Table 2 Nomenclature.

AI(u)

Angular Integration of segment u

β_{Cycle lane}

Cycle lane parameter of route choice model

β_{Cycle track}

Cycle track parameter of route choice model

β_jk

k-th parameter of alternative j

\({\beta }_{j}^{PS}\)

Path Size parameter of alternative j

β_k

k-th parameter of route choice model

β_length

Length parameter of route choice model

C

Choice set

CH_angular(u)

Angular Choice of segment u

γ_i,i+1

Angle between i-th and i + 1-th segment within a path

d_angular(u,v)

Angular distance between segments u and v

d_walking(u,v)

Walking distance between segments u and v

δ_ij

Binary variable of segment i within route j

δ_t

Binary variable of segment t

f

Index of a segment

g

Index of a segment

h

Index of an hour of the week

i

Index of a segment of a path P

j

Index of an alternative route

k

Index of a route attribute

L_j

Path length of alternative j

l_i

Segment length of segment i

N

Number of segments within a network

N_P

Number of segments within path P

n_ave,h

Average trips at hour h of the week

n_ave,total

Average hourly trips over study period

NACH(u)

Normalised Angular Choice of segment u

NAIN(u)

Normalised Angular Integration of segment u

P

Index of a path

P_j

Choice probability of alternative j

\({\mathcal{P}}_{u,v}\)

Set of paths between segments u and v

\({\mathcal{P}*}_{f,g}\)

Set of shortest paths between segments f and g

PS_j

Path Size attribute of alternative j

s

Standard deviation of average hourly trips

t

Index of routes within \({\mathcal{P}*}_{f,g}\)

TD(u)

Total Depth of segment u

\({\Gamma }_{j}\)

Set of segments in route j

u

Index of a network segment

V_j

Systematic utility of alternative j

v

Index of a network segment

VoD

Value-of-distance

w(γ_i,i+1)

Weight of angle γ_i,i+1

X_jk

k-th attribute of alternative j

Z_h

Deviation of average e-scooter traffic at hour h from weekly mean