Advances in technology may provide new opportunities in metropolitan railway finance, says Joseph Potvin, Executive Director, Xalgorithms Foundation
It is common knowledge that commercial and residential properties within an easy walk of metropolitan train stations are in relatively greater demand, which tends to be reflected in their significantly higher lease and sale values. This mobility premium has long been the basis for so-called Transit-Oriented Development (TOD) initiatives.
However, property value capture for metropolitan railway systems has had to rely upon the very blunt instruments available to governments, such as property taxes and special developer charges. Similar approaches have been used in static commercial arrangements. All of these depend upon broad assumptions about what part of the property value increment should be reasonably attributed to the provision of train service. The 'Rail-Powered Property - Property-Powered Rail' (RPP-PPR) Open Market Development Model introduces this sort of value management precision to railway finance, and promises to be large enough in scale to liberate rail finance from dependence upon government subsidies, public debt, taxes, and exclusivity charters.
Joseph Potvin, Executive Director, Xalgorithms Foundation, will be outlining this approach at the Rail Stations and Property Summit on 27 February in London.
A year ago the UK Department of Transport launched an initiative to invite 'market-led proposals' for the country's railways. Its guidance document describes a 'Category 1 Market-Led Proposal' (Cat 1 MLP) as one that does not require government funding, nor any changes to government agreements, and that does not seek government-issued exclusivity. Such a project would only need to pass the relevant safety tests, obtain the necessary licences, and engage effectively with Network Rail and the Office of Rail and Road (ORR).
This Department of Transport guidance document refers to 'property development models where the delivery body develops and enhances the land around a transport scheme and the profits are used to pay for that scheme' (such as the Euston 'over station' development arrangements). It also mentions 'direct contributions where benefiting businesses contribute directly to the cost of transport infrastructure' (such as where the Canary Wharf Group contributes to the Crossrail project). The 'Rail-Powered Property - Property-Powered Rail' (RPP-PPR) Open Market Development Model appears to enable a new approach for Cat 1 MLPs by re-framing the challenge.
With the emerging capabilities in algorithmic contracting, ongoing data from property lease and sale transactions can be assembled into online reference tables, from which analytics software can detect statistical correlations between property value increments and the provision of regional rail connectivity. Such a system would also automatically correct for changes to the overall strength and weakness of property market in a given region. The result can be brought into each individual transaction through any e-commerce or e-payments platform. On this basis, the value increase attributable to train service can be split by a negotiated proportion amongst the property owners, and the providers of train and stations services.
The 'Rail-Powered Property - Property-Powered Rail' (RPP-PPR) Open Market Development Model introduces this sort of value management precision to railway finance, and it promises to be large enough in scale to liberate rail finance from dependence upon government subsidies, public debt, taxes, and exclusivity charters.
The not-for-profit Xalgorithms Foundation has designed the essential data specifications and free/libre/open software components required to implement RPP-PPR, although the approach has not yet been implemented. The project-level business rationale has been provided by a group of Canadian companies called MOOSE Consortium (Mobility Ottawa-Outaouais: Systems & Enterprises) which is working to employ this novel scheme to finance a 400 km passenger railway service throughout Canada's National Capital Region. Its creators are attempting to use it to resolve the institutional divergence which has prevented Canada's National Capital Region from obtaining a metropolitan-scale railway on existing tracks, even though it is sorely needed. But this new approach may be useful to railway development projects elewhere that would benefit from improved access to the property value they generate.
The RPP-PPR appears to enable a new approach for Cat 1 MLPs, by re-framing the problem. Rather than describing a transit network management organization with a financial interests in properties, RPP-PPR foresees a property network management organisation with a financial interest in train services. The reason is simple: the big money is in the property....
This introduces a competitive open market in which property owners and developers focus on creating a network of “Linked Localities”.
First comes Rail-Powered Property, and only then Property-Powered Rail, generating and turning into cash flow new value in a positive feedback loop. In this synergistic incentive structure, availability and quality of the rail service drives property value, and property value drives the return on investment
A key business design innovation in RPP-PPR is to fully separate the business of running stations from the business of running trains.
Each station is owned, developed and operated as an independent enterprise that may be a profit seeking or not-for-profit; singularly or co-operatively owned; and private or public sector. They each purchase a train station licence, and then subscribe to high quality train service two months forward in exchange for an proportion of the property value increase from two months earlier.
To succeed with this model, a station company will need to enlist the voluntary participation of property owners/investors within 0.8 km of the station, which circumscribes a two square kilometre area. Risk and uncertainty decline as the number of localities and the total area served increases. A 400 km system with 50 Linked Localities would involve ongoing property transactions across 100 square kilometres. Typically the lease transactions occur monthly. And properties tend to be sold on average about every 20 years, so that in any typical two square kilometre area it can be expected that several property sales will close each month.
The RPP-PPR formula sets a fee for train service based on actual transactions. However each station enterprise, and the stakeholder property owners/investors within its locality, remain free to assemble the funds by their own preferred method (e.g. affirmative covenants; common elements freehold condominium; municipal tax instruments). Current-generation smart contracting methods make any such arrangements feasible across disparate property owners.
A 'smart contract' is any transaction performed with a set of computable clauses that run automatically on a peer-to-peer database. This idea is a quarter century old, and peer-to-peer databases have been around for almost as long. But these capabilities finally hit the mainstream in the past five years with the advent of methods which offer improved traceability and transparency.
Preliminary empirical estimates by Xalgorithms Foundation indicate that where existing railway corridors are available, a new RPP-PPR initiative with 10 to 12 initial license sales would be able to generate sufficient revenue to bootstrap all start-up funds for planning and business development. Market expectations should then begin to generate sustained income from induced property value at a scale enabling straightforward capital financing of start-up infrastructure improvements. In this model, the property network management company obtains all of its funding through the licenses. Venture capital investors would be directed towards property development opportunities around stations. That’s where the big money is.
There are basically three steps:
In its pure form, the RPP-PPR model is designed to bootstrap major metropolitan railway systems from scratch, assuming corridors are available for rail. But RPP-PPR can also be adapted for incremental extensions and transformation of existing metropolitan systems.
One may imagine, for example, Network Rail around any UK city, or Metrolinx in Toronto, Canada, undertaking a 'proof-of-concept' with the community of property owners around one new volunteer suburban locality. In this scenario, the land for a station building currently owned by the raiway would be sold to an independent commercial developer, who agrees to pay a monthly 'subscription' fee for continued train service to that station in exchange for a negotiated apportionment (60:40? 70:30? 50:50?) of the increment to property values attributable to the train service.
If this is a well-selected locality, in a short time market demand for the surrounding commercial and residential properties will augment, the station will be upgraded in comfort and amenities, and a development cycle will be underway. Metrolinx or Network Rail would receive an initial injection of cash from the property sale, plus an ongoing revenue stream from the train subscription generated through the lease and sale values within the defined perimeter.
The subscription fee for train service in such a scenario would have been difficult to monitor and to collect by any conventional means. But smart contracting and distributed algorithmic payment methods will make value apportionment straightforward.
TransportXtra is part of Landor LINKS
© 2021 TransportXtra | Landor LINKS Ltd | All Rights Reserved
Subscriptions, Magazines & Online Access Enquires
[Frequently Asked Questions]
Email: email@example.com | Tel: +44 (0) 20 7091 7959
Shop & Accounts Enquires
Email: firstname.lastname@example.org | Tel: +44 (0) 20 7091 7855
Advertising Sales & Recruitment Enquires
Email: email@example.com | Tel: +44 (0) 20 7091 7861
Events & Conference Enquires
Email: firstname.lastname@example.org | Tel: +44 (0) 20 7091 7865
Press Releases & Editorial Enquires
Email: email@example.com | Tel: +44 (0) 20 7091 7875
Web design sussex by Brainiac Media 2020