Sustainability Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 | 2019 | 2024 | Report Pages |
---|---|---|---|---|
Investment Properties GHG Emissions (Scope 1) | tCO2e | 69638 | 64998 | 60 |
Investment Properties GHG Emissions (Scope 2) | tCO2e | 5298 | 5628 | 60 |
Railway GHG Emissions (Scope 1) | tCO2e | 225809 | 122333 | 60 |
Railway GHG Emissions (Scope 2) | tCO2e | 1092794 | 842422 | 60 |
Railway GHG Emissions (Scope 3 Category 3) | tCO2e | 36999 | 38962 | 60 |
Scope 3 Emissions - Cat. 1 Purchased goods and services | tCO2e | 162806 | 138536 | 60 |
Scope 3 Emissions - Cat. 13 Downstream leased assets | tCO2e | 91738 | 5776 | 60 |
Scope 3 Emissions - Cat. 2 Capital goods | tCO2e | 613954 | 721816 | 60 |
Scope 3 Emissions - Cat. 3 Fuel and energy related activities | tCO2e | 51242 | 54891 | 60 |
Scope 3 Emissions - Cat. 5 Waste generated in operations | tCO2e | 30161 | 13216 | 60 |
Scope 3 Emissions - Cat. 6 Business travel | tCO2e | 2216 | 1341 | 60 |
Scope 3 Emissions - Cat. 7 Employee commuting | tCO2e | 54091 | 13214 | 60 |
Scope 3 Emissions - Cat. 8 Upstream leased assets | tCO2e | 235691 | 13423 | 60 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | 2030 | 2050 | Report Pages |
---|---|---|---|---|---|
Carbon emissions reduction target by 2030 | % | 60 | 4 | ||
Carbon neutrality target year | carbon neutrality | 24 | |||
Investment Properties SBT Progress (per sqm floor area) | -27.7% | 60 | |||
Participants in low-carbon initiatives in 2024 | people | 61000 | 21 | ||
Public offshore Renminbi Green Bond issued | billion RMB | 4.5 | 4 | ||
Railway SBT Progress (per pkm) | -32.2% | 60 | |||
Scope 3 Emissions SBT Progress (absolute) | -5.8% | 60 | |||
Targeted reduction of absolute GHG emissions for railway and property businesses in Hong Kong | 50% | 100% | 3 |
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 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | Report Pages |
---|---|---|---|---|---|---|---|---|
Additional solar PV systems to be installed in depots and stations in 2024 | solar PV systems | 3 | 21 | |||||
Capital and Operating Expenditures in Maintaining, Upgrading and Renewing the Existing Hong Kong Railway System | HK$ million | 17038 | 15 | |||||
Electricity consumption of Elizabeth line (Heavy Rail Operations, United Kingdom) | GWh | 248.42 | 292.18 | 194.67 | 62 | |||
Electricity consumption of Hangzhou Metro Line 5 (Heavy Rail Operations, Mainland China) | GWh | 186.66 | 194.83 | 198.12 | 62 | |||
Electricity consumption of Heavy Rail (Hong Kong Railway Operations) | GWh | 1495.53 | 1591.13 | 1616.14 | 62 | |||
Electricity consumption of Hong Kong Operating Network (Heavy Rail Operations) | GWh | 1495.53 | 1591.13 | 1616.14 | 62 | |||
Electricity consumption of Light Rail (Hong Kong Railway Operations) | GWh | 49.82 | 50.81 | 51.43 | 62 | |||
Electricity consumption of MTRX (Heavy Rail Operations, Sweden) | GWh | 19.28 | 20.85 | 9.12 | 62 | |||
Electricity consumption of Melbourne’s Metropolitan Rail Service (Heavy Rail Operations, Australia) | GWh | 439.35 | 418.76 | 456.41 | 62 | |||
Electricity consumption of Mälartåg (Heavy Rail Operations, Sweden) | GWh | 94.43 | 99.82 | 51.41 | 62 | |||
Electricity consumption of Properties (Hong Kong) | GWh | 415.82 | 449.97 | 467.91 | 62 | |||
Electricity consumption of Railway Operations (Hong Kong, sub-total) | GWh | 1545.35 | 1641.94 | 1667.57 | 62 | |||
Electricity consumption of Shenzhen Metro Line 4 (Heavy Rail Operations, Mainland China) | GWh | 124.22 | 125.92 | 125.62 | 62 | |||
Electricity consumption of Stockholm Metro (Heavy Rail Operations, Sweden) | GWh | 168.68 | 165.53 | 159.83 | 62 | |||
Electricity consumption of Stockholms Pendeltåg (Heavy Rail Operations, Sweden) | GWh | 193 | 192.98 | 37.36 | 62 | |||
Electricity consumption of Sydney M1 Metro Northwest and Bankstown Line (Heavy Rail Operations, Australia) | GWh | 82.1 | 86.67 | 141.56 | 62 | |||
Number of additional EV charging stations to be installed across office buildings, malls and station carparks | charging stations | 200 | 24 | |||||
Number of additional solar PV systems to be installed | solar PV system | 1 | 24 | |||||
Number of e-buses to be introduced | e-buses | 30 | 24 | |||||
Percentage of executive private vehicles to be replaced by EV or cancelled | % | 100 | 24 | |||||
Route length of heavy rail in Hong Kong | km | 271 | 4 | |||||
Total electricity consumption in Hong Kong | GWh | 1961.17 | 2091.91 | 2135.48 | 62 | |||
Total electricity consumption of Heavy Rail Operations (all locations) | GWh | 3051.67 | 3188.65 | 2990.25 | 62 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Water saved in 2024 | water saving | over 4% | 21 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | 2025 | 2026 | Report Pages |
---|---|---|---|---|---|
Chiller energy saving expected after Batch 2 chiller replacement in stations | % | 20 | 24 | ||
Chiller energy saving expected after completing chiller replacement programme in Headquarters in 2024 as compared with 2019 | energy saving | 20% | 21 | ||
Chillers replaced as of end-2024 | chillers | 19 | 21 | ||
Existing shopping malls (with full operation in 2022) that have completed energy audits and energy saving plans to be developed by 2025 | shopping malls | 100% | 21 | ||
Managed residential properties that have conducted energy audits for the common areas and develop energy saving plans as of end-2024 | properties | 79% | 21 | ||
Number of MTR shopping malls to engage tenants in identifying energy saving measures | shopping malls | 4 | 24 | ||
Percentage of existing shopping malls to complete energy audit and develop energy saving plan | % | 100 | 24 | ||
Percentage of managed residential properties to conduct energy audit and develop energy saving plan | % | Over 65 | 24 | ||
Programme in MTR shopping malls to engage and assist tenants in identifying energy saving measures by 2025 | shopping malls | 4 | 21 | ||
Targeted renewable energy share | percent | 25 | 3 | ||
Trial project on Hydrogen Fuelled Light Rail Vehicle in 2024 | project | 1 | 21 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023-24 | 2025 | Report Pages |
---|---|---|---|---|
Additional water dispensers to be installed across stations in 2023-24 | water dispensers | 8 | 21 | |
Water to be saved in 2025 with 2018 level as baseline for shopping malls | water saving | 5% | 21 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2024 | 2025 | 2026 | Report Pages |
---|---|---|---|---|---|
Managed residential properties collaborating with partners to promote green lifestyles in 2024 | properties | 80% | 21 | ||
Number of additional bike parking spaces to be provided around properties managed by MTR | bike parking spaces | 1400 | 24 | ||
Number of new green solutions to be researched and evaluated in construction site offices | green solutions | 2 | 24 | ||
Number of shopping malls for retro-commissioning pilot programme | shopping malls | 3 | 24 | ||
Percentage of managed residential properties collaborating to promote green lifestyles | % | Over 65 | 24 | ||
Residential estates participating in the Mulching Pilot Scheme by 2024 | residential estates | over 50% | 21 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|
10% of our interns will be PwD or ethnically diverse in 2024 | % | 15.7 | 19 | |||
At least 25% of our Board of Directors will be women by 2025 | % | 27 | 19 | |||
Average number of passenger trips benefiting from fare concessions | per month | 1000000 | 3 | |||
Average tenure of Hong Kong employees | years | 12.2 | 50 | |||
Average years of service for retiring colleagues at Retirees Celebration Lunch | years | 31 | 50 | |||
Economic Value Retained for Reinvestment | HK$ million | 4969 | 15 | |||
Employment and pre-employment opportunities for young talents | opportunities | 200+ | 23 | |||
Employment and pre-employment opportunities provided for young talents | people | 268 | 20 | |||
Fixed and Variable Annual Payments (KCRC) | HK$ million | 3775 | 15 | |||
Full-time employees in Hangzhou | employees | 2796 | 2828 | 2988 | 34 | |
Full-time employees in Hong Kong | employees | 16804 | 17405 | 18411 | 34 | |
Full-time employees in London | employees | 1259 | 1265 | 1259 | 34 | |
Full-time employees in Melbourne | employees | 6128 | 6452 | 6330 | 34 | |
Full-time employees in Shenzhen | employees | 1925 | 2020 | 1886 | 34 | |
Full-time employees in Stockholm | employees | 5072 | 4870 | 4407 | 34 | |
Full-time employees in Sydney | employees | 292 | 478 | 634 | 34 | |
Gender distribution of workforce (Female) - Hangzhou | % | 29 | 28 | 35 | ||
Gender distribution of workforce (Female) - Hong Kong | % | 22 | 23 | 35 | ||
Gender distribution of workforce (Female) - London | % | 23 | 23 | 35 | ||
Gender distribution of workforce (Female) - Melbourne | % | 30 | 30 | 35 | ||
Gender distribution of workforce (Female) - Shenzhen | % | 23 | 24 | 35 | ||
Gender distribution of workforce (Female) - Stockholm | % | 27 | 29 | 35 | ||
Gender distribution of workforce (Female) - Sydney | % | 31 | 27 | 35 | ||
Gender distribution of workforce (Male) - Hangzhou | % | 71 | 72 | 35 | ||
Gender distribution of workforce (Male) - Hong Kong | % | 78 | 77 | 35 | ||
Gender distribution of workforce (Male) - London | % | 77 | 77 | 35 | ||
Gender distribution of workforce (Male) - Melbourne | % | 70 | 70 | 35 | ||
Gender distribution of workforce (Male) - Shenzhen | % | 77 | 76 | 35 | ||
Gender distribution of workforce (Male) - Stockholm | % | 73 | 71 | 35 | ||
Gender distribution of workforce (Male) - Sydney | % | 69 | 73 | 35 | ||
Number of MTR colleagues celebrated 40 years of service | 46 | 50 | ||||
Number of MTR colleagues celebrated milestones of 20, 30, and 40 years of service | 580 | 50 | ||||
Ordinary Dividends Paid (HKSAR Government) | HK$ million | 6071 | 15 | |||
Ordinary Dividends Paid (Other Shareholders) | HK$ million | 2076 | 15 | |||
Passenger journeys served in Hong Kong | billion | 1.9 | 4 | |||
Staff Costs (Employees) | HK$ million | 16454 | 15 | |||
Targeted female representation on the MTR Board | percent | 27 | 27 | 3 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Voluntary Turnover Rate - Elizabeth line | % | 6 | 50 |
Voluntary Turnover Rate - Hangzhou Metro Line 5 | % | 5.2 | 50 |
Voluntary Turnover Rate - Hong Kong | % | 6.2 | 50 |
Voluntary Turnover Rate - MTRX | % | 4.3 | 50 |
Voluntary Turnover Rate - Melbourne’s Metropolitan Rail Services | % | 19.1 | 50 |
Voluntary Turnover Rate - Mälartåg | % | 6 | 50 |
Voluntary Turnover Rate - Shenzhen Metro Line 4 | % | 5.2 | 50 |
Voluntary Turnover Rate - Stockholm Metro | % | 4.3 | 50 |
Voluntary Turnover Rate - Stockholms Pendeltåg | % | 2.1 | 50 |
Voluntary Turnover Rate - Sydney Metro M1 Metro North West & Bankstown Line | % | 6 | 50 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Customer and Public Fatalities for Operating Locations Outside Hong Kong - Melbourne's Metropolitan Rail Service | 3 | 28 | |||
Customer and Public Fatalities in Hong Kong - Heavy Rail | 1 | 28 | |||
Customer and Public Hospitalisation Injuries in Hong Kong - Bus | 1 | 3 | 4 | 28 | |
Customer and Public Hospitalisation Injuries in Hong Kong - Heavy Rail | 87 | 181 | 128 | 28 | |
Customer and Public Hospitalisation Injuries in Hong Kong - Light Rail | 4 | 3 | 1 | 28 | |
Hospitalisation Injuries per 100 Million Passenger Journeys in Hong Kong - Bus Performance | 1.74 | 4.35 | 5.7 | 28 | |
Hospitalisation Injuries per 100 Million Passenger Journeys in Hong Kong - Bus Target | 6.85 | 5.83 | 5.83 | 28 | |
Hospitalisation Injuries per 100 Million Passenger Journeys in Hong Kong - Heavy Rail Performance | 6.5 | 10.84 | 7.47 | 28 | |
Hospitalisation Injuries per 100 Million Passenger Journeys in Hong Kong - Heavy Rail Target | 5.67 | 5.65 | 5.65 | 28 | |
Hospitalisation Injuries per 100 Million Passenger Journeys in Hong Kong - Light Rail Performance | 3.04 | 2 | 0.65 | 28 | |
Hospitalisation Injuries per 100 Million Passenger Journeys in Hong Kong - Light Rail Target | 8.38 | 7.31 | 6.31 | 28 | |
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Elizabeth line Performance | 2.1 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Elizabeth line Target | 1.99 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Hangzhou Metro Line 5 Performance | 0.22 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Hangzhou Metro Line 5 Target | 0.73 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - MTRX Performance | 28.61 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - MTRX Target | 19 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Melbourne's Metropolitan Rail Service Performance | 1.25 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Melbourne's Metropolitan Rail Service Target | 1.24 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Mälartåg Performance | 0.41 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Mälartåg Target | 0.8 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Shenzhen Metro Line 4 Performance | 0.54 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Shenzhen Metro Line 4 Target | 1.35 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Stockholm Metro Performance | 0.84 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Stockholm Metro Target | 1 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Stockholms Pendeltåg Performance | 0.23 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Stockholms Pendeltåg Target | 0.72 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Sydney Metro M1 Metro North West & Bankstown Line Performance | 2.19 | 28 | |||
Injuries per Million Passenger Journeys for Operating Locations Outside Hong Kong - Sydney Metro M1 Metro North West & Bankstown Line Target | 3.1 | 28 | |||
Work-related Fatalities for Construction Projects in Hong Kong - Contractor | 1 | 31 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Corporate Support Functions | 0.34 | 0.85 | 0.32 | 31 | |
Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Investment Property | 0.2 | 0.17 | 0.11 | 31 | |
Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Management Property | 0.15 | 0.1 | 0.05 | 31 | |
Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Operations Railway | 0.28 | 0.25 | 0.15 | 31 | |
Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Project Construction – Network Improvement Projects | 0.05 | 0.08 | 31 | ||
Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Project Construction – Railway Extension Projects | 0.22 | 0.13 | 0.21 | 31 | |
Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Property Development and Investment Projects | 0.01 | 0.02 | 0.01 | 31 | |
Lost Time Injuries per 100000 man-hours for Staff in Hong Kong - Capital Works Business Unit | 0.06 | 31 | |||
Lost Time Injuries per 100000 man-hours for Staff in Hong Kong - Corporate Support Functions | 0.17 | 0.11 | 0.14 | 31 | |
Lost Time Injuries per 100000 man-hours for Staff in Hong Kong - Hong Kong Property Business Unit | 0.16 | 0.04 | 0.07 | 31 | |
Lost Time Injuries per 100000 man-hours for Staff in Hong Kong - Hong Kong Transport Services Business Unit | 0.33 | 0.37 | 0.32 | 31 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022–2025 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|
150 DEI training events for staff will be held in 2024 | DEI training events | 400 | 19 | ||
Accessibility training delivered by MTR Elizabeth line | colleagues | 156 | 48 | ||
ESG training events for staff | events | 150 | 23 | ||
Equality & Diversity training delivered by MTR Elizabeth line | colleagues | 601 | 48 | ||
Equally Yours training delivered by MTR Elizabeth line | colleagues | 72 | 48 | ||
Investment in startups | HK$ million | 300 | 23 | ||
Tailored workshops for managers on equality, diversity, and inclusion by MTR Elizabeth line | managers | 111 | 48 | ||
Wellness related activities / events for employees | events | 10 | 23 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Average Training Days per Employee - Elizabeth line | days | 1.9 | 1 | 4.2 | 48 |
Average Training Days per Employee - Hangzhou Metro Line 5 | days | 15.7 | 9.6 | 11.6 | 48 |
Average Training Days per Employee - Hong Kong | days | 6.1 | 7.4 | 7.7 | 48 |
Average Training Days per Employee - MTRX | days | 3.9 | 5.6 | 2.5 | 48 |
Average Training Days per Employee - Melbourne’s Metropolitan Rail Service | days | 9.4 | 11.7 | 10.9 | 48 |
Average Training Days per Employee - Mälartåg | days | 2.8 | 5.1 | 2.6 | 48 |
Average Training Days per Employee - Shenzhen Metro Line 4 | days | 8.7 | 8.6 | 12.9 | 48 |
Average Training Days per Employee - Stockholm Metro | days | 3.1 | 3.8 | 2.9 | 48 |
Average Training Days per Employee - Stockholms Pendeltåg | days | 2.6 | 2.9 | 0.4 | 48 |
Average Training Days per Employee - Sydney Metro M1 Metro North West & Bankstown Line | days | 3.6 | 17.6 | 23 | 48 |
Average number of learning days provided to employees per year | days | 7 | 20 | ||
Total Staff Training in Hong Kong - Management Training | man-day | 10753 | 14983 | 19094 | 48 |
Total Staff Training in Hong Kong - Operation Training | man-day | 89664 | 109801 | 119844 | 48 |
Number of suppliers by geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of SMEs issued purchase orders by Metro Trains Sydney | 200 | 53 | |
Other Operating Costs (Suppliers & Business Partners) | HK$ million | 19038 | 15 |
Percentage of Spending on Property Management - Cleaning, Security & Clubhouse Services | % | 27.88 | 53 |
Percentage of Spending on Property Management - Other Goods & Services | % | 43.42 | 53 |
Percentage of Spending on Property Management - Works & Maintenance Services | % | 28.7 | 53 |
Percentage of Spending on Transport Operations - General Goods & Services | % | 10.94 | 53 |
Percentage of Spending on Transport Operations - Goods, Services & Spares | % | 66.62 | 53 |
Percentage of Spending on Transport Operations - Works & Maintenance Services | % | 22.44 | 53 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Number of supplier review audits conducted | audits | 16 | 20 | |
Number of suppliers attending training on calculation of carbon emissions | suppliers | over 30 | 20 | |
On-time delivery rate for train services and passenger journeys on heavy rail network in Hong Kong | % | 99.9 | 4 | |
Supplier review audits conducted | audits | 15+ | 23 | |
Supplier review meetings covering ESG | meetings | at least 20 | 23 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of supplier review meetings covering ESG | meetings | 19 | 20 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Amount spent on green procurement | million HKD | 500 | 20 | |
Spending on green procurement | HK$ million | 500 | 23 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Revenue from Hong Kong Property Rental and Management Businesses | HK$ million | 5379 | 15 |
Revenue from Hong Kong Station Commercial Businesses | HK$ million | 5343 | 15 |
Revenue from Hong Kong Transport Operations | HK$ million | 23013 | 15 |
Revenue from Mainland China and International Subsidiaries | HK$ million | 25467 | 15 |
Revenue from Other Businesses | HK$ million | 2149 | 15 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2025 | Report Pages |
---|---|---|---|
Number of digitalisation programmes of customer services to be rolled out | programmes | 2 | 24 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Passenger comfort and safety gates installed | gates | 1600 | 4 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Automatic platform gates installed on East Rail Line stations | stations | 13 | 4 |
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 | 2024 | Report Pages |
---|---|---|---|
Interest and Finance Costs (Lenders) | HK$ million | 1605 | 15 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2022–2025 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|
10 secondary schools with diverse student bodies will be reached out for career sharing/ job shadowing in 2024 | secondary schools | 13 | 19 | ||
Additional bike parking spaces to be provided around stations and properties managed by MTR by 2025 | bike parking spaces | 1400+ | 21 | ||
Awards received at International Exhibition of Inventions Geneva | awards | 21 | 4 | ||
Bike parking spaces provided as of end-2024 | bike parking spaces | 1180 | 21 | ||
MTR Hangzhou monthly pass discounts for elders | million passengers | 4.1 | 33 | ||
MTR Hangzhou monthly pass discounts for university graduates | million passengers | 2.6 | 33 | ||
MTR fare concessions target average daily passenger trips | million average daily passenger trips | 1 | 33 | ||
No less than 1 million average daily passenger trips will benefit from fare concessions in 2024 | million average daily passenger trips | 13 | 19 | ||
Number of participants at MTRC Annual Gathering and Awards Presentation Ceremony | 240 | 50 | |||
Number of wellness related activities/events organised for employees | events | over 10 | 20 | ||
People benefiting from future skills and innovation programmes | people | 50000+ | 23 | ||
Percentage of managed residential properties organising wellness activities | percent | 88 | 20 | ||
Percentage of managed residential properties signing Heart Caring Charter and organising wellness activities | percent | 100 | 20 | ||
Startups funded to foster innovation and entrepreneurship | million HKD | 300 | 4 | ||
Student WIT project conducted | project | 1 | 23 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2024 | 2025 | 2026 | Report Pages |
---|---|---|---|---|---|
200000 people will benefit from our community programmes and volunteering projects from 2022 to 2025 | people | 200000 | 19 | ||
Amount invested in startups from 2022 to 2025 | million HKD | 300 | 20 | ||
Green spending achieved | million HKD | 500 | 53 | ||
HK$100 million will be spent on direct local community investment and donations from 2022 to 2025 | million HKD | 90 | 19 | ||
Hong Kong Property Development Profit from Share of Surplus, Income and Interest in Unsold Properties | HK$ million | 12185 | 15 | ||
MTR Hangzhou total monthly pass discounts provided | million passengers | 19.6 | 33 | ||
Managed residential properties signing Heart Caring Charter and organising wellness activities | of managed residential properties | Over 65% | 23 | ||
Number of hours awarded to outstanding staff and retiree volunteers | hours | 43 | 50 | ||
Number of people participating in low-carbon initiatives | people | 60000 | 24 | ||
Number of retiring colleagues at Retirees Celebration Lunch | 200 | 50 | |||
Pledged donation to local community programmes and volunteering projects | HKD | 10000000 | 10000000 | 3 | |
Scholarship opportunities provided for local students | 200 | 4 | |||
Taxes (Governments) | HK$ million | 2475 | 15 |
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 | 2019 | 2024 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 295447 | 187331 |
Indirect Energy Emissions (Scope 2) | tCO2e | 1108092 | 848050 |
Scope 3 GHG Emissions (Business Travel) | tCO2e | 2216 | 1341 |
Scope 3 GHG Emissions (Capital Goods) | tCO2e | 613954 | 721816 |
Scope 3 GHG Emissions (Downstream Leased Assets) | tCO2e | 91738 | 5776 |
Scope 3 GHG Emissions (Employee Commuting) | tCO2e | 54091 | 13214 |
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | tCO2e | 51242 | 54891 |
Scope 3 GHG Emissions (Purchased Goods/Services) | tCO2e | 162806 | 138536 |
Scope 3 GHG Emissions (Upstream Leased Assets) | tCO2e | 235691 | 13423 |
Scope 3 GHG Emissions (Waste Generated in Operations) | tCO2e | 30161 | 13216 |
Total GHG Emissions | tCO2e | 2630175 | 1689954 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
Percentage of Reduction in GHG Intensity Compared to Last Year | % | -27.7 |
Scope 3 Emissions Reduction Percentage Compared to Last Year | % | -5.8 |
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 | 2022 | 2023 | 2024 |
---|---|---|---|---|
Purchased Electricity | GWh | 3051.67 | 3188.65 | 2990.25 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 | 2026 |
---|---|---|---|
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 20 | 20 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2025 |
---|---|---|
Water Consumption Reduction Percentage Compared to Last Year | % | 5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Employees in Australia | employees | 6128 | 6452 | 6330 |
Number of Employees in Europe | employees | 6331 | 6135 | 5666 |
Number of Employees in Hong Kong | employees | 16804 | 17405 | 18411 |
Number of Employees in Mainland China | employees | 4721 | 4848 | 4874 |
Number of Employees in Sydney | employees | 292 | 478 | 634 |
Number of Employees in United Kingdom | employees | 1259 | 1265 | 1259 |
Number of Full-time Employees | employees | 34876 | 35218 | 36815 |
Percentage of Female Employees | % | 24.1 | 24.6 | |
Percentage of Male Employees | % | 75.9 | 75.4 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Turnover Rate of Employees in Australia | % | 19.1 |
Turnover Rate of Employees in Hong Kong | % | 6.2 |
Turnover Rate of Employees in Mainland China | % | 5.2 |
Turnover Rate of Employees in Sweden | % | 4.3 |
Turnover Rate of Employees in United Kingdom | % | 6 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Work-related Fatalities | 1 | |
Number of Work-related Fatalities for Contractors | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Time Injury Frequency Rate (Contractor) | per 100000 man-hours | 1.2 | 1.57 | 0.93 |
Lost Time Injury Frequency Rate (Employees) | per 100000 man-hours | 0.66 | 0.52 | 0.59 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2024 |
---|---|---|
Total Cost of Training | HK$ million | 300 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Average Training Hours (Hong Kong Employees) | hours | 48 | 59.2 | 61.6 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Suppliers in Australia | 200 | |
Proportion of Spending on Local Suppliers | % | 27.88 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Suppliers Participating in ESG Training | suppliers | 30 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2024 | 2025 |
---|---|---|---|
Total Public Welfare Donations | million HKD | 10 | 10 |
Total Social Investment | million HKD | 35 | |
Total Volunteer Service Hours | hours | 43 |