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16-Civ-A6 Highway Design, Construction, and Maintenance · May 2014

Question 1 of 7: Land Use, Mode Choice and the Gravity Model

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Paper format. National Examination, 98-Civ-A6 Transportation Planning & Engineering, May 2014 — 3 hours, closed book (one two-sided aid sheet). Seven questions; any five constitute a complete examination and all are of equal value (20 marks). All seven are solved below as a study resource.

Reference texts (subject).

Question 1: Land Use, Mode Choice and the Gravity Model (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

(a) Land development and transit accessibility. Land use and transportation form a two‑way feedback loop: the pattern of activities generates travel demand, while the accessibility delivered by the transport system reshapes where activities locate. High‑quality transit accessibility raises the value of the land it serves, which encourages denser commercial and residential development around stations and along corridors — the mechanism behind transit‑oriented development (TOD). In turn, the compact, mixed‑use districts that grow up around good transit produce the concentrated, two‑directional ridership that transit needs to be efficient. The reverse also holds: low‑density, single‑use suburban development disperses trip ends so widely that no fixed‑route service can capture them economically, locking in automobile dependence. Effective planning therefore coordinates zoning, parking policy and density bonuses with service investment so that the land‑use and transit decisions reinforce rather than undermine each other.

(b) Trip purpose and mode choice. The utility a traveller assigns to each mode — and therefore the mode chosen — depends strongly on the purpose of the trip. Work (commute) trips are regular, time‑critical and made in the peak, so reliability and travel time dominate; they are the trips most amenable to transit, carpooling and ride‑sharing because origins and destinations cluster and the schedule is predictable. Shopping trips often involve carrying goods, chaining several stops, and mid‑day off‑peak timing, which favours the flexibility and load capacity of the private automobile and penalises transfer‑heavy transit. Recreational/social trips are the most discretionary: they vary in timing, destination and party size, are frequently made by groups, and are sensitive to comfort and cost rather than to schedule, so they too lean toward the automobile except where a strong transit spine serves major venues. Because value‑of‑time, the number of accompanying travellers, and the need to carry goods all shift with purpose, demand models estimate separate mode‑choice relationships by trip purpose.

(c) Gravity‑model assumptions and limitations. The gravity model distributes trips between zones in proportion to the trip‑productions and attractions of the zones and inversely to a function of the travel impedance between them. Its core assumptions are: (1) the number of trips between two zones is directly proportional to the total trips produced at the origin and attracted to the destination; (2) interaction decays with a deterrence (friction) function of inter‑zonal impedance — travel time, distance or generalised cost; (3) the friction function and any zone‑pair adjustment (K) factors are stable and transferable over the forecast horizon; and (4) the productions and attractions are known and the distribution is constrained to reproduce them (singly or doubly constrained). The limitations follow directly: the deterrence function must be calibrated to observed data and is not truly stable as networks and behaviour change; the model is aggregate and ignores individual traveller characteristics and choice; it treats each zone pair independently and cannot represent competition or intervening opportunities without K‑factors that absorb, rather than explain, the residual error; and it says nothing about why people travel, so it transfers poorly to conditions very different from those under which it was calibrated.

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