Pedestrian Travel Potential in Northern New Jersey: A Metropolitan Planning Organization’s Approach to Identifying Investment Priorities

Abstract

At metropolitan planning organizations such as the North Jersey Transportation Planning Authority (NJTPA), planning investments to support pedestrian trips for a large and diverse metropolitan area would be an intractable challenge without an open, coordinated, and cooperative approach and a strong information foundation. To address this challenge, NJTPA has adopted an innovative approach using regional analysis and priority setting to guide planning activity for a very local scale. The design and initial applications of this approach are described. Areas with proximity and connectivity features supporting pedestrian activity were identified using data available at the regional level. The data were analyzed within a pedestrian potential index (PPI) comprising four key indicators: population densities, employment densities, land use mix, and street network density, all analyzed at the census tract level. Thresholds were set to begin to find priority areas in which investment in pedestrian strategies would be more likely to generate a high return in terms of walking trips generated. The analysis also allows local planners to understand how their communities compare in relative levels of density, land use mix, and network connectivity. This information can help planners identify areas for planning activities that would address these factors and encourage walking trips. With the first results from application of the PPI, NJTPA has solicited feedback from state and local planning partners. With subsequent refinement, this analysis will be finalized for the region and incorporated in the next update of the NJTPA Regional Transportation Plan.

Comparative Associations of Street Network Design, Streetscape Attributes and Land-Use Characteristics on Pedestrian Flows in Peripheral Neighbourhoods

“…Continuous street pattern not only reduces trip length, but it also offers greater choice of travel routes and modes. Higher street connectivity related to increased walking is defined as increased number of intersections with fewer dead-end streets [58], more streets [59], high node-link ratio [60] and smaller block length [61]. Street patterns with gridded street networks, which tend to have relatively higher street connectivity and street network density, are associated with increased walking and biking [62].…”

Associations between street connectivity and active transportation

“…Diverse studies have examined the association between various measures of street connectivity including block length [16], block size [17-19], intersection density [18,20], percent four way intersections [16,21]; street density [22,23]; connected intersection ratio [19,24], and link node ratio [25]. Grid block and path length characteristics and derived indices such as the alpha and gamma index (see below) have also been reported and analyzed in relation to pedestrian behavior and mode choice [14,26-29].…”

Los efectos de la red vial en el comportamiento de viaje de las personas

“…Según otros autores, el concepto de conectividad se relaciona con el número de kilómetros lineales de calle por kilómetro cuadrado de un área, que se define como densidad de calles (Ball, 2012;Matley et al, 2000). Por lo general, las características físicas se consideran parte del diseño de una calle (Haybatollahi, 2015;Sharifi, 2019), y algunos estudios señalan que cuando hay cambios en las características del vecindario y las calles, el comportamiento del viaje también cambia (Cao, et 2007;Sharifi, 2019).…”