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Abstract This paper develops a positive theory of network connectivity, seeking to explain the micro-foundations of alternative network topologies as the result of self-interested actors. By building roads, landowners hope to increase their parcels’ accessibility and economic value. A simulation model is performed on a grid-like land use layer with a downtown in the center, whose structure is similar to the early form of many Midwestern and Western US cities. This research posits that the growth of road network experiences an evolutionary process where tree-like structure first emerges around the centered parcel before the network pushes outward to the periphery. In addition, road network topology undergoes clear phase changes as the economic values of parcels vary. The results demonstrate that even without a centralized authority, road networks have the property of self-organization and evolution, and, that in the absence of intervention, the tree-like or web-like nature of networks is a result of the underlying economics. David Levinson and Arthur Huang Department of Civil Engineering University of Minnesota, Twin Cities A Positive Theory of Network Connectivity Theory Parcel owner m builds road link k (in iteration t) to maximize the value of its parcel. The marginal profit for block i to build segment k in road set R equals the extra value with link k compared with value without link k minus the construction cost of link k, which can be represented as: Where The first part of the function reflects the change in accessibility associated with a new link. In this specification, is the shortest path travel cost between parcel m and parcel j; is impedance function, in this case a gravity relationship; represents the decay parameter; refers to the value of accessing parcel j, which takes on a predetermined value. Firms Homes Firms + + Homes + - Table 1: Affinity between types of places Grid-like structure (Minneapolis-St. Paul, 1906) Cul-de-sacs and larger block sizes (Golden Valley and Northern Minneapolis, post WWII) Crossing roads emerging as centers (Tysons Corner, Virginia) Different road network topologies Land use affinity Firms want to be near other firms of economies of agglomeration emerge when different firms co-locate. Sources of agglomeration economies include: labor market pooling and other input sharing (sharing), access to specialized goods and services (matching), technological spillovers (learning), natural advantage, home market effects, consumption opportunities, and rent-seeking Firms want to be near workers, because workers are a major input into the production process. Workers want to be near firms which provide jobs, since being near more jobs means there is additional demand, and thus higher wages. Workers want to live at homes far from other workers, since this reduces both competition for jobs (and means higher wages) and competition for land (and thus means lower rents and more space). The evolution of road networks The road network topology evolves from Iteration 0 to Iteration 4, with β =-0.3, c = 500, wn = 400, wc = 1500, N=81, and d= 4. There is no road in the beginning. A tree-like structure emerges at the end of the first iteration. At the end of Iteration 6, the network is fully-connected. The treeness and circuitness ratios change as wn changes from 0 to 120, with β = -0.3, c = 500, wc = 1500, N=81, and d = 4. When the value of wn is low, the network is more tree-like; when the value of wn grows, the network evolves into circuit-like as more redundant or parallel links are constructed. Accessibility by network topology: Conclusions This research sheds light on the effect of a possible economic incentive—the value of accessibility. Our simulation results replicate the dynamic growth of road networks and their phase changes in different economic conditions. We observe that networks are likely to be dense in the center and become sparser over space as commercial activities transition to residential activities and land densities diminish. A natural consequence is that residential areas where the shortened time does not outweigh the additional cost of construction will require another mechanism in order to obtain through links. Some mechanisms are: public provision of local roads, rules embedded in sub-division ordinances, large developments that can internalize the otherwise external benefits of through connectivity, or side payments from other developers in order to obtain through links. Hierarchy of roads: Interst ate Major Arterial Arterial Corridor Local k i i i l c k R A k R A k p ]) ... 0 [ ( ]) .... 0 [ ( ) ( ) ( ) ( 1 mj J j i i c f w R A mj mj c c f ) ( The model The road network to be built overlays a grid-like land layer of N land parcels, respectively owned by N land owners. The value of a land parcel is determined by its accessibility to other land parcels. Land owners build roads to increase the accessibility of their own parcels (and thus increase parcel values). Roads (links) can only run parallel to the x-axis or y-axis, with no overpasses. Road construction is irreversible; once a road is built, it cannot be severed. Parcel owners take turns to build roads; the sequence is randomly decided. Each parcel owner can make two choices at one time: 1.Building one link between two adjacent land parcels which are not yet connected. Moreover, a new road can only parallel the x-axis or y-axis; 2.Building no links. Out of all possible links to be built, if the maximum benefit that can be obtained in an iteration is larger than the benefit without building a link, parcel owner then will build this link. i A mj c ) ( mj c f j w Source: (Levinson and Krizek, 2008) TRB #11-0434 The treeness and circuitness ratios change as c changes from 50 to 1000. When the value of c is low, the network is fully- connected. As the cost increases, the network is less connected as a mix of tree-like and circuit-like structures. When the cost continues to enlarge, the network shrinks to be tree- like. When c > 950, no link is built. 0 100 200 300 400 500 600 700 800 900 1000 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 treeness circuitne ss c (cost per unit length of a new link) Network connectivity measures (Unit 1) 0 100 200 300 400 500 600 700 800 900 1000 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 treeness circuitn ess wn Network connectivity measures (Unit: 1) Mobility : high flow, low access Land access: low flow, high access

Abstract This paper develops a positive theory of network connectivity, seeking to explain the micro- foundations of alternative network topologies as

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AbstractThis paper develops a positive theory of network connectivity, seeking to explain the micro-foundations of alternative network topologies as the result of self-interested actors. By building roads, landowners hope to increase their parcels’ accessibility and economic value. A simulation model is performed on a grid-like land use layer with a downtown in the center, whose structure is similar to the early form of many Midwestern and Western US cities. This research posits that the growth of road network experiences an evolutionary process where tree-like structure first emerges around the centered parcel before the network pushes outward to the periphery. In addition, road network topology undergoes clear phase changes as the economic values of parcels vary. The results demonstrate that even without a centralized authority, road networks have the property of self-organization and evolution, and, that in the absence of intervention, the tree-like or web-like nature of networks is a result of the underlying economics.

David Levinson and Arthur HuangDepartment of Civil Engineering

University of Minnesota, Twin Cities

A Positive Theory of Network Connectivity

Theory Parcel owner m builds road link k (in iteration t) to maximize the value of its parcel. The marginal profit for block i to build segment k in road set R equals the extra value with link k compared with value without link k minus the construction cost of link k, which can be represented as:

Where

The first part of the function reflects the change in accessibility associated with a new link. In this specification, is the shortest path travel cost between parcel m and parcel j; is impedance function, in this case a gravity relationship; represents the decay parameter; refers to the value of accessing parcel j, which takes on a predetermined value.

Firms Homes

Firms + +

Homes + -

Table 1: Affinity between types of places

Grid-like structure (Minneapolis-St. Paul, 1906) Cul-de-sacs and larger block sizes (Golden Valley and Northern Minneapolis, post WWII)

Crossing roads emerging as centers (Tysons Corner, Virginia)

Different road network topologies

Land use affinityFirms want to be near other firms of economies of agglomeration emerge when different firms co-locate. Sources of agglomeration economies include: • labor market pooling and other input sharing (sharing),• access to specialized goods and services (matching),• technological spillovers (learning),• natural advantage, • home market effects,• consumption opportunities, and • rent-seeking

Firms want to be near workers, because workers are a major input into the production process. Workers want to be near firms which provide jobs, since being near more jobs means there is additional demand, and thus higher wages.

Workers want to live at homes far from other workers, since this reduces both competition for jobs (and means higher wages) and competition for land (and thus means lower rents and more space).

The evolution of road networksThe road network topology evolves from Iteration 0 to Iteration 4, with β =-0.3, c = 500, wn = 400, wc = 1500, N=81, and d= 4. There is no road in the beginning. A tree-like structure emerges at the end of the first iteration. At the end of Iteration 6, the network is fully-connected.

The treeness and circuitness ratios change as wn changes from 0 to 120, with β = -0.3, c = 500, wc = 1500, N=81, and d = 4. When the value of wn is low, the network is more tree-like; when the value of wn grows, the network evolves into circuit-like as more redundant or parallel links are constructed.

Accessibility by network topology:

ConclusionsThis research sheds light on the effect of a possible economic incentive—the value of accessibility. Our simulation results replicate the dynamic growth of road networks and their phase changes in different economic conditions.

We observe that networks are likely to be dense in the center and become sparser over space as commercial activities transition to residential activities and land densities diminish. A natural consequence is that residential areas where the shortened time does not outweigh the additional cost of construction will require another mechanism in order to obtain through links. Some mechanisms are:

• public provision of local roads, • rules embedded in sub-division ordinances, • large developments that can internalize the otherwise external benefits of through connectivity, or • side payments from other developers in order to obtain through links.

Hierarchy of roads:

Interstate

Major Arterial

Arterial

Corridor

Local

kiii lckRAkRAkp ])...0[(])....0[()(

)()(1

mj

J

jii cfwRA

mjmj ccf )(

The model The road network to be built overlays a grid-like land layer of N land parcels, respectively owned by N land owners. The value of a land parcel is determined by its accessibility to other land parcels. Land owners build roads to increase the accessibility of their own parcels (and thus increase parcel values). Roads (links) can only run parallel to the x-axis or y-axis, with no overpasses. Road construction is irreversible; once a road is built, it cannot be severed.

Parcel owners take turns to build roads; the sequence is randomly decided. Each parcel owner can make two choices at one time:

1. Building one link between two adjacent land parcels which are not yet connected. Moreover, a new road can only parallel the x-axis or y-axis;

2. Building no links. Out of all possible links to be built, if the maximum benefit that can be obtained in an iteration is larger than the benefit without building a link, parcel owner then will build this link.

iAmj c

)( mjcfjw

Source: (Levinson and Krizek, 2008)

TRB #11-0434

The treeness and circuitness ratios change as c changes from 50 to 1000. When the value of c is low, the network is fully-connected. As the cost increases, the network is less connected as a mix of tree-like and circuit-like structures. When the cost continues to enlarge, the network shrinks to be tree-like. When c > 950, no link is built.

0 100 200 300 400 500 600 700 800 900 10000

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

treeness

circuitness

c (cost per unit length of a new link)

Network connectivity measures (Unit 1)

0 100 200 300 400 500 600 700 800 900 10000

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

treeness

circuitness

wn

Network connectivity measures (Unit: 1)

Mobility: high flow, low access

Land access: low flow, high access