NivaarExam PrepOfficial exam papers ↗

16-Civ-A6 Highway Design, Construction, and Maintenance · May 2015

Question 1 of 7: Land Use, Trip Production and Trip Purpose

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Examination — 98-Civ-A6 Transportation Planning & Engineering, May 2015. Closed book (one two-sided aid sheet), 3 hours. Seven questions of equal value (20 marks); any five constitute a complete paper. All seven are solved here as a study resource.

Reference texts (subject):

Question 1: Land Use, Trip Production and Trip Purpose (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.

This is a conceptual question on the land-use / transportation feedback cycle and the structure of trip-generation models. It is answered in flowing prose.

(a) Low-density suburban residential development

Low-density, single-use suburban subdivisions disperse dwellings over a large area while employment stays concentrated in a relatively small number of centres — the downtown core, business parks and industrial nodes. Two consequences follow for work trips. First, travel distance increases. Because homes are spread thinly and jobs are clustered elsewhere, the average origin-to-destination separation for the journey to work grows, raising both trip length and vehicle-kilometres travelled. Low-density land use also lengthens the local "collector" portion of every trip before a traveller even reaches an arterial.

Second, mode choice shifts decisively toward the private automobile. Fixed-route transit needs a threshold of residential and employment density to be viable; at suburban densities, stops are far apart, coverage is thin and service is infrequent, so transit level of service is poor and its utility low. Walking and cycling are impractical over the resulting distances and in circulation-oriented street networks with few direct connections. The rational traveller therefore chooses to drive, and typically drives alone, producing high auto mode share, low occupancy and strong car dependence. In behavioural terms, the generalised cost of the car alternative is far lower than that of every non-auto mode, so a logit-type mode-choice model assigns the car a probability approaching one.

(b) One factor increasing trip production at each level

i) Zonal level — total number of households (or population/employment) in the zone. Trip production is an aggregate: the more households a zone contains, the more home-based trips it generates, holding per-household rates fixed. Adding dwellings or residents raises the zone's total productions roughly in proportion.

ii) Household level — number of vehicles available to the household (auto ownership). Car availability sharply raises the number of trips a household makes, because it lowers the generalised cost and increases the range of reachable destinations; cross-classification rates rise monotonically with vehicles owned. (The number of workers plays the same role for work trips specifically.)

iii) Person level — employment status / possession of a driver's licence. An employed, licensed adult makes mandatory work and work-related trips plus discretionary trips, whereas a non-worker or non-driver makes fewer and shorter trips. Employment and licensing therefore lift an individual's daily trip rate.

(c) Work trips versus non-work trips

Trip length. Work trips are on average the longest trips in the daily pattern: the workplace is fixed, often distant, and the commuter accepts a long journey for a high-value mandatory activity. Non-work trips — shopping, personal business, social and recreational travel — are usually shorter, because travellers satisfy them at the nearest acceptable opportunity (the closest grocery store, the neighbourhood school), and because their value does not justify long travel.

Temporal distribution. Work trips are strongly peaked: they concentrate in the morning and afternoon commuting peaks because start and finish times are institutionally fixed, and they drive peak-hour congestion and facility design. Non-work trips are far more spread out across the day — a midday shopping bump, an afternoon school peak, and dispersed evening social and recreational travel — because their timing is discretionary. Work trips are also regular and repetitive (the same trip five days a week), whereas non-work trips are variable in destination, timing and frequency.

← Paper overview