Business Division (up to 2015) - Target | number | n/a (4) | 95 | ||||
Reportable accidents per 100000 man-hour - Corporate support functions - Performance | number | 0.17 | 0.08 | 0.15 | 0.22 | 0.21 | 95 |
Reportable accidents per 100000 man-hour - Corporate support functions - Target | number | 0.18 | 0.17 | 0.23 | 0.15 | 0.15 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong investment property - Performance | number | 0.16 | 0.15 | 0.08 | 0.05 | 0.26 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong investment property - Target | number | 0.22 | 0.22 | 0.22 | 0.22 | 0.22 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong management property - Performance | number | 0.13 | 0.13 | 0.15 | 0.12 | 0.18 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong management property - Target | number | 0.22 | 0.22 | 0.22 | 0.22 | 0.22 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong project construction - network improvement projects - Performance | number | 0.22 | 95 | ||||
Reportable accidents per 100000 man-hour - Hong Kong project construction - network improvement projects - Target | number | 0.3 | 95 | ||||
Reportable accidents per 100000 man-hour - Hong Kong project construction - railway extension projects - Performance | number | 0.56 | 0.57 | 0.48 | 0.49 | 0.32 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong project construction - railway extension projects - Target | number | 0.3 | 0.3 | 0.3 | 0.3 | 0.3 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong property development and investment projects - Performance | number | 0.04 | 0.06 | 0.06 | 0.03 | 0.03 | 95 |
Reportable accidents per 100000 man-hour - Hong Kong property development and investment projects - Target | number | 0.38 | 0.35 | 0.3 | 0.3 | 0.3 | 95 |
Reportable accidents per 100000 man-hour - Operating railway - Performance | number | 0.24 | 0.16 | 0.16 | 0.16 | 0.18 | 95 |
Reportable accidents per 100000 man-hour - Operating railway - Target | number | 0.21 | 0.21 | 0.21 | 0.21 | 0.21 | 95 |
Reportable accidents per 100000 man-hour for contactors in Hong Kong - Corporate Support Functions | 0.22 | 0.21 | 32 | ||||
Reportable accidents per 100000 man-hour for contactors in Hong Kong - Investment Property | 0.05 | 0.26 | 32 | ||||
Reportable accidents per 100000 man-hour for contactors in Hong Kong - Management Property | 0.12 | 0.18 | 32 | ||||
Reportable accidents per 100000 man-hour for contactors in Hong Kong - Operations Railway | 0.16 | 0.18 | 32 | ||||
Reportable accidents per 100000 man-hour for contactors in Hong Kong - Project Construction - Network Improvement Projects | n/a | 0.22 | 32 | ||||
Reportable accidents per 100000 man-hour for contactors in Hong Kong - Projects Construction – Railway Extension Projects | 0.49 | 0.32 | 32 | ||||
Reportable accidents per 100000 man-hour for contactors in Hong Kong - Property Development and Investment Projects | 0.03 | 0.03 | 32 | ||||
Staff Safety Fatality Performance Stockholms Pendeltåg | n/a | 100 | |||||
Staff Safety Fatality Target Stockholms Pendeltåg | n/a | 100 |
Lost days due to work injury.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Lost time injuries per 100000 man-hour in Hong Kong - Corporate Support Functions | 0.09 | 0.06 | 32 | ||
Lost time injuries per 100000 man-hour in Hong Kong - Operations Division | 0.47 | 0.42 | 32 | ||
Lost time injuries per 100000 man-hour in Hong Kong - Projects Division | 0.25 | 0.2 | 32 | ||
Lost time injuries per 100000 man-hour in Hong Kong - Property Division | 0.09 | 0.09 | 32 | ||
Staff Safety Lost time injuries per 100000 man-hour Performance Melbourne's Metropolitan Rail Services | number | 0.52 | 0.35 | 0.49 | 100 |
Staff Safety Lost time injuries per 100000 man-hour Performance Shenzhen Metro Line 4 | number | 0.21 | 0.08 | 0.17 | 100 |
Staff Safety Lost time injuries per 100000 man-hour Performance Stockholm Metro | number | 0.32 | 0.29 | 0.29 | 100 |
Staff Safety Lost time injuries per 100000 man-hour Performance Stockholms Pendeltåg | number | n/a | 0.21 | 100 | |
Staff Safety Lost time injuries per 100000 man-hour Performance TfL Rail/Elizabeth Line | number | 0.86 | 0.37 | 100 | |
Staff Safety Lost time injuries per 100000 man-hour Target Melbourne's Metropolitan Rail Services | number | 0.5 | 0.5 | 0.5 | 100 |
Staff Safety Lost time injuries per 100000 man-hour Target Shenzhen Metro Line 4 | number | 0.26 | 0.25 | 0.25 | 100 |
Staff Safety Lost time injuries per 100000 man-hour Target Stockholm Metro | number | 0.6 | 0.6 | 0.6 | 100 |
Staff Safety Lost time injuries per 100000 man-hour Target Stockholms Pendeltåg | number | n/a | 0.6 | 100 | |
Staff Safety Lost time injuries per 100000 man-hour Target TfL Rail/Elizabeth Line | number | 0.7 | 0.7 | 0.7 | 100 |
Staff Safety Number of injuries per 100000 manhours Performance | number | 0.99 | 1.52 | 101 | |
Staff Safety Number of injuries per 100000 manhours Target | number | 1.79 | 0.99 | 101 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2016 | 2017 | Report Pages |
---|---|---|---|---|
Cable car system reliability | % | 99.87 | 99.91 | 101 |
No. of injuries per million passenger journeys Target - Melbourne's Metropolitan Rail Services | number | 2 | 99 | |
No. of injuries per million passenger journeys Target - Shenzhen Metro Line 4 | number | 1.47 | 99 | |
No. of injuries per million passenger journeys Target - Stockholm Metro | number | 1.35 | 99 | |
No. of injuries per million passenger journeys Target - Stockholms Pendeltåg | number | n/a | 99 | |
No. of injuries per million passenger journeys Target - TfL Rail/Elizabeth Line | number | 2.8 | 99 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Management training | man-day | 18474 | 88 | ||
Percentage of employees trained by gender (Female) | % | 80.3 | 82.6 | 88.7 | 87 |
Percentage of employees trained by gender (Male) | % | 90.6 | 88.1 | 91.7 | 87 |
Percentage of employees trained by gender, Female, Shenzhen Metro Line 4 | % | 96.9 | 88.7 | 97 | |
Percentage of employees trained by gender, Female, Stockholm Metro | % | 54.3 | 88.5 | 97 | |
Percentage of employees trained by gender, Female, Stockholms Pendeltåg | % | 87.8 | 97 | ||
Percentage of employees trained by gender, Female, TfL Rail/Elizabeth Line | % | 82.1 | 97 | ||
Percentage of employees trained by gender, Male, Shenzhen Metro Line 4 | % | 96.9 | 95.4 | 97 | |
Percentage of employees trained by gender, Male, Stockholm Metro | % | 55.8 | 92.1 | 97 | |
Percentage of employees trained by gender, Male, Stockholms Pendeltåg | % | 91.7 | 97 | ||
Percentage of employees trained by gender, TfL Rail/Elizabeth Line | % | 79.7 | 97 | ||
Percentage of employees trained by management (Managers) | % | 92.9 | 76.8 | 75.1 | 87 |
Percentage of employees trained by management (Non-managers) | % | 88 | 88.3 | 93 | 87 |
Percentage of employees trained by management, Managers, Shenzhen Metro Line 4 | % | 96.4 | 96.6 | 97 | |
Percentage of employees trained by management, Managers, Stockholm Metro | % | 84.8 | 96.9 | 97 | |
Percentage of employees trained by management, Managers, Stockholms Pendeltåg | % | 97.9 | 91.9 | 97 | |
Percentage of employees trained by management, Non-managers, Shenzhen Metro Line 4 | % | 96.9 | 93.4 | 97 | |
Percentage of employees trained by management, Non-managers, Stockholm Metro | % | 54 | 90.7 | 97 | |
Percentage of employees trained by management, Non-managers, Stockholms Pendeltåg | % | 90.3 | 78 | 97 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Operations training | man-day | 103268 | 88 | ||
Total staff training days | man-day | 121742 | 88 | ||
Training days per employee (overall) | days | 7.1 | 88 | ||
Training days per employee by gender (Female) | days | 5 | 88 | ||
Training days per employee by gender (Male) | days | 7.6 | 88 | ||
Training days per employee by gender, Female, Melbourne's Metropolitan Rail Services | days | 6.2 | 97 | ||
Training days per employee by gender, Female, Shenzhen Metro Line 4 | days | 5.4 | 5.1 | 97 | |
Training days per employee by gender, Female, Stockholm Metro | days | 8.9 | 2.5 | 97 | |
Training days per employee by gender, Female, Stockholms Pendeltåg | days | 1.7 | 2.6 | 97 | |
Training days per employee by gender, Female, TfL Rail/Elizabeth Line | days | 15 | 97 | ||
Training days per employee by gender, Male, Melbourne's Metropolitan Rail Services | days | 6.2 | 97 | ||
Training days per employee by gender, Male, Shenzhen Metro Line 4 | days | 10.3 | 9.2 | 97 | |
Training days per employee by gender, Male, Stockholm Metro | days | 8.9 | 2.4 | 97 | |
Training days per employee by gender, Male, Stockholms Pendeltåg | days | 1.8 | 2.8 | 97 | |
Training days per employee by gender, Male, TfL Rail/Elizabeth Line | days | 26.8 | 97 | ||
Training days per employee by management (Managers) | days | 1.9 | 88 | ||
Training days per employee by management (Non-managers) | days | 7.7 | 88 | ||
Training days per employee by management, Managers, Melbourne's Metropolitan Rail Services | days | 2 | 97 | ||
Training days per employee by management, Managers, Shenzhen Metro Line 4 | days | 6.2 | 6.2 | 97 | |
Training days per employee by management, Managers, Stockholm Metro | days | 4 | 3.2 | 97 | |
Training days per employee by management, Managers, Stockholms Pendeltåg | days | 2.4 | 2.7 | 97 | |
Training days per employee by management, Managers, TfL Rail/Elizabeth Line | days | 2.1 | 97 | ||
Training days per employee by management, Non-managers, Melbourne's Metropolitan Rail Services | days | 7.1 | 97 | ||
Training days per employee by management, Non-managers, Shenzhen Metro Line 4 | days | 9 | 8.1 | 97 | |
Training days per employee by management, Non-managers, Stockholm Metro | days | 9.4 | 2.4 | 97 | |
Training days per employee by management, Non-managers, Stockholms Pendeltåg | days | 1.8 | 2.8 | 97 | |
Training days per employee by management, Non-managers, TfL Rail/Elizabeth Line | days | 28.5 | 97 | ||
Training days per employee, Melbourne's Metropolitan Rail Services | days | 13.8 | 6.2 | 97 | |
Training days per employee, Shenzhen Metro Line 4 | days | 1.8 | 8.9 | 8.1 | 97 |
Training days per employee, Stockholm Metro | days | 8.9 | 3 | 97 | |
Training days per employee, Stockholms Pendeltåg | days | 2.4 | 2.8 | 97 | |
Training days per employee, TfL Rail/Elizabeth Line | days | 24 | 97 |
Description of measures to review employment practices to avoid child and forced labour.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Cases involving labor standards | number | 1 | 88 |
Number of suppliers by geographical region.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Number of suppliers in Africa - Stockholms Pendeltåg | number | n/a | 99 |
Number of suppliers in Asia | number | 1667 | 90 |
Number of suppliers in Asia - Melbourne's Metropolitan Rail Services | number | 5 | 99 |
Number of suppliers in Asia - Shenzhen Metro Line 4 | number | 337 | 99 |
Number of suppliers in Asia - Stockholm Metro | number | 1 | 99 |
Number of suppliers in Asia - Stockholms Pendeltåg | number | n/a | 99 |
Number of suppliers in Europe | number | 145 | 90 |
Number of suppliers in Europe - Melbourne's Metropolitan Rail Services | number | 19 | 99 |
Number of suppliers in Europe - Stockholm Metro | number | 323 | 99 |
Number of suppliers in Europe - Stockholms Pendeltåg | number | n/a | 99 |
Number of suppliers in Europe - TfL Rail/Elizabeth Line | number | 257 | 99 |
Number of suppliers in North America | number | 21 | 90 |
Number of suppliers in North America - Melbourne's Metropolitan Rail Services | number | 2 | 99 |
Number of suppliers in North America - Stockholm Metro | number | 1 | 99 |
Number of suppliers in North America - Stockholms Pendeltåg | number | n/a | 99 |
Number of suppliers in Oceania | number | 26 | 90 |
Number of suppliers in Oceania - Melbourne's Metropolitan Rail Services | number | 1164 | 99 |
Number of suppliers in Oceania - Stockholms Pendeltåg | number | n/a | 99 |
Number of suppliers in South America - Stockholms Pendeltåg | number | n/a | 99 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|---|
% Passenger Journeys On Time | % | 99.9 | 99.9 | 99.98 | 99.9 | 99.9 | 104 | |
Customer Safety Number of injuries per 100000 visits Performance | number | 0.12 | 101 | |||||
Customer Safety Number of injuries per 100000 visits Target | number | 0.31 | 0.31 | 101 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|---|
% Train Trips On Time | % | 99.9 | 99.9 | 99.9 | 99.9 | 99.9 | 104 | |
Fare revenue per passenger km (Average) | US$PPP | 0.11 | 0.12 | 0.12 | 0.12 | 0.12 | 103 | |
Fare revenue per passenger km (Best Performance) | US$PPP | 0.3 | 0.3 | 0.3 | 0.31 | 0.31 | 103 | |
Fare revenue per passenger km (MTR) | US$PPP | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | 103 | |
Northwest transit service area bus service - Service Delivery | % | 99 | 90 | |||||
Revenue from Hong Kong Property Rental and Management Businesses | HK$ million | 4900 | 19 | |||||
Revenue from Hong Kong Station Commercial Businesses | HK$ million | 5975 | 19 | |||||
Revenue from Hong Kong Transport Operations | HK$ million | 18201 | 19 | |||||
Revenue from Mainland of China and International Subsidiaries | HK$ million | 23986 | 19 | |||||
Revenue from Other Businesses | HK$ million | 2378 | 19 | |||||
Total commercial revenue per operating cost (Average) | 1.12 | 1.1 | 1.09 | 1.08 | 1.06 | 103 | ||
Total commercial revenue per operating cost (MTR) | 2.28 | 2.33 | 2.3 | 2.28 | 2.31 | 103 | ||
Total number of passenger trips - TfL Rail/Elizabeth Line | million | 43 | 98 | |||||
Train punctuality - Melbourne's Metropolitan Rail Services | % | 91.82 | 98 | |||||
Train punctuality - Shenzhen Metro Line 4 | % | 99.95 | 98 | |||||
Train punctuality - Stockholm Metro | % | 97.8 | 98 | |||||
Train punctuality - Stockholms Pendeltåg | % | 89.5 | 98 | |||||
Train punctuality - TfL Rail/Elizabeth Line | % | 94.23 | 98 | |||||
Train reliability - Melbourne's Metropolitan Rail Services | revenue car-km/incident | 33001 | 98 | |||||
Train reliability - Shenzhen Metro Line 4 | revenue car-km/incident | 10149775 | 98 | |||||
Train reliability - Stockholm Metro | revenue car-km/incident | 54528 | 98 | |||||
Train reliability - Stockholms Pendeltåg | revenue car-km/incident | 45386 | 98 | |||||
Train reliability - TfL Rail/Elizabeth Line | revenue car-km/incident | n/a(9) | 98 | |||||
Train service delivery - Melbourne's Metropolitan Rail Services | % | 98.89 | 98 | |||||
Train service delivery - Shenzhen Metro Line 4 | % | 99.97 | 98 | |||||
Train service delivery - Stockholm Metro | % | 99.36 | 98 | |||||
Train service delivery - Stockholms Pendeltåg | % | 96.9 | 98 | |||||
Train service delivery - TfL Rail/Elizabeth Line | % | 97.36 | 98 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Passenger journeys on time - Melbourne's Metropolitan Rail Services | % | n/a | 98 |
Passenger journeys on time - Shenzhen Metro Line 4 | % | 99.99 | 98 |
Passenger journeys on time - Stockholm Metro | % | n/a | 98 |
Passenger journeys on time - Stockholms Pendeltåg | % | n/a | 98 |
Passenger journeys on time - TfL Rail/Elizabeth Line | % | n/a | 98 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Interest & Finance Costs (Lenders) | HK$ million | 659 | 19 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Employee fundraising | HK$ '000 | 368 | 88 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Cash donations | HK$ '000 | 21800 | 88 |
Cash donations - Melbourne's Metropolitan Rail Services | HK$ '000 | 119816 | 98 |
Cash donations - Stockholm Metro | HK$ '000 | 116 | 98 |
Cash donations - TfL Rail/Elizabeth Line | HK$ '000 | 18465 | 98 |
Community Investment (excludes fare concessions and in-kind donations) | HK$ million | 31 | 19 |
Employee volunteering (number of participating headcounts) | number | 3954 | 88 |
Employee volunteering (number of projects) | number | 295 | 88 |
Gifts in kind | HK$ '000 | 24000 | 88 |
Maintenance, Renewal and Upgrade Expenditure on Existing Hong Kong Railway System | HK$ million | 8646 | 19 |
Profit from Hong Kong Property Development | HK$ million | 1120 | 19 |
Taxes (Governments) | HK$ million | 2908 | 19 |
Taxes (HKSAR Government) | HK$ million | 4765 | 19 |
Total Economic Value Distributed | HK$ million | 51993 | 19 |
Total Economic Value Generated | HK$ million | 56560 | 19 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 51752 | 48141 | 48924 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 1258826 | 1263952 | 1257654 |
Total GHG Emissions | tonnes CO2e | 1323723 | 1355381 | 1334394 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 33145 | 43288 | 27806 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 |
---|---|---|
Hazardous Waste (Liquid Waste) | litres | 75609 |
Total Hazardous Waste | tonnes | 238 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 |
---|---|---|
Non-Hazardous Waste (Construction Waste) | tonnes | 53608 |
Non-Hazardous Waste Recycled | tonnes | 1040668 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2020 | 2023 |
---|---|---|---|---|---|---|
Purchased Electricity | MWh | 1541108 | 405840 | 169733 | ||
Purchased Electricity Intensity (By Area) | percent | 12 | ||||
Purchased Electricity Intensity (By Unit Product) | percent | 4.85 | 21 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 |
---|---|---|
Water Consumption | m³ | 768302 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2017 | 2023 |
---|---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | percent | 10 | |
Target Electricity Usage Reduction Percentage Compared to Last Year | percent | 30 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2016 | 2017 |
---|---|---|---|
Number of Employees Aged 30-50 | number | 165 | 8531 |
Number of Employees Aged Above 50 | number | 32 | 5400 |
Number of Employees Aged Below 30 | number | 95 | 3593 |
Number of Female Employees | number | 124 | 3606 |
Number of Full-time Employees | number | 292 | 17524 |
Number of Male Employees | number | 168 | 13918 |
Number of Part-time Employees | number | 86 | 1960 |
Number of Total Employees | number | 378 | 17524 |
Percentage of Employees Aged 30-50 | % | 43.7 | 48.7 |
Percentage of Employees Aged Above 50 | % | 8.5 | 30.8 |
Percentage of Employees Aged Below 30 | % | 25.1 | 20.5 |
Percentage of Female Employees | % | 32.8 | 20.6 |
Percentage of Male Employees | % | 44.4 | 79.4 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 3.3 | 3.5 | 4.3 | ||
Turnover Rate of Employees Aged Above 50 | % | 1.6 | 0.9 | 1.2 | ||
Turnover Rate of Employees Aged Below 30 | % | 8.2 | 7.6 | 9.7 | ||
Turnover Rate of Employees in Hong Kong | % | 4.5 | ||||
Turnover Rate of Female Employees | % | 5.6 | 4.5 | 6.2 | ||
Turnover Rate of Male Employees | % | 3.2 | 3.2 | 4 | ||
Turnover Rate of Total Employees | % | 4.2 | 4.4 | 3.7 | 3.5 | 4.5 |
Lost days due to work injury.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Lost Time Injury Frequency Rate (Hong Kong) | per 100000 man-hours | 0.09 | 0.09 | |
Lost Time Injury Frequency Rate (Mainland China) | per 100000 man-hours | 0.21 | 0.08 | 0.17 |
Lost Time Injury Frequency Rate (Overseas) | per 100000 man-hours | 0.32 | 0.29 | 0.49 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Percentage of Employees Trained | % | 80.3 | 82.6 | 88.7 |
Percentage of Trained Female Employees | % | 80.3 | 82.6 | 88.7 |
Percentage of Trained Male Employees | % | 90.6 | 88.1 | 91.7 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2017 |
---|---|---|
Average Training Hours (Female) | hours | 5 |
Average Training Hours (General Staff) | hours | 7.7 |
Average Training Hours (Male) | hours | 7.6 |
Average Training Hours (Senior Management) | hours | 1.9 |
Average Training Hours per Employee | hours | 7.1 |
Total Training Hours | hours | 121742 |
Description of measures to review employment practices to avoid child and forced labour.
Standard Indicator | Unit | 2017 |
---|---|---|
Number of Violation Cases Related to Child Labour or Forced Labour | number | 1 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2017 |
---|---|---|
Number of Suppliers in Asia (Excluding China) | number | 1667 |
Number of Suppliers in Europe | number | 145 |
Number of Suppliers in North America | number | 21 |
Number of Suppliers in Oceania | number | 26 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2017 |
---|---|---|
Number of Employees Participating in Volunteer Activities | number | 3954 |
Number of Volunteer Activities Sessions | number | 295 |
Total Cash Donations | HK$ '000 | 160197 |
Total In-kind Donations | HK$ '000 | 24000 |